Add datasets

.gitignore

@@ -39,7 +39,6 @@ cdk.context.json
 env.sh
 .env
 
-
 .hypothesis
 Makefile
 

data/datasets/barc-thomasfire.json

@@ -0,0 +1,33 @@
+{
+  "collection": "barc-thomasfire",
+  "title": "Burn Area Reflectance Classification for Thomas Fire",
+  "description": "Burn Area Reflectance Classification (BARC) from the Burned Area Emergency Response (BAER) program for Thomas fire, 2017",
+  "license": "CC0-1.0",
+  "is_periodic": false,
+  "time_density": null,
+  "spatial_extent": {
+    "xmin": -119.73,
+    "ymin": 34.19,
+    "xmax": -118.88,
+    "ymax": 34.73
+  },
+  "temporal_extent": {
+    "startdate": "2017-12-01T00:00:00Z",
+    "enddate": "2017-12-01T23:59:59Z"
+  },
+  "sample_files": [
+    "s3://veda-data-store-staging/EIS/COG/Fire-Hydro/thomas_fire_barc_201712.cog.tiff"
+  ],
+  "discovery_items": [
+    {
+      "discovery": "s3",
+      "cogify": false,
+      "upload": false,
+      "dry_run": false,
+      "prefix": "EIS/COG/Fire-Hydro/",
+      "bucket": "veda-data-store-staging",
+      "filename_regex": "(.*)thomas_fire_barc(.*).tiff$",
+      "datetime_range": "month"
+    }
+  ]
+}

data/datasets/conus-reach.json

@@ -0,0 +1,34 @@
+{
+  "collection": "conus-reach",
+  "title": "Stream network across the Contiguous United States",
+  "description": "This dataset describes the Stream network across the Contiguous United States delineated using Soil and Water Assessment Tool.",
+  "license": "CC0-1.0",
+  "is_periodic": false,
+  "time_density": null,
+  "spatial_extent": {
+    "xmin": -127.78,
+    "ymin": 23.36,
+    "xmax": -65.61,
+    "ymax": 51.45
+  },
+  "temporal_extent": {
+    "startdate": "2020-01-01T00:00:00Z",
+    "enddate": "2020-01-01T23:59:59Z"
+  },
+  "sample_files": [
+    "s3://veda-data-store-staging/EIS/COG/Water-Quality/CONUS_Reach_2020.cog.tif"
+  ],
+  "discovery_items": [
+    {
+      "discovery": "s3",
+      "cogify": false,
+      "upload": false,
+      "dry_run": false,
+      "prefix": "EIS/COG/Water-Quality/",
+      "bucket": "veda-data-store-staging",
+      "filename_regex": "(.*)CONUS_Reach(.*).cog.tif$",
+      "datetime_range": "year"
+    }
+  ],
+  "data_type": "cog"
+}

data/datasets/disalexi-etsuppression.json

@@ -0,0 +1,33 @@
+{
+    "collection": "disalexi-etsuppression",
+    "title": "Change in ET for fires using DisALEXI model",
+    "description": "Change in ET using DisALEXI model of OpenET observations for 2017-20 fires, calculated as the difference of ET in the immediate post-fire water year from ET in the immediate pre-fire water year. The difference is normalized by pre-fire ET and negative values denote vegetation disturbance induced by fire or by a climatological anomaly resulting in the decline in ET.",
+    "license": "CC0-1.0",
+    "is_periodic": true,
+    "time_density": "year",
+    "spatial_extent": {
+      "xmin": -125.35,
+      "ymin": 29.83,
+      "xmax": -108.12,
+      "ymax": 49.04
+    },
+    "temporal_extent": {
+      "startdate": "2017-10-01T00:00:00Z",
+      "enddate": "2020-10-01T00:00:00Z"
+    },
+    "sample_files": [
+      "s3://veda-data-store-staging/EIS/COG/Fire-Hydro/disalexi_etsuppression_2020.cog.tiff"
+    ],
+    "discovery_items": [
+      {
+        "discovery": "s3",
+        "cogify": false,
+        "upload": false,
+        "dry_run": false,
+        "prefix": "EIS/COG/Fire-Hydro/",
+        "bucket": "veda-data-store-staging",
+        "filename_regex": "(.*)disalexi_etsuppression_(.*).cog.tiff$",
+        "datetime_range": "year"
+      }
+    ]
+  }

