s2_download.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/GIS-PanTianLi/CloudCompare/blob/master/s2_download.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zgatU6F_bk7G",
        "outputId": "598cd0d5-15f6-4307-ae3c-2ab4175bdeb1"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ],
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "_KIj-oNqQn50"
      },
      "outputs": [],
      "source": [
        "import os\n",
        "# 修改路径至atmospheric.py所在目录\n",
        "os.chdir(\"/content/drive/MyDrive/ColabWork/Python6S\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2UM0GoZdcaGL",
        "outputId": "ed8725ff-75d3-445a-ba16-542cf571d9a5"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Using built-in specs.\n",
            "COLLECT_GCC=gfortran\n",
            "COLLECT_LTO_WRAPPER=/usr/lib/gcc/x86_64-linux-gnu/11/lto-wrapper\n",
            "OFFLOAD_TARGET_NAMES=nvptx-none:amdgcn-amdhsa\n",
            "OFFLOAD_TARGET_DEFAULT=1\n",
            "Target: x86_64-linux-gnu\n",
            "Configured with: ../src/configure -v --with-pkgversion='Ubuntu 11.4.0-1ubuntu1~22.04' --with-bugurl=file:///usr/share/doc/gcc-11/README.Bugs --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --prefix=/usr --with-gcc-major-version-only --program-suffix=-11 --program-prefix=x86_64-linux-gnu- --enable-shared --enable-linker-build-id --libexecdir=/usr/lib --without-included-gettext --enable-threads=posix --libdir=/usr/lib --enable-nls --enable-bootstrap --enable-clocale=gnu --enable-libstdcxx-debug --enable-libstdcxx-time=yes --with-default-libstdcxx-abi=new --enable-gnu-unique-object --disable-vtable-verify --enable-plugin --enable-default-pie --with-system-zlib --enable-libphobos-checking=release --with-target-system-zlib=auto --enable-objc-gc=auto --enable-multiarch --disable-werror --enable-cet --with-arch-32=i686 --with-abi=m64 --with-multilib-list=m32,m64,mx32 --enable-multilib --with-tune=generic --enable-offload-targets=nvptx-none=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-gcn/usr --without-cuda-driver --enable-checking=release --build=x86_64-linux-gnu --host=x86_64-linux-gnu --target=x86_64-linux-gnu --with-build-config=bootstrap-lto-lean --enable-link-serialization=2\n",
            "Thread model: posix\n",
            "Supported LTO compression algorithms: zlib zstd\n",
            "gcc version 11.4.0 (Ubuntu 11.4.0-1ubuntu1~22.04) \n"
          ]
        }
      ],
      "source": [
        "!gfortran -v"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "aSCBbJpqcnyb",
        "outputId": "fe12efc6-a1a7-4028-ad41-b64df6b21136"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "--2023-09-13 09:12:50--  http://rtwilson.com/downloads/6SV-1.1.tar\n",
            "Resolving rtwilson.com (rtwilson.com)... 173.236.224.184\n",
            "Connecting to rtwilson.com (rtwilson.com)|173.236.224.184|:80... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 4075520 (3.9M) [application/x-tar]\n",
            "Saving to: ‘6SV-1.1.tar.1’\n",
            "\n",
            "6SV-1.1.tar.1       100%[===================>]   3.89M  9.95MB/s    in 0.4s    \n",
            "\n",
            "2023-09-13 09:12:51 (9.95 MB/s) - ‘6SV-1.1.tar.1’ saved [4075520/4075520]\n",
            "\n",
            "6SV1.1/\n",
            "6SV1.1/AATSR.f\n",
            "6SV1.1/ABSTRA.f\n",
            "6SV1.1/AEROPROF.f\n",
            "6SV1.1/AEROSO.f\n",
            "6SV1.1/AKTOOL.f\n",
            "6SV1.1/ATMREF.f\n",
            "6SV1.1/AVHRR.f\n",
            "6SV1.1/BBM.f\n",
            "6SV1.1/BDM.f\n",
            "6SV1.1/BRDFGRID.f\n",
            "6SV1.1/CHAND.f\n",
            "6SV1.1/CLEARW.f\n",
            "6SV1.1/CSALBR.f\n",
            "6SV1.1/DICA1.f\n",
            "6SV1.1/DICA2.f\n",
            "6SV1.1/DICA3.f\n",
            "6SV1.1/DISCOM.f\n",
            "6SV1.1/DISCRE.f\n",
            "6SV1.1/DUST.f\n",
            "6SV1.1/ENVIRO.f\n",
            "6SV1.1/EQUIVWL.f\n",
            "6SV1.1/GAUSS.f\n",
            "6SV1.1/GLI.f\n",
            "6SV1.1/GOES.f\n",
            "6SV1.1/HAPKALBE.f\n",
            "6SV1.1/HAPKBRDF.f\n",
            "6SV1.1/HRV.f\n",
            "6SV1.1/IAPIALBE.f\n",
            "6SV1.1/IAPIBRDF.f\n",
            "6SV1.1/IAPITOOLS.f\n",
            "6SV1.1/INTERP.f\n",
            "6SV1.1/ISO.f\n",
            "6SV1.1/KERNEL.f\n",
            "6SV1.1/KERNELPOL.f\n",
            "6SV1.1/LAKEW.f\n",
            "6SV1.1/main.f\n",
            "6SV1.1/MAS.f\n",
            "6SV1.1/MERIS.f\n",
            "6SV1.1/METEO.f\n",
            "6SV1.1/METH1.f\n",
            "6SV1.1/METH2.f\n",
            "6SV1.1/METH3.f\n",
            "6SV1.1/METH4.f\n",
            "6SV1.1/METH5.f\n",
            "6SV1.1/METH6.f\n",
            "6SV1.1/MIDSUM.f\n",
            "6SV1.1/MIDWIN.f\n",
            "6SV1.1/MIE.f\n",
            "6SV1.1/MINNALBE.f\n",
            "6SV1.1/MINNBRDF.f\n",
            "6SV1.1/MOCA1.f\n",
            "6SV1.1/MOCA2.f\n",
            "6SV1.1/MOCA3.f\n",
            "6SV1.1/MOCA4.f\n",
            "6SV1.1/MOCA5.f\n",
            "6SV1.1/MOCA6.f\n",
            "6SV1.1/MODISALBE.f\n",
            "6SV1.1/MODISBRDF.f\n",
            "6SV1.1/MODIS.f\n",
            "6SV1.1/MSS.f\n",
            "6SV1.1/NIOX1.f\n",
            "6SV1.1/NIOX2.f\n",
            "6SV1.1/NIOX3.f\n",
            "6SV1.1/NIOX4.f\n",
            "6SV1.1/NIOX5.f\n",
            "6SV1.1/NIOX6.f\n",
            "6SV1.1/OCEAALBE.f\n",
            "6SV1.1/OCEABRDF.f\n",
            "6SV1.1/OCEABRDFFAST.f\n",
            "6SV1.1/OCEA.f\n",
            "6SV1.1/OCEATOOLS.f\n",
            "6SV1.1/ODA550.f\n",
            "6SV1.1/ODRAYL.f\n",
            "6SV1.1/OS.f\n",
            "6SV1.1/OSPOL.f\n",
            "6SV1.1/OXYG3.f\n",
            "6SV1.1/OXYG4.f\n",
            "6SV1.1/OXYG5.f\n",
            "6SV1.1/OXYG6.f\n",
            "6SV1.1/OZON1.f\n",
            "6SV1.1/PLANPOL.f\n",
            "6SV1.1/POLDER.f\n",
            "6SV1.1/POLGLIT.f\n",
            "6SV1.1/POLNAD.f\n",
            "6SV1.1/POSGE.f\n",
            "6SV1.1/POSGW.f\n",
            "6SV1.1/POSLAN.f\n",
            "6SV1.1/POSMTO.f\n",
            "6SV1.1/POSNOA.f\n",
            "6SV1.1/POSSOL.f\n",
            "6SV1.1/POSSPO.f\n",
            "6SV1.1/PRESPLANE.f\n",
            "6SV1.1/PRESSURE.f\n",
            "6SV1.1/PRINT_ERROR.f\n",
            "6SV1.1/RAHMALBE.f\n",
            "6SV1.1/RAHMBRDF.f\n",
            "6SV1.1/ROUJALBE.f\n",
            "6SV1.1/ROUJBRDF.f\n",
            "6SV1.1/SAND.f\n",
            "6SV1.1/SCATRA.f\n",
            "6SV1.1/SEAWIFS.f\n",
            "6SV1.1/SOLIRR.f\n",
            "6SV1.1/SOOT.f\n",
            "6SV1.1/SPECINTERP.f\n",
            "6SV1.1/SPLIE2.f\n",
            "6SV1.1/SPLIN2.f\n",
            "6SV1.1/SPLINE.f\n",
            "6SV1.1/SPLINT.f\n",
            "6SV1.1/STM.f\n",
            "6SV1.1/SUBSUM.f\n",
            "6SV1.1/SUBWIN.f\n",
            "6SV1.1/TM.f\n",
            "6SV1.1/TROPIC.f\n",
            "6SV1.1/TRUNCA.f\n",
            "6SV1.1/US62.f\n",
            "6SV1.1/VARSOL.f\n",
            "6SV1.1/VEGETA.f\n",
            "6SV1.1/VERSALBE.f\n",
            "6SV1.1/VERSBRDF.f\n",
            "6SV1.1/VERSTOOLS.f\n",
            "6SV1.1/WALTALBE.f\n",
            "6SV1.1/WALTBRDF.f\n",
            "6SV1.1/WATE.f\n",
            "6SV1.1/WAVA1.f\n",
            "6SV1.1/WAVA2.f\n",
            "6SV1.1/WAVA3.f\n",
            "6SV1.1/WAVA4.f\n",
            "6SV1.1/WAVA5.f\n",
            "6SV1.1/WAVA6.f\n",
            "6SV1.1/Makefile\n",
            "6SV1.1/paramdef.inc\n",
            "6SV1.1/sixsV1.1\n",
            "6SV1.1/ASTER.f\n",
            "6SV1.1/ALI.f\n",
            "6SV1.1/ETM.f\n",
            "6SV1.1/HYPBLUE.f\n",
            "6SV1.1/VIIRS.f\n",
            "6SV1.1/VGT.f\n",
            "Examples/\n",
            "Examples/Example_In_3.txt\n",
            "Examples/Example_Out_3.txt\n",
            "Examples/Example_In_1.txt\n",
            "Examples/Example_Out_1.txt\n",
            "Examples/Example_In_2.txt\n",
            "Examples/Example_Out_2.txt\n",
            "Examples/Example_In_4.txt\n",
            "Examples/Example_Out_4.txt\n"
          ]
        }
      ],
      "source": [
        "!wget http://rtwilson.com/downloads/6SV-1.1.tar\n",
        "!tar xvf 6SV-1.1.tar\n",
        "!cd 6SV1.1"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Xiq0H6XVdaAD",
        "outputId": "67d858b3-9b85-46e1-ac10-10fe98c5b5a7"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "AATSR.f     DISCRE.o\t main.f      MOCA5.f\t     OS.o\t   PRESSURE.o\t  TM.o\n",
            "AATSR.o     DUST.f\t main.o      MOCA5.o\t     OSPOL.f\t   PRINT_ERROR.f  TROPIC.f\n",
            "ABSTRA.f    DUST.o\t Makefile    MOCA6.f\t     OSPOL.o\t   PRINT_ERROR.o  TROPIC.o\n",
            "ABSTRA.o    ENVIRO.f\t MAS.f\t     MOCA6.o\t     OXYG3.f\t   RAHMALBE.f\t  TRUNCA.f\n",
            "AEROPROF.f  ENVIRO.o\t MAS.o\t     MODISALBE.f     OXYG3.o\t   RAHMALBE.o\t  TRUNCA.o\n",
            "AEROPROF.o  EQUIVWL.f\t MERIS.f     MODISALBE.o     OXYG4.f\t   RAHMBRDF.f\t  US62.f\n",
            "AEROSO.f    EQUIVWL.o\t MERIS.o     MODISBRDF.f     OXYG4.o\t   RAHMBRDF.o\t  US62.o\n",
            "AEROSO.o    ETM.f\t METEO.f     MODISBRDF.o     OXYG5.f\t   ROUJALBE.f\t  VARSOL.f\n",
            "AKTOOL.f    ETM.o\t METEO.o     MODIS.f\t     OXYG5.o\t   ROUJALBE.o\t  VARSOL.o\n",
            "AKTOOL.o    GAUSS.f\t METH1.f     MODIS.o\t     OXYG6.f\t   ROUJBRDF.f\t  VEGETA.f\n",
            "ALI.f\t    GAUSS.o\t METH1.o     MSS.f\t     OXYG6.o\t   ROUJBRDF.o\t  VEGETA.o\n",
            "ALI.o\t    GLI.f\t METH2.f     MSS.o\t     OZON1.f\t   SAND.f\t  VERSALBE.f\n",
            "ASTER.f     GLI.o\t METH2.o     NIOX1.f\t     OZON1.o\t   SAND.o\t  VERSALBE.o\n",
            "ASTER.o     GOES.f\t METH3.f     NIOX1.o\t     paramdef.inc  SCATRA.f\t  VERSBRDF.f\n",
            "ATMREF.f    GOES.o\t METH3.o     NIOX2.f\t     PLANPOL.f\t   SCATRA.o\t  VERSBRDF.o\n",
            "ATMREF.o    HAPKALBE.f\t METH4.f     NIOX2.o\t     PLANPOL.o\t   SEAWIFS.f\t  VERSTOOLS.f\n",
            "AVHRR.f     HAPKALBE.o\t METH4.o     NIOX3.f\t     POLDER.f\t   SEAWIFS.o\t  VERSTOOLS.o\n",
            "AVHRR.o     HAPKBRDF.f\t METH5.f     NIOX3.o\t     POLDER.o\t   sixsV1.1\t  VGT.f\n",
            "BBM.f\t    HAPKBRDF.o\t METH5.o     NIOX4.f\t     POLGLIT.f\t   SOLIRR.f\t  VGT.o\n",
            "BBM.o\t    HRV.f\t METH6.f     NIOX4.o\t     POLGLIT.o\t   SOLIRR.o\t  VIIRS.f\n",
            "BDM.f\t    HRV.o\t METH6.o     NIOX5.f\t     POLNAD.f\t   SOOT.f\t  VIIRS.o\n",
            "BDM.o\t    HYPBLUE.f\t MIDSUM.f    NIOX5.o\t     POLNAD.o\t   SOOT.o\t  WALTALBE.f\n",
            "BRDFGRID.f  HYPBLUE.o\t MIDSUM.o    NIOX6.f\t     POSGE.f\t   SPECINTERP.f   WALTALBE.o\n",
            "BRDFGRID.o  IAPIALBE.f\t MIDWIN.f    NIOX6.o\t     POSGE.o\t   SPECINTERP.o   WALTBRDF.f\n",
            "CHAND.f     IAPIALBE.o\t MIDWIN.o    OCEAALBE.f      POSGW.f\t   SPLIE2.f\t  WALTBRDF.o\n",
            "CHAND.o     IAPIBRDF.f\t MIE.f\t     OCEAALBE.o      POSGW.o\t   SPLIE2.o\t  WATE.f\n",
            "CLEARW.f    IAPIBRDF.o\t MIE.o\t     OCEABRDF.f      POSLAN.f\t   SPLIN2.f\t  WATE.o\n",
            "CLEARW.o    IAPITOOLS.f  MINNALBE.f  OCEABRDFFAST.f  POSLAN.o\t   SPLIN2.o\t  WAVA1.f\n",
            "CSALBR.f    IAPITOOLS.o  MINNALBE.o  OCEABRDFFAST.o  POSMTO.f\t   SPLINE.f\t  WAVA1.o\n",
            "CSALBR.o    INTERP.f\t MINNBRDF.f  OCEABRDF.o      POSMTO.o\t   SPLINE.o\t  WAVA2.f\n",
            "DICA1.f     INTERP.o\t MINNBRDF.o  OCEA.f\t     POSNOA.f\t   SPLINT.f\t  WAVA2.o\n",
            "DICA1.o     ISO.f\t MOCA1.f     OCEA.o\t     POSNOA.o\t   SPLINT.o\t  WAVA3.f\n",
            "DICA2.f     ISO.o\t MOCA1.o     OCEATOOLS.f     POSSOL.f\t   STM.f\t  WAVA3.o\n",
            "DICA2.o     KERNEL.f\t MOCA2.f     OCEATOOLS.o     POSSOL.o\t   STM.o\t  WAVA4.f\n",
            "DICA3.f     KERNEL.o\t MOCA2.o     ODA550.f\t     POSSPO.f\t   SUBSUM.f\t  WAVA4.o\n",
            "DICA3.o     KERNELPOL.f  MOCA3.f     ODA550.o\t     POSSPO.o\t   SUBSUM.o\t  WAVA5.f\n",
            "DISCOM.f    KERNELPOL.o  MOCA3.o     ODRAYL.f\t     PRESPLANE.f   SUBWIN.f\t  WAVA5.o\n",
            "DISCOM.o    LAKEW.f\t MOCA4.f     ODRAYL.o\t     PRESPLANE.o   SUBWIN.o\t  WAVA6.f\n",
            "DISCRE.f    LAKEW.o\t MOCA4.o     OS.f\t     PRESSURE.f    TM.f\t\t  WAVA6.o\n",
            "gfortran -std=legacy -ffixed-line-length-none -ffpe-summary=none -O  main.o  AATSR.o ABSTRA.o AEROSO.o AKTOOL.o ATMREF.o AVHRR.o BBM.o BDM.o BRDFGRID.o CHAND.o CLEARW.o CSALBR.o DICA1.o DICA2.o DICA3.o  DISCOM.o DISCRE.o DUST.o ENVIRO.o EQUIVWL.o GAUSS.o GLI.o GOES.o HAPKALBE.o HAPKBRDF.o HRV.o IAPIALBE.o IAPIBRDF.o IAPITOOLS.o INTERP.o ISO.o KERNEL.o KERNELPOL.o LAKEW.o MAS.o MERIS.o METEO.o METH1.o METH2.o METH3.o METH4.o METH5.o METH6.o MIDSUM.o MIDWIN.o MIE.o MINNALBE.o MINNBRDF.o MOCA1.o MOCA2.o MOCA3.o MOCA4.o MOCA5.o MOCA6.o MODIS.o MSS.o NIOX1.o MODISBRDF.o MODISALBE.o NIOX2.o NIOX3.o NIOX4.o NIOX5.o NIOX6.o OCEA.o OCEAALBE.o OCEABRDF.o OCEABRDFFAST.o OCEATOOLS.o ODA550.o ODRAYL.o OS.o OSPOL.o OXYG3.o OXYG4.o OXYG5.o OXYG6.o OZON1.o PLANPOL.o POLDER.o POSGE.o POSGW.o POSLAN.o POSMTO.o POSNOA.o POSSOL.o POSSPO.o POLGLIT.o POLNAD.o PRESPLANE.o PRESSURE.o PRINT_ERROR.o RAHMALBE.o RAHMBRDF.o ROUJALBE.o ROUJBRDF.o SAND.o SCATRA.o SEAWIFS.o SOLIRR.o SOOT.o SPECINTERP.o SPLIE2.o SPLIN2.o SPLINE.o SPLINT.o STM.o SUBSUM.o SUBWIN.o TM.o TROPIC.o TRUNCA.o US62.o VARSOL.o VEGETA.o VERSALBE.o VERSBRDF.o VERSTOOLS.o WALTALBE.o WALTBRDF.o WATE.o WAVA1.o WAVA2.o WAVA3.o WAVA4.o WAVA5.o WAVA6.o AEROPROF.o ALI.o ASTER.o ETM.o HYPBLUE.o VGT.o VIIRS.o -o sixsV1.1  -lm\n"
          ]
        }
      ],
      "source": [
        "# !wget http://rtwilson.com/downloads/sixs_mac\n",
        "os.chdir(\"/content/drive/MyDrive/ColabWork/Python6S/6SV1.1\")\n",
        "!ls\n",
        "!make"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qpTbWjU_d3Ll",
        "outputId": "0229b521-30bd-4069-f0b2-98b531f5baf9"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "******************************* 6SV version 1.1 *******************************\n",
            "*                                                                             *\n",
            "*                       geometrical conditions identity                       *\n",
            "*                       -------------------------------                       *\n",
            "*                       user defined conditions                               *\n",
            "*                                                                             *\n",
            "*   month:  7 day :  23                                                       *\n",
            "*   solar zenith angle:   40.00 deg  solar azimuthal angle:      100.00 deg   *\n",
            "*   view zenith angle:    45.00 deg  view azimuthal angle:        50.00 deg   *\n",
            "*   scattering angle:    146.49 deg  azimuthal angle difference:  50.00 deg   *\n",
            "*                                                                             *\n",
            "*                       atmospheric model description                         *\n",
            "*                       -----------------------------                         *\n",
            "*           atmospheric model identity :                                      *\n",
            "*             user defined water content : uh2o= 3.000 g/cm2                  *\n",
            "*             user defined ozone content : uo3 = 3.500 cm-atm                 *\n",
            "*           aerosols type identity :                                          *\n",
            "*             user-defined aerosol model:                                     *\n",
            "*                           0.250 % of dust-like                              *\n",
            "*                           0.250 % of water-soluble                          *\n",
            "*                           0.250 % of oceanic                                *\n",
            "*                           0.250 % of soot                                   *\n",
            "*           optical condition identity :                                      *\n",
            "*               visibility :  8.49 km  opt. thick. 550 nm :  0.5000           *\n",
            "*                                                                             *\n",
            "*                       spectral condition                                    *\n",
            "*                       ------------------                                    *\n",
            "*           avhrr 1 (noaa9)                                                   *\n",
            "*               value of filter function :                                    *\n",
            "*                wl inf= 0.530 mic   wl sup= 0.810 mic                        *\n",
            "*                                                                             *\n",
            "*                       Surface polarization parameters                       *\n",
            "*                       ----------------------------------                    *\n",
            "*                                                                             *\n",
            "*                                                                             *\n",
            "* Surface Polarization Q,U,Rop,Chi    0.00000  0.00000  0.00000     0.00      *\n",
            "*                                                                             *\n",
            "*                                                                             *\n",
            "*                       target type                                           *\n",
            "*                       -----------                                           *\n",
            "*           inhomogeneous ground , radius of target  0.500 km                 *\n",
            "*                target reflectance :                                         *\n",
            "*             spectral clear water reflectance       0.045                    *\n",
            "*                environmental reflectance :                                  *\n",
            "*             spectral vegetation ground reflectance 0.129                    *\n",
            "*                                                                             *\n",
            "*                       target elevation description                          *\n",
            "*                       ----------------------------                          *\n",
            "*           ground pressure  [mb]  989.01                                     *\n",
            "*           ground altitude  [km] 0.200                                       *\n",
            "*                gaseous content at target level:                             *\n",
            "*                uh2o= 3.000 g/cm2        uo3= 3.500 cm-atm                   *\n",
            "*                                                                             *\n",
            "*                       plane simulation description                          *\n",
            "*                       ----------------------------                          *\n",
            "*           plane  pressure          [mb]  657.54                             *\n",
            "*           plane  altitude absolute [km]  3.500                              *\n",
            "*                atmosphere under plane description:                          *\n",
            "*                ozone content             0.082                              *\n",
            "*                h2o   content             2.389                              *\n",
            "*               aerosol opt. thick. 550nm  0.281                              *\n",
            "*                                                                             *\n",
            "*                        atmospheric correction activated                     *\n",
            "*                        --------------------------------                     *\n",
            "*                        BRDF coupling correction                             *\n",
            "*           input apparent reflectance :  0.100                               *\n",
            "*                                                                             *\n",
            "*******************************************************************************\n",
            "\n",
            "\n",
            "\n",
            "*******************************************************************************\n",
            "*                                                                             *\n",
            "*                         integrated values of  :                             *\n",
            "*                         --------------------                                *\n",
            "*                                                                             *\n",
            "*       apparent reflectance  0.0330896  appar. rad.(w/m2/sr/mic)   12.749    *\n",
            "*                   total gaseous transmittance  0.675                        *\n",
            "*                                                                             *\n",
            "*******************************************************************************\n",
            "*                                                                             *\n",
            "*                         coupling aerosol -wv  :                             *\n",
            "*                         --------------------                                *\n",
            "*           wv above aerosol :   0.033     wv mixed with aerosol :   0.033    *\n",
            "*                       wv under aerosol :   0.033                            *\n",
            "*******************************************************************************\n",
            "*                                                                             *\n",
            "*                         integrated values of  :                             *\n",
            "*                         --------------------                                *\n",
            "*                                                                             *\n",
            "*       app. polarized refl.  0.0014    app. pol. rad. (w/m2/sr/mic)    0.065 *\n",
            "*             direction of the plane of polarization-27.40                    *\n",
            "*                   total polarization ratio     0.043                        *\n",
            "*                                                                             *\n",
            "*******************************************************************************\n",
            "*                                                                             *\n",
            "*                         int. normalized  values  of  :                      *\n",
            "*                         ---------------------------                         *\n",
            "*                      % of irradiance at ground level                        *\n",
            "*     % of direct  irr.    % of diffuse irr.    % of enviro. irr              *\n",
            "*               0.773               0.221               0.005                 *\n",
            "*                       reflectance at satellite level                        *\n",
            "*     atm. intrin. ref.   environment ref.  target reflectance                *\n",
            "*               0.015               0.004               0.014                 *\n",
            "*                                                                             *\n",
            "*                         int. absolute values of                             *\n",
            "*                         -----------------------                             *\n",
            "*                      irr. at ground level (w/m2/mic)                        *\n",
            "*     direct solar irr.    atm. diffuse irr.    environment  irr              *\n",
            "*             453.574             127.136               3.157                 *\n",
            "*                      rad at satel. level (w/m2/sr/mic)                      *\n",
            "*     atm. intrin. rad.    environment rad.    target radiance                *\n",
            "*               5.649               1.633               5.468                 *\n",
            "*                                                                             *\n",
            "*                                                                             *\n",
            "*          int. funct filter (in mic)              int. sol. spect (in w/m2)  *\n",
            "*             0.1174545                                 185.589               *\n",
            "*                                                                             *\n",
            "*******************************************************************************\n",
            " \n",
            "\n",
            "\n",
            "\n",
            "\n",
            "*******************************************************************************\n",
            "*                                                                             *\n",
            "*                          integrated values of  :                            *\n",
            "*                          --------------------                               *\n",
            "*                                                                             *\n",
            "*                             downward        upward          total           *\n",
            "*      global gas. trans. :     0.68965        0.97248        0.67513         *\n",
            "*      water   \"     \"    :     0.98573        0.98623        0.97592         *\n",
            "*      ozone   \"     \"    :     0.70609        0.99079        0.70008         *\n",
            "*      co2     \"     \"    :     1.00000        1.00000        1.00000         *\n",
            "*      oxyg    \"     \"    :     0.99344        0.99533        0.99179         *\n",
            "*      no2     \"     \"    :     1.00000        1.00000        1.00000         *\n",
            "*      ch4     \"     \"    :     1.00000        1.00000        1.00000         *\n",
            "*      co      \"     \"    :     1.00000        1.00000        1.00000         *\n",
            "*                                                                             *\n",
            "*                                                                             *\n",
            "*      rayl.  sca. trans. :     0.96494        0.93809        0.90520         *\n",
            "*      aeros. sca.   \"    :     0.72090        0.82111        0.59194         *\n",
            "*      total  sca.   \"    :     0.69208        0.81074        0.56110         *\n",
            "*                                                                             *\n",
            "*                                                                             *\n",
            "*                                                                             *\n",
            "*                             rayleigh       aerosols         total           *\n",
            "*                                                                             *\n",
            "*      spherical albedo   :     0.04939        0.04918        0.06820         *\n",
            "*      optical depth total:     0.05550        0.42021        0.47570         *\n",
            "*      optical depth plane:     0.01848        0.23606        0.25454         *\n",
            "*      reflectance I      :     0.01098        0.01327        0.02175         *\n",
            "*      reflectance Q      :     0.00118        0.00037        0.00122         *\n",
            "*      reflectance U      :    -0.00156        0.00000       -0.00173         *\n",
            "*      polarized reflect. :     0.00195        0.00037        0.00212         *\n",
            "*      degree of polar.   :       17.77           2.76           9.75         *\n",
            "*      dir. plane polar.  :      -26.48           0.00         -27.43         *\n",
            "*      phase function I   :     1.26026        0.27565        0.39051         *\n",
            "*      phase function Q   :    -0.21911       -0.00611       -0.03096         *\n",
            "*      phase function U   :    -1.19913       -0.15957       -0.28084         *\n",
            "*      primary deg. of pol:    -0.17386       -0.02215       -0.07927         *\n",
            "*      sing. scat. albedo :     1.00000        0.52284        0.57850         *\n",
            "*                                                                             *\n",
            "*                                                                             *\n",
            "*******************************************************************************\n",
            "*******************************************************************************\n",
            "\n",
            "\n",
            "\n",
            "*******************************************************************************\n",
            "*                        atmospheric correction result                        *\n",
            "*                        -----------------------------                        *\n",
            "*       input apparent reflectance            :    0.100                      *\n",
            "*       measured radiance [w/m2/sr/mic]       :   38.529                      *\n",
            "*       atmospherically corrected reflectance                                 *\n",
            "*       Lambertian case :      0.22187                                        *\n",
            "*       BRDF       case :      0.22187                                        *\n",
            "*       coefficients xa xb xc                 :  0.00685  0.03870  0.06820    *\n",
            "*       y=xa*(measured radiance)-xb;  acr=y/(1.+xc*y)                         *\n",
            "*******************************************************************************\n",
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            "Requirement already satisfied: pycparser in /usr/local/lib/python3.10/dist-packages (from cffi>=1.0.1->argon2-cffi-bindings->argon2-cffi->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets->ipyfilechooser>=0.6.0->geemap) (2.22)\n",
            "Installing collected packages: py, jedi, retry\n",
            "Successfully installed jedi-0.19.1 py-1.11.0 retry-0.9.2\n",
            "Requirement already satisfied: geopandas in /usr/local/lib/python3.10/dist-packages (0.13.2)\n",
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            "Requirement already satisfied: numpy>=1.21.0 in /usr/local/lib/python3.10/dist-packages (from pandas>=1.1.0->geopandas) (1.25.2)\n",
            "Collecting Py6S\n",
            "  Downloading Py6S-1.9.2.tar.gz (80 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m80.2/80.2 kB\u001b[0m \u001b[31m1.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
            "  Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
            "  Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "Collecting pysolar>=0.9 (from Py6S)\n",
            "  Downloading pysolar-0.11-py3-none-any.whl (47 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m47.1/47.1 kB\u001b[0m \u001b[31m6.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: scipy in /usr/local/lib/python3.10/dist-packages (from Py6S) (1.11.4)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from pysolar>=0.9->Py6S) (1.25.2)\n",
            "Building wheels for collected packages: Py6S\n",
            "  Building wheel for Py6S (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for Py6S: filename=Py6S-1.9.2-py3-none-any.whl size=92223 sha256=73ae4ff955ccf24ff45ad58e6cc34cbbb353888545401227255c6d7f6b749ab3\n",
            "  Stored in directory: /root/.cache/pip/wheels/32/38/16/78463400cda5d89e01116a56729a45243739f18faff7e948f0\n",
            "Successfully built Py6S\n",
            "Installing collected packages: pysolar, Py6S\n",
            "Successfully installed Py6S-1.9.2 pysolar-0.11\n",
            "6S wrapper script by Robin Wilson\n",
            "Using 6S located at /content/drive/MyDrive/ColabWork/Python6S/6SV1.1/sixsV1.1\n",
            "Running 6S using a set of test parameters\n",
            "6sV version: 1.1\n",
            "The results are:\n",
            "Expected result: 619.158000\n",
            "Actual result: 619.158000\n",
            "#### Results agree, Py6S is working correctly\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ],
      "source": [
        "os.chdir(\"/content/drive/MyDrive/ColabWork/Python6S/6SV1.1\")\n",
        "os.environ[\"PATH\"]=\"/content/drive/MyDrive/ColabWork/Python6S/6SV1.1:\"+os.environ[\"PATH\"]\n",
        "# test\n",
        "!sixsV1.1 < /content/drive/MyDrive/ColabWork/Python6S/Examples/Example_In_1.txt\n",
        "!pip install geemap retry\n",
        "!pip install geopandas\n",
        "!pip install Py6S\n",
        "from Py6S import *\n",
        "SixS.test()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "MVXaz-R1d7fr"
      },
      "outputs": [],
      "source": [
        "\"\"\"\n",
        "atmospheric.py, Sam Murphy (2016-10-26)\n",
        "\n",
        "Atmospheric water vapour, ozone and AOT from GEE\n",
        "\n",
        "Usage\n",
        "H2O = Atmospheric.water(geom,date)\n",
        "O3 = Atmospheric.ozone(geom,date)\n",
        "AOT = Atmospheric.aerosol(geom,date)\n",
        "\n",
        "\"\"\"\n",
        "\n",
        "\n",
        "import ee\n",
        "\n",
        "class Atmospheric():\n",
        "\n",
        "  def round_date(date,xhour):\n",
        "    \"\"\"\n",
        "    rounds a date of to the closest 'x' hours\n",
        "    \"\"\"\n",
        "    y = date.get('year')\n",
        "    m = date.get('month')\n",
        "    d = date.get('day')\n",
        "    H = date.get('hour')\n",
        "    HH = H.divide(xhour).round().multiply(xhour)\n",
        "    return date.fromYMD(y,m,d).advance(HH,'hour')\n",
        "\n",
        "  def round_month(date):\n",
        "    \"\"\"\n",
        "    round date to closest month\n",
        "    \"\"\"\n",
        "    # start of THIS month\n",
        "    m1 = date.fromYMD(date.get('year'),date.get('month'),ee.Number(1))\n",
        "\n",
        "    # start of NEXT month\n",
        "    m2 = m1.advance(1,'month')\n",
        "\n",
        "    # difference from date\n",
        "    d1 = ee.Number(date.difference(m1,'day')).abs()\n",
        "    d2 = ee.Number(date.difference(m2,'day')).abs()\n",
        "\n",
        "    # return closest start of month\n",
        "    return ee.Date(ee.Algorithms.If(d2.gt(d1),m1,m2))\n",
        "\n",
        "\n",
        "\n",
        "  def water(geom,date):\n",
        "    \"\"\"\n",
        "    Water vapour column above target at time of image aquisition.\n",
        "\n",
        "    (Kalnay et al., 1996, The NCEP/NCAR 40-Year Reanalysis Project. Bull.\n",
        "    Amer. Meteor. Soc., 77, 437-471)\n",
        "    \"\"\"\n",
        "\n",
        "    # Point geometry required\n",
        "    centroid = geom.centroid()\n",
        "\n",
        "    # H2O datetime is in 6 hour intervals\n",
        "    H2O_date = Atmospheric.round_date(date,6)\n",
        "\n",
        "    # filtered water collection\n",
        "    water_ic = ee.ImageCollection('NCEP_RE/surface_wv').filterDate(H2O_date, H2O_date.advance(1,'month'))\n",
        "\n",
        "    # water image\n",
        "    water_img = ee.Image(water_ic.first())\n",
        "\n",
        "    # water_vapour at target\n",
        "    water = water_img.reduceRegion(reducer=ee.Reducer.mean(), geometry=centroid).get('pr_wtr')\n",
        "\n",
        "    # convert to Py6S units (Google = kg/m^2, Py6S = g/cm^2)\n",
        "    water_Py6S_units = ee.Number(water).divide(10)\n",
        "\n",
        "    return water_Py6S_units\n",
        "\n",
        "\n",
        "\n",
        "  def ozone(geom,date):\n",
        "    \"\"\"\n",
        "    returns ozone measurement from merged TOMS/OMI dataset\n",
        "\n",
        "    OR\n",
        "\n",
        "    uses our fill value (which is mean value for that latlon and day-of-year)\n",
        "\n",
        "    \"\"\"\n",
        "\n",
        "    # Point geometry required\n",
        "    centroid = geom.centroid()\n",
        "\n",
        "    def ozone_measurement(centroid,O3_date):\n",
        "\n",
        "      # filtered ozone collection\n",
        "      ozone_ic = ee.ImageCollection('TOMS/MERGED').filterDate(O3_date, O3_date.advance(1,'month'))\n",
        "\n",
        "      # ozone image\n",
        "      ozone_img = ee.Image(ozone_ic.first())\n",
        "\n",
        "      # ozone value IF TOMS/OMI image exists ELSE use fill value\n",
        "      ozone = ee.Algorithms.If(ozone_img,\\\n",
        "      ozone_img.reduceRegion(reducer=ee.Reducer.mean(), geometry=centroid).get('ozone'),\\\n",
        "      ozone_fill(centroid,O3_date))\n",
        "\n",
        "      return ozone\n",
        "\n",
        "    def ozone_fill(centroid,O3_date):\n",
        "      \"\"\"\n",
        "      Gets our ozone fill value (i.e. mean value for that doy and latlon)\n",
        "\n",
        "      you can see it\n",
        "      1) compared to LEDAPS: https://code.earthengine.google.com/8e62a5a66e4920e701813e43c0ecb83e\n",
        "      2) as a video: https://www.youtube.com/watch?v=rgqwvMRVguI&feature=youtu.be\n",
        "\n",
        "      \"\"\"\n",
        "\n",
        "      # ozone fills (i.e. one band per doy)\n",
        "      ozone_fills = ee.ImageCollection('users/samsammurphy/public/ozone_fill').toList(366)\n",
        "\n",
        "      # day of year index\n",
        "      jan01 = ee.Date.fromYMD(O3_date.get('year'),1,1)\n",
        "      doy_index = date.difference(jan01,'day').toInt()# (NB. index is one less than doy, so no need to +1)\n",
        "\n",
        "      # day of year image\n",
        "      fill_image = ee.Image(ozone_fills.get(doy_index))\n",
        "\n",
        "      # return scalar fill value\n",
        "      return fill_image.reduceRegion(reducer=ee.Reducer.mean(), geometry=centroid).get('ozone')\n",
        "\n",
        "    # O3 datetime in 24 hour intervals\n",
        "    O3_date = Atmospheric.round_date(date,24)\n",
        "\n",
        "    # TOMS temporal gap\n",
        "    TOMS_gap = ee.DateRange('1994-11-01','1996-08-01')\n",
        "\n",
        "    # avoid TOMS gap entirely\n",
        "    ozone = ee.Algorithms.If(TOMS_gap.contains(O3_date),ozone_fill(centroid,O3_date),ozone_measurement(centroid,O3_date))\n",
        "\n",
        "    # fix other data gaps (e.g. spatial, missing images, etc..)\n",
        "    ozone = ee.Algorithms.If(ozone,ozone,ozone_fill(centroid,O3_date))\n",
        "\n",
        "    #convert to Py6S units\n",
        "    ozone_Py6S_units = ee.Number(ozone).divide(1000)# (i.e. Dobson units are milli-atm-cm )\n",
        "\n",
        "    return ozone_Py6S_units\n",
        "\n",
        "\n",
        "  def aerosol(geom,date):\n",
        "    \"\"\"\n",
        "    Aerosol Optical Thickness.\n",
        "\n",
        "    try:\n",
        "      MODIS Aerosol Product (monthly)\n",
        "    except:\n",
        "      fill value\n",
        "    \"\"\"\n",
        "\n",
        "    def aerosol_fill(date):\n",
        "      \"\"\"\n",
        "      MODIS AOT fill value for this month (i.e. no data gaps)\n",
        "      \"\"\"\n",
        "      return ee.Image('users/samsammurphy/public/AOT_stack')\\\n",
        "               .select([ee.String('AOT_').cat(date.format('M'))])\\\n",
        "               .rename(['AOT_550'])\n",
        "\n",
        "\n",
        "    def aerosol_this_month(date):\n",
        "      \"\"\"\n",
        "      MODIS AOT original data product for this month (i.e. some data gaps)\n",
        "      \"\"\"\n",
        "      # image for this month\n",
        "      img =  ee.Image(\\\n",
        "                      ee.ImageCollection('MODIS/006/MOD08_M3')\\\n",
        "                        .filterDate(Atmospheric.round_month(date))\\\n",
        "                        .first()\\\n",
        "                     )\n",
        "\n",
        "      # fill missing month (?)\n",
        "      img = ee.Algorithms.If(img,\\\n",
        "                               # all good\n",
        "                               img\\\n",
        "                               .select(['Aerosol_Optical_Depth_Land_Mean_Mean_550'])\\\n",
        "                               .divide(1000)\\\n",
        "                               .rename(['AOT_550']),\\\n",
        "                              # missing month\n",
        "                                aerosol_fill(date))\n",
        "\n",
        "      return img\n",
        "\n",
        "\n",
        "    def get_AOT(AOT_band,geom):\n",
        "      \"\"\"\n",
        "      AOT scalar value for target\n",
        "      \"\"\"\n",
        "      return ee.Image(AOT_band).reduceRegion(reducer=ee.Reducer.mean(),\\\n",
        "                                 geometry=geom.centroid())\\\n",
        "                                .get('AOT_550')\n",
        "\n",
        "\n",
        "    after_modis_start = date.difference(ee.Date('2000-03-01'),'month').gt(0)\n",
        "\n",
        "    AOT_band = ee.Algorithms.If(after_modis_start, aerosol_this_month(date), aerosol_fill(date))\n",
        "\n",
        "    AOT = get_AOT(AOT_band,geom)\n",
        "\n",
        "    AOT = ee.Algorithms.If(AOT,AOT,get_AOT(aerosol_fill(date),geom))\n",
        "    # i.e. check reduce region worked (else force fill value)\n",
        "\n",
        "    return AOT"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "bRL-bssVd9s7"
      },
      "outputs": [],
      "source": [
        "import geemap\n",
        "import ee\n",
        "from Py6S import *\n",
        "from datetime import datetime\n",
        "import math\n",
        "import os\n",
        "import sys"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        },
        "id": "UaAmSq26d_ZL",
        "outputId": "fced93fd-8fc1-4a4f-cc66-0c5492614d23"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "            </style>\n",
              "            "
            ]
          },
          "metadata": {}
        }
      ],
      "source": [
        "\n",
        "ee.Authenticate()\n",
        "ee.Initialize(project='ee-lfmc')"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "collection = ee.ImageCollection('MODIS/006/MOD13A2') \\\n",
        "    .filterDate('2015-01-01', '2019-12-31') \\\n",
        "    .select('NDVI')"
      ],
      "metadata": {
        "id": "19txNyHGJLqt"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import ee\n",
        "ee.Authenticate(force=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        },
        "id": "2ICtiyuaxwrX",
        "outputId": "3f6c7d26-2167-4d8b-efa7-037801f88abc"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "            </style>\n",
              "            "
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!earthengine set_project ee-lfmc"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "id": "dlaBGYCTB_yC",
        "outputId": "bcb10193-bd86-4ba5-889b-51e7db2970a6"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "            </style>\n",
              "            "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Successfully saved project id\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "asset_list = ee.data.listAssets(\"ee-lfmc\")[\"assets\"]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 426
        },
        "id": "CO47LdC8wHHp",
        "outputId": "5d86faa6-51a7-44a4-eace-08b40ee95316"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "            </style>\n",
              "            "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "error",
          "ename": "EEException",
          "evalue": "Asset \"projects/earthengine-public/assets/ee-lfmc\" not found.",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mHttpError\u001b[0m                                 Traceback (most recent call last)",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/ee/data.py\u001b[0m in \u001b[0;36m_execute_cloud_call\u001b[0;34m(call, num_retries)\u001b[0m\n\u001b[1;32m    401\u001b[0m   \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 402\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0mcall\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexecute\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnum_retries\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mnum_retries\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    403\u001b[0m   \u001b[0;32mexcept\u001b[0m \u001b[0mgoogleapiclient\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0merrors\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mHttpError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/googleapiclient/_helpers.py\u001b[0m in \u001b[0;36mpositional_wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    129\u001b[0m                     \u001b[0mlogger\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwarning\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmessage\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 130\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mwrapped\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    131\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/googleapiclient/http.py\u001b[0m in \u001b[0;36mexecute\u001b[0;34m(self, http, num_retries)\u001b[0m\n\u001b[1;32m    937\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mresp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstatus\u001b[0m \u001b[0;34m>=\u001b[0m \u001b[0;36m300\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 938\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0mHttpError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresp\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcontent\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0muri\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0muri\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    939\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpostproc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresp\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcontent\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mHttpError\u001b[0m: <HttpError 404 when requesting https://earthengine.googleapis.com/v1/projects/earthengine-public/assets/ee-lfmc:listAssets?alt=json returned \"Asset \"projects/earthengine-public/assets/ee-lfmc\" not found.\". Details: \"Asset \"projects/earthengine-public/assets/ee-lfmc\" not found.\">",
            "\nDuring handling of the above exception, another exception occurred:\n",
            "\u001b[0;31mEEException\u001b[0m                               Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-78-a6e3441ba158>\u001b[0m in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0masset_list\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mee\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlistAssets\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"ee-lfmc\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"assets\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/ee/data.py\u001b[0m in \u001b[0;36mlistAssets\u001b[0;34m(params)\u001b[0m\n\u001b[1;32m    634\u001b[0m   \u001b[0massets\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m'assets'\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    635\u001b[0m   \u001b[0;32mwhile\u001b[0m \u001b[0mrequest\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 636\u001b[0;31m     \u001b[0mresponse\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_execute_cloud_call\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrequest\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    637\u001b[0m     \u001b[0massets\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'assets'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mextend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresponse\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'assets'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    638\u001b[0m     \u001b[0mrequest\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcloud_resource_root\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlistAssets_next\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrequest\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mresponse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/ee/data.py\u001b[0m in \u001b[0;36m_execute_cloud_call\u001b[0;34m(call, num_retries)\u001b[0m\n\u001b[1;32m    402\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mcall\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexecute\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnum_retries\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mnum_retries\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    403\u001b[0m   \u001b[0;32mexcept\u001b[0m \u001b[0mgoogleapiclient\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0merrors\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mHttpError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 404\u001b[0;31m     \u001b[0;32mraise\u001b[0m \u001b[0m_translate_cloud_exception\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0me\u001b[0m\u001b[0;34m)\u001b[0m  \u001b[0;31m# pylint: disable=raise-missing-from\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    405\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    406\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mEEException\u001b[0m: Asset \"projects/earthengine-public/assets/ee-lfmc\" not found."
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 746
        },
        "id": "0Mydl799Fvb-",
        "outputId": "79d5d2b6-5173-499d-d69e-40b93cf0f04d"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "            </style>\n",
              "            "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "W0412 05:25:14.525022 134852045053952 _default.py:683] No project ID could be determined. Consider running `gcloud config set project` or setting the GOOGLE_CLOUD_PROJECT environment variable\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/ee/data.py\", line 1456, in getAlgorithms\n",
            "    _get_cloud_projects()\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/googleapiclient/discovery.py\", line 1073, in method\n",
            "    raise TypeError(\n",
            "TypeError: Parameter \"parent\" value \"projects/users/pantl9507/\" does not match the pattern \"^projects/[^/]+$\"\n",
            "\n",
            "During handling of the above exception, another exception occurred:\n",
            "\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/bin/earthengine\", line 8, in <module>\n",
            "    sys.exit(main())\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/ee/cli/eecli.py\", line 85, in main\n",
            "    tf_module.app.run(_run_command, argv=sys.argv[:1])\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/python/platform/app.py\", line 36, in run\n",
            "    _run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/absl/app.py\", line 308, in run\n",
            "    _run_main(main, args)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/absl/app.py\", line 254, in _run_main\n",
            "    sys.exit(main(argv))\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/ee/cli/eecli.py\", line 61, in _run_command\n",
            "    dispatcher.run(args, config)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/ee/cli/commands.py\", line 360, in run\n",
            "    self.command_dict[vars(args)[self.dest]].run(args, config)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/ee/cli/commands.py\", line 360, in run\n",
            "    self.command_dict[vars(args)[self.dest]].run(args, config)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/ee/cli/commands.py\", line 676, in run\n",
            "    config.ee_init()\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/ee/cli/utils.py\", line 131, in ee_init\n",
            "    ee.Initialize(\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/ee/_utils.py\", line 38, in wrapper\n",
            "    return func(*args, **kwargs)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/ee/__init__.py\", line 172, in Initialize\n",
            "    ApiFunction.initialize()\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/ee/apifunction.py\", line 161, in initialize\n",
            "    signatures = data.getAlgorithms()\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/ee/data.py\", line 1462, in getAlgorithms\n",
            "    _get_cloud_projects()\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/googleapiclient/discovery.py\", line 1048, in method\n",
            "    raise TypeError(\"Got an unexpected keyword argument {}\".format(name))\n",
            "TypeError: Got an unexpected keyword argument project\n"
          ]
        }
      ],
      "source": [
        "assetID='projects/ee-lfmc/assets/S2_Py6S_mask_m3'\n",
        "!earthengine asset info {assetID}"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 54
        },
        "id": "_qEMMNEmF2Df",
        "outputId": "aca2347d-e57f-4930-8789-76e144677a48"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "            </style>\n",
              "            "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "['W0411 15:20:12.134029 139454840139776 _default.py:683] No project ID could be determined. Consider running `gcloud config set project` or setting the GOOGLE_CLOUD_PROJECT environment variable', 'W0411 15:20:13.026942 139454840139776 http.py:140] Encountered 403 Forbidden with reason \"PERMISSION_DENIED\"', 'ee.Initialize: no project found. Call with project= or see http://goo.gle/ee-auth.']\n"
          ]
        }
      ],
      "source": [
        "assetList=!earthengine ls {assetID}\n",
        "print(assetList)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dYQD2ayBF5Fe",
        "outputId": "6dab5b9d-1332-4f76-ee12-1cd918007aeb"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/bin/earthengine\", line 5, in <module>\n",
            "    from ee.cli.eecli import main\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/ee/cli/eecli.py\", line 17, in <module>\n",
            "    from ee.cli import commands\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/ee/cli/commands.py\", line 35, in <module>\n",
            "    import tensorflow.compat.v1 as tf\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/__init__.py\", line 38, in <module>\n",
            "    from tensorflow.python.tools import module_util as _module_util\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/python/__init__.py\", line 45, in <module>\n",
            "    from tensorflow.python.feature_column import feature_column_lib as feature_column\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/python/feature_column/feature_column_lib.py\", line 18, in <module>\n",
            "    from tensorflow.python.feature_column.feature_column import *\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/python/feature_column/feature_column.py\", line 143, in <module>\n",
            "    from tensorflow.python.layers import base\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/python/layers/base.py\", line 16, in <module>\n",
            "    from tensorflow.python.keras.legacy_tf_layers import base\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/python/keras/__init__.py\", line 25, in <module>\n",
            "    from tensorflow.python.keras import models\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/python/keras/models.py\", line 25, in <module>\n",
            "    from tensorflow.python.keras.engine import training_v1\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/python/keras/engine/training_v1.py\", line 46, in <module>\n",
            "    from tensorflow.python.keras.engine import training_arrays_v1\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/python/keras/engine/training_arrays_v1.py\", line 37, in <module>\n",
            "    from scipy.sparse import issparse  # pylint: disable=g-import-not-at-top\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/scipy/sparse/__init__.py\", line 279, in <module>\n",
            "    from ._dia import *\n",
            "  File \"<frozen importlib._bootstrap>\", line 1027, in _find_and_load\n",
            "  File \"<frozen importlib._bootstrap>\", line 1006, in _find_and_load_unlocked\n",
            "  File \"<frozen importlib._bootstrap>\", line 688, in _load_unlocked\n",
            "  File \"<frozen importlib._bootstrap_external>\", line 879, in exec_module\n",
            "  File \"<frozen importlib._bootstrap_external>\", line 1012, in get_code\n",
            "  File \"<frozen importlib._bootstrap_external>\", line 672, in _compile_bytecode\n",
            "KeyboardInterrupt\n",
            "^C\n",
            "Traceback (most recent call last):\n",
            "  File \"<frozen importlib._bootstrap>\", line 1078, in _handle_fromlist\n",
            "  File \"<frozen importlib._bootstrap>\", line 241, in _call_with_frames_removed\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/jax/_src/interpreters/mlir.py\", line 48, in <module>\n",
            "    from jax._src.lib.mlir import dialects\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/jax/_src/lib/mlir/dialects/__init__.py\", line 18, in <module>\n",
            "    import jaxlib.mlir.dialects.mhlo as mhlo\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/jaxlib/mlir/dialects/mhlo.py\", line 19, in <module>\n",
            "    from ._mhlo_ops_gen import *\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/jaxlib/mlir/dialects/_mhlo_ops_gen.py\", line 1728, in <module>\n",
            "    class CosineOp(_ods_ir.OpView):\n",
            "KeyboardInterrupt\n",
            "\n",
            "During handling of the above exception, another exception occurred:\n",
            "\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/bin/earthengine\", line 5, in <module>\n",
            "    from ee.cli.eecli import main\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/ee/cli/eecli.py\", line 17, in <module>\n",
            "    from ee.cli import commands\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/ee/cli/commands.py\", line 35, in <module>\n",
            "    import tensorflow.compat.v1 as tf\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/__init__.py\", line 52, in <module>\n",
            "    from ._api.v2 import compat\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/_api/v2/compat/__init__.py\", line 37, in <module>\n",
            "    from . import v1\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/_api/v2/compat/v1/__init__.py\", line 31, in <module>\n",
            "    from . import compat\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/_api/v2/compat/v1/compat/__init__.py\", line 37, in <module>\n",
            "    from . import v1\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/_api/v2/compat/v1/compat/v1/__init__.py\", line 48, in <module>\n",
            "    from tensorflow._api.v2.compat.v1 import lite\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/_api/v2/compat/v1/lite/__init__.py\", line 9, in <module>\n",
            "    from . import experimental\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/_api/v2/compat/v1/lite/experimental/__init__.py\", line 8, in <module>\n",
            "    from . import authoring\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/_api/v2/compat/v1/lite/experimental/authoring/__init__.py\", line 8, in <module>\n",
            "    from tensorflow.lite.python.authoring.authoring import compatible\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/lite/python/authoring/authoring.py\", line 43, in <module>\n",
            "    from tensorflow.lite.python import convert\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/lite/python/convert.py\", line 29, in <module>\n",
            "    from tensorflow.lite.python import util\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/lite/python/util.py\", line 52, in <module>\n",
            "    from jax import xla_computation as _xla_computation\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/jax/__init__.py\", line 78, in <module>\n",
            "    from jax._src.api import effects_barrier as effects_barrier\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/jax/_src/api.py\", line 40, in <module>\n",
            "    from jax._src import stages\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/jax/_src/stages.py\", line 44, in <module>\n",
            "    from jax._src.interpreters import mlir\n",
            "  File \"<frozen importlib._bootstrap>\", line 1078, in _handle_fromlist\n",
            "KeyboardInterrupt\n",
            "^C\n",
            "Traceback (most recent call last):\n",
            "  File \"<frozen importlib._bootstrap>\", line 688, in _load_unlocked\n",
            "  File \"<frozen importlib._bootstrap_external>\", line 883, in exec_module\n",
            "  File \"<frozen importlib._bootstrap>\", line 241, in _call_with_frames_removed\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/python/keras/engine/base_layer.py\", line 56, in <module>\n",
            "    from tensorflow.python.keras.saving.saved_model import layer_serialization\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/python/keras/saving/saved_model/layer_serialization.py\", line 20, in <module>\n",
            "    from tensorflow.python.keras.saving.saved_model import save_impl\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/python/keras/saving/saved_model/save_impl.py\", line 34, in <module>\n",
            "    from tensorflow.python.keras.saving.saved_model import load as keras_load\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/python/keras/saving/saved_model/load.py\", line 45, in <module>\n",
            "    from tensorflow.python.saved_model import load as tf_load\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/python/saved_model/load.py\", line 51, in <module>\n",
            "    from tensorflow.python.saved_model import load_v1_in_v2\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/python/saved_model/load_v1_in_v2.py\", line 29, in <module>\n",
            "    from tensorflow.python.saved_model import loader_impl\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/python/saved_model/loader_impl.py\", line 33, in <module>\n",
            "    from tensorflow.python.saved_model import signature_def_utils\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/python/saved_model/signature_def_utils.py\", line 20, in <module>\n",
            "    from tensorflow.python.saved_model.signature_def_utils_impl import build_signature_def\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/python/saved_model/signature_def_utils_impl.py\", line 23, in <module>\n",
            "    from tensorflow.python.saved_model import utils_impl as utils\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/python/saved_model/utils_impl.py\", line 44, in <module>\n",
            "    def build_tensor_info(tensor):\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/python/util/deprecation.py\", line 374, in deprecated_wrapper\n",
            "    new_func = tf_decorator.make_decorator(\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/python/util/tf_decorator.py\", line 136, in make_decorator\n",
            "    decorator = TFDecorator(decorator_name, target, decorator_doc,\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/python/util/tf_decorator.py\", line 332, in __init__\n",
            "    self.__signature__ = inspect.signature(target)\n",
            "  File \"/usr/lib/python3.10/inspect.py\", line 3254, in signature\n",
            "    return Signature.from_callable(obj, follow_wrapped=follow_wrapped,\n",
            "  File \"/usr/lib/python3.10/inspect.py\", line 3002, in from_callable\n",
            "    return _signature_from_callable(obj, sigcls=cls,\n",
            "  File \"/usr/lib/python3.10/inspect.py\", line 2463, in _signature_from_callable\n",
            "    return _signature_from_function(sigcls, obj,\n",
            "  File \"/usr/lib/python3.10/inspect.py\", line 2307, in _signature_from_function\n",
            "    annotations = get_annotations(func, globals=globals, locals=locals, eval_str=eval_str)\n",
            "  File \"/usr/lib/python3.10/inspect.py\", line 66, in get_annotations\n",
            "    def get_annotations(obj, *, globals=None, locals=None, eval_str=False):\n",
            "KeyboardInterrupt\n",
            "\n",
            "During handling of the above exception, another exception occurred:\n",
            "\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/bin/earthengine\", line 5, in <module>\n",
            "    from ee.cli.eecli import main\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/ee/cli/eecli.py\", line 17, in <module>\n",
            "    from ee.cli import commands\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/ee/cli/commands.py\", line 35, in <module>\n",
            "    import tensorflow.compat.v1 as tf\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/__init__.py\", line 38, in <module>\n",
            "    from tensorflow.python.tools import module_util as _module_util\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/python/__init__.py\", line 45, in <module>\n",
            "    from tensorflow.python.feature_column import feature_column_lib as feature_column\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/python/feature_column/feature_column_lib.py\", line 18, in <module>\n",
            "    from tensorflow.python.feature_column.feature_column import *\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/python/feature_column/feature_column.py\", line 143, in <module>\n",
            "    from tensorflow.python.layers import base\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/python/layers/base.py\", line 16, in <module>\n",
            "    from tensorflow.python.keras.legacy_tf_layers import base\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/python/keras/__init__.py\", line 25, in <module>\n",
            "    from tensorflow.python.keras import models\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/python/keras/models.py\", line 20, in <module>\n",
            "    from tensorflow.python.keras import metrics as metrics_module\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/python/keras/metrics.py\", line 35, in <module>\n",
            "    from tensorflow.python.keras import activations\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/python/keras/activations.py\", line 18, in <module>\n",
            "    from tensorflow.python.keras.layers import advanced_activations\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/python/keras/layers/__init__.py\", line 22, in <module>\n",
            "    from tensorflow.python.keras.engine.input_layer import Input\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/python/keras/engine/input_layer.py\", line 24, in <module>\n",
            "    from tensorflow.python.keras.engine import base_layer\n",
            "  File \"<frozen importlib._bootstrap>\", line 1027, in _find_and_load\n",
            "  File \"<frozen importlib._bootstrap>\", line 1006, in _find_and_load_unlocked\n",
            "  File \"<frozen importlib._bootstrap>\", line 688, in _load_unlocked\n",
            "KeyboardInterrupt\n",
            "^C\n",
            "Traceback (most recent call last):\n",
            "  File \"<frozen importlib._bootstrap>\", line 1078, in _handle_fromlist\n",
            "  File \"<frozen importlib._bootstrap>\", line 241, in _call_with_frames_removed\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/python/data/util/structure.py\", line 25, in <module>\n",
            "    from tensorflow.python.framework import sparse_tensor\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/python/framework/sparse_tensor.py\", line 29, in <module>\n",
            "    from tensorflow.python.framework import tensor_spec\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/python/framework/tensor_spec.py\", line 17, in <module>\n",
            "    from tensorflow.python.framework import tensor\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/python/framework/tensor.py\", line 531, in <module>\n",
            "    class BoundedTensorSpec(TensorSpec, trace_type.Serializable):\n",
            "  File \"/usr/lib/python3.10/abc.py\", line 107, in __new__\n",
            "    _abc_init(cls)\n",
            "KeyboardInterrupt\n",
            "\n",
            "During handling of the above exception, another exception occurred:\n",
            "\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/bin/earthengine\", line 5, in <module>\n",
            "    from ee.cli.eecli import main\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/ee/cli/eecli.py\", line 17, in <module>\n",
            "    from ee.cli import commands\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/ee/cli/commands.py\", line 35, in <module>\n",
            "    import tensorflow.compat.v1 as tf\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/__init__.py\", line 38, in <module>\n",
            "    from tensorflow.python.tools import module_util as _module_util\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/python/__init__.py\", line 42, in <module>\n",