data/datasets/frp-max-thomasfire.json

@@ -0,0 +1,34 @@
+{
+  "collection": "frp-max-thomasfire",
+  "title": "Maximum Fire Radiative Power for Thomas Fire",
+  "description": "Maximum Fire Radiative Power per 12hr fire line segment for Thomas fire of 2017",
+  "license": "CC0-1.0",
+  "is_periodic": false,
+  "time_density": null,
+  "spatial_extent": {
+    "xmin": -119.73,
+    "ymin": 34.19,
+    "xmax": -118.88,
+    "ymax": 34.73
+  },
+  "temporal_extent": {
+    "startdate": "2017-12-01T00:00:00Z",
+    "enddate": "2017-12-01T23:59:59Z"
+  },
+  "sample_files": [
+    "s3://veda-data-store-staging/EIS/COG/Fire-Hydro/thomas_fire_frpmax_201712.cog.tiff"
+  ],
+  "discovery_items": [
+    {
+      "discovery": "s3",
+      "cogify": false,
+      "upload": false,
+      "dry_run": false,
+      "prefix": "EIS/COG/Fire-Hydro/",
+      "bucket": "veda-data-store-staging",
+      "filename_regex": "(.*)thomas_fire_frpmax(.*).tiff$",
+      "datetime_range": "month"
+    }
+  ],
+  "data_type": "cog"
+}

data/datasets/houston-landcover.json

@@ -0,0 +1,33 @@
+{
+  "collection": "houston-landcover",
+  "title": "Houston Land Cover",
+  "description": "MODIS-derived land use-land cover over the Houston metro area (zoomed-in extent). Displays colors 0-255 from a lookup table for land cover type (ex: reds = urbanized).",
+  "license": "CC0-1.0",
+  "is_periodic": false,
+  "time_density": null,
+  "spatial_extent": {
+    "xmin": -96.00,
+    "ymin": 29.80,
+    "xmax": -94.29,
+    "ymax": 30.40
+  },
+  "temporal_extent": {
+    "startdate": "2001-01-01T00:00:00Z",
+    "enddate": "2019-12-31T23:59:59Z"
+  },
+  "sample_files": [
+    "s3://veda-data-store-staging/houston-landcover/HOUS_DFAL_Z_f_landcover_2001.tif"
+  ],
+  "discovery_items": [
+    {
+      "discovery": "s3",
+      "cogify": false,
+      "upload": false,
+      "dry_run": false,
+      "prefix": "houston-landcover/",
+      "bucket": "veda-data-store-staging",
+      "filename_regex": "(.*)HOUS_DFAL_Z_f(.*).tif$",
+      "datetime_range": "year"
+    }
+  ]
+}

data/datasets/houston-lst-day.json

@@ -0,0 +1,34 @@
+{
+  "collection": "houston-lst-day",
+  "title": "Houston land surface temperature during daytime - decadal average",
+  "description": "MODIS-calculated Land Surface Temperature (LST) Daytime over the Houston metro area, decadally averaged.",
+  "license": "CC0-1.0",
+  "is_periodic": false,
+  "time_density": "year",
+  "spatial_extent": {
+    "xmax": -94.00,
+    "ymax": 31.00,
+    "xmin": -97.00,
+    "ymin": 28.00
+  },
+  "temporal_extent": {
+    "startdate": "2000-01-01T00:00:00Z",
+    "enddate": "2019-12-31T23:59:59Z"
+  },
+  "sample_files": [
+    "s3://veda-data-store-staging/houston-lst-day/LST_Day_1km_2000_2009_cog.tif",
+    "s3://veda-data-store-staging/houston-lst-day/LST_Day_1km_2010_2019_cog.tif"
+  ],
+  "discovery_items": [
+    {
+      "discovery": "s3",
+      "cogify": false,
+      "upload": false,
+      "dry_run": false,
+      "prefix": "houston-lst-day/",
+      "bucket": "veda-data-store-staging",
+      "filename_regex": "^(.*)LST_Day_1km(.*).tif$",
+      "datetime_range": "year"
+    }
+  ]
+}

data/datasets/houston-lst-diff.json

@@ -0,0 +1,33 @@
+{
+  "collection": "houston-lst-diff",
+  "title": "Houston LST (Diff)",
+  "description": "Changes in decadally averaged land surface temperature (LST, daytime) in the Houston metro area. The higher the value, the larger the increase.",
+  "license": "CC0-1.0",
+  "is_periodic": false,
+  "time_density": null,
+  "spatial_extent": {
+    "xmax": -94.00,
+    "ymax": 31.00,
+    "xmin": -97.00,
+    "ymin": 28.00
+  },
+  "temporal_extent": {
+    "startdate": "2000-01-01T00:00:00Z",
+    "enddate": "2019-12-31T23:59:59Z"
+  },
+  "sample_files": [
+    "s3://climatedashboard-data/houston/houston-lst-diff_2000_2019.tif"
+  ],
+  "discovery_items": [
+    {
+      "discovery": "s3",
+      "cogify": false,
+      "upload": true,
+      "dry_run": false,
+      "prefix": "houston",
+      "bucket": "climatedashboard-data",
+      "filename_regex": "^(.*)houston-lst-diff(.*).tif$",
+      "datetime_range": "year"
+    }
+  ]
+}