            "    from tensorflow.python import data\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/python/data/__init__.py\", line 21, in <module>\n",
            "    from tensorflow.python.data import experimental\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/python/data/experimental/__init__.py\", line 97, in <module>\n",
            "    from tensorflow.python.data.experimental import service\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/python/data/experimental/service/__init__.py\", line 419, in <module>\n",
            "    from tensorflow.python.data.experimental.ops.data_service_ops import distribute\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/python/data/experimental/ops/data_service_ops.py\", line 22, in <module>\n",
            "    from tensorflow.python.data.experimental.ops import compression_ops\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/tensorflow/python/data/experimental/ops/compression_ops.py\", line 16, in <module>\n",
            "    from tensorflow.python.data.util import structure\n",
            "  File \"<frozen importlib._bootstrap>\", line 1078, in _handle_fromlist\n",
            "KeyboardInterrupt\n",
            "^C\n",
            "Traceback (most recent call last):\n",
            "  File \"<frozen importlib._bootstrap>\", line 1027, in _find_and_load\n",
            "  File \"<frozen importlib._bootstrap>\", line 1006, in _find_and_load_unlocked\n",
            "  File \"<frozen importlib._bootstrap>\", line 688, in _load_unlocked\n",
            "  File \"<frozen importlib._bootstrap_external>\", line 883, in exec_module\n",
            "  File \"<frozen importlib._bootstrap>\", line 241, in _call_with_frames_removed\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/ee/_cloud_api_utils.py\", line 19, in <module>\n",
            "    from googleapiclient import discovery\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/googleapiclient/discovery.py\", line 49, in <module>\n",
            "    import uritemplate\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/uritemplate/__init__.py\", line 28, in <module>\n",
            "    from uritemplate.api import (\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/uritemplate/api.py\", line 11, in <module>\n",
            "    from uritemplate import variable\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/uritemplate/variable.py\", line 31, in <module>\n",
            "    class URIVariable:\n",
            "KeyboardInterrupt\n",
            "\n",
            "During handling of the above exception, another exception occurred:\n",
            "\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/bin/earthengine\", line 5, in <module>\n",
            "    from ee.cli.eecli import main\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/ee/__init__.py\", line 16, in <module>\n",
            "    from ee import batch\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/ee/batch.py\", line 16, in <module>\n",
            "    from ee import _cloud_api_utils\n",
            "  File \"<frozen importlib._bootstrap>\", line 1024, in _find_and_load\n",
            "  File \"<frozen importlib._bootstrap>\", line 174, in __exit__\n",
            "  File \"<frozen importlib._bootstrap>\", line 126, in release\n",
            "KeyboardInterrupt\n",
            "^C\n"
          ]
        }
      ],
      "source": [
        "for i in range(len(assetList)):\n",
        "    deleteFile = assetList[i]\n",
        "    !earthengine rm {deleteFile}"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        },
        "id": "Ag4Mvm6jeCY7",
        "outputId": "b150c783-908f-4ab0-90d7-dd6138ded604"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "            </style>\n",
              "            "
            ]
          },
          "metadata": {}
        }
      ],
      "source": [
        "# Define Py6S function\n",
        "# Modified from https://github.com/ndminhhus/geeguide/blob/master/02.Atm-correction.md\n",
        "\n",
        "def func1(img):\n",
        "  S2 = ee.Image(img)\n",
        "  date = S2.date()\n",
        "  # top of atmosphere reflectance\n",
        "  toa = S2.divide(10000)\n",
        "\n",
        "  info = S2.getInfo()['properties']\n",
        "  scene_date = datetime.utcfromtimestamp(info['system:time_start']/1000)# i.e. Python uses seconds, EE uses milliseconds\n",
        "  solar_z = info['MEAN_SOLAR_ZENITH_ANGLE']\n",
        "\n",
        "  h2o = Atmospheric.water(geom,date).getInfo()\n",
        "  o3 = Atmospheric.ozone(geom,date).getInfo()\n",
        "  aot = Atmospheric.aerosol(geom,date).getInfo()\n",
        "\n",
        "  SRTM = ee.Image('CGIAR/SRTM90_V4')# Shuttle Radar Topography mission covers *most* of the Earth\n",
        "  alt = SRTM.reduceRegion(reducer = ee.Reducer.mean(),geometry = geom.centroid()).get('elevation').getInfo()\n",
        "  km = alt/1000 # i.e. Py6S uses units of kilometers\n",
        "\n",
        "  # Instantiate\n",
        "  s = SixS()\n",
        "\n",
        "  # Atmospheric constituents\n",
        "  s.atmos_profile = AtmosProfile.UserWaterAndOzone(h2o,o3)\n",
        "  s.aero_profile = AeroProfile.Maritime # https://github.com/robintw/Py6S/blob/master/Py6S/Params/aeroprofile.py\n",
        "  s.aot550 = aot\n",
        "\n",
        "  # Earth-Sun-satellite geometry\n",
        "  s.geometry = Geometry.User()\n",
        "  s.geometry.view_z = 0               # always NADIR\n",
        "  s.geometry.solar_z = solar_z        # solar zenith angle\n",
        "  s.geometry.month = scene_date.month # month and day used for Earth-Sun distance\n",
        "  s.geometry.day = scene_date.day     # month and day used for Earth-Sun distance\n",
        "  s.altitudes.set_sensor_satellite_level()\n",
        "  s.altitudes.set_target_custom_altitude(km)\n",
        "\n",
        "  def spectralResponseFunction(bandname):\n",
        "    \"\"\"\n",
        "    Extract spectral response function for given band name\n",
        "    \"\"\"\n",
        "    bandSelect = {\n",
        "        'B1':PredefinedWavelengths.S2A_MSI_01,\n",
        "        'B2':PredefinedWavelengths.S2A_MSI_02,\n",
        "        'B3':PredefinedWavelengths.S2A_MSI_03,\n",
        "        'B4':PredefinedWavelengths.S2A_MSI_04,\n",
        "        'B5':PredefinedWavelengths.S2A_MSI_05,\n",
        "        'B6':PredefinedWavelengths.S2A_MSI_06,\n",
        "        'B7':PredefinedWavelengths.S2A_MSI_07,\n",
        "        'B8':PredefinedWavelengths.S2A_MSI_08,\n",
        "        'B8A':PredefinedWavelengths.S2A_MSI_8A,\n",
        "        'B9':PredefinedWavelengths.S2A_MSI_09,\n",
        "        'B10':PredefinedWavelengths.S2A_MSI_10,\n",
        "        'B11':PredefinedWavelengths.S2A_MSI_11,\n",
        "        'B12':PredefinedWavelengths.S2A_MSI_12,\n",
        "        }\n",
        "    return Wavelength(bandSelect[bandname])\n",
        "\n",
        "  def toa_to_rad(bandname):\n",
        "    \"\"\"\n",
        "    Converts top of atmosphere reflectance to at-sensor radiance\n",
        "    \"\"\"\n",
        "    # solar exoatmospheric spectral irradiance\n",
        "    ESUN = info['SOLAR_IRRADIANCE_'+bandname]\n",
        "    solar_angle_correction = math.cos(math.radians(solar_z))\n",
        "    # Earth-Sun distance (from day of year)\n",
        "    doy = scene_date.timetuple().tm_yday\n",
        "    d = 1 - 0.01672 * math.cos(0.9856 * (doy-4))# http://physics.stackexchange.com/questions/177949/earth-sun-distance-on-a-given-day-of-the-year\n",
        "    # conversion factor\n",
        "    multiplier = ESUN*solar_angle_correction/(math.pi*d**2)\n",
        "    # at-sensor radiance\n",
        "    rad = toa.select(bandname).multiply(multiplier)\n",
        "    return rad\n",
        "\n",
        "  def surface_reflectance(bandname):\n",
        "    \"\"\"\n",
        "    Calculate surface reflectance from at-sensor radiance given waveband name\n",
        "    \"\"\"\n",
        "    # run 6S for this waveband\n",
        "    s.wavelength = spectralResponseFunction(bandname)\n",
        "    s.run()\n",
        "    # extract 6S outputs\n",
        "    Edir = s.outputs.direct_solar_irradiance             #direct solar irradiance\n",
        "    Edif = s.outputs.diffuse_solar_irradiance            #diffuse solar irradiance\n",
        "    Lp   = s.outputs.atmospheric_intrinsic_radiance      #path radiance\n",
        "    absorb  = s.outputs.trans['global_gas'].upward       #absorption transmissivity\n",
        "    scatter = s.outputs.trans['total_scattering'].upward #scattering transmissivity\n",
        "    tau2 = absorb*scatter                                #total transmissivity\n",
        "    # radiance to surface reflectance\n",
        "    rad = toa_to_rad(bandname)\n",
        "    ref = rad.subtract(Lp).multiply(math.pi).divide(tau2*(Edir+Edif))\n",
        "    return ref\n",
        "\n",
        "  # all wavebands\n",
        "  output = S2.select('QA60')\n",
        "  for band in ['B1','B2','B3','B4','B5','B6','B7','B8','B8A','B9','B10','B11','B12']:\n",
        "    print(band)\n",
        "    output = output.addBands(surface_reflectance(band))\n",
        "\n",
        "  return output"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        },
        "id": "oCbfafwJeIFU",
        "outputId": "44464d76-baca-4476-de12-24d2a712d670"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "            </style>\n",
              "            "
            ]
          },
          "metadata": {}
        }
      ],
      "source": [
        "hk_boundary = ee.FeatureCollection(\"projects/ee-lfmc/assets/HK_boundary\").geometry()\n",
        "AOI_point = hk_boundary\n",
        "AOI_point_right = ee.Geometry.Point(114.05, 22.40)  # Define AOI location\n",
        "AOI_point_left = ee.Geometry.Point(113.80, 22.40)  # Mosaic with another tile is needed to cover the study area\n",
        "# First\n",
        "# START_DATE = '2017-01-01'   # Define start date\n",
        "# END_DATE = '2017-03-31'   # Define end date\n",
        "# Second\n",
        "# START_DATE = '2017-04-01'   # Define start date\n",
        "# END_DATE = '2017-09-30'   # Define end date\n",
        "# # Third\n",
        "# START_DATE = '2017-07-01'   # Define start date\n",
        "# END_DATE = '2017-09-30'   # Define end date\n",
        "# # Fourth\n",
        "START_DATE = '2018-01-01'   # Define start date\n",
        "END_DATE = '2018-12-31'   # Define end date\n",
        "CLD_PRB_THRESH = 60   #\tCloud probability (%); values greater than are considered cloud\n",
        "NIR_DRK_THRESH = 0.15   # Near-infrared reflectance; values less than are considered potential cloud shadow\n",
        "CLD_PRJ_DIST = 1   # Maximum distance (km) to search for cloud shadows from cloud edges\n",
        "BUFFER = 100   # Distance (m) to dilate the edge of cloud-identified objects\n",
        "\n",
        "def get_s2_sr_cld_col(aoi, start_date, end_date):\n",
        "    # Import and filter S2 SR.\n",
        "    s2_sr_col = (ee.ImageCollection('COPERNICUS/S2_HARMONIZED')\n",
        "        .filterBounds(aoi)\n",
        "        .filterDate(start_date, end_date)\n",
        "        .filter(ee.Filter.lte('CLOUDY_PIXEL_PERCENTAGE', 5)))\n",
        "\n",
        "    # Import and filter s2cloudless.\n",
        "    s2_cloudless_col = (ee.ImageCollection('COPERNICUS/S2_CLOUD_PROBABILITY')\n",
        "        .filterBounds(aoi)\n",
        "        .filterDate(start_date, end_date))\n",
        "\n",
        "    # Join the filtered s2cloudless collection to the SR collection by the 'system:index' property.\n",
        "    return ee.ImageCollection(ee.Join.saveFirst('s2cloudless').apply(**{\n",
        "        'primary': s2_sr_col,\n",
        "        'secondary': s2_cloudless_col,\n",
        "        'condition': ee.Filter.equals(**{\n",
        "            'leftField': 'system:index',\n",
        "            'rightField': 'system:index'\n",
        "        })\n",
        "    }))\n",
        "\n",
        "def get_s2_sr_cld_col_left(aoi, start_date, end_date):\n",
        "    # Import and filter S2 SR.\n",
        "    s2_sr_col = (ee.ImageCollection('COPERNICUS/S2_HARMONIZED')\n",
        "        .filterBounds(aoi)\n",
        "        .filterDate(start_date, end_date)\n",
        "        .filter(ee.Filter.lte('CLOUDY_PIXEL_PERCENTAGE', 5)))\n",
        "\n",
        "    # Import and filter s2cloudless.\n",
        "    s2_cloudless_col = (ee.ImageCollection('COPERNICUS/S2_CLOUD_PROBABILITY')\n",
        "        .filterBounds(aoi)\n",
        "        .filterDate(start_date, end_date))\n",
        "\n",
        "    # Join the filtered s2cloudless collection to the SR collection by the 'system:index' property.\n",
        "    return ee.ImageCollection(ee.Join.saveFirst('s2cloudless').apply(**{\n",
        "        'primary': s2_sr_col,\n",
        "        'secondary': s2_cloudless_col,\n",
        "        'condition': ee.Filter.equals(**{\n",
        "            'leftField': 'system:index',\n",
        "            'rightField': 'system:index'\n",
        "        })\n",
        "    }))\n",
        "\n",
        "s2_right = get_s2_sr_cld_col(AOI_point_right, START_DATE, END_DATE)\n",
        "s2_left = get_s2_sr_cld_col_left(AOI_point_left, START_DATE, END_DATE)\n",
        "s2_all = get_s2_sr_cld_col(AOI_point, START_DATE, END_DATE)\n",
        "\n",
        "def add_cloud_bands(img):\n",
        "    # Get s2cloudless image, subset the probability band.\n",
        "    cld_prb = ee.Image(img.get('s2cloudless')).select('probability')\n",
        "\n",
        "    # Condition s2cloudless by the probability threshold value.\n",
        "    is_cloud = cld_prb.gt(CLD_PRB_THRESH).rename('clouds')\n",
        "\n",
        "    # Add the cloud probability layer and cloud mask as image bands.\n",
        "    return img.addBands(ee.Image([cld_prb, is_cloud]))\n",
        "\n",
        "def add_shadow_bands(img):\n",
        "\n",
        "    # Identify dark NIR pixels that are not water (potential cloud shadow pixels).\n",
        "    SR_BAND_SCALE = 1e4\n",
        "    dark_pixels = img.select('B8').lt(NIR_DRK_THRESH*SR_BAND_SCALE).rename('dark_pixels')\n",
        "\n",
        "    # Determine the direction to project cloud shadow from clouds (assumes UTM projection).\n",
        "    shadow_azimuth = ee.Number(90).subtract(ee.Number(img.get('MEAN_SOLAR_AZIMUTH_ANGLE')));\n",
        "\n",
        "    # Project shadows from clouds for the distance specified by the CLD_PRJ_DIST input.\n",
        "    cld_proj = (img.select('clouds').directionalDistanceTransform(shadow_azimuth, CLD_PRJ_DIST*10)\n",
        "        .reproject(**{'crs': img.select(0).projection(), 'scale': 100})\n",
        "        .select('distance')\n",
        "        .mask()\n",
        "        .rename('cloud_transform'))\n",
        "\n",
        "    # Identify the intersection of dark pixels with cloud shadow projection.\n",
        "    shadows = cld_proj.multiply(dark_pixels).rename('shadows')\n",
        "\n",
        "    # Add dark pixels, cloud projection, and identified shadows as image bands.\n",
        "    return img.addBands(ee.Image([dark_pixels, cld_proj, shadows]))\n",
        "\n",
        "def add_cld_shdw_mask(img):\n",
        "    # Add cloud component bands.\n",
        "    img_cloud = add_cloud_bands(img)\n",
        "\n",
        "    # Add cloud shadow component bands.\n",
        "    img_cloud_shadow = add_shadow_bands(img_cloud)\n",
        "\n",
        "    # Combine cloud and shadow mask, set cloud and shadow as value 1, else 0.\n",
        "    is_cld_shdw = img_cloud_shadow.select('clouds').add(img_cloud_shadow.select('shadows')).gt(0)\n",
        "\n",
        "    # Remove small cloud-shadow patches and dilate remaining pixels by BUFFER input.\n",
        "    # 20 m scale is for speed, and assumes clouds don't require 10 m precision.\n",
        "    is_cld_shdw = (is_cld_shdw.focal_min(2).focal_max(BUFFER*2/20)\n",
        "        .reproject(**{'crs': img.select([0]).projection(), 'scale': 20})\n",
        "        .rename('cloudmask'))\n",
        "\n",
        "    # Add the final cloud-shadow mask to the image.\n",
        "    return img.addBands(is_cld_shdw)\n",
        "\n",
        "def apply_cld_shdw_mask(img):\n",
        "    # Subset the cloudmask band and invert it so clouds/shadow are 0, else 1.\n",
        "    not_cld_shdw = img.select('cloudmask').Not()\n",
        "\n",
        "    # Subset reflectance bands and update their masks, return the result.\n",
        "    # return img.select('B.*').updateMask(not_cld_shdw)\n",
        "    return img.updateMask(not_cld_shdw)\n",
        "\n",
        "s2_cloudless_right = (s2_right.map(add_cld_shdw_mask)\n",
        "                             .map(apply_cld_shdw_mask))\n",
        "s2_cloudless_left = (s2_left.map(add_cld_shdw_mask)\n",
        "                             .map(apply_cld_shdw_mask))\n",
        "s2_cloudless_all = (s2_all.map(add_cld_shdw_mask)\n",
        "                             .map(apply_cld_shdw_mask))"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Add Earth Engine dataset\n",
        "# Load the Sentinel-1 ImageCollection.\n",
        "s1_start = ee.Date('2018-01-01')\n",
        "s1_finish = ee.Date('2018-12-31')\n",
        "\n",
        "# sentinel1 = ee.ImageCollection('COPERNICUS/S1_GRD') \\\n",
        "#     .filterBounds(AOI_point)\n",
        "\n",
        "# Filter by metadata properties.\n",
        "# vh = sentinel1 \\\n",
        "#   .filter(ee.Filter.listContains('transmitterReceiverPolarisation', 'VV')) \\\n",
        "#   .filter(ee.Filter.listContains('transmitterReceiverPolarisation', 'VH')) \\\n",
        "#   .filter(ee.Filter.eq('instrumentMode', 'IW'))\n",
        "\n",
        "sentinel1VV = ee.ImageCollection('COPERNICUS/S1_GRD') \\\n",
        "                    .filter(ee.Filter.eq('instrumentMode', 'IW'))  \\\n",
        "                    .filter(ee.Filter.eq('resolution_meters', 10))  \\\n",
        "                    .filterBounds(AOI_point) \\\n",
        "                    .filterDate(s1_start, s1_finish)  \\\n",
        "                    .select('VV')\n",
        "\n",
        "sentinel1VH = ee.ImageCollection('COPERNICUS/S1_GRD') \\\n",
        "                    .filter(ee.Filter.eq('instrumentMode', 'IW'))  \\\n",
        "                    .filter(ee.Filter.eq('resolution_meters', 10))  \\\n",
        "                    .filterBounds(AOI_point) \\\n",
        "                    .filterDate(s1_start, s1_finish)  \\\n",
        "                    .select('VH')\n",
        "\n",
        "sentinel1 = sentinel1VV.combine(sentinel1VH);\n",
        "\n",
        "# Create a composite from means at different polarizations and look angles.\n",
        "# composite = ee.Image.cat([\n",
        "#   vhAscending.select('VH').mean(),\n",
        "#   ee.ImageCollection(vhAscending.select('VV').merge(vhDescending.select('VV'))).mean(),\n",
        "#   vhDescending.select('VH').mean()\n",
        "# ]).focal_median()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        },
        "id": "29V2Fio9THz-",
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              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
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              "            "
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    {
      "cell_type": "code",
      "source": [
        "\n",
        "diff = s1_finish.difference(s1_start, 'week');\n",
        "\n",
        "date_range = ee.List.sequence(0, diff.subtract(1)).map(lambda day:s1_start.advance(day,'week'))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
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              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
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              "            "
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      "cell_type": "code",
      "source": [
        "date_range"
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      "metadata": {
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          "height": 152
        },
        "id": "qwLzI7DYMIgJ",
        "outputId": "7d5bc5d5-9d6d-46fc-95f1-b6e42325664e"
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              "\n",
              "            <style>\n",
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              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
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              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
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              "            "
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              "  --background-color-row-even: var(--jp-layout-color1, white);\n",
              "  --background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
              "}\n",
              "\n",
              "html[theme=\"dark\"],\n",
              "body[data-theme=\"dark\"],\n",
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              "  --border-color: #2e2e2e;\n",
              "  --background-color: #111111;\n",
              "  --background-color-row-even: #111111;\n",
              "  --background-color-row-odd: #313131;\n",
              "}\n",
              "\n",
              ".ee {\n",
              "  padding: 1em;\n",
              "  line-height: 1.5em;\n",
              "  min-width: 300px;\n",
              "  max-width: 1200px;\n",
              "  overflow-y: scroll;\n",
              "  max-height: 600px;\n",
              "  border: 1px solid var(--border-color);\n",
              "  font-family: monospace;\n",
              "}\n",
              "\n",
              ".ee li {\n",
              "  list-style-type: none;\n",
              "}\n",
              "\n",
              ".ee ul {\n",
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              "\n",
              ".ee-open,\n",
              ".ee-shut {\n",
              "  color: var(--font-color-secondary);\n",
              "  cursor: pointer;\n",
              "  margin: 0;\n",
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              "\n",
              ".ee-open:hover,\n",
              ".ee-shut:hover {\n",
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              "\n",
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              "\n",
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              "\n",
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              "\n",
              ".ee-shut + ul {\n",
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              "\n",
              ".ee-open::before {\n",
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              "</style><div class='ee'><ul><li><label class='ee-shut'>List (4 elements)<input type='checkbox' class='ee-toggle'></label><ul><li><label class='ee-shut'>0: Date (2018-12-01 00:00:00)<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>Date</span></li><li><span class='ee-k'>value:</span><span class='ee-v'>1543622400000</span></li></ul></li><li><label class='ee-shut'>1: Date (2018-12-08 00:00:00)<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>Date</span></li><li><span class='ee-k'>value:</span><span class='ee-v'>1544227200000</span></li></ul></li><li><label class='ee-shut'>2: Date (2018-12-15 00:00:00)<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>Date</span></li><li><span class='ee-k'>value:</span><span class='ee-v'>1544832000000</span></li></ul></li><li><label class='ee-shut'>3: Date (2018-12-22 00:00:00)<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>Date</span></li><li><span class='ee-k'>value:</span><span class='ee-v'>1545436800000</span></li></ul></li></ul></li></ul></div><script>function toggleHeader() {\n",
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              "\n",
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              "    c.onclick = toggleHeader;\n",
              "}</script></div>"
            ]
          },
          "metadata": {},
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "def VHday_mosaics(date, newlist):\n",
        "\n",
        "  date = ee.Date(date);\n",
        "  newlist = ee.List(newlist);\n",
        "\n",
        "\n",
        "  filtered = sentinel1VH.filterDate(date, date.advance(1,'week'));\n",
        "\n",
        "  date_formatted = ee.Date(date);\n",
        "\n",
        "\n",
        "  image = ee.Image(filtered.mosaic()).set('system:time_start', date_formatted);\n",
        "  image = ee.Image(filtered.max()).set('system:time_start', date_formatted);\n",
        "  return ee.List(ee.Algorithms.If(filtered.size(), newlist.add(image), newlist));\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        },
        "id": "kGMIF9QrV83d",
        "outputId": "3bbd1313-4cb4-45a2-c394-3fe2b278b1bc"
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              "                .geemap-dark {\n",
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              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
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              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
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              "\n",
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      "source": [
        "VHcols1 = ee.ImageCollection(ee.List(date_range.iterate(VHday_mosaics, ee.List([]))))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
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              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
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              "                    --jp-layout-color2: #454545;\n",
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              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
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              "            "
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    {
      "cell_type": "code",
      "source": [
        "def renameImage(image):\n",
        "  newId = image.get('system:time_start')\n",
        "  return image.set('system:id', newId)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
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        "id": "3Kg1DB33WcKj",
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              "<IPython.core.display.HTML object>"
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            "text/html": [
              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
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              "            </style>\n",
              "            "
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    {
      "cell_type": "code",
      "source": [
        "\n",
        "VHcols1_id = VHcols1.map(renameImage)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        },
        "id": "ArRkwdofVHWL",
        "outputId": "4d06b387-62e6-4cac-a1b2-756e51b6b34c"
      },
      "execution_count": null,
      "outputs": [
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          "data": {
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              "<IPython.core.display.HTML object>"
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            "text/html": [
              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
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          "height": 157
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            "WARNING:googleapiclient.http:Sleeping 2.81 seconds before retry 2 of 5 for request: POST https://earthengine.googleapis.com/v1/projects/ee-lfmc/value:compute?prettyPrint=false&alt=json, after 500\n",
            "WARNING:googleapiclient.http:Sleeping 2.91 seconds before retry 3 of 5 for request: POST https://earthengine.googleapis.com/v1/projects/ee-lfmc/value:compute?prettyPrint=false&alt=json, after 500\n",
            "WARNING:googleapiclient.http:Sleeping 2.41 seconds before retry 4 of 5 for request: POST https://earthengine.googleapis.com/v1/projects/ee-lfmc/value:compute?prettyPrint=false&alt=json, after 500\n"
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              "\n",
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      "cell_type": "code",
      "source": [
        "def reduceRES(img):\n",
        "  # Get information about the MODIS projection.\n",
        "  modisProjection = img.select('B8').projection().atScale(30)\n",
        "\n",
        "  # Get the forest cover data at MODIS scale and projection.\n",
        "  img = img \\\n",
        "      .reduceResolution(**{\n",
        "        'reducer': ee.Reducer.mean(),\n",
        "        'maxPixels': 1024\n",
        "      }) \\\n",
        "      .reproject(**{\n",
        "        'crs': modisProjection\n",
        "      })\n",
        "  return img"
      ],
      "metadata": {
        "colab": {
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              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
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              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
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      "cell_type": "code",
      "source": [
        "def getNDVI(image):\n",
        "    return image.normalizedDifference(['B8', 'B4'])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
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              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
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              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
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        "s2_cloudless_all.first().select('B8').projection().getInfo()\n"
      ],
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          "base_uri": "https://localhost:8080/",
          "height": 69
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        "id": "QtSq8cUdIfIL",
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              "                .geemap-dark .jupyter-button {\n",
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              "                .geemap-colab {\n",
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              " 'crs': 'EPSG:32649',\n",
              " 'transform': [10, 0, 799980, 0, -10, 2600040]}"
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        "s2_cloudless_all.first().select('B8').projection().atScale(30).getInfo()"
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          "height": 69
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              " 'crs': 'EPSG:32649',\n",
              " 'transform': [30, 0, 799980, 0, -30, 2600040]}"
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          "metadata": {},
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      "cell_type": "code",
      "source": [
        "ndvi_img = s2_cloudless_all.map(getNDVI)\n",
        "ndvi_img_right = s2_cloudless_right.map(getNDVI)\n",
        "ndvi_img_left = s2_cloudless_left.map(getNDVI)"
      ],
      "metadata": {
        "colab": {
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          "height": 17
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              "                    background-color: var(--colab-primary-surface-color, white);\n",
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              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
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        "ndvi_img.first().getInfo()"
      ],
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        "colab": {
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          "height": 555
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        "id": "EkLA6Yv6HfXY",
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              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "            </style>\n",
              "            "
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        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'type': 'Image',\n",
              " 'bands': [{'id': 'nd',\n",
              "   'data_type': {'type': 'PixelType',\n",
              "    'precision': 'float',\n",
              "    'min': -1,\n",
              "    'max': 1},\n",
              "   'dimensions': [10980, 10980],\n",
              "   'crs': 'EPSG:32650',\n",
              "   'crs_transform': [10, 0, 199980, 0, -10, 2600040]}],\n",
              " 'properties': {'system:footprint': {'type': 'LinearRing',\n",
              "   'coordinates': [[114.48126813926841, 22.499604297689583],\n",
              "    [114.48124602190408, 22.499613723351665],\n",
              "    [114.47860797344723, 22.50038519323798],\n",
              "    [114.37665009277772, 22.52827604879251],\n",
              "    [114.13694935584756, 22.589175285415145],\n",
              "    [114.12287883663093, 22.592714585718863],\n",
              "    [114.08857974159893, 22.601302314837415],\n",
              "    [114.08213004031255, 22.602810339155663],\n",
              "    [114.08210572458435, 22.602812661857406],\n",
              "    [114.08181420793629, 22.60280743688408],\n",
              "    [114.08171821517436, 22.60273610613278],\n",
              "    [114.08403791364864, 22.492464413320224],\n",
              "    [114.08411512482846, 22.49237579732692],\n",
              "    [114.47996593200898, 22.499057226158357],\n",
              "    [114.4812307029092, 22.499167546264303],\n",
              "    [114.48126968023226, 22.49920598303156],\n",
              "    [114.48131926300742, 22.499238207372272],\n",
              "    [114.48131400560193, 22.499529422093264],\n",
              "    [114.48128182665307, 22.499561973105617],\n",
              "    [114.48126813926841, 22.499604297689583]]},\n",
              "  'system:index': '20180110T031121_20180110T031124_T50QKL'}}"
            ]
          },
          "metadata": {},
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        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "landslide_points = ee.FeatureCollection(\"projects/ee-lfmc/assets/hk_landslide_2019_wgs84\")\n",
        "buffered = landslide_points.map(lambda f: f.buffer(ee.Number(f.get('M_WIDTH'))).bounds())\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        },
        "id": "TholyCUFJZ3d",
        "outputId": "a31ded3e-0047-443b-88a2-584a886fbe4c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
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              "<IPython.core.display.HTML object>"
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              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
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              "            "
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        }
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    {