data/datasets/houston-lst-night.json

@@ -0,0 +1,34 @@
+{
+  "collection": "houston-lst-night",
+  "title": "Houston land surface temperature at night time - decadal average",
+  "description": "MODIS-calculated Land Surface Temperature (LST) Nighttime over the Houston metro area, decadally averaged.",
+  "license": "CC0-1.0",
+  "is_periodic": false,
+  "time_density": "year",
+  "spatial_extent": {
+    "xmax": -94.00,
+    "ymax": 31.00,
+    "xmin": -97.00,
+    "ymin": 28.00
+  },
+  "temporal_extent": {
+    "startdate": "2000-01-01T00:00:00Z",
+    "enddate": "2019-12-31T23:59:59Z"
+  },
+  "sample_files": [
+    "s3://veda-data-store-staging/houston-lst-night/LST_Night_1km_2010_2019_cog.tif",
+    "s3://veda-data-store-staging/houston-lst-night/LST_Night_1km_2000_2009_cog.tif"
+  ],
+  "discovery_items": [
+    {
+      "discovery": "s3",
+      "cogify": false,
+      "upload": false,
+      "dry_run": false,
+      "prefix": "houston-lst-night/",
+      "bucket": "veda-data-store-staging",
+      "filename_regex": "^(.*)LST_Night_1km(.*).tif$",
+      "datetime_range": "year"
+    }
+  ]
+}

data/datasets/houston-ndvi.json

@@ -0,0 +1,35 @@
+{
+  "collection": "houston-ndvi",
+  "title": "Houston NDVI: decadal average",
+  "description": "MODIS-calculated Normalized Difference Vegation Index (NDVI) over the Houston metro area, decadally averaged.",
+  "license": "CC0-1.0",
+  "is_periodic": true,
+  "time_density": "year",
+  "spatial_extent": {
+    "xmax": -94.00,
+    "ymax": 31.00,
+    "xmin": -97.00,
+    "ymin": 28.00
+  },
+  "temporal_extent": {
+    "startdate": "2000-01-01T00:00:00Z",
+    "enddate": "2019-12-31T23:59:59Z"
+  },
+  "sample_files": [
+    "s3://veda-data-store-staging/houston-ndvi/NDVI_2000_2009_cog.tif",
+    "s3://veda-data-store-staging/houston-ndvi/NDVI_2010_2019_cog.tif"
+  ],
+  "discovery_items": [
+    {
+      "discovery": "s3",
+      "cogify": false,
+      "upload": false,
+      "dry_run": false,
+      "prefix": "houston-ndvi/",
+      "bucket": "veda-data-store-staging",
+      "filename_regex": "^(.*)NDVI_(.*).tif$",
+      "datetime_range": "year"
+    }
+  ],
+  "data_type": "cog"
+}

data/datasets/lis-da-gpp-trend.json

@@ -0,0 +1,34 @@
+{
+    "collection": "lis-global-da-gpp-trend",
+    "title": "Gross Primary Productivity Trend - LIS 10km Global DA",
+    "description": "Gridded trend in gross primary productivity (theil-sen slope estimation in gC m-2 yr-1) from 10km global LIS with assimilation",
+    "license": "CC0-1.0",
+    "is_periodic": false,
+    "time_density": null,
+    "spatial_extent": {
+      "xmin": -179.95,
+      "ymin": -59.45,
+      "xmax": 179.95,
+      "ymax": 83.55
+    },
+    "temporal_extent": {
+      "startdate": "2003-01-01T00:00:00Z",
+      "enddate": "2021-12-31T23:59:59Z"
+    },
+    "sample_files": [
+      "s3://veda-data-store-staging/EIS/COG/LIS_GLOBAL_DA/DA_Trends/DAGPP_STL_based_trendv2_2003_2021.cog.tif"
+    ],
+    "discovery_items": [
+      {
+        "discovery": "s3",
+        "cogify": false,
+        "upload": false,
+        "dry_run": false,
+        "prefix": "EIS/COG/LIS_GLOBAL_DA/DA_Trends/",
+        "bucket": "veda-data-store-staging",
+        "filename_regex": "(.*)DAGPP_STL_based_trendv2_2003_2021.cog.tif$",
+        "datetime_range": "year"
+      }
+    ],
+    "data_type": "cog"
+  }

data/datasets/lis-da-tws-trend.json

@@ -0,0 +1,34 @@
+{
+  "collection": "lis-global-da-tws-trend",
+  "title": "Terrestrial Water Storage Trend - LIS 10km Global DA",
+  "description": "Gridded trend in terrestrial water storage (theil-sen slope estimation in mm yr-1) from 10km global LIS with assimilation