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            "8370459299fd49c09bdb69df185b6d80"
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        },
        "id": "KCuJLTzGTCEf",
        "outputId": "57c78884-1b45-49bb-b577-2b93d0a3c8ec"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "            </style>\n",
              "            "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Map(center=[0, 0], controls=(WidgetControl(options=['position', 'transparent_bg'], widget=SearchDataGUI(childr…"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "58d56afb57be4f3ca46867cba856c831"
            }
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                  "url": "https://ssl.gstatic.com/colaboratory-static/widgets/colab-cdn-widget-manager/2b70e893a8ba7c0f/manager.min.js"
                }
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      ],
      "source": [
        "Map = geemap.Map()\n",
        "Map"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "s2_cloudless_right.first()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 105
        },
        "id": "ODF8GIsZmHhl",
        "outputId": "eb49fcd4-e63b-41ee-cdef-8a17a1c7ca16"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "            </style>\n",
              "            "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "WARNING:googleapiclient.http:Sleeping 1.08 seconds before retry 1 of 5 for request: POST https://earthengine.googleapis.com/v1/projects/ee-lfmc/value:compute?prettyPrint=false&alt=json, after 502\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<ee.image.Image at 0x7b0f3fa8fee0>"
            ],
            "text/html": [
              "<div><style>:root {\n",
              "  --font-color-primary: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
              "  --font-color-secondary: var(--jp-content-font-color2, rgba(0, 0, 0, 0.6));\n",
              "  --font-color-accent: rgba(123, 31, 162, 1);\n",
              "  --border-color: var(--jp-border-color2, #e0e0e0);\n",
              "  --background-color: var(--jp-layout-color0, white);\n",
              "  --background-color-row-even: var(--jp-layout-color1, white);\n",
              "  --background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
              "}\n",
              "\n",
              "html[theme=\"dark\"],\n",
              "body[data-theme=\"dark\"],\n",
              "body.vscode-dark {\n",
              "  --font-color-primary: rgba(255, 255, 255, 1);\n",
              "  --font-color-secondary: rgba(255, 255, 255, 0.6);\n",
              "  --font-color-accent: rgb(173, 132, 190);\n",
              "  --border-color: #2e2e2e;\n",
              "  --background-color: #111111;\n",
              "  --background-color-row-even: #111111;\n",
              "  --background-color-row-odd: #313131;\n",
              "}\n",
              "\n",
              ".ee {\n",
              "  padding: 1em;\n",
              "  line-height: 1.5em;\n",
              "  min-width: 300px;\n",
              "  max-width: 1200px;\n",
              "  overflow-y: scroll;\n",
              "  max-height: 600px;\n",
              "  border: 1px solid var(--border-color);\n",
              "  font-family: monospace;\n",
              "}\n",
              "\n",
              ".ee li {\n",
              "  list-style-type: none;\n",
              "}\n",
              "\n",
              ".ee ul {\n",
              "  padding-left: 1.5em !important;\n",
              "  margin: 0;\n",
              "}\n",
              "\n",
              ".ee > ul {\n",
              "  padding-left: 0 !important;\n",
              "}\n",
              "\n",
              ".ee-open,\n",
              ".ee-shut {\n",
              "  color: var(--font-color-secondary);\n",
              "  cursor: pointer;\n",
              "  margin: 0;\n",
              "}\n",
              "\n",
              ".ee-open:hover,\n",
              ".ee-shut:hover {\n",
              "  color: var(--font-color-primary);\n",
              "}\n",
              "\n",
              ".ee-k {\n",
              "  color: var(--font-color-accent);\n",
              "  margin-right: 6px;\n",
              "}\n",
              "\n",
              ".ee-v {\n",
              "  color: var(--font-color-primary);\n",
              "}\n",
              "\n",
              ".ee-toggle {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".ee-shut + ul {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".ee-open + ul {\n",
              "  display: block;\n",
              "}\n",
              "\n",
              ".ee-shut::before {\n",
              "  display: inline-block;\n",
              "  content: \"▼\";\n",
              "  margin-right: 6px;\n",
              "  transform: rotate(-90deg);\n",
              "  transition: transform 0.2s;\n",
              "}\n",
              "\n",
              ".ee-open::before {\n",
              "  transform: rotate(0deg);\n",
              "  display: inline-block;\n",
              "  content: \"▼\";\n",
              "  margin-right: 6px;\n",
              "  transition: transform 0.2s;\n",
              "}\n",
              "</style><div class='ee'><ul><li><label class='ee-shut'>Image COPERNICUS/S2_HARMONIZED/20180115T030049_20180115T030946_T49QHE (17 bands)<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>Image</span></li><li><span class='ee-k'>id:</span><span class='ee-v'>COPERNICUS/S2_HARMONIZED/20180115T030049_20180115T030946_T49QHE</span></li><li><span class='ee-k'>version:</span><span class='ee-v'>1713274000759056</span></li><li><label class='ee-shut'>bands: List (17 elements)<input type='checkbox' class='ee-toggle'></label><ul><li><label class='ee-shut'>0: \"B1\", unsigned int16, EPSG:32649, 1830x1830 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>B1</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32649</span></li><li><label class='ee-shut'>crs_transform: [60, 0, 799980, 0, -60, 2500020]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>60</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>799980</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>-60</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2500020</span></li></ul></li><li><label class='ee-shut'>data_type: unsigned int16<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>65535</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [1830, 1830]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>1830</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>1830</span></li></ul></li></ul></li><li><label class='ee-shut'>1: \"B2\", unsigned int16, EPSG:32649, 10980x10980 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>B2</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32649</span></li><li><label class='ee-shut'>crs_transform: [10, 0, 799980, 0, -10, 2500020]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>10</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>799980</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>-10</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2500020</span></li></ul></li><li><label class='ee-shut'>data_type: unsigned int16<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>65535</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [10980, 10980]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>10980</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>10980</span></li></ul></li></ul></li><li><label class='ee-shut'>2: \"B3\", unsigned int16, EPSG:32649, 10980x10980 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>B3</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32649</span></li><li><label class='ee-shut'>crs_transform: [10, 0, 799980, 0, -10, 2500020]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>10</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>799980</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>-10</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2500020</span></li></ul></li><li><label class='ee-shut'>data_type: unsigned int16<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>65535</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [10980, 10980]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>10980</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>10980</span></li></ul></li></ul></li><li><label class='ee-shut'>3: \"B4\", unsigned int16, EPSG:32649, 10980x10980 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>B4</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32649</span></li><li><label class='ee-shut'>crs_transform: [10, 0, 799980, 0, -10, 2500020]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>10</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>799980</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>-10</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2500020</span></li></ul></li><li><label class='ee-shut'>data_type: unsigned int16<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>65535</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [10980, 10980]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>10980</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>10980</span></li></ul></li></ul></li><li><label class='ee-shut'>4: \"B5\", unsigned int16, EPSG:32649, 5490x5490 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>B5</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32649</span></li><li><label class='ee-shut'>crs_transform: [20, 0, 799980, 0, -20, 2500020]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>20</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>799980</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>-20</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2500020</span></li></ul></li><li><label class='ee-shut'>data_type: unsigned int16<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>65535</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [5490, 5490]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>5490</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>5490</span></li></ul></li></ul></li><li><label class='ee-shut'>5: \"B6\", unsigned int16, EPSG:32649, 5490x5490 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>B6</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32649</span></li><li><label class='ee-shut'>crs_transform: [20, 0, 799980, 0, -20, 2500020]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>20</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>799980</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>-20</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2500020</span></li></ul></li><li><label class='ee-shut'>data_type: unsigned int16<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>65535</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [5490, 5490]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>5490</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>5490</span></li></ul></li></ul></li><li><label class='ee-shut'>6: \"B7\", unsigned int16, EPSG:32649, 5490x5490 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>B7</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32649</span></li><li><label class='ee-shut'>crs_transform: [20, 0, 799980, 0, -20, 2500020]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>20</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>799980</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>-20</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2500020</span></li></ul></li><li><label class='ee-shut'>data_type: unsigned int16<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>65535</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [5490, 5490]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>5490</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>5490</span></li></ul></li></ul></li><li><label class='ee-shut'>7: \"B8\", unsigned int16, EPSG:32649, 10980x10980 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>B8</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32649</span></li><li><label class='ee-shut'>crs_transform: [10, 0, 799980, 0, -10, 2500020]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>10</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>799980</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>-10</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2500020</span></li></ul></li><li><label class='ee-shut'>data_type: unsigned int16<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>65535</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [10980, 10980]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>10980</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>10980</span></li></ul></li></ul></li><li><label class='ee-shut'>8: \"B8A\", unsigned int16, EPSG:32649, 5490x5490 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>B8A</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32649</span></li><li><label class='ee-shut'>crs_transform: [20, 0, 799980, 0, -20, 2500020]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>20</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>799980</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>-20</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2500020</span></li></ul></li><li><label class='ee-shut'>data_type: unsigned int16<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>65535</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [5490, 5490]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>5490</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>5490</span></li></ul></li></ul></li><li><label class='ee-shut'>9: \"B9\", unsigned int16, EPSG:32649, 1830x1830 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>B9</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32649</span></li><li><label class='ee-shut'>crs_transform: [60, 0, 799980, 0, -60, 2500020]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>60</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>799980</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>-60</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2500020</span></li></ul></li><li><label class='ee-shut'>data_type: unsigned int16<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>65535</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [1830, 1830]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>1830</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>1830</span></li></ul></li></ul></li><li><label class='ee-shut'>10: \"B10\", unsigned int16, EPSG:32649, 1830x1830 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>B10</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32649</span></li><li><label class='ee-shut'>crs_transform: [60, 0, 799980, 0, -60, 2500020]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>60</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>799980</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>-60</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2500020</span></li></ul></li><li><label class='ee-shut'>data_type: unsigned int16<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>65535</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [1830, 1830]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>1830</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>1830</span></li></ul></li></ul></li><li><label class='ee-shut'>11: \"B11\", unsigned int16, EPSG:32649, 5490x5490 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>B11</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32649</span></li><li><label class='ee-shut'>crs_transform: [20, 0, 799980, 0, -20, 2500020]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>20</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>799980</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>-20</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2500020</span></li></ul></li><li><label class='ee-shut'>data_type: unsigned int16<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>65535</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [5490, 5490]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>5490</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>5490</span></li></ul></li></ul></li><li><label class='ee-shut'>12: \"B12\", unsigned int16, EPSG:32649, 5490x5490 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>B12</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32649</span></li><li><label class='ee-shut'>crs_transform: [20, 0, 799980, 0, -20, 2500020]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>20</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>799980</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>-20</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2500020</span></li></ul></li><li><label class='ee-shut'>data_type: unsigned int16<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>65535</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [5490, 5490]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>5490</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>5490</span></li></ul></li></ul></li><li><label class='ee-shut'>13: \"QA10\", unsigned int16, EPSG:32649, 10980x10980 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>QA10</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32649</span></li><li><label class='ee-shut'>crs_transform: [10, 0, 799980, 0, -10, 2500020]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>10</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>799980</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>-10</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2500020</span></li></ul></li><li><label class='ee-shut'>data_type: unsigned int16<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>65535</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [10980, 10980]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>10980</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>10980</span></li></ul></li></ul></li><li><label class='ee-shut'>14: \"QA20\", unsigned int32, EPSG:32649, 5490x5490 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>QA20</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32649</span></li><li><label class='ee-shut'>crs_transform: [20, 0, 799980, 0, -20, 2500020]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>20</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>799980</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>-20</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2500020</span></li></ul></li><li><label class='ee-shut'>data_type: unsigned int32<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>4294967295</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [5490, 5490]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>5490</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>5490</span></li></ul></li></ul></li><li><label class='ee-shut'>15: \"QA60\", unsigned int16, EPSG:32649, 1830x1830 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>QA60</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32649</span></li><li><label class='ee-shut'>crs_transform: [60, 0, 799980, 0, -60, 2500020]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>60</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>799980</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>-60</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2500020</span></li></ul></li><li><label class='ee-shut'>data_type: unsigned int16<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>65535</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [1830, 1830]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>1830</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>1830</span></li></ul></li></ul></li><li><label class='ee-shut'>16: \"cloudmask\", int ∈ [0, 1], EPSG:32649, 5490x5490 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>cloudmask</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32649</span></li><li><label class='ee-shut'>crs_transform: [20, 0, 799980, 0, 20, 2500020]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>20</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>799980</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>20</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2500020</span></li></ul></li><li><label class='ee-shut'>data_type: int ∈ [0, 1]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>1</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [5490, 5490]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>5490</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>5490</span></li></ul></li><li><label class='ee-shut'>origin: [0, -5490]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>-5490</span></li></ul></li></ul></li></ul></li><li><label class='ee-shut'>properties: Object (68 properties)<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>CLOUDY_PIXEL_PERCENTAGE:</span><span class='ee-v'>0.2486</span></li><li><span class='ee-k'>CLOUD_COVERAGE_ASSESSMENT:</span><span class='ee-v'>0.2486</span></li><li><span class='ee-k'>DATASTRIP_ID:</span><span class='ee-v'>S2B_OPER_MSI_L1C_DS_SGS__20180115T081848_S20180115T030946_N02.06</span></li><li><span class='ee-k'>DATATAKE_IDENTIFIER:</span><span class='ee-v'>GS2B_20180115T030049_004491_N02.06</span></li><li><span class='ee-k'>DATATAKE_TYPE:</span><span class='ee-v'>INS-NOBS</span></li><li><span class='ee-k'>DEGRADED_MSI_DATA_PERCENTAGE:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>FORMAT_CORRECTNESS:</span><span class='ee-v'>PASSED</span></li><li><span class='ee-k'>GENERAL_QUALITY:</span><span class='ee-v'>PASSED</span></li><li><span class='ee-k'>GENERATION_TIME:</span><span class='ee-v'>1516004328000</span></li><li><span class='ee-k'>GEOMETRIC_QUALITY:</span><span class='ee-v'>PASSED</span></li><li><span class='ee-k'>GRANULE_ID:</span><span class='ee-v'>L1C_T49QHE_A004491_20180115T030946</span></li><li><span class='ee-k'>MEAN_INCIDENCE_AZIMUTH_ANGLE_B1:</span><span class='ee-v'>285.336874353</span></li><li><span class='ee-k'>MEAN_INCIDENCE_AZIMUTH_ANGLE_B10:</span><span class='ee-v'>284.379892282</span></li><li><span class='ee-k'>MEAN_INCIDENCE_AZIMUTH_ANGLE_B11:</span><span class='ee-v'>284.783130235</span></li><li><span class='ee-k'>MEAN_INCIDENCE_AZIMUTH_ANGLE_B12:</span><span class='ee-v'>285.175118489</span></li><li><span class='ee-k'>MEAN_INCIDENCE_AZIMUTH_ANGLE_B2:</span><span class='ee-v'>283.895082912</span></li><li><span class='ee-k'>MEAN_INCIDENCE_AZIMUTH_ANGLE_B3:</span><span class='ee-v'>284.215190126</span></li><li><span class='ee-k'>MEAN_INCIDENCE_AZIMUTH_ANGLE_B4:</span><span class='ee-v'>284.527794613</span></li><li><span class='ee-k'>MEAN_INCIDENCE_AZIMUTH_ANGLE_B5:</span><span class='ee-v'>284.681511921</span></li><li><span class='ee-k'>MEAN_INCIDENCE_AZIMUTH_ANGLE_B6:</span><span class='ee-v'>284.875272732</span></li><li><span class='ee-k'>MEAN_INCIDENCE_AZIMUTH_ANGLE_B7:</span><span class='ee-v'>285.035064389</span></li><li><span class='ee-k'>MEAN_INCIDENCE_AZIMUTH_ANGLE_B8:</span><span class='ee-v'>284.05822763</span></li><li><span class='ee-k'>MEAN_INCIDENCE_AZIMUTH_ANGLE_B8A:</span><span class='ee-v'>285.204250366</span></li><li><span class='ee-k'>MEAN_INCIDENCE_AZIMUTH_ANGLE_B9:</span><span class='ee-v'>285.545715698</span></li><li><span class='ee-k'>MEAN_INCIDENCE_ZENITH_ANGLE_B1:</span><span class='ee-v'>9.44114273914</span></li><li><span class='ee-k'>MEAN_INCIDENCE_ZENITH_ANGLE_B10:</span><span class='ee-v'>9.31930900997</span></li><li><span class='ee-k'>MEAN_INCIDENCE_ZENITH_ANGLE_B11:</span><span class='ee-v'>9.36056308985</span></li><li><span class='ee-k'>MEAN_INCIDENCE_ZENITH_ANGLE_B12:</span><span class='ee-v'>9.41685940251</span></li><li><span class='ee-k'>MEAN_INCIDENCE_ZENITH_ANGLE_B2:</span><span class='ee-v'>9.27408152671</span></li><li><span class='ee-k'>MEAN_INCIDENCE_ZENITH_ANGLE_B3:</span><span class='ee-v'>9.30395260464</span></li><li><span class='ee-k'>MEAN_INCIDENCE_ZENITH_ANGLE_B4:</span><span class='ee-v'>9.33007570132</span></li><li><span class='ee-k'>MEAN_INCIDENCE_ZENITH_ANGLE_B5:</span><span class='ee-v'>9.34823773258</span></li><li><span class='ee-k'>MEAN_INCIDENCE_ZENITH_ANGLE_B6:</span><span class='ee-v'>9.36407223751</span></li><li><span class='ee-k'>MEAN_INCIDENCE_ZENITH_ANGLE_B7:</span><span class='ee-v'>9.38665131911</span></li><li><span class='ee-k'>MEAN_INCIDENCE_ZENITH_ANGLE_B8:</span><span class='ee-v'>9.29200034619</span></li><li><span class='ee-k'>MEAN_INCIDENCE_ZENITH_ANGLE_B8A:</span><span class='ee-v'>9.41131622738</span></li><li><span class='ee-k'>MEAN_INCIDENCE_ZENITH_ANGLE_B9:</span><span class='ee-v'>9.46631548358</span></li><li><span class='ee-k'>MEAN_SOLAR_AZIMUTH_ANGLE:</span><span class='ee-v'>154.36477384</span></li><li><span class='ee-k'>MEAN_SOLAR_ZENITH_ANGLE:</span><span class='ee-v'>47.4070892852</span></li><li><span class='ee-k'>MGRS_TILE:</span><span class='ee-v'>49QHE</span></li><li><span class='ee-k'>PROCESSING_BASELINE:</span><span class='ee-v'>02.06</span></li><li><span class='ee-k'>PRODUCT_ID:</span><span class='ee-v'>S2B_MSIL1C_20180115T030049_N0206_R032_T49QHE_20180115T081848</span></li><li><span class='ee-k'>RADIOMETRIC_QUALITY:</span><span class='ee-v'>PASSED</span></li><li><span class='ee-k'>REFLECTANCE_CONVERSION_CORRECTION:</span><span class='ee-v'>1.03397570842</span></li><li><span class='ee-k'>SENSING_ORBIT_DIRECTION:</span><span class='ee-v'>DESCENDING</span></li><li><span class='ee-k'>SENSING_ORBIT_NUMBER:</span><span class='ee-v'>32</span></li><li><span class='ee-k'>SENSOR_QUALITY:</span><span class='ee-v'>PASSED</span></li><li><span class='ee-k'>SOLAR_IRRADIANCE_B1:</span><span class='ee-v'>1874.3</span></li><li><span class='ee-k'>SOLAR_IRRADIANCE_B10:</span><span class='ee-v'>365.41</span></li><li><span class='ee-k'>SOLAR_IRRADIANCE_B11:</span><span class='ee-v'>247.08</span></li><li><span class='ee-k'>SOLAR_IRRADIANCE_B12:</span><span class='ee-v'>87.75</span></li><li><span class='ee-k'>SOLAR_IRRADIANCE_B2:</span><span class='ee-v'>1959.77</span></li><li><span class='ee-k'>SOLAR_IRRADIANCE_B3:</span><span class='ee-v'>1824.93</span></li><li><span class='ee-k'>SOLAR_IRRADIANCE_B4:</span><span class='ee-v'>1512.79</span></li><li><span class='ee-k'>SOLAR_IRRADIANCE_B5:</span><span class='ee-v'>1425.78</span></li><li><span class='ee-k'>SOLAR_IRRADIANCE_B6:</span><span class='ee-v'>1291.13</span></li><li><span class='ee-k'>SOLAR_IRRADIANCE_B7:</span><span class='ee-v'>1175.57</span></li><li><span class='ee-k'>SOLAR_IRRADIANCE_B8:</span><span class='ee-v'>1041.28</span></li><li><span class='ee-k'>SOLAR_IRRADIANCE_B8A:</span><span class='ee-v'>953.93</span></li><li><span class='ee-k'>SOLAR_IRRADIANCE_B9:</span><span class='ee-v'>817.58</span></li><li><span class='ee-k'>SPACECRAFT_NAME:</span><span class='ee-v'>Sentinel-2B</span></li><li><span class='ee-k'>quality_check:</span><span class='ee-v'>PASSED</span></li><li><label class='ee-shut'>s2cloudless: Image COPERNICUS/S2_CLOUD_PROBABILITY/20180115T030049_20180115T030946_T49QHE (1 band)<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>Image</span></li><li><span class='ee-k'>id:</span><span class='ee-v'>COPERNICUS/S2_CLOUD_PROBABILITY/20180115T030049_20180115T030946_T49QHE</span></li><li><span class='ee-k'>version:</span><span class='ee-v'>1584862050314917</span></li><li><label class='ee-shut'>bands: List (1 element)<input type='checkbox' class='ee-toggle'></label><ul><li><label class='ee-shut'>0: \"probability\", unsigned int8, EPSG:32649, 10980x10980 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>probability</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32649</span></li><li><label class='ee-shut'>crs_transform: [10, 0, 799980, 0, -10, 2500020]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>10</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>799980</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>-10</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2500020</span></li></ul></li><li><label class='ee-shut'>data_type: unsigned int8<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>255</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [10980, 10980]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>10980</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>10980</span></li></ul></li></ul></li></ul></li><li><label class='ee-shut'>properties: Object (5 properties)<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>system:asset_size:</span><span class='ee-v'>23769470</span></li><li><label class='ee-shut'>system:footprint: LinearRing (21 vertices)<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>LinearRing</span></li><li><label class='ee-shut'>coordinates: List (21 elements)<input type='checkbox' class='ee-toggle'></label><ul><li><label class='ee-shut'>0: [113.89705316574435, 21.58978542650733]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>113.89705316574435</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>21.58978542650733</span></li></ul></li><li><label class='ee-shut'>1: [113.89706904972849, 21.589782336426968]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>113.89706904972849</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>21.589782336426968</span></li></ul></li><li><label class='ee-shut'>2: [114.95569969339581, 21.567977430593366]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.95569969339581</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>21.567977430593366</span></li></ul></li><li><label class='ee-shut'>3: [114.95574531901296, 21.568012972343485]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.95574531901296</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>21.568012972343485</span></li></ul></li><li><label class='ee-shut'>4: [114.95579836783784, 21.568044705714776]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.95579836783784</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>21.568044705714776</span></li></ul></li><li><label class='ee-shut'>5: [114.96257062480268, 21.815455885387223]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.96257062480268</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>21.815455885387223</span></li></ul></li><li><label class='ee-shut'>6: [114.96943924400009, 22.062837204818447]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.96943924400009</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.062837204818447</span></li></ul></li><li><label class='ee-shut'>7: [114.9764056676065, 22.310209044326474]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.9764056676065</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.310209044326474</span></li></ul></li><li><label class='ee-shut'>8: [114.98347061341353, 22.55757125319301]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.98347061341353</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.55757125319301</span></li></ul></li><li><label class='ee-shut'>9: [114.98343223311271, 22.557613610708028]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.98343223311271</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.557613610708028</span></li></ul></li><li><label class='ee-shut'>10: [114.98339991762018, 22.557660137326597]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.98339991762018</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.557660137326597</span></li></ul></li><li><label class='ee-shut'>11: [114.98338398617173, 22.557663360453436]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.98338398617173</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.557663360453436</span></li></ul></li><li><label class='ee-shut'>12: [113.91737680455897, 22.580574016682114]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>113.91737680455897</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.580574016682114</span></li></ul></li><li><label class='ee-shut'>13: [113.91733115133005, 22.580538219916786]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>113.91733115133005</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.580538219916786</span></li></ul></li><li><label class='ee-shut'>14: [113.91727787409728, 22.580506179979167]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>113.91727787409728</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.580506179979167</span></li></ul></li><li><label class='ee-shut'>15: [113.91209570527722, 22.3328457530862]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>113.91209570527722</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.3328457530862</span></li></ul></li><li><label class='ee-shut'>16: [113.906986365189, 22.085197023417845]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>113.906986365189</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.085197023417845</span></li></ul></li><li><label class='ee-shut'>17: [113.90194867627683, 21.837539718221272]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>113.90194867627683</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>21.837539718221272</span></li></ul></li><li><label class='ee-shut'>18: [113.89698218702043, 21.589873864111446]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>113.89698218702043</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>21.589873864111446</span></li></ul></li><li><label class='ee-shut'>19: [113.8970206716495, 21.589831706587056]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>113.8970206716495</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>21.589831706587056</span></li></ul></li><li><label class='ee-shut'>20: [113.89705316574435, 21.58978542650733]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>113.89705316574435</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>21.58978542650733</span></li></ul></li></ul></li></ul></li><li><span class='ee-k'>system:index:</span><span class='ee-v'>20180115T030049_20180115T030946_T49QHE</span></li><li><span class='ee-k'>system:time_end:</span><span class='ee-v'>1516071649000</span></li><li><span class='ee-k'>system:time_start:</span><span class='ee-v'>1515985249000</span></li></ul></li></ul></li><li><span class='ee-k'>system:asset_size:</span><span class='ee-v'>602193691</span></li><li><label class='ee-shut'>system:footprint: LinearRing (20 vertices)<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>LinearRing</span></li><li><label class='ee-shut'>coordinates: List (20 elements)<input type='checkbox' class='ee-toggle'></label><ul><li><label class='ee-shut'>0: [114.45252204615606, 21.855307944432415]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.45252204615606</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>21.855307944432415</span></li></ul></li><li><label class='ee-shut'>1: [114.46425997388883, 21.901077238348428]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.46425997388883</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>21.901077238348428</span></li></ul></li><li><label class='ee-shut'>2: [114.48563221542683, 21.984534825757777]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.48563221542683</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>21.984534825757777</span></li></ul></li><li><label class='ee-shut'>3: [114.52097894558878, 22.122721029261754]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.52097894558878</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.122721029261754</span></li></ul></li><li><label class='ee-shut'>4: [114.56488539648343, 22.294571407150286]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.56488539648343</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.294571407150286</span></li></ul></li><li><label class='ee-shut'>5: [114.60168924315359, 22.43851399406897]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.60168924315359</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.43851399406897</span></li></ul></li><li><label class='ee-shut'>6: [114.62762384577029, 22.539871600730372]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.62762384577029</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.539871600730372</span></li></ul></li><li><label class='ee-shut'>7: [114.63285810350764, 22.560467181795396]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.63285810350764</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.560467181795396</span></li></ul></li><li><label class='ee-shut'>8: [114.63396027210084, 22.56599797721544]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.63396027210084</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.56599797721544</span></li></ul></li><li><label class='ee-shut'>9: [113.91723167628771, 22.58062173530942]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>113.91723167628771</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.58062173530942</span></li></ul></li><li><label class='ee-shut'>10: [113.91204869011452, 22.332914307797267]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>113.91204869011452</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.332914307797267</span></li></ul></li><li><label class='ee-shut'>11: [113.90693980335745, 22.085288127017613]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>113.90693980335745</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.085288127017613</span></li></ul></li><li><label class='ee-shut'>12: [113.90190265855831, 21.837653352560313]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>113.90190265855831</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>21.837653352560313</span></li></ul></li><li><label class='ee-shut'>13: [113.89693480735505, 21.589920098615046]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>113.89693480735505</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>21.589920098615046</span></li></ul></li><li><label class='ee-shut'>14: [114.3812720767436, 21.58078030589192]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.3812720767436</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>21.58078030589192</span></li></ul></li><li><label class='ee-shut'>15: [114.38230713576883, 21.581520870457243]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.38230713576883</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>21.581520870457243</span></li></ul></li><li><label class='ee-shut'>16: [114.38443264337708, 21.589629856986566]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.38443264337708</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>21.589629856986566</span></li></ul></li><li><label class='ee-shut'>17: [114.3897380680565, 21.61027581528683]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.3897380680565</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>21.61027581528683</span></li></ul></li><li><label class='ee-shut'>18: [114.4322718901589, 21.77632922817202]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.4322718901589</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>21.77632922817202</span></li></ul></li><li><label class='ee-shut'>19: [114.45252204615606, 21.855307944432415]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.45252204615606</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>21.855307944432415</span></li></ul></li></ul></li></ul></li><li><span class='ee-k'>system:index:</span><span class='ee-v'>20180115T030049_20180115T030946_T49QHE</span></li><li><span class='ee-k'>system:time_end:</span><span class='ee-v'>1515985786620</span></li><li><span class='ee-k'>system:time_start:</span><span class='ee-v'>1515985786620</span></li></ul></li></ul></li></ul></div><script>function toggleHeader() {\n",
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              "\n",
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            ]
          },
          "metadata": {},
          "execution_count": 97
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "s2_cloudless_left.first()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 68
        },
        "id": "MnfXX376H_hN",
        "outputId": "424b62d5-3556-42c1-a13c-3f53a149ae2c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
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              "                    --jp-layout-color2: #454545;\n",
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              "\n",
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              "\n",
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              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
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              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
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              "</style><div class='ee'><ul><li><label class='ee-shut'>Image COPERNICUS/S2_HARMONIZED/20180115T030049_20180115T030946_T49QGE (17 bands)<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>Image</span></li><li><span class='ee-k'>id:</span><span class='ee-v'>COPERNICUS/S2_HARMONIZED/20180115T030049_20180115T030946_T49QGE</span></li><li><span class='ee-k'>version:</span><span class='ee-v'>1713274000759056</span></li><li><label class='ee-shut'>bands: List (17 elements)<input type='checkbox' class='ee-toggle'></label><ul><li><label class='ee-shut'>0: \"B1\", unsigned int16, EPSG:32649, 1830x1830 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>B1</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32649</span></li><li><label class='ee-shut'>crs_transform: [60, 0, 699960, 0, -60, 2500020]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>60</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>699960</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>-60</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2500020</span></li></ul></li><li><label class='ee-shut'>data_type: unsigned int16<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>65535</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [1830, 1830]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>1830</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>1830</span></li></ul></li></ul></li><li><label class='ee-shut'>1: \"B2\", unsigned int16, EPSG:32649, 10980x10980 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>B2</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32649</span></li><li><label class='ee-shut'>crs_transform: [10, 0, 699960, 0, -10, 2500020]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>10</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>699960</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>-10</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2500020</span></li></ul></li><li><label class='ee-shut'>data_type: unsigned int16<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>65535</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [10980, 10980]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>10980</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>10980</span></li></ul></li></ul></li><li><label class='ee-shut'>2: \"B3\", unsigned int16, EPSG:32649, 10980x10980 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>B3</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32649</span></li><li><label class='ee-shut'>crs_transform: [10, 0, 699960, 0, -10, 2500020]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span 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class='ee-v'>10980</span></li></ul></li></ul></li><li><label class='ee-shut'>3: \"B4\", unsigned int16, EPSG:32649, 10980x10980 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>B4</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32649</span></li><li><label class='ee-shut'>crs_transform: [10, 0, 699960, 0, -10, 2500020]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>10</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>699960</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>-10</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2500020</span></li></ul></li><li><label class='ee-shut'>data_type: unsigned int16<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>65535</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [10980, 10980]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>10980</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>10980</span></li></ul></li></ul></li><li><label class='ee-shut'>4: \"B5\", unsigned int16, EPSG:32649, 5490x5490 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>B5</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32649</span></li><li><label class='ee-shut'>crs_transform: [20, 0, 699960, 0, -20, 2500020]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>20</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>699960</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>-20</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2500020</span></li></ul></li><li><label class='ee-shut'>data_type: unsigned int16<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>65535</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [5490, 5490]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>5490</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>5490</span></li></ul></li></ul></li><li><label class='ee-shut'>5: \"B6\", unsigned int16, EPSG:32649, 5490x5490 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>B6</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32649</span></li><li><label class='ee-shut'>crs_transform: [20, 0, 699960, 0, -20, 2500020]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>20</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>699960</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>-20</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2500020</span></li></ul></li><li><label class='ee-shut'>data_type: unsigned int16<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>65535</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [5490, 5490]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>5490</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>5490</span></li></ul></li></ul></li><li><label class='ee-shut'>6: \"B7\", unsigned int16, EPSG:32649, 5490x5490 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>B7</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32649</span></li><li><label class='ee-shut'>crs_transform: [20, 0, 699960, 0, -20, 2500020]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>20</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>699960</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>-20</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2500020</span></li></ul></li><li><label class='ee-shut'>data_type: unsigned int16<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>65535</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [5490, 5490]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>5490</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>5490</span></li></ul></li></ul></li><li><label class='ee-shut'>7: \"B8\", unsigned int16, EPSG:32649, 10980x10980 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>B8</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32649</span></li><li><label class='ee-shut'>crs_transform: [10, 0, 699960, 0, -10, 2500020]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>10</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>699960</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>-10</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2500020</span></li></ul></li><li><label class='ee-shut'>data_type: unsigned int16<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>65535</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [10980, 10980]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>10980</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>10980</span></li></ul></li></ul></li><li><label class='ee-shut'>8: \"B8A\", unsigned int16, EPSG:32649, 5490x5490 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>B8A</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32649</span></li><li><label class='ee-shut'>crs_transform: [20, 0, 699960, 0, -20, 2500020]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>20</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>699960</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>-20</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2500020</span></li></ul></li><li><label class='ee-shut'>data_type: unsigned int16<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>65535</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [5490, 5490]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>5490</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>5490</span></li></ul></li></ul></li><li><label class='ee-shut'>9: \"B9\", unsigned int16, EPSG:32649, 1830x1830 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>B9</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32649</span></li><li><label class='ee-shut'>crs_transform: [60, 0, 699960, 0, -60, 2500020]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>60</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>699960</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>-60</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2500020</span></li></ul></li><li><label class='ee-shut'>data_type: unsigned int16<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>65535</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [1830, 1830]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>1830</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>1830</span></li></ul></li></ul></li><li><label class='ee-shut'>10: \"B10\", unsigned int16, EPSG:32649, 1830x1830 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>B10</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32649</span></li><li><label class='ee-shut'>crs_transform: [60, 0, 699960, 0, -60, 2500020]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>60</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>699960</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>-60</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2500020</span></li></ul></li><li><label class='ee-shut'>data_type: unsigned int16<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>65535</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [1830, 1830]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>1830</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>1830</span></li></ul></li></ul></li><li><label class='ee-shut'>11: \"B11\", unsigned int16, EPSG:32649, 5490x5490 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>B11</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32649</span></li><li><label class='ee-shut'>crs_transform: [20, 0, 699960, 0, -20, 2500020]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>20</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>699960</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>-20</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2500020</span></li></ul></li><li><label class='ee-shut'>data_type: unsigned int16<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>65535</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [5490, 5490]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>5490</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>5490</span></li></ul></li></ul></li><li><label class='ee-shut'>12: \"B12\", unsigned int16, EPSG:32649, 5490x5490 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>B12</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32649</span></li><li><label class='ee-shut'>crs_transform: [20, 0, 699960, 0, -20, 2500020]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>20</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>699960</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>-20</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2500020</span></li></ul></li><li><label class='ee-shut'>data_type: unsigned int16<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>65535</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [5490, 5490]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>5490</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>5490</span></li></ul></li></ul></li><li><label class='ee-shut'>13: \"QA10\", unsigned int16, EPSG:32649, 10980x10980 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>QA10</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32649</span></li><li><label class='ee-shut'>crs_transform: [10, 0, 699960, 0, -10, 2500020]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>10</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>699960</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>-10</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2500020</span></li></ul></li><li><label class='ee-shut'>data_type: unsigned int16<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>65535</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [10980, 10980]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>10980</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>10980</span></li></ul></li></ul></li><li><label class='ee-shut'>14: \"QA20\", unsigned int32, EPSG:32649, 5490x5490 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>QA20</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32649</span></li><li><label class='ee-shut'>crs_transform: [20, 0, 699960, 0, -20, 2500020]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>20</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>699960</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>-20</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2500020</span></li></ul></li><li><label class='ee-shut'>data_type: unsigned int32<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>4294967295</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [5490, 5490]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>5490</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>5490</span></li></ul></li></ul></li><li><label class='ee-shut'>15: \"QA60\", unsigned int16, EPSG:32649, 1830x1830 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>QA60</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32649</span></li><li><label class='ee-shut'>crs_transform: [60, 0, 699960, 0, -60, 2500020]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>60</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>699960</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>-60</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2500020</span></li></ul></li><li><label class='ee-shut'>data_type: unsigned int16<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>65535</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [1830, 1830]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>1830</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>1830</span></li></ul></li></ul></li><li><label class='ee-shut'>16: \"cloudmask\", int ∈ [0, 1], EPSG:32649, 5490x5490 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>cloudmask</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32649</span></li><li><label class='ee-shut'>crs_transform: [20, 0, 699960, 0, 20, 2500020]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>20</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>699960</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>20</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2500020</span></li></ul></li><li><label class='ee-shut'>data_type: int ∈ [0, 1]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>1</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [5490, 5490]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>5490</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>5490</span></li></ul></li><li><label class='ee-shut'>origin: [0, -5490]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>-5490</span></li></ul></li></ul></li></ul></li><li><label class='ee-shut'>properties: Object (68 properties)<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>CLOUDY_PIXEL_PERCENTAGE:</span><span class='ee-v'>0.0039</span></li><li><span class='ee-k'>CLOUD_COVERAGE_ASSESSMENT:</span><span class='ee-v'>0.0039</span></li><li><span class='ee-k'>DATASTRIP_ID:</span><span class='ee-v'>S2B_OPER_MSI_L1C_DS_SGS__20180115T081848_S20180115T030946_N02.06</span></li><li><span class='ee-k'>DATATAKE_IDENTIFIER:</span><span class='ee-v'>GS2B_20180115T030049_004491_N02.06</span></li><li><span class='ee-k'>DATATAKE_TYPE:</span><span class='ee-v'>INS-NOBS</span></li><li><span class='ee-k'>DEGRADED_MSI_DATA_PERCENTAGE:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>FORMAT_CORRECTNESS:</span><span class='ee-v'>PASSED</span></li><li><span class='ee-k'>GENERAL_QUALITY:</span><span class='ee-v'>PASSED</span></li><li><span class='ee-k'>GENERATION_TIME:</span><span class='ee-v'>1516004328000</span></li><li><span class='ee-k'>GEOMETRIC_QUALITY:</span><span class='ee-v'>PASSED</span></li><li><span class='ee-k'>GRANULE_ID:</span><span class='ee-v'>L1C_T49QGE_A004491_20180115T030946</span></li><li><span class='ee-k'>MEAN_INCIDENCE_AZIMUTH_ANGLE_B1:</span><span class='ee-v'>243.402196879</span></li><li><span class='ee-k'>MEAN_INCIDENCE_AZIMUTH_ANGLE_B10:</span><span class='ee-v'>244.564477653</span></li><li><span class='ee-k'>MEAN_INCIDENCE_AZIMUTH_ANGLE_B11:</span><span class='ee-v'>243.706677507</span></li><li><span class='ee-k'>MEAN_INCIDENCE_AZIMUTH_ANGLE_B12:</span><span class='ee-v'>243.265169844</span></li><li><span class='ee-k'>MEAN_INCIDENCE_AZIMUTH_ANGLE_B2:</span><span class='ee-v'>247.526714498</span></li><li><span class='ee-k'>MEAN_INCIDENCE_AZIMUTH_ANGLE_B3:</span><span class='ee-v'>245.54882319</span></li><li><span class='ee-k'>MEAN_INCIDENCE_AZIMUTH_ANGLE_B4:</span><span class='ee-v'>244.418814077</span></li><li><span class='ee-k'>MEAN_INCIDENCE_AZIMUTH_ANGLE_B5:</span><span class='ee-v'>243.978964547</span></li><li><span class='ee-k'>MEAN_INCIDENCE_AZIMUTH_ANGLE_B6:</span><span class='ee-v'>243.652754259</span></li><li><span class='ee-k'>MEAN_INCIDENCE_AZIMUTH_ANGLE_B7:</span><span class='ee-v'>243.490524128</span></li><li><span class='ee-k'>MEAN_INCIDENCE_AZIMUTH_ANGLE_B8:</span><span class='ee-v'>246.430392584</span></li><li><span class='ee-k'>MEAN_INCIDENCE_AZIMUTH_ANGLE_B8A:</span><span class='ee-v'>243.299146323</span></li><li><span class='ee-k'>MEAN_INCIDENCE_AZIMUTH_ANGLE_B9:</span><span class='ee-v'>243.290428258</span></li><li><span class='ee-k'>MEAN_INCIDENCE_ZENITH_ANGLE_B1:</span><span class='ee-v'>4.25230719379</span></li><li><span class='ee-k'>MEAN_INCIDENCE_ZENITH_ANGLE_B10:</span><span class='ee-v'>3.87355180941</span></li><li><span class='ee-k'>MEAN_INCIDENCE_ZENITH_ANGLE_B11:</span><span class='ee-v'>4.01831249481</span></li><li><span class='ee-k'>MEAN_INCIDENCE_ZENITH_ANGLE_B12:</span><span class='ee-v'>4.19283596068</span></li><li><span class='ee-k'>MEAN_INCIDENCE_ZENITH_ANGLE_B2:</span><span class='ee-v'>3.70138409819</span></li><li><span class='ee-k'>MEAN_INCIDENCE_ZENITH_ANGLE_B3:</span><span class='ee-v'>3.79964269662</span></li><li><span class='ee-k'>MEAN_INCIDENCE_ZENITH_ANGLE_B4:</span><span class='ee-v'>3.90127685045</span></li><li><span class='ee-k'>MEAN_INCIDENCE_ZENITH_ANGLE_B5:</span><span class='ee-v'>3.96265315661</span></li><li><span class='ee-k'>MEAN_INCIDENCE_ZENITH_ANGLE_B6:</span><span class='ee-v'>4.02787925289</span></li><li><span class='ee-k'>MEAN_INCIDENCE_ZENITH_ANGLE_B7:</span><span class='ee-v'>4.09684779165</span></li><li><span 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class='ee-shut'>system:footprint: LinearRing (21 vertices)<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>LinearRing</span></li><li><label class='ee-shut'>coordinates: List (21 elements)<input type='checkbox' class='ee-toggle'></label><ul><li><label class='ee-shut'>0: [112.94511767076526, 22.595230551927]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>112.94511767076526</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.595230551927</span></li></ul></li><li><label class='ee-shut'>1: [112.94511448912829, 22.59521585804072]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>112.94511448912829</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.59521585804072</span></li></ul></li><li><label class='ee-shut'>2: [112.93824612529045, 22.099563038457298]<input type='checkbox' 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class='ee-k'>system:asset_size:</span><span class='ee-v'>1058442857</span></li><li><label class='ee-shut'>system:footprint: LinearRing (21 vertices)<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>LinearRing</span></li><li><label class='ee-shut'>coordinates: List (21 elements)<input type='checkbox' class='ee-toggle'></label><ul><li><label class='ee-shut'>0: [112.94506967349763, 22.595276331822856]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>112.94506967349763</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.595276331822856</span></li></ul></li><li><label class='ee-shut'>1: [112.94506649186049, 22.595261552216964]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>112.94506649186049</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.595261552216964</span></li></ul></li><li><label 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22.5788193820741]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.01220351742116</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.5788193820741</span></li></ul></li><li><label class='ee-shut'>16: [114.01217084958581, 22.57886570466205]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.01217084958581</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.57886570466205</span></li></ul></li><li><label class='ee-shut'>17: [114.01215487864324, 22.578868823601777]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.01215487864324</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.578868823601777</span></li></ul></li><li><label class='ee-shut'>18: [112.94516512260672, 22.595342827924874]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span 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class='ee-v'>1515985786620</span></li></ul></li></ul></li></ul></div><script>function toggleHeader() {\n",
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              "\n",
              "for (let c of document.getElementsByClassName(\"ee-toggle\")) {\n",
              "    c.onclick = toggleHeader;\n",
              "}</script></div>"
            ]
          },
          "metadata": {},
          "execution_count": 98
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "s2_cloudless_all.first()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 173
        },
        "id": "X_X1roC1H5c-",
        "outputId": "7f0a0425-1d47-42e0-932c-09de20360a83"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "            </style>\n",
              "            "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "execute_result",
          "data": {
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              "html[theme=\"dark\"],\n",
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              "  --font-color-primary: rgba(255, 255, 255, 1);\n",
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              ".ee-open,\n",
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              "\n",
              ".ee-open:hover,\n",
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              ".ee-k {\n",
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class='ee-k'>0:</span><span class='ee-v'>60</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>199980</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>-60</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2600040</span></li></ul></li><li><label class='ee-shut'>data_type: unsigned int16<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>65535</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [1830, 1830]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>1830</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>1830</span></li></ul></li></ul></li><li><label class='ee-shut'>1: \"B2\", unsigned int16, EPSG:32650, 10980x10980 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>B2</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32650</span></li><li><label class='ee-shut'>crs_transform: [10, 0, 199980, 0, -10, 2600040]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>10</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>199980</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>-10</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2600040</span></li></ul></li><li><label class='ee-shut'>data_type: unsigned int16<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>65535</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [10980, 10980]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>10980</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>10980</span></li></ul></li></ul></li><li><label class='ee-shut'>2: \"B3\", unsigned int16, EPSG:32650, 10980x10980 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>B3</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32650</span></li><li><label class='ee-shut'>crs_transform: [10, 0, 199980, 0, -10, 2600040]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>10</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>199980</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>-10</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2600040</span></li></ul></li><li><label class='ee-shut'>data_type: unsigned int16<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>65535</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [10980, 10980]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>10980</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>10980</span></li></ul></li></ul></li><li><label class='ee-shut'>3: \"B4\", unsigned int16, EPSG:32650, 10980x10980 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>B4</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32650</span></li><li><label class='ee-shut'>crs_transform: [10, 0, 199980, 0, -10, 2600040]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>10</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>199980</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>-10</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2600040</span></li></ul></li><li><label class='ee-shut'>data_type: unsigned int16<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>65535</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [10980, 10980]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>10980</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>10980</span></li></ul></li></ul></li><li><label class='ee-shut'>4: \"B5\", unsigned int16, EPSG:32650, 5490x5490 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>B5</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32650</span></li><li><label class='ee-shut'>crs_transform: [20, 0, 199980, 0, -20, 2600040]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>20</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>199980</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>-20</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2600040</span></li></ul></li><li><label class='ee-shut'>data_type: unsigned int16<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>65535</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [5490, 5490]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>5490</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>5490</span></li></ul></li></ul></li><li><label class='ee-shut'>5: \"B6\", unsigned int16, EPSG:32650, 5490x5490 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>B6</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32650</span></li><li><label class='ee-shut'>crs_transform: [20, 0, 199980, 0, -20, 2600040]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>20</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>199980</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>-20</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2600040</span></li></ul></li><li><label class='ee-shut'>data_type: unsigned int16<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>65535</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [5490, 5490]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>5490</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>5490</span></li></ul></li></ul></li><li><label class='ee-shut'>6: \"B7\", unsigned int16, EPSG:32650, 5490x5490 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>B7</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32650</span></li><li><label class='ee-shut'>crs_transform: [20, 0, 199980, 0, -20, 2600040]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>20</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>199980</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>-20</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2600040</span></li></ul></li><li><label class='ee-shut'>data_type: unsigned int16<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>65535</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [5490, 5490]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>5490</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>5490</span></li></ul></li></ul></li><li><label class='ee-shut'>7: \"B8\", unsigned int16, EPSG:32650, 10980x10980 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>B8</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32650</span></li><li><label class='ee-shut'>crs_transform: [10, 0, 199980, 0, -10, 2600040]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>10</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>199980</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>-10</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2600040</span></li></ul></li><li><label class='ee-shut'>data_type: unsigned int16<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>65535</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [10980, 10980]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>10980</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>10980</span></li></ul></li></ul></li><li><label class='ee-shut'>8: \"B8A\", unsigned int16, EPSG:32650, 5490x5490 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>B8A</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32650</span></li><li><label class='ee-shut'>crs_transform: [20, 0, 199980, 0, -20, 2600040]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>20</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>199980</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>-20</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2600040</span></li></ul></li><li><label class='ee-shut'>data_type: unsigned int16<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>65535</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [5490, 5490]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>5490</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>5490</span></li></ul></li></ul></li><li><label class='ee-shut'>9: \"B9\", unsigned int16, EPSG:32650, 1830x1830 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>B9</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32650</span></li><li><label class='ee-shut'>crs_transform: [60, 0, 199980, 0, -60, 2600040]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>60</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>199980</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>-60</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2600040</span></li></ul></li><li><label class='ee-shut'>data_type: unsigned int16<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>65535</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [1830, 1830]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>1830</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>1830</span></li></ul></li></ul></li><li><label class='ee-shut'>10: \"B10\", unsigned int16, EPSG:32650, 1830x1830 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>B10</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32650</span></li><li><label class='ee-shut'>crs_transform: [60, 0, 199980, 0, -60, 2600040]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>60</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>199980</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>-60</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2600040</span></li></ul></li><li><label class='ee-shut'>data_type: unsigned int16<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>65535</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [1830, 1830]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>1830</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>1830</span></li></ul></li></ul></li><li><label class='ee-shut'>11: \"B11\", unsigned int16, EPSG:32650, 5490x5490 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>B11</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32650</span></li><li><label class='ee-shut'>crs_transform: [20, 0, 199980, 0, -20, 2600040]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>20</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>199980</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>-20</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2600040</span></li></ul></li><li><label class='ee-shut'>data_type: unsigned int16<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>65535</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [5490, 5490]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>5490</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>5490</span></li></ul></li></ul></li><li><label class='ee-shut'>12: \"B12\", unsigned int16, EPSG:32650, 5490x5490 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>B12</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32650</span></li><li><label class='ee-shut'>crs_transform: [20, 0, 199980, 0, -20, 2600040]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>20</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>199980</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>-20</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2600040</span></li></ul></li><li><label class='ee-shut'>data_type: unsigned int16<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>65535</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [5490, 5490]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>5490</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>5490</span></li></ul></li></ul></li><li><label class='ee-shut'>13: \"QA10\", unsigned int16, EPSG:32650, 10980x10980 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>QA10</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32650</span></li><li><label class='ee-shut'>crs_transform: [10, 0, 199980, 0, -10, 2600040]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>10</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>199980</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>-10</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2600040</span></li></ul></li><li><label class='ee-shut'>data_type: unsigned int16<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>65535</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [10980, 10980]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>10980</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>10980</span></li></ul></li></ul></li><li><label class='ee-shut'>14: \"QA20\", unsigned int32, EPSG:32650, 5490x5490 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>QA20</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32650</span></li><li><label class='ee-shut'>crs_transform: [20, 0, 199980, 0, -20, 2600040]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>20</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>199980</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>-20</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2600040</span></li></ul></li><li><label class='ee-shut'>data_type: unsigned int32<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>4294967295</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [5490, 5490]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>5490</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>5490</span></li></ul></li></ul></li><li><label class='ee-shut'>15: \"QA60\", unsigned int16, EPSG:32650, 1830x1830 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>QA60</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32650</span></li><li><label class='ee-shut'>crs_transform: [60, 0, 199980, 0, -60, 2600040]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>60</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>199980</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>-60</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2600040</span></li></ul></li><li><label class='ee-shut'>data_type: unsigned int16<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>65535</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [1830, 1830]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>1830</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>1830</span></li></ul></li></ul></li><li><label class='ee-shut'>16: \"cloudmask\", int ∈ [0, 1], EPSG:32650, 5490x5490 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>cloudmask</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32650</span></li><li><label class='ee-shut'>crs_transform: [20, 0, 199980, 0, 20, 2600040]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>20</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>199980</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>20</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2600040</span></li></ul></li><li><label class='ee-shut'>data_type: int ∈ [0, 1]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>1</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [5490, 5490]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>5490</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>5490</span></li></ul></li><li><label class='ee-shut'>origin: [0, -5490]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>-5490</span></li></ul></li></ul></li></ul></li><li><label class='ee-shut'>properties: Object (68 properties)<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>CLOUDY_PIXEL_PERCENTAGE:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>CLOUD_COVERAGE_ASSESSMENT:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>DATASTRIP_ID:</span><span class='ee-v'>S2A_OPER_MSI_L1C_DS_SGS__20180110T062928_S20180110T031124_N02.06</span></li><li><span class='ee-k'>DATATAKE_IDENTIFIER:</span><span class='ee-v'>GS2A_20180110T031121_013328_N02.06</span></li><li><span class='ee-k'>DATATAKE_TYPE:</span><span class='ee-v'>INS-NOBS</span></li><li><span class='ee-k'>DEGRADED_MSI_DATA_PERCENTAGE:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>FORMAT_CORRECTNESS:</span><span class='ee-v'>PASSED</span></li><li><span class='ee-k'>GENERAL_QUALITY:</span><span class='ee-v'>PASSED</span></li><li><span class='ee-k'>GENERATION_TIME:</span><span class='ee-v'>1515565768000</span></li><li><span class='ee-k'>GEOMETRIC_QUALITY:</span><span class='ee-v'>PASSED</span></li><li><span class='ee-k'>GRANULE_ID:</span><span class='ee-v'>L1C_T50QKL_A013328_20180110T031124</span></li><li><span class='ee-k'>MEAN_INCIDENCE_AZIMUTH_ANGLE_B1:</span><span class='ee-v'>281.708583496</span></li><li><span class='ee-k'>MEAN_INCIDENCE_AZIMUTH_ANGLE_B10:</span><span class='ee-v'>282.582384121</span></li><li><span class='ee-k'>MEAN_INCIDENCE_AZIMUTH_ANGLE_B11:</span><span class='ee-v'>282.209249084</span></li><li><span class='ee-k'>MEAN_INCIDENCE_AZIMUTH_ANGLE_B12:</span><span class='ee-v'>281.828629256</span></li><li><span class='ee-k'>MEAN_INCIDENCE_AZIMUTH_ANGLE_B2:</span><span class='ee-v'>283.196121733</span></li><li><span class='ee-k'>MEAN_INCIDENCE_AZIMUTH_ANGLE_B3:</span><span class='ee-v'>282.861431467</span></li><li><span class='ee-k'>MEAN_INCIDENCE_AZIMUTH_ANGLE_B4:</span><span class='ee-v'>282.557292765</span></li><li><span class='ee-k'>MEAN_INCIDENCE_AZIMUTH_ANGLE_B5:</span><span class='ee-v'>282.387717454</span></li><li><span class='ee-k'>MEAN_INCIDENCE_AZIMUTH_ANGLE_B6:</span><span class='ee-v'>282.231477528</span></li><li><span class='ee-k'>MEAN_INCIDENCE_AZIMUTH_ANGLE_B7:</span><span class='ee-v'>282.065470542</span></li><li><span class='ee-k'>MEAN_INCIDENCE_AZIMUTH_ANGLE_B8:</span><span class='ee-v'>283.028729365</span></li><li><span class='ee-k'>MEAN_INCIDENCE_AZIMUTH_ANGLE_B8A:</span><span class='ee-v'>281.912730877</span></li><li><span class='ee-k'>MEAN_INCIDENCE_AZIMUTH_ANGLE_B9:</span><span class='ee-v'>281.552392971</span></li><li><span class='ee-k'>MEAN_INCIDENCE_ZENITH_ANGLE_B1:</span><span class='ee-v'>8.80605948923</span></li><li><span class='ee-k'>MEAN_INCIDENCE_ZENITH_ANGLE_B10:</span><span class='ee-v'>8.67977118537</span></li><li><span class='ee-k'>MEAN_INCIDENCE_ZENITH_ANGLE_B11:</span><span class='ee-v'>8.72559675776</span></li><li><span class='ee-k'>MEAN_INCIDENCE_ZENITH_ANGLE_B12:</span><span class='ee-v'>8.78413822686</span></li><li><span class='ee-k'>MEAN_INCIDENCE_ZENITH_ANGLE_B2:</span><span class='ee-v'>8.63802928267</span></li><li><span class='ee-k'>MEAN_INCIDENCE_ZENITH_ANGLE_B3:</span><span class='ee-v'>8.66024847799</span></li><li><span class='ee-k'>MEAN_INCIDENCE_ZENITH_ANGLE_B4:</span><span class='ee-v'>8.68889415146</span></li><li><span class='ee-k'>MEAN_INCIDENCE_ZENITH_ANGLE_B5:</span><span class='ee-v'>8.7077037913</span></li><li><span class='ee-k'>MEAN_INCIDENCE_ZENITH_ANGLE_B6:</span><span class='ee-v'>8.7287918049</span></li><li><span class='ee-k'>MEAN_INCIDENCE_ZENITH_ANGLE_B7:</span><span class='ee-v'>8.75218796083</span></li><li><span class='ee-k'>MEAN_INCIDENCE_ZENITH_ANGLE_B8:</span><span class='ee-v'>8.64796819232</span></li><li><span class='ee-k'>MEAN_INCIDENCE_ZENITH_ANGLE_B8A:</span><span class='ee-v'>8.77773981345</span></li><li><span class='ee-k'>MEAN_INCIDENCE_ZENITH_ANGLE_B9:</span><span class='ee-v'>8.83687101239</span></li><li><span class='ee-k'>MEAN_SOLAR_AZIMUTH_ANGLE:</span><span class='ee-v'>155.838841169</span></li><li><span class='ee-k'>MEAN_SOLAR_ZENITH_ANGLE:</span><span class='ee-v'>48.7701394493</span></li><li><span class='ee-k'>MGRS_TILE:</span><span class='ee-v'>50QKL</span></li><li><span class='ee-k'>PROCESSING_BASELINE:</span><span class='ee-v'>02.06</span></li><li><span class='ee-k'>PRODUCT_ID:</span><span class='ee-v'>S2A_MSIL1C_20180110T031121_N0206_R032_T50QKL_20180110T062928</span></li><li><span class='ee-k'>RADIOMETRIC_QUALITY:</span><span class='ee-v'>PASSED</span></li><li><span class='ee-k'>REFLECTANCE_CONVERSION_CORRECTION:</span><span class='ee-v'>1.03426772459</span></li><li><span class='ee-k'>SENSING_ORBIT_DIRECTION:</span><span class='ee-v'>DESCENDING</span></li><li><span class='ee-k'>SENSING_ORBIT_NUMBER:</span><span class='ee-v'>32</span></li><li><span class='ee-k'>SENSOR_QUALITY:</span><span class='ee-v'>PASSED</span></li><li><span class='ee-k'>SOLAR_IRRADIANCE_B1:</span><span class='ee-v'>1913.57</span></li><li><span class='ee-k'>SOLAR_IRRADIANCE_B10:</span><span class='ee-v'>367.15</span></li><li><span class='ee-k'>SOLAR_IRRADIANCE_B11:</span><span class='ee-v'>245.59</span></li><li><span class='ee-k'>SOLAR_IRRADIANCE_B12:</span><span class='ee-v'>85.25</span></li><li><span class='ee-k'>SOLAR_IRRADIANCE_B2:</span><span class='ee-v'>1941.63</span></li><li><span class='ee-k'>SOLAR_IRRADIANCE_B3:</span><span class='ee-v'>1822.61</span></li><li><span class='ee-k'>SOLAR_IRRADIANCE_B4:</span><span class='ee-v'>1512.79</span></li><li><span class='ee-k'>SOLAR_IRRADIANCE_B5:</span><span class='ee-v'>1425.56</span></li><li><span class='ee-k'>SOLAR_IRRADIANCE_B6:</span><span class='ee-v'>1288.32</span></li><li><span class='ee-k'>SOLAR_IRRADIANCE_B7:</span><span class='ee-v'>1163.19</span></li><li><span class='ee-k'>SOLAR_IRRADIANCE_B8:</span><span class='ee-v'>1036.39</span></li><li><span class='ee-k'>SOLAR_IRRADIANCE_B8A:</span><span class='ee-v'>955.19</span></li><li><span class='ee-k'>SOLAR_IRRADIANCE_B9:</span><span class='ee-v'>813.04</span></li><li><span class='ee-k'>SPACECRAFT_NAME:</span><span class='ee-v'>Sentinel-2A</span></li><li><span class='ee-k'>quality_check:</span><span class='ee-v'>PASSED</span></li><li><label class='ee-shut'>s2cloudless: Image COPERNICUS/S2_CLOUD_PROBABILITY/20180110T031121_20180110T031124_T50QKL (1 band)<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>Image</span></li><li><span class='ee-k'>id:</span><span class='ee-v'>COPERNICUS/S2_CLOUD_PROBABILITY/20180110T031121_20180110T031124_T50QKL</span></li><li><span class='ee-k'>version:</span><span class='ee-v'>1584859242443324</span></li><li><label class='ee-shut'>bands: List (1 element)<input type='checkbox' class='ee-toggle'></label><ul><li><label class='ee-shut'>0: \"probability\", unsigned int8, EPSG:32650, 10980x10980 px<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>id:</span><span class='ee-v'>probability</span></li><li><span class='ee-k'>crs:</span><span class='ee-v'>EPSG:32650</span></li><li><label class='ee-shut'>crs_transform: [10, 0, 199980, 0, -10, 2600040]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>10</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>2:</span><span class='ee-v'>199980</span></li><li><span class='ee-k'>3:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>4:</span><span class='ee-v'>-10</span></li><li><span class='ee-k'>5:</span><span class='ee-v'>2600040</span></li></ul></li><li><label class='ee-shut'>data_type: unsigned int8<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>PixelType</span></li><li><span class='ee-k'>max:</span><span class='ee-v'>255</span></li><li><span class='ee-k'>min:</span><span class='ee-v'>0</span></li><li><span class='ee-k'>precision:</span><span class='ee-v'>int</span></li></ul></li><li><label class='ee-shut'>dimensions: [10980, 10980]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>10980</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>10980</span></li></ul></li></ul></li></ul></li><li><label class='ee-shut'>properties: Object (5 properties)<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>system:asset_size:</span><span class='ee-v'>1514956</span></li><li><label class='ee-shut'>system:footprint: LinearRing (21 vertices)<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>LinearRing</span></li><li><label class='ee-shut'>coordinates: List (21 elements)<input type='checkbox' class='ee-toggle'></label><ul><li><label class='ee-shut'>0: [115.13713626309666, 23.49945743455811]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>115.13713626309666</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>23.49945743455811</span></li></ul></li><li><label class='ee-shut'>1: [115.13712015814733, 23.49946002861172]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>115.13712015814733</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>23.49946002861172</span></li></ul></li><li><label class='ee-shut'>2: [114.06282557805257, 23.48290567406296]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.06282557805257</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>23.48290567406296</span></li></ul></li><li><label class='ee-shut'>3: [114.06278111832383, 23.482868228670355]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.06278111832383</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>23.482868228670355</span></li></ul></li><li><label class='ee-shut'>4: [114.06273203114894, 23.482836221417443]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.06273203114894</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>23.482836221417443</span></li></ul></li><li><label class='ee-shut'>5: [114.0627293091243, 23.4828213395178]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.0627293091243</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>23.4828213395178</span></li></ul></li><li><label class='ee-shut'>6: [114.06818049420608, 23.23520630286338]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.06818049420608</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>23.23520630286338</span></li></ul></li><li><label class='ee-shut'>7: [114.0735571237927, 22.98758971208943]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.0735571237927</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.98758971208943</span></li></ul></li><li><label class='ee-shut'>8: [114.07885983547673, 22.739964316443682]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.07885983547673</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.739964316443682</span></li></ul></li><li><label class='ee-shut'>9: [114.08408926679672, 22.492329960192]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.08408926679672</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.492329960192</span></li></ul></li><li><label class='ee-shut'>10: [114.08412973234749, 22.49228923459167]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.08412973234749</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.49228923459167</span></li></ul></li><li><label class='ee-shut'>11: [114.08416439117961, 22.49224414451009]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.08416439117961</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.49224414451009</span></li></ul></li><li><label class='ee-shut'>12: [114.08418045037581, 22.492241607284246]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.08418045037581</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.492241607284246</span></li></ul></li><li><label class='ee-shut'>13: [115.15067535384603, 22.508021300311974]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>115.15067535384603</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.508021300311974</span></li></ul></li><li><label class='ee-shut'>14: [115.15071968582004, 22.508058394343536]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>115.15071968582004</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.508058394343536</span></li></ul></li><li><label class='ee-shut'>15: [115.15076881287794, 22.508090034935226]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>115.15076881287794</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.508090034935226</span></li></ul></li><li><label class='ee-shut'>16: [115.15077161755322, 22.50810489565719]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>115.15077161755322</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.50810489565719</span></li></ul></li><li><label class='ee-shut'>17: [115.14408520196271, 23.00375821422064]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>115.14408520196271</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>23.00375821422064</span></li></ul></li><li><label class='ee-shut'>18: [115.13721126872092, 23.499371106577126]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>115.13721126872092</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>23.499371106577126</span></li></ul></li><li><label class='ee-shut'>19: [115.13717082540099, 23.499412151588746]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>115.13717082540099</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>23.499412151588746</span></li></ul></li><li><label class='ee-shut'>20: [115.13713626309666, 23.49945743455811]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>115.13713626309666</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>23.49945743455811</span></li></ul></li></ul></li></ul></li><li><span class='ee-k'>system:index:</span><span class='ee-v'>20180110T031121_20180110T031124_T50QKL</span></li><li><span class='ee-k'>system:time_end:</span><span class='ee-v'>1515640281000</span></li><li><span class='ee-k'>system:time_start:</span><span class='ee-v'>1515553881000</span></li></ul></li></ul></li><li><span class='ee-k'>system:asset_size:</span><span class='ee-v'>28496532</span></li><li><label class='ee-shut'>system:footprint: LinearRing (20 vertices)<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>type:</span><span class='ee-v'>LinearRing</span></li><li><label class='ee-shut'>coordinates: List (20 elements)<input type='checkbox' class='ee-toggle'></label><ul><li><label class='ee-shut'>0: [114.48126813926841, 22.499604297689583]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.48126813926841</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.499604297689583</span></li></ul></li><li><label class='ee-shut'>1: [114.48124602190408, 22.499613723351665]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.48124602190408</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.499613723351665</span></li></ul></li><li><label class='ee-shut'>2: [114.47860797344723, 22.50038519323798]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.47860797344723</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.50038519323798</span></li></ul></li><li><label class='ee-shut'>3: [114.37665009277772, 22.52827604879251]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.37665009277772</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.52827604879251</span></li></ul></li><li><label class='ee-shut'>4: [114.13694935584756, 22.589175285415145]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.13694935584756</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.589175285415145</span></li></ul></li><li><label class='ee-shut'>5: [114.12287883663093, 22.592714585718863]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.12287883663093</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.592714585718863</span></li></ul></li><li><label class='ee-shut'>6: [114.08857974159893, 22.601302314837415]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.08857974159893</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.601302314837415</span></li></ul></li><li><label class='ee-shut'>7: [114.08213004031255, 22.602810339155663]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.08213004031255</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.602810339155663</span></li></ul></li><li><label class='ee-shut'>8: [114.08210572458435, 22.602812661857406]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.08210572458435</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.602812661857406</span></li></ul></li><li><label class='ee-shut'>9: [114.08181420793629, 22.60280743688408]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.08181420793629</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.60280743688408</span></li></ul></li><li><label class='ee-shut'>10: [114.08171821517436, 22.60273610613278]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.08171821517436</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.60273610613278</span></li></ul></li><li><label class='ee-shut'>11: [114.08403791364864, 22.492464413320224]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.08403791364864</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.492464413320224</span></li></ul></li><li><label class='ee-shut'>12: [114.08411512482846, 22.49237579732692]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.08411512482846</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.49237579732692</span></li></ul></li><li><label class='ee-shut'>13: [114.47996593200898, 22.499057226158357]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.47996593200898</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.499057226158357</span></li></ul></li><li><label class='ee-shut'>14: [114.4812307029092, 22.499167546264303]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.4812307029092</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.499167546264303</span></li></ul></li><li><label class='ee-shut'>15: [114.48126968023226, 22.49920598303156]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.48126968023226</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.49920598303156</span></li></ul></li><li><label class='ee-shut'>16: [114.48131926300742, 22.499238207372272]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.48131926300742</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.499238207372272</span></li></ul></li><li><label class='ee-shut'>17: [114.48131400560193, 22.499529422093264]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.48131400560193</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.499529422093264</span></li></ul></li><li><label class='ee-shut'>18: [114.48128182665307, 22.499561973105617]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.48128182665307</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.499561973105617</span></li></ul></li><li><label class='ee-shut'>19: [114.48126813926841, 22.499604297689583]<input type='checkbox' class='ee-toggle'></label><ul><li><span class='ee-k'>0:</span><span class='ee-v'>114.48126813926841</span></li><li><span class='ee-k'>1:</span><span class='ee-v'>22.499604297689583</span></li></ul></li></ul></li></ul></li><li><span class='ee-k'>system:index:</span><span class='ee-v'>20180110T031121_20180110T031124_T50QKL</span></li><li><span class='ee-k'>system:time_end:</span><span class='ee-v'>1515553884460</span></li><li><span class='ee-k'>system:time_start:</span><span class='ee-v'>1515553884460</span></li></ul></li></ul></li></ul></div><script>function toggleHeader() {\n",
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            ]
          },
          "metadata": {},
          "execution_count": 99
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "vis_params = {\"min\": 0, \"max\": 3000, \"bands\": ['B4', 'B3', 'B2']}\n",
        "# Map.addLayer(s2_cloudless_left.first(), vis_params, 'left_first_img')\n",
        "# Map.addLayer(s2_cloudless_right.first(), vis_params, 'right_first_img')\n",
        "Map.addLayer(s2_cloudless_all.first(), vis_params, 'all_first_img')\n",
        "palette = [\n",
        "    'FFFFFF', 'CE7E45', 'DF923D', 'F1B555', 'FCD163', '99B718', '74A901',\n",
        "    '66A000', '529400', '3E8601', '207401', '056201', '004C00', '023B01',\n",
        "    '012E01', '011D01', '011301']\n",
        "Map.addLayer(VHcols1.mean(), {min: -30, max: -4}, 'vhIwAscDescMean');\n",
        "Map.addLayer(ndvi_img.first(), {'palette': palette}, \"NDVI 1999\")\n",
        "# Map.addLayer(ndvi_img_left.first(), {'palette': palette}, \"NDVI Left\")\n",
        "# Map.addLayer(ndvi_img_right.first(), {'palette': palette}, \"NDVI Right\")\n",
        "Map.addLayer(landslide_points, {\"color\": 'black'}, 'Landslide 2019')\n",
        "Map.addLayer(buffered, {\"color\": 'black'}, 'Landslide buffer')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        },
        "id": "TnX6QO3oVjAZ",
        "outputId": "3f63b156-2185-4663-b162-ca12a1afb6d9"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "            </style>\n",
              "            "
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "ndvi_img.first().getInfo()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 555
        },
        "id": "GjqQX-Inj5dd",
        "outputId": "17979ff2-e99a-4744-ac1a-3c47124bbdca"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "            </style>\n",
              "            "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'type': 'Image',\n",
              " 'bands': [{'id': 'nd',\n",
              "   'data_type': {'type': 'PixelType',\n",
              "    'precision': 'float',\n",
              "    'min': -1,\n",
              "    'max': 1},\n",
              "   'dimensions': [10980, 10980],\n",
              "   'crs': 'EPSG:32650',\n",
              "   'crs_transform': [10, 0, 199980, 0, -10, 2600040]}],\n",
              " 'properties': {'system:footprint': {'type': 'LinearRing',\n",
              "   'coordinates': [[114.48126813926841, 22.499604297689583],\n",
              "    [114.48124602190408, 22.499613723351665],\n",
              "    [114.47860797344723, 22.50038519323798],\n",
              "    [114.37665009277772, 22.52827604879251],\n",
              "    [114.13694935584756, 22.589175285415145],\n",
              "    [114.12287883663093, 22.592714585718863],\n",
              "    [114.08857974159893, 22.601302314837415],\n",
              "    [114.08213004031255, 22.602810339155663],\n",
              "    [114.08210572458435, 22.602812661857406],\n",
              "    [114.08181420793629, 22.60280743688408],\n",
              "    [114.08171821517436, 22.60273610613278],\n",
              "    [114.08403791364864, 22.492464413320224],\n",
              "    [114.08411512482846, 22.49237579732692],\n",
              "    [114.47996593200898, 22.499057226158357],\n",
              "    [114.4812307029092, 22.499167546264303],\n",
              "    [114.48126968023226, 22.49920598303156],\n",
              "    [114.48131926300742, 22.499238207372272],\n",
              "    [114.48131400560193, 22.499529422093264],\n",
              "    [114.48128182665307, 22.499561973105617],\n",
              "    [114.48126813926841, 22.499604297689583]]},\n",
              "  'system:index': '20180110T031121_20180110T031124_T50QKL'}}"
            ]
          },
          "metadata": {},
          "execution_count": 120
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "landslide_points = ee.FeatureCollection(\"projects/ee-lfmc/assets/hk_landslide_2019_wgs84\")\n",
        "\n",
        "out_dir = os.path.expanduser('/content/drive/MyDrive/s2_img/')\n",
        "dem_stats = os.path.join(out_dir, 'ndvi_30m_min.csv')\n",
        "geemap.zonal_statistics(ndvi_img, buffered, dem_stats, statistics_type='MINIMUM', scale=10)\n",
        "dem_stats = os.path.join(out_dir, 'ndvi_30m_max.csv')\n",
        "geemap.zonal_statistics(ndvi_img, buffered, dem_stats, statistics_type='MAXIMUM', scale=10)\n",
        "dem_stats = os.path.join(out_dir, 'ndvi_30m_std.csv')\n",
        "geemap.zonal_statistics(ndvi_img, buffered, dem_stats, statistics_type='STD', scale=10)\n",
        "# left_dem_stats = os.path.join(out_dir, 'ndvi_30m_left.csv')\n",
        "# geemap.zonal_statistics(ndvi_img_left, buffered, left_dem_stats, statistics_type='MEAN', scale=10)\n",
        "# right_dem_stats = os.path.join(out_dir, 'ndvi_30m_right.csv')\n",
        "# geemap.zonal_statistics(ndvi_img_right, buffered, right_dem_stats, statistics_type='MEAN', scale=10)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 373
        },
        "id": "R7zDP_tgPoV2",
        "outputId": "fd3efeb7-25f0-4572-ed86-81de5e2110e3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "            </style>\n",
              "            "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Computing statistics ...\n"
          ]
        },
        {
          "output_type": "error",
          "ename": "KeyboardInterrupt",
          "evalue": "",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-94-c5f1412108a7>\u001b[0m in \u001b[0;36m<cell line: 5>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0mout_dir\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexpanduser\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'/content/drive/MyDrive/s2_img/'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0mdem_stats\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mout_dir\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'ndvi_30m_min.csv'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m \u001b[0mgeemap\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mzonal_statistics\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mndvi_img\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbuffered\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdem_stats\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstatistics_type\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'MINIMUM'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mscale\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      6\u001b[0m \u001b[0mdem_stats\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mout_dir\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'ndvi_30m_max.csv'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m \u001b[0mgeemap\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mzonal_statistics\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mndvi_img\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbuffered\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdem_stats\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstatistics_type\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'MAXIMUM'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mscale\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/geemap/common.py\u001b[0m in \u001b[0;36mzonal_stats\u001b[0;34m(in_value_raster, in_zone_vector, out_file_path, stat_type, scale, crs, tile_scale, return_fc, verbose, timeout, proxies, **kwargs)\u001b[0m\n\u001b[1;32m   7037\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   7038\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 7039\u001b[0;31m             \u001b[0mee_export_vector\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfilename\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mproxies\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mproxies\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   7040\u001b[0m     \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   7041\u001b[0m         \u001b[0;32mraise\u001b[0m \u001b[0mException\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0me\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/geemap/common.py\u001b[0m in \u001b[0;36mee_export_vector\u001b[0;34m(ee_object, filename, selectors, verbose, keep_zip, timeout, proxies)\u001b[0m\n\u001b[1;32m   1033\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1034\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mselectors\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1035\u001b[0;31m         \u001b[0mselectors\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mee_object\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfirst\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpropertyNames\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgetInfo\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1036\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mfiletype\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m\"csv\"\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1037\u001b[0m             \u001b[0;31m# remove .geo coordinate field\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/ee/computedobject.py\u001b[0m in \u001b[0;36mgetInfo\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    105\u001b[0m       \u001b[0mThe\u001b[0m \u001b[0mobject\u001b[0m \u001b[0mcan\u001b[0m \u001b[0mevaluate\u001b[0m \u001b[0mto\u001b[0m \u001b[0manything\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    106\u001b[0m     \"\"\"\n\u001b[0;32m--> 107\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcomputeValue\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    108\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    109\u001b[0m   \u001b[0;32mdef\u001b[0m \u001b[0mencode\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mencoder\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mOptional\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mCallable\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m...\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mAny\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mDict\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mstr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mAny\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/ee/data.py\u001b[0m in \u001b[0;36mcomputeValue\u001b[0;34m(obj)\u001b[0m\n\u001b[1;32m   1105\u001b[0m   \u001b[0m_maybe_populate_workload_tag\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbody\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1106\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1107\u001b[0;31m   return _execute_cloud_call(\n\u001b[0m\u001b[1;32m   1108\u001b[0m       \u001b[0m_get_cloud_projects\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1109\u001b[0m       \u001b[0;34m.\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/ee/data.py\u001b[0m in \u001b[0;36m_execute_cloud_call\u001b[0;34m(call, num_retries)\u001b[0m\n\u001b[1;32m    400\u001b[0m   \"\"\"\n\u001b[1;32m    401\u001b[0m   \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 402\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0mcall\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexecute\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnum_retries\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mnum_retries\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    403\u001b[0m   \u001b[0;32mexcept\u001b[0m \u001b[0mgoogleapiclient\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0merrors\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mHttpError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    404\u001b[0m     \u001b[0;32mraise\u001b[0m \u001b[0m_translate_cloud_exception\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0me\u001b[0m\u001b[0;34m)\u001b[0m  \u001b[0;31m# pylint: disable=raise-missing-from\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/googleapiclient/_helpers.py\u001b[0m in \u001b[0;36mpositional_wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    128\u001b[0m                 \u001b[0;32melif\u001b[0m \u001b[0mpositional_parameters_enforcement\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0mPOSITIONAL_WARNING\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    129\u001b[0m                     \u001b[0mlogger\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwarning\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmessage\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 130\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mwrapped\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    131\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    132\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mpositional_wrapper\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/googleapiclient/http.py\u001b[0m in \u001b[0;36mexecute\u001b[0;34m(self, http, num_retries)\u001b[0m\n\u001b[1;32m    921\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    922\u001b[0m         \u001b[0;31m# Handle retries for server-side errors.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 923\u001b[0;31m         resp, content = _retry_request(\n\u001b[0m\u001b[1;32m    924\u001b[0m             \u001b[0mhttp\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    925\u001b[0m             \u001b[0mnum_retries\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/googleapiclient/http.py\u001b[0m in \u001b[0;36m_retry_request\u001b[0;34m(http, num_retries, req_type, sleep, rand, uri, method, *args, **kwargs)\u001b[0m\n\u001b[1;32m    189\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    190\u001b[0m             \u001b[0mexception\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 191\u001b[0;31m             \u001b[0mresp\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcontent\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mhttp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrequest\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0muri\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    192\u001b[0m         \u001b[0;31m# Retry on SSL errors and socket timeout errors.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    193\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0m_ssl_SSLError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mssl_error\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/google_auth_httplib2.py\u001b[0m in \u001b[0;36mrequest\u001b[0;34m(self, uri, method, body, headers, redirections, connection_type, **kwargs)\u001b[0m\n\u001b[1;32m    216\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    217\u001b[0m         \u001b[0;31m# Make the request.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 218\u001b[0;31m         response, content = self.http.request(\n\u001b[0m\u001b[1;32m    219\u001b[0m             \u001b[0muri\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    220\u001b[0m             \u001b[0mmethod\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/ee/_cloud_api_utils.py\u001b[0m in \u001b[0;36mrequest\u001b[0;34m(***failed resolving arguments***)\u001b[0m\n\u001b[1;32m     68\u001b[0m       \u001b[0;31m# requests errors should be converted to kinds that googleapiclient\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     69\u001b[0m       \u001b[0;31m# consider transient.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 70\u001b[0;31m       response = self._session.request(\n\u001b[0m\u001b[1;32m     71\u001b[0m           \u001b[0mmethod\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0muri\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mbody\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mheaders\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mheaders\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_timeout\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     72\u001b[0m       )\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/requests/sessions.py\u001b[0m in \u001b[0;36mrequest\u001b[0;34m(self, method, url, params, data, headers, cookies, files, auth, timeout, allow_redirects, proxies, hooks, stream, verify, cert, json)\u001b[0m\n\u001b[1;32m    587\u001b[0m         }\n\u001b[1;32m    588\u001b[0m         \u001b[0msend_kwargs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msettings\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 589\u001b[0;31m         \u001b[0mresp\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mprep\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0msend_kwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    590\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    591\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mresp\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/requests/sessions.py\u001b[0m in \u001b[0;36msend\u001b[0;34m(self, request, **kwargs)\u001b[0m\n\u001b[1;32m    701\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    702\u001b[0m         \u001b[0;31m# Send the request\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 703\u001b[0;31m         \u001b[0mr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0madapter\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrequest\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    704\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    705\u001b[0m         \u001b[0;31m# Total elapsed time of the request (approximately)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/requests/adapters.py\u001b[0m in \u001b[0;36msend\u001b[0;34m(self, request, stream, timeout, verify, cert, proxies)\u001b[0m\n\u001b[1;32m    484\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    485\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 486\u001b[0;31m             resp = conn.urlopen(\n\u001b[0m\u001b[1;32m    487\u001b[0m                 \u001b[0mmethod\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mrequest\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmethod\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    488\u001b[0m                 \u001b[0murl\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0murl\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/urllib3/connectionpool.py\u001b[0m in \u001b[0;36murlopen\u001b[0;34m(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, preload_content, decode_content, **response_kw)\u001b[0m\n\u001b[1;32m    789\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    790\u001b[0m             \u001b[0;31m# Make the request on the HTTPConnection object\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 791\u001b[0;31m             response = self._make_request(\n\u001b[0m\u001b[1;32m    792\u001b[0m                 \u001b[0mconn\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    793\u001b[0m                 \u001b[0mmethod\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/urllib3/connectionpool.py\u001b[0m in \u001b[0;36m_make_request\u001b[0;34m(self, conn, method, url, body, headers, retries, timeout, chunked, response_conn, preload_content, decode_content, enforce_content_length)\u001b[0m\n\u001b[1;32m    535\u001b[0m         \u001b[0;31m# Receive the response from the server\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    536\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 537\u001b[0;31m             \u001b[0mresponse\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mconn\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgetresponse\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    538\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mBaseSSLError\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mOSError\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    539\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_raise_timeout\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0merr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0me\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0murl\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0murl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtimeout_value\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mread_timeout\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/urllib3/connection.py\u001b[0m in \u001b[0;36mgetresponse\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    459\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    460\u001b[0m         \u001b[0;31m# Get the response from http.client.HTTPConnection\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 461\u001b[0;31m         \u001b[0mhttplib_response\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msuper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgetresponse\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    462\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    463\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/lib/python3.10/http/client.py\u001b[0m in \u001b[0;36mgetresponse\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1373\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1374\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1375\u001b[0;31m                 \u001b[0mresponse\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbegin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1376\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mConnectionError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1377\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclose\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/lib/python3.10/http/client.py\u001b[0m in \u001b[0;36mbegin\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    316\u001b[0m         \u001b[0;31m# read until we get a non-100 response\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    317\u001b[0m         \u001b[0;32mwhile\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 318\u001b[0;31m             \u001b[0mversion\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstatus\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mreason\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_read_status\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    319\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mstatus\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0mCONTINUE\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    320\u001b[0m                 \u001b[0;32mbreak\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/lib/python3.10/http/client.py\u001b[0m in \u001b[0;36m_read_status\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    277\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    278\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_read_status\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 279\u001b[0;31m         \u001b[0mline\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreadline\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m_MAXLINE\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"iso-8859-1\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    280\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mline\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0m_MAXLINE\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    281\u001b[0m             \u001b[0;32mraise\u001b[0m \u001b[0mLineTooLong\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"status line\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/lib/python3.10/socket.py\u001b[0m in \u001b[0;36mreadinto\u001b[0;34m(self, b)\u001b[0m\n\u001b[1;32m    703\u001b[0m         \u001b[0;32mwhile\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    704\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 705\u001b[0;31m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_sock\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrecv_into\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    706\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    707\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_timeout_occurred\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/lib/python3.10/ssl.py\u001b[0m in \u001b[0;36mrecv_into\u001b[0;34m(self, buffer, nbytes, flags)\u001b[0m\n\u001b[1;32m   1301\u001b[0m                   \u001b[0;34m\"non-zero flags not allowed in calls to recv_into() on %s\"\u001b[0m \u001b[0;34m%\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1302\u001b[0m                   self.__class__)\n\u001b[0;32m-> 1303\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnbytes\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbuffer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1304\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1305\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0msuper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrecv_into\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbuffer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnbytes\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mflags\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/lib/python3.10/ssl.py\u001b[0m in \u001b[0;36mread\u001b[0;34m(self, len, buffer)\u001b[0m\n\u001b[1;32m   1157\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1158\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mbuffer\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1159\u001b[0;31m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_sslobj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbuffer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1160\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1161\u001b[0m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_sslobj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "landslide_points = ee.FeatureCollection(\"projects/ee-lfmc/assets/hk_landslide_2019_wgs84\")\n",
        "\n",
        "out_dir = os.path.expanduser('/content/drive/MyDrive/s1_img/')\n",
        "dem_stats = os.path.join(out_dir, 'vh_30m_min_12week.csv')\n",
        "geemap.zonal_statistics(VHcols1_id, buffered, dem_stats, statistics_type='MINIMUM', scale=10)\n",
        "dem_stats = os.path.join(out_dir, 'vh_30m_max_12week.csv')\n",
        "geemap.zonal_statistics(VHcols1_id, buffered, dem_stats, statistics_type='MAXIMUM', scale=10)\n",
        "dem_stats = os.path.join(out_dir, 'vh_30m_std_12week.csv')\n",
        "geemap.zonal_statistics(VHcols1_id, buffered, dem_stats, statistics_type='STD', scale=10)\n",
        "dem_stats = os.path.join(out_dir, 'vh_30m_mean_12week.csv')\n",
        "geemap.zonal_statistics(VHcols1_id, buffered, dem_stats, statistics_type='MEAN', scale=10)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 364
        },
        "id": "JTDzFP2kcGW3",
        "outputId": "9674a3a9-8bb7-4d75-db29-79f15803683a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "            </style>\n",
              "            "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Computing statistics ...\n",
            "Generating URL ...\n",
            "Downloading data from https://earthengine.googleapis.com/v1/projects/ee-lfmc/tables/bfcdf57b449ce5f6d07ad280f7043137-d9923708a49603dc1f94e205259b2bea:getFeatures\n",
            "Please wait ...\n",
            "Data downloaded to /content/drive/MyDrive/s1_img/vh_30m_min_12week.csv\n",
            "Computing statistics ...\n",
            "Generating URL ...\n",
            "Downloading data from https://earthengine.googleapis.com/v1/projects/ee-lfmc/tables/f210aefb5cd129ad04abb412a653f3ea-421d3e2c2da200b5d1cd1b92d1dd4d35:getFeatures\n",
            "Please wait ...\n",
            "Data downloaded to /content/drive/MyDrive/s1_img/vh_30m_max_12week.csv\n",
            "Computing statistics ...\n",
            "Generating URL ...\n",
            "Downloading data from https://earthengine.googleapis.com/v1/projects/ee-lfmc/tables/04ba8aa6bc309fa43ec0887afc753aa4-1c72dc26f009f04f7bcccb7bb23251b8:getFeatures\n",
            "Please wait ...\n",
            "Data downloaded to /content/drive/MyDrive/s1_img/vh_30m_std_12week.csv\n",
            "Computing statistics ...\n",
            "Generating URL ...\n",
            "Downloading data from https://earthengine.googleapis.com/v1/projects/ee-lfmc/tables/1fb03faf649495b3da6399c8be1031aa-d77ee99cb1d5777f3e0afa922c74a4f7:getFeatures\n",
            "Please wait ...\n",
            "Data downloaded to /content/drive/MyDrive/s1_img/vh_30m_mean_12week.csv\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "def VVday_mosaics(date, newlist):\n",
        "\n",
        "  date = ee.Date(date);\n",
        "  newlist = ee.List(newlist);\n",
        "\n",
        "\n",
        "  filtered = sentinel1VV.filterDate(date, date.advance(1,'week'));\n",
        "\n",
        "  date_formatted = ee.Date(date);\n",
        "\n",
        "\n",
        "  image = ee.Image(filtered.mosaic()).set('system:time_start', date_formatted);\n",
        "  image = ee.Image(filtered.max()).set('system:time_start', date_formatted);\n",
        "  return ee.List(ee.Algorithms.If(filtered.size(), newlist.add(image), newlist));\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        },
        "id": "ZL-7cSYHdxFX",
        "outputId": "2dcab7bd-5feb-48d9-873c-503de9d765ad"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "            </style>\n",
              "            "
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "VVcols1 = ee.ImageCollection(ee.List(date_range.iterate(VVday_mosaics, ee.List([]))))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        },
        "id": "lycSmzGmd3u3",
        "outputId": "9981da45-87c9-4a4e-8fdb-f67b19f20809"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "            </style>\n",
              "            "
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "VVcols1_id = VVcols1.map(renameImage)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        },
        "id": "S0SHveA5XOQf",
        "outputId": "4cc6b50e-eedc-4b9a-ab68-8bbec4af1809"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "            </style>\n",
              "            "
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "out_dir = os.path.expanduser('/content/drive/MyDrive/s1_img/')\n",
        "dem_stats = os.path.join(out_dir, 'vv_30m_min_12week.csv')\n",
        "geemap.zonal_statistics(VVcols1_id, buffered, dem_stats, statistics_type='MINIMUM', scale=10)\n",
        "dem_stats = os.path.join(out_dir, 'vv_30m_max_12week.csv')\n",
        "geemap.zonal_statistics(VVcols1_id, buffered, dem_stats, statistics_type='MAXIMUM', scale=10)\n",
        "dem_stats = os.path.join(out_dir, 'vv_30m_std_12week.csv')\n",
        "geemap.zonal_statistics(VVcols1_id, buffered, dem_stats, statistics_type='STD', scale=10)\n",
        "dem_stats = os.path.join(out_dir, 'vv_30m_mean_12week.csv')\n",
        "geemap.zonal_statistics(VVcols1_id, buffered, dem_stats, statistics_type='MEAN', scale=10)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 364
        },
        "id": "nzl8o391d9Uz",
        "outputId": "d6ecb8f0-42c2-432d-dd54-dac5eca46bdc"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "            </style>\n",
              "            "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Computing statistics ...\n",
            "Generating URL ...\n",
            "Downloading data from https://earthengine.googleapis.com/v1/projects/ee-lfmc/tables/e881db567d4e57b627df5f970108a7df-c67f13db35270c00177790e7838ebd98:getFeatures\n",
            "Please wait ...\n",
            "Data downloaded to /content/drive/MyDrive/s1_img/vv_30m_min_12week.csv\n",
            "Computing statistics ...\n",
            "Generating URL ...\n",
            "Downloading data from https://earthengine.googleapis.com/v1/projects/ee-lfmc/tables/60180dca7bc353abf4bb21f4f4aa3080-13771643033dc214663862b50e042a1b:getFeatures\n",
            "Please wait ...\n",
            "Data downloaded to /content/drive/MyDrive/s1_img/vv_30m_max_12week.csv\n",
            "Computing statistics ...\n",
            "Generating URL ...\n",
            "Downloading data from https://earthengine.googleapis.com/v1/projects/ee-lfmc/tables/4e4e396f8d1e917015fabacf1c960f63-f477399b2758fee62bdeb646b135d995:getFeatures\n",
            "Please wait ...\n",
            "Data downloaded to /content/drive/MyDrive/s1_img/vv_30m_std_12week.csv\n",
            "Computing statistics ...\n",
            "Generating URL ...\n",
            "Downloading data from https://earthengine.googleapis.com/v1/projects/ee-lfmc/tables/336dabd73ef47214fb9cd5cc2d2cad4a-d32d709821d6498845c33d6152a90c2d:getFeatures\n",
            "Please wait ...\n",
            "Data downloaded to /content/drive/MyDrive/s1_img/vv_30m_mean_12week.csv\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "dem_stats = os.path.join(out_dir, 'vv_30m_mean.csv')\n",
        "geemap.zonal_statistics(VVcols1, buffered, dem_stats, statistics_type='MEAN', scale=10)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 547
        },
        "id": "HlDwEBfuuywC",
        "outputId": "79fe351f-a68a-44ae-d7e5-86c4b387f324"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "            </style>\n",
              "            "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Computing statistics ...\n"
          ]
        },
        {
          "output_type": "error",
          "ename": "Exception",
          "evalue": "User memory limit exceeded.",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mHttpError\u001b[0m                                 Traceback (most recent call last)",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/ee/data.py\u001b[0m in \u001b[0;36m_execute_cloud_call\u001b[0;34m(call, num_retries)\u001b[0m\n\u001b[1;32m    401\u001b[0m   \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 402\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0mcall\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexecute\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnum_retries\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mnum_retries\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    403\u001b[0m   \u001b[0;32mexcept\u001b[0m \u001b[0mgoogleapiclient\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0merrors\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mHttpError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/googleapiclient/_helpers.py\u001b[0m in \u001b[0;36mpositional_wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    129\u001b[0m                     \u001b[0mlogger\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwarning\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmessage\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 130\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mwrapped\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    131\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/googleapiclient/http.py\u001b[0m in \u001b[0;36mexecute\u001b[0;34m(self, http, num_retries)\u001b[0m\n\u001b[1;32m    937\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mresp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstatus\u001b[0m \u001b[0;34m>=\u001b[0m \u001b[0;36m300\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 938\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0mHttpError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresp\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcontent\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0muri\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0muri\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    939\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpostproc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresp\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcontent\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mHttpError\u001b[0m: <HttpError 400 when requesting https://earthengine.googleapis.com/v1/projects/ee-lfmc/value:compute?prettyPrint=false&alt=json returned \"User memory limit exceeded.\". Details: \"User memory limit exceeded.\">",
            "\nDuring handling of the above exception, another exception occurred:\n",
            "\u001b[0;31mEEException\u001b[0m                               Traceback (most recent call last)",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/geemap/common.py\u001b[0m in \u001b[0;36mzonal_stats\u001b[0;34m(in_value_raster, in_zone_vector, out_file_path, stat_type, scale, crs, tile_scale, return_fc, verbose, timeout, proxies, **kwargs)\u001b[0m\n\u001b[1;32m   7038\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 7039\u001b[0;31m             \u001b[0mee_export_vector\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfilename\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mproxies\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mproxies\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   7040\u001b[0m     \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/geemap/common.py\u001b[0m in \u001b[0;36mee_export_vector\u001b[0;34m(ee_object, filename, selectors, verbose, keep_zip, timeout, proxies)\u001b[0m\n\u001b[1;32m   1034\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mselectors\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1035\u001b[0;31m         \u001b[0mselectors\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mee_object\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfirst\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpropertyNames\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgetInfo\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1036\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mfiletype\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m\"csv\"\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/ee/computedobject.py\u001b[0m in \u001b[0;36mgetInfo\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    106\u001b[0m     \"\"\"\n\u001b[0;32m--> 107\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcomputeValue\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    108\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/ee/data.py\u001b[0m in \u001b[0;36mcomputeValue\u001b[0;34m(obj)\u001b[0m\n\u001b[1;32m   1106\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1107\u001b[0;31m   return _execute_cloud_call(\n\u001b[0m\u001b[1;32m   1108\u001b[0m       \u001b[0m_get_cloud_projects\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/ee/data.py\u001b[0m in \u001b[0;36m_execute_cloud_call\u001b[0;34m(call, num_retries)\u001b[0m\n\u001b[1;32m    403\u001b[0m   \u001b[0;32mexcept\u001b[0m \u001b[0mgoogleapiclient\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0merrors\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mHttpError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 404\u001b[0;31m     \u001b[0;32mraise\u001b[0m \u001b[0m_translate_cloud_exception\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0me\u001b[0m\u001b[0;34m)\u001b[0m  \u001b[0;31m# pylint: disable=raise-missing-from\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    405\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mEEException\u001b[0m: User memory limit exceeded.",
            "\nDuring handling of the above exception, another exception occurred:\n",
            "\u001b[0;31mException\u001b[0m                                 Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-63-d9023009da51>\u001b[0m in \u001b[0;36m<cell line: 2>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0mdem_stats\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mout_dir\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'vv_30m_mean.csv'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mgeemap\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mzonal_statistics\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mVVcols1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbuffered\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdem_stats\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstatistics_type\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'MEAN'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mscale\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/geemap/common.py\u001b[0m in \u001b[0;36mzonal_stats\u001b[0;34m(in_value_raster, in_zone_vector, out_file_path, stat_type, scale, crs, tile_scale, return_fc, verbose, timeout, proxies, **kwargs)\u001b[0m\n\u001b[1;32m   7039\u001b[0m             \u001b[0mee_export_vector\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfilename\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mproxies\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mproxies\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   7040\u001b[0m     \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 7041\u001b[0;31m         \u001b[0;32mraise\u001b[0m \u001b[0mException\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0me\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   7042\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   7043\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mException\u001b[0m: User memory limit exceeded."
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "non_landslide_points = ee.FeatureCollection(\"projects/ee-lfmc/assets/non_landslide_random\")\n",
        "non_landslide_buffered = landslide_points.map(lambda f: f.buffer(10).bounds())\n",
        "\n",
        "\n",
        "out_dir = os.path.expanduser('/content/drive/MyDrive/s2_img/')\n",
        "dem_stats = os.path.join(out_dir, 'non_landslide_ndvi_30m_min.csv')\n",
        "geemap.zonal_statistics(ndvi_img, non_landslide_buffered, dem_stats, statistics_type='MINIMUM', scale=10)\n",
        "dem_stats = os.path.join(out_dir, 'non_landslide_ndvi_30m_max.csv')\n",
        "geemap.zonal_statistics(ndvi_img, non_landslide_buffered, dem_stats, statistics_type='MAXIMUM', scale=10)\n",
        "dem_stats = os.path.join(out_dir, 'non_landslide_ndvi_30m_std.csv')\n",
        "geemap.zonal_statistics(ndvi_img, non_landslide_buffered, dem_stats, statistics_type='STD', scale=10)\n",
        "dem_stats = os.path.join(out_dir, 'non_landslide_ndvi_30m_mean.csv')\n",
        "geemap.zonal_statistics(ndvi_img, non_landslide_buffered, dem_stats, statistics_type='MEAN', scale=10)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 364
        },
        "id": "y7XeZlGvsMAd",
        "outputId": "452519e3-d7b1-43ae-9a1f-5d24005c21e1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "            </style>\n",
              "            "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Computing statistics ...\n",
            "Generating URL ...\n",
            "Downloading data from https://earthengine.googleapis.com/v1/projects/ee-lfmc/tables/ea31d6d7ac6d5885f0b782a8364da33c-a279e0b7d36457d0ab39159ff49f10d3:getFeatures\n",
            "Please wait ...\n",
            "Data downloaded to /content/drive/MyDrive/s2_img/non_landslide_ndvi_30m_min.csv\n",
            "Computing statistics ...\n",
            "Generating URL ...\n",
            "Downloading data from https://earthengine.googleapis.com/v1/projects/ee-lfmc/tables/4a69a0c051fb59f8fdbf6871d4f3c41b-6b68580dae214d86d53b3dd4609bc0b5:getFeatures\n",
            "Please wait ...\n",
            "Data downloaded to /content/drive/MyDrive/s2_img/non_landslide_ndvi_30m_max.csv\n",
            "Computing statistics ...\n",
            "Generating URL ...\n",
            "Downloading data from https://earthengine.googleapis.com/v1/projects/ee-lfmc/tables/6a71c7857c850cba338cdd207696ab20-9a8064314e247e1acdf04dc7f7e75aa8:getFeatures\n",
            "Please wait ...\n",
            "Data downloaded to /content/drive/MyDrive/s2_img/non_landslide_ndvi_30m_std.csv\n",
            "Computing statistics ...\n",
            "Generating URL ...\n",
            "Downloading data from https://earthengine.googleapis.com/v1/projects/ee-lfmc/tables/92fed8da92e6a6dd4c1e9f205a3e693e-da40f2bf4851ec7907c73ff623bd7253:getFeatures\n",
            "Please wait ...\n",
            "Data downloaded to /content/drive/MyDrive/s2_img/non_landslide_ndvi_30m_mean.csv\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Dse_KD1HdDnc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 211
        },
        "outputId": "b9cf324f-94da-4ab2-aa7e-dc0d59eea15b"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "            </style>\n",
              "            "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "error",
          "ename": "SyntaxError",
          "evalue": "invalid syntax (<ipython-input-52-4c336472e049>, line 30)",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mSyntaxError\u001b[0m                               Traceback (most recent call last)",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/IPython/core/compilerop.py\u001b[0m in \u001b[0;36mast_parse\u001b[0;34m(self, source, filename, symbol)\u001b[0m\n\u001b[1;32m     99\u001b[0m         \u001b[0mArguments\u001b[0m \u001b[0mare\u001b[0m \u001b[0mexactly\u001b[0m \u001b[0mthe\u001b[0m \u001b[0msame\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mast\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mparse\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;32min\u001b[0m \u001b[0mthe\u001b[0m \u001b[0mstandard\u001b[0m \u001b[0mlibrary\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    100\u001b[0m         and are passed to the built-in compile function.\"\"\"\n\u001b[0;32m--> 101\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mcompile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msource\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfilename\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msymbol\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mflags\u001b[0m \u001b[0;34m|\u001b[0m \u001b[0mPyCF_ONLY_AST\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    102\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    103\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mreset_compiler_flags\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mSyntaxError\u001b[0m: invalid syntax (<ipython-input-52-4c336472e049>, line 30)"
          ]
        }
      ],
      "source": [
        "# The code has been copied to the clipboard.\n",
        "# Press Ctrl+V to in a code cell to paste it.\n",
        "pts = ee.FeatureCollection(\"projects/ee-lfmc/assets/hk_all_plants_species_large10_wgs84_lte10_15_23_google\")\n",
        "buff_pts = pts.map(lambda f: f.buffer(5))\n",
        "\n",
        "def zonalStats(ic, fc, params):\n",
        "  # Initialize internal params dictionary.\n",
        "    _params = {\n",
        "      'reducer': ee.Reducer.mean(),\n",
        "      'scale': None,\n",
        "      'crs': None,\n",
        "      'bands': None,\n",
        "      'bandsRename': None,\n",
        "      'imgProps': None,\n",
        "      'imgPropsRename': None,\n",
        "      'datetimeName': 'datetime',\n",
        "      'datetimeFormat': 'YYYY-MM-dd HH:mm:ss'\n",
        "    }\n",
        "\n",
        "  # Replace initialized params with provided params.\n",
        "    if (params):\n",
        "      for param in params:\n",
        "        _params[param] = params[param] | _params[param]\n",
        "\n",
        "\n",
        "\n",
        "  # Set default parameters based on an image representative.\n",
        "    imgRep = ic.first()\n",
        "    nonSystemImgProps = ee.Feature(None).copyProperties(imgRep).propertyNames()\n",
        "    if (!_params.bands) _params.bands = imgRep.bandNames()\n",
        "    if (!_params.bandsRename) _params.bandsRename = _params.bands\n",
        "    if (!_params.imgProps) _params.imgProps = nonSystemImgProps\n",
        "    if (!_params.imgPropsRename) _params.imgPropsRename = _params.imgProps\n",
        "\n",
        "  # Map the reduceRegions function over the image collection.\n",
        "    results = ic.map(lambda: extract_pvalue\n",
        "\n",
        "def set_imgprop(imgProps):\n",
        "    return f.set(imgProps)\n",
        "\n",
        "\n",
        "def extract_pvalue(img):\n",
        "    # Select bands (optionally rename), set a datetime & timestamp property.\n",
        "    img = ee.Image(img.select(_params.bands, _params.bandsRename)) \\\n",
        "      .set(_params.datetimeName, img.date().format(_params.datetimeFormat)) \\\n",
        "      .set('timestamp', img.get('system:time_start'))\n",
        "\n",
        "    # Define final image property dictionary to set in output features.\n",
        "    propsFrom = ee.List(_params.imgProps) \\\n",
        "      .cat(ee.List([_params.datetimeName, 'timestamp']))\n",
        "    propsTo = ee.List(_params.imgPropsRename) \\\n",
        "      .cat(ee.List([_params.datetimeName, 'timestamp']))\n",
        "    imgProps = img.toDictionary(propsFrom).rename(propsFrom, propsTo)\n",
        "\n",
        "    # Subset points that intersect the given image.\n",
        "    fcSub = fc.filterBounds(img.geometry())\n",
        "\n",
        "    # Reduce the image by regions.\n",
        "    return img.reduceRegions({\n",
        "      'collection': fcSub,\n",
        "      'reducer': _params.reducer,\n",
        "      'scale': _params.scale,\n",
        "      'crs': _params.crs\n",
        "    })\n",
        "    # Add metadata to each feature.\n",
        "\n",
        "def func_bex(f):\n",
        "    return f.set(imgProps).map(func_bex)\n",
        "\n",
        "def func_zlw(img):\n",
        "    # Select bands (optionally rename), set a datetime & timestamp property.\n",
        "    img = ee.Image(img.select(_params.bands, _params.bandsRename)) \\\n",
        "      .set(_params.datetimeName, img.date().format(_params.datetimeFormat)) \\\n",
        "      .set('timestamp', img.get('system:time_start'))\n",
        "\n",
        "    # Define final image property dictionary to set in output features.\n",
        "    propsFrom = ee.List(_params.imgProps) \\\n",
        "      .cat(ee.List([_params.datetimeName, 'timestamp']))\n",
        "    propsTo = ee.List(_params.imgPropsRename) \\\n",
        "      .cat(ee.List([_params.datetimeName, 'timestamp']))\n",
        "    imgProps = img.toDictionary(propsFrom).rename(propsFrom, propsTo)\n",
        "\n",
        "    # Subset points that intersect the given image.\n",
        "    fcSub = fc.filterBounds(img.geometry())\n",
        "\n",
        "    # Reduce the image by regions.\n",
        "    return img.reduceRegions({\n",
        "      'collection': fcSub,\n",
        "      'reducer': _params.reducer,\n",
        "      'scale': _params.scale,\n",
        "      'crs': _params.crs\n",
        "    }) \\\n",
        "    .map(function(f) {\n",
        "      return f.set(imgProps)\n",
        "    })\n",
        "\n",
        "    results = ic.map(func_zlw).flatten().filter(ee.Filter.NotNull(_params.bandsRename))).flatten().filter(ee.Filter.NotNull(_params.bandsRename))\n",
        "\n",
        "    return results\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 193
        },
        "id": "u6wB8sJqYRbx",
        "outputId": "1c43cbdc-5a6a-42b7-e787-c8f62d3b7e27"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "            </style>\n",
              "            "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "error",
          "ename": "NameError",
          "evalue": "name 'image' is not defined",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-61-446eedb1eb57>\u001b[0m in \u001b[0;36m<cell line: 21>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     19\u001b[0m }\n\u001b[1;32m     20\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 21\u001b[0;31m \u001b[0mMap\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maddLayer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimage\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'S2 NDVI Time-series'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     22\u001b[0m \u001b[0mMap\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maddLayer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimage\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mselect\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mndvi_vis\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'S2'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mNameError\u001b[0m: name 'image' is not defined"
          ]
        }
      ],
      "source": [
        "import geemap.colormaps as cm\n",
        "band_value = s2_cloudless_all.select('B2')\n",
        "pts = ee.FeatureCollection(\"projects/ee-lfmc/assets/hk_all_plants_species_large10_wgs84_lte10_15_23_google\")\n",
        "buff_pts = pts.map(lambda f: f.buffer(5))\n",
        "\n",
        "s2_clip_col = band_value.filterBounds(buff_pts).map(lambda image: image.clip(buff_pts))\n",
        "# Convert the image collection to an image.\n",
        "s2_clip_image = s2_clip_col.toBands()\n",
        "s2_ts_stats = '/content/drive/MyDrive/s2_b2_ts.csv'\n",
        "# geemap.zonal_statistics(s2_clip_image, buff_pts, s2_ts_stats, statistics_type='MEAN')\n",
        "\n",
        "\n",
        "palette = cm.palettes.ndvi\n",
        "\n",
        "ndvi_vis = {\n",
        "  'min': 0.0,\n",
        "  'max': 0.3,\n",
        "  'palette': palette\n",
        "}\n",
        "\n",
        "Map.addLayer(image, {}, 'S2 NDVI Time-series')\n",
        "Map.addLayer(image.select(0), ndvi_vis, 'S2')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        },
        "id": "NNKOJTR5TXqf",
        "outputId": "09fde2d0-266f-4d48-f9fa-06036227c856"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "            </style>\n",
              "            "
            ]
          },
          "metadata": {}
        }
      ],
      "source": [
        "vis_params = {\"min\": 0, \"max\": 3000, \"bands\": ['B8', 'B4', 'B3']}\n",
        "Map.addLayer(s2_cloudless_right.median(), vis_params, 'Right')\n",
        "Map.addLayer(s2_cloudless_left.median(), vis_params, 'Left')\n",
        "# Map.addLayer(s2_cloudless_all.median(), vis_params, 'All')\n",
        "Map.setCenter(114.277, 22.5, 10);"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "iKDHrkAyeKpc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        },
        "outputId": "a890b3d4-9534-457c-f96c-d0531bd843e7"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "            </style>\n",
              "            "
            ]
          },
          "metadata": {}
        }
      ],
      "source": [
        "# Define function to chain the above process\n",
        "\n",
        "def preprocess(image):\n",
        "  s2_boa = func1(image)\n",
        "  d1 = s2_boa.clip(aoi)\n",
        "\n",
        "  # export to asset\n",
        "  fname = ee.String(d1.get('system:index')).getInfo()\n",
        "  export = ee.batch.Export.image.toAsset(\n",
        "      image = d1,\n",
        "      description= 'S2_BOA_' + fname,\n",
        "      assetId = 'projects/ee-lfmc/assets/S2_Py6S_mask_m3/' +'S2_BOA_' + fname, # Manually create image collection in GEE asset first\n",
        "      region = aoi,\n",
        "      scale = 10)\n",
        "  export.start()\n",
        "  print('exporting ' +fname + '--->done')\n",
        "\n",
        "  # find adjacent S2 tile\n",
        "  d1_date = d1.date().format('yyyy-MM-dd')\n",
        "  s2_left = s2_cloudless_left.filterDate(d1.date().advance(-1,'day').format('yyyy-MM-dd'), d1.date().advance(1,'day').format('yyyy-MM-dd')).first()\n",
        "  s2_left_boa = func1(s2_left)\n",
        "  d2 = s2_left_boa.clip(aoi)\n",
        "\n",
        "  # export to asset\n",
        "  fname = ee.String(d2.get('system:index')).getInfo()\n",
        "  export = ee.batch.Export.image.toAsset(\n",
        "      image = d2,\n",
        "      description= 'S2_BOA_' + fname,\n",
        "      assetId = 'projects/ee-lfmc/assets/S2_Py6S_mask_m3/' +'S2_BOA_' + fname,\n",
        "      region = aoi,\n",
        "      scale = 10)\n",
        "  export.start()\n",
        "  print('exporting ' +fname + '--->done')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "r2s23b3yeNEt",
        "outputId": "77c789bb-a95e-43b3-8d7c-561085932a82"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "            </style>\n",
              "            "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "8\n",
            "0\n",
            "B1\n",
            "B2\n",
            "B3\n",
            "B4\n",
            "B5\n",
            "B6\n",
            "B7\n",
            "B8\n",
            "B8A\n",
            "B9\n",
            "B10\n",
            "B11\n",
            "B12\n",
            "exporting 20160917T025542_20160917T030353_T49QHE--->done\n",
            "B1\n",
            "B2\n",
            "B3\n",
            "B4\n",
            "B5\n",
            "B6\n",
            "B7\n",
            "B8\n",
            "B8A\n",
            "B9\n",
            "B10\n",
            "B11\n",
            "B12\n",
            "exporting 20160917T025542_20160917T030353_T49QGE--->done\n",
            "1\n",
            "2\n",
            "B1\n",
            "B2\n",
            "B3\n",
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            "B5\n",
            "B6\n",
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            "B8\n",
            "B8A\n",
            "B9\n",
            "B10\n",
            "B11\n",
            "B12\n",
            "exporting 20160927T031132_20160927T031128_T49QHE--->done\n",
            "B1\n",
            "B2\n",
            "B3\n",
            "B4\n",
            "B5\n",
            "B6\n",
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            "B8\n",
            "B8A\n",
            "B9\n",
            "B10\n",
            "B11\n",
            "B12\n",
            "exporting 20160927T031132_20160927T031128_T49QGE--->done\n",
            "3\n",
            "4\n",
            "B1\n",
            "B2\n",
            "B3\n",
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            "B8\n",
            "B8A\n",
            "B9\n",
            "B10\n",
            "B11\n",
            "B12\n",
            "exporting 20161027T025812_20161027T030825_T49QHE--->done\n",
            "B1\n",
            "B2\n",
            "B3\n",
            "B4\n",
            "B5\n",
            "B6\n",
            "B7\n",
            "B8\n",
            "B8A\n",
            "B9\n",
            "B10\n",
            "B11\n",
            "B12\n",
            "exporting 20161027T025812_20161027T030825_T49QGE--->done\n",
            "5\n",
            "6\n",
            "B1\n",
            "B2\n",
            "B3\n",
            "B4\n",
            "B5\n",
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            "B8\n",
            "B8A\n",
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            "B10\n",
            "B11\n",
            "B12\n",
            "exporting 20161216T031132_20161216T031127_T49QHE--->done\n",
            "B1\n",
            "B2\n",
            "B3\n",
            "B4\n",
            "B5\n",
            "B6\n",
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            "B8\n",
            "B8A\n",
            "B9\n",
            "B10\n",
            "B11\n",
            "B12\n",
            "exporting 20161216T031132_20161216T031127_T49QGE--->done\n",
            "7\n",
            "B1\n",
            "B2\n",
            "B3\n",
            "B4\n",
            "B5\n",
            "B6\n",
            "B7\n",
            "B8\n",
            "B8A\n",
            "B9\n",
            "B10\n",
            "B11\n",
            "B12\n",
            "exporting 20161226T030122_20161226T031105_T49QHE--->done\n",
            "B1\n",
            "B2\n",
            "B3\n",
            "B4\n",
            "B5\n",
            "B6\n",
            "B7\n",
            "B8\n",
            "B8A\n",
            "B9\n",
            "B10\n",
            "B11\n",
            "B12\n",
            "exporting 20161226T030122_20161226T031105_T49QGE--->done\n",
            "['2016-09-17', '2016-09-27', '2016-10-27', '2016-12-16', '2016-12-26']\n"
          ]
        }
      ],
      "source": [
        "# Run the preprocessing & export to asset\n",
        "\n",
        "aoi = ee.Geometry.Polygon([[[113.800, 22.570],[113.800, 22.120],[114.514, 22.120],[114.514, 22.570]]]) # Define output AOI\n",
        "geom = aoi\n",
        "dates = []\n",
        "\n",
        "s2_col = s2_cloudless_right\n",
        "\n",
        "col_length = s2_col.size().getInfo()\n",
        "print(col_length)\n",
        "\n",
        "for i in range(0,col_length):\n",
        "    print(i)\n",
        "    s2_list = s2_col.toList(col_length)\n",
        "    img = ee.Image(s2_list.get(i))\n",
        "    d1_date_info = img.date().format('yyyy-MM-dd').getInfo()\n",
        "    if d1_date_info in dates:\n",
        "      continue\n",
        "    dates.append(d1_date_info)\n",
        "    preprocess(img)\n",
        "\n",
        "print(dates)\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Bf1O87eiH7Lt",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        },
        "outputId": "7877fb1e-16f0-4e04-f2bb-9e3f3dea029a"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "            </style>\n",
              "            "
            ]
          },
          "metadata": {}
        }
      ],
      "source": [
        "aoi = ee.Geometry.Polygon([[[113.800, 22.570],[113.800, 22.120],[114.514, 22.120],[114.514, 22.570]]])\n",
        "\n",
        "target_START_DATE = '2016-09-01'   # Define start date\n",
        "target_END_DATE = '2016-12-31'   # Define end date\n",
        "s2_boa_col = ee.ImageCollection(\"projects/ee-lfmc/assets/S2_Py6S_mask_m3\").filterDate(target_START_DATE, target_END_DATE)\n",
        "Map.addLayer(s2_boa_col.mean().multiply(10000).toInt(), vis_params, 'Selected2')\n",
        "Map.setCenter(114.277, 22.5, 10);\n",
        "output_img = s2_boa_col.mean().multiply(10000).toInt()\n",
        "\n",
        "\n",
        "from ee import batch\n",
        "image = output_img.clip(hk_boundary).unmask()\n",
        "\n",
        "out = batch.Export.image.toDrive(\n",
        "      image=image.select(['B2','B3','B4', 'B8']),\n",
        "      folder='s2_img',\n",
        "      description = str(target_START_DATE)+'-10m',\n",
        "      scale= 10,\n",
        "      maxPixels=1e13,\n",
        "      region = hk_boundary,\n",
        "      crs='EPSG:4326'\n",
        "    )\n",
        "\n",
        "batch.Task.start(out)\n",
        "\n",
        "out = batch.Export.image.toDrive(\n",
        "      image=image.select(['B5','B6','B7', 'B8A', 'B11','B12']),\n",
        "      folder='s2_img',\n",
        "      description = str(target_START_DATE)+'-20m',\n",
        "      scale= 20,\n",
        "      maxPixels=1e13,\n",
        "      region = hk_boundary,\n",
        "      crs='EPSG:4326'\n",
        "    )\n",
        "\n",
        "batch.Task.start(out)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cHG_CVhpJRQ6",
        "outputId": "4d8bf41d-afb4-4b20-bef3-a763e8c6776c"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "18\n"
          ]
        }
      ],
      "source": [
        "print(s2_boa_col.size().getInfo())"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5KD8XgI3eUv8",
        "outputId": "f9d3daeb-f167-49a7-eff8-676a89f138c4"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "14\n",
            "7\n",
            "0\n",
            "2017-07-09\n",
            "exporting S2_BOA_20170709T031139_20170709T031133_T49QGE--->done\n",
            "1\n",
            "2017-07-29\n",
            "exporting S2_BOA_20170729T031129_20170729T031132_T49QGE--->done\n",
            "2\n",
            "2017-08-13\n",
            "exporting S2_BOA_20170813T025551_20170813T030446_T49QGE--->done\n",
            "3\n",
            "2017-08-18\n",
            "exporting S2_BOA_20170818T031129_20170818T031129_T49QGE--->done\n",
            "4\n",
            "2017-09-12\n",
            "exporting S2_BOA_20170912T031131_20170912T031130_T49QGE--->done\n",
            "5\n",
            "2017-09-17\n",
            "exporting S2_BOA_20170917T025539_20170917T030434_T49QGE--->done\n",
            "6\n",
            "2017-09-27\n",
            "exporting S2_BOA_20170927T031119_20170927T031118_T49QGE--->done\n"
          ]
        }
      ],
      "source": [
        "# Mosaic the two tiles created above into one mosaic\n",
        "\n",
        "aoi = ee.Geometry.Polygon([[[113.800, 22.570],[113.800, 22.120],[114.514, 22.120],[114.514, 22.570]]])\n",
        "\n",
        "s2_boa_col = ee.ImageCollection(\"users/pantl9507/S2_Py6S_mask3\")\n",
        "print(s2_boa_col.size().getInfo())\n",
        "days = ee.Dictionary(s2_boa_col.aggregate_histogram('system:time_start')).keys().getInfo()\n",
        "days = [datetime.fromtimestamp(float(s)/1000.0).strftime('%Y-%m-%d') for s in days]\n",
        "days = list(dict.fromkeys(days))\n",
        "print(len(days))\n",
        "\n",
        "for i in range(0,len(days)):\n",
        "  print(i)\n",
        "  print(days[i])\n",
        "  d = ee.Date(days[i])\n",
        "  t = s2_boa_col.filterDate(d,d.advance(1,'day'))\n",
        "  f = ee.Image(t.first())\n",
        "  t = t.mosaic().select(['B1','B2','B3','B4','B5','B6','B7','B8','B8A','B11','B12'])\n",
        "  t = t.set('system:time_start',d.millis())\n",
        "  t = t.copyProperties(f, f.propertyNames())\n",
        "  t = ee.Image(t)\n",
        "  fname = ee.String(t.get('system:index')).getInfo()\n",
        "  export = ee.batch.Export.image.toAsset(\n",
        "    image = t,\n",
        "    description = fname,\n",
        "    assetId = 'users/pantl9507/S2_Py6S_mask_m/' + fname,\n",
        "    region = aoi,\n",
        "    scale = 10)\n",
        "  export.start()\n",
        "  print('exporting ' +fname + '--->done')\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 68
        },
        "id": "MHhZn1Pvwd3p",
        "outputId": "f04166b9-b91b-41db-c5ec-8f579e95acf9"
      },
      "outputs": [
        {
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            "text/plain": [
              "<ee.ee_list.List at 0x7f556f7e61a0>"
            ]
          },
          "execution_count": 42,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "s2_boa_col.first().bandNames()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pmNubB5duWZA",
        "outputId": "a52727bb-beab-4c9b-edbe-729ac2ad84a1"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "3\n"
          ]
        }
      ],
      "source": [
        "s2_boa_col_m = ee.ImageCollection(\"users/pantl9507/S2_Py6S_mask_m\").filter(ee.Filter.or(\n",
        "            ee.Filter.date('2023-04-01', '2023-09-01'),\n",
        "            ee.Filter.date('1989-10-01', '1990-01-01')))\n",
        "\n",
        "print(s2_boa_col_m.size().getInfo())\n",
        "output_img = s2_boa_col_m.median().multiply(10000).toInt()\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "ObOrlt3W7K6x"
      },
      "outputs": [],
      "source": [
        "Map.addLayer(output_img, vis_params, 'output')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "jxoliH7U68Pr"
      },
      "outputs": [],
      "source": [
        "from ee import batch\n",
        "image = output_img.clip(hk_boundary).unmask()\n",
        "filename = \"/content/drive/MyDrive/s2_img/2017_01_01\"\n",
        "\n",
        "out = batch.Export.image.toDrive(\n",
        "      image=image.select(['B2','B3','B4', 'B8']),\n",
        "      folder='s2_img',\n",
        "      description = str(START_DATE)+'-10m',\n",
        "      scale= 10,\n",
        "      maxPixels=1e13,\n",
        "      region = hk_boundary,\n",
        "      crs='EPSG:4326'\n",
        "    )\n",
        "\n",
        "batch.Task.start(out)\n",
        "# geemap.ee_export_image(\n",
        "#     image.select['B2','B3','B4', 'B8'], filename=filename, scale=90, region=roi, file_per_band=False\n",
        "# )"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "mC7Wq3lKDbu5"
      },
      "outputs": [],
      "source": [
        "out = batch.Export.image.toDrive(\n",
        "      image=image.select(['B5','B6','B7', 'B8A', 'B11','B12']),\n",
        "      folder='s2_img',\n",
        "      description = str(START_DATE)+'-20m',\n",
        "      scale= 20,\n",
        "      maxPixels=1e13,\n",
        "      region = hk_boundary,\n",
        "      crs='EPSG:4326'\n",
        "    )\n",
        "\n",
        "batch.Task.start(out)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jx1AHVekEkXy",
        "outputId": "69ff525a-29a1-47d9-fad4-3f494de0f969"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Jobs sent GEE server. Open https://code.earthengine.google.com/tasks for status.\n"
          ]
        }
      ],
      "source": [
        "print(\"Jobs sent GEE server. Open https://code.earthengine.google.com/tasks for status.\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VfW5psEcauTY",
        "outputId": "1559ef8f-a4fe-4908-969a-d2f4b89bfc43"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "[]"
            ]
          },
          "execution_count": 32,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "ee.Dictionary(s2_boa_col.aggregate_histogram('system:time_start')).keys().getInfo()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UumkssXUa4lf",
        "outputId": "2d33e35a-d598-4e80-c38d-86360f6b7b67"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "0\n"
          ]
        }
      ],
      "source": [
        "print(s2_boa_col.size().getInfo())"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "8DiS2kMAabNg"
      },
      "outputs": [],
      "source": [
        "Map.addLayer(s2_boa_col.median(), vis_params, 'Final')\n",
        "Map.setCenter(114.277, 22.5, 10);"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "xc7MtTxbWEKN"
      },
      "outputs": [],
      "source": [
        "# The code has been copied to the clipboard.\n",
        "# Press Ctrl+V to in a code cell to paste it.\n",
        "aoi = ee.FeatureCollection('projects/ee-lfmc/assets/HK_boundary').geometry()\n",
        "start = ee.Date('2017-03-01')\n",
        "finish = ee.Date('2017-08-01')\n",
        "\n",
        "def MedianVV(image):\n",
        "  return image.addBands(image.focal_median({'radius': 5,\n",
        "                                            'kernelType': 'square',\n",
        "                                            'units': 'pixels'}) \\\n",
        "                             .rename(['Sigma0_VV']))\n",
        "\n",
        "def MedianVH(image):\n",
        "  return image.addBands(image.focal_median({'radius': 5,\n",
        "                                            'kernelType': 'square',\n",
        "                                            'units': 'pixels'}) \\\n",
        "                             .rename(['Sigma0_VH']))\n",
        "\n",
        "#* Function to mask outliers in VV band based on histogram analysis #\n",
        "def maskVV(image):\n",
        "  quantil90 = image.reduceRegion({'reducer':\n",
        "                          ee.Reducer.percentile({'percentiles': ee.List([95]),\n",
        "                                                 'outputNames': ee.List(['p95'])}),\n",
        "                                      'scale': 10,\n",
        "                                      'bestEffort': True})\n",
        "  Outliers = image.select('VV').lte(ee.Number(quantil90.get('VV')))\n",
        "  return image.updateMask(Outliers)\n",
        "def maskVH(image):\n",
        "  quantil90 = image.reduceRegion({'reducer':\n",
        "                          ee.Reducer.percentile({'percentiles': ee.List([95]),\n",
        "                                                 'outputNames': ee.List(['p95'])}),\n",
        "                                      'scale': 10,\n",
        "                                      'bestEffort': True})\n",
        "  Outliers = image.select('VH').lte(ee.Number(quantil90.get('VH')))\n",
        "  return image.updateMask(Outliers)\n",
        "\n",
        "#* Vars that will receive and pre-process the Sentinel-1 SAR choiced images: #\n",
        "sentinel1VV = ee.ImageCollection('COPERNICUS/S1_GRD') \\\n",
        "                    .filter(ee.Filter.eq('instrumentMode', 'IW')) \\\n",
        "                    .filter(ee.Filter.eq('orbitProperties_pass', 'ASCENDING')) \\\n",
        "                    .filter(ee.Filter.eq('resolution_meters', 10)) \\\n",
        "                    .filterBounds(aoi) \\\n",
        "                    .filterDate(start, finish) \\\n",
        "                    .select('VV')\n",
        "\n",
        "def func_jnc(image):\n",
        "                        edge = image.lt(-30.0)\n",
        "                        maskedImage = image.mask().And(edge.Not())\n",
        "                        return image.updateMask(maskedImage) \\\n",
        "                    .map(func_jnc) \\\n",
        "                    .map(maskVV)\n",
        "                    # .map(MedianVV)\n",
        "                    # .select('Sigma0_VV')\n",
        "\n",
        "# VH band\n",
        "sentinel1VH = ee.ImageCollection('COPERNICUS/S1_GRD') \\\n",
        "                    .filter(ee.Filter.eq('instrumentMode', 'IW')) \\\n",
        "                    .filter(ee.Filter.eq('orbitProperties_pass', 'ASCENDING')) \\\n",
        "                    .filter(ee.Filter.eq('resolution_meters', 10)) \\\n",
        "                    .filterBounds(aoi) \\\n",
        "                    .filterDate(start, finish) \\\n",
        "                    .select('VH')\n",
        "\n",
        "def func_crt(image):\n",
        "                        edge = image.lt(-30.0)\n",
        "                        maskedImage = image.mask().And(edge.Not())\n",
        "                        return image.updateMask(maskedImage) \\\n",
        "                    .map(func_crt) \\\n",
        "                    .map(maskVH)\n",
        "                    # .map(MedianVH)\n",
        "                    # .select('Sigma0_VH')\n",
        "\n",
        "#* Combining both image collections (Sigma0_VV and Sigma0_VH): #\n",
        "sentinel1 = sentinel1VV.combine(sentinel1VH)\n",
        "#print(sentinel1, \"Sentinel-1 filtered images\")\n",
        "\n",
        "max = sentinel1.first().reduceRegion({\n",
        "  'reducer': ee.Reducer.max(),\n",
        "  'geometry':aoi,\n",
        "  'scale': 10,\n",
        "  'maxPixels': 1e13\n",
        "})\n",
        "print(max)\n",
        "\n",
        "min= sentinel1.first().reduceRegion({\n",
        "  'reducer': ee.Reducer.min(),\n",
        "  'geometry':aoi,\n",
        "  'scale': 10,\n",
        "  'maxPixels': 1e13\n",
        "})\n",
        "print(min)\n",
        "\n",
        "Map.setCenter(114.277, 22.5, 10)\n",
        "\n",
        "Map.addLayer(sentinel1.mean(), {'min': -30, 'max': -4}, 'S1')\n",
        "\n",
        "def indices(image):\n",
        "  CR = image.expression(\n",
        "    'VH/VV', {\n",
        "      # 'VH': image.select('Sigma0_VH'),\n",
        "      # 'VV': image.select('Sigma0_VV')\n",
        "      'VH': image.select('VH'),\n",
        "      'VV': image.select('VV')\n",
        "    })\n",
        "  return image.addBands([CR.rename(\"CR\")])\n",
        "\n",
        "S1 = sentinel1.map(indices)\n",
        "\n",
        "#* Mosaicking Sentinel-1 scenes by date #\n",
        "# Difference in days between start and finish\n",
        "diff = finish.difference(start, 'month')\n",
        "#print(diff, \"Difference of months\")\n",
        "\n",
        "# Make a list of all dates\n",
        "\n",
        "range = ee.List.sequence(0, diff.subtract(1)).map(function(day){return start.advance(day,'month')});\n",
        "\n",
        "def func_ark(day):\n",
        "  return start.advance(day,'month')\n",
        "\n",
        "\n",
        "range = ee.List.sequence(0, diff.subtract(1)).map(function(day){return start.advance(day,'month')}\n",
        "range = ee.List.sequence(0, diff.subtract(1)).map(func_ark)\n",
        "\n",
        "\n",
        "\n",
        "print(range, \"List of all months\")\n",
        "\n",
        "# Funtion for iteraton over the range of dates\n",
        "def day_mosaics(date, newlist):\n",
        "  # Cast\n",
        "  date = ee.Date(date)\n",
        "  newlist = ee.List(newlist)\n",
        "\n",
        "  # Filter collection between date and the next day\n",
        "  filtered = S1.filterDate(date, date.advance(1,'month'))\n",
        "\n",
        "  # get date as YEARMONTHDAY. For example, for January 8th 2010\n",
        "  # would be: 20100108\n",
        "  date_formatted = ee.Date(date)\n",
        "\n",
        "  # Make the mosaic\n",
        "  image = ee.Image(filtered.mosaic()).set('system:time_start', date_formatted)\n",
        "  # image = ee.Image(filtered.max()).set('system:time_start', date_formatted)\n",
        "  # Add the mosaic to a list only if the collection has images\n",
        "  return ee.List(ee.Algorithms.If(filtered.size(), newlist.add(image), newlist))\n",
        "\n",
        "# Iterate over the range to make a new list, and then cast the list to an imagecollection\n",
        "newcols1 = ee.ImageCollection(ee.List(range.iterate(day_mosaics, ee.List([]))))\n",
        "#print(newcols1, \"Collection with Sentinel-1 mosaic images\")\n",
        "clipshape = ee.Geometry.Polygon([[[113.800, 22.570],[113.800, 22.120],[114.514, 22.120],[114.514, 22.570]]])\n",
        "\n",
        "def exportImageCollection(imgCol):\n",
        "\n",
        "  indexList = imgCol.reduceColumns(ee.Reducer.toList(), [\"system:index\"]) \\\n",
        "                        .get(\"list\")\n",
        "\n",
        "  indexList.evaluate(function(indexs) {\n",
        "\n",
        "    for i in range(i=0, indexs.length, 1):\n",
        "\n",
        "      image = imgCol.filter(ee.Filter.eq(\"system:index\", indexs[i])).first()\n",
        "      img_date = ee.Date(image.get('system:time_start')).format('yyyy-MM-dd')\n",
        "\n",
        "      strdate = img_date.getInfo()\n",
        "\n",
        "      image = image.focal_mean(2.5, 'square', 'pixels')\n",
        "\n",
        "      # image = image.toInt16()\n",
        "\n",
        "      Export.image.toDrive({\n",
        "        'folder': 's1_img',\n",
        "        'image': image.clip(clipshape),\n",
        "\n",
        "        'description': strdate,\n",
        "\n",
        "        'fileNamePrefix': strdate,\n",
        "\n",
        "        'region': clipshape,\n",
        "\n",
        "        'scale': 10,\n",
        "\n",
        "        'crs': \"EPSG:4326\",\n",
        "\n",
        "        'maxPixels': 1e13\n",
        "\n",
        "      })\n",
        "      Map.addLayer(image, {'min': -30, 'max': -4}, strdate)\n",
        "\n",
        "  })\n",
        "\n",
        "print(newcols1)\n",
        "exportImageCollection(newcols1)\n",
        "Map.addLayer(clipshape)\n",
        "# print(newcols1.size())\n",
        "# print(newcols1.first().get('system:time_start'))\n",
        "# Map.addLayer(clipshape)\n",
        "# batch = require('users/fitoprincipe/geetools:batch')\n",
        "# batch.Download.ImageCollection.toDrive(newcols1, \"s1_img\",\n",
        "# {\n",
        "#   name: \"S1_{system:time_start}\",\n",
        "#   scale: 10,\n",
        "#   region:clipshape,\n",
        "#   crs:\"EPSG:4326\",\n",
        "#   maxPixels: 1e13\n",
        "# })\n",
        "\n",
        "print(\"Completed script. Tasks are available to run.\")\n"
      ]
    }
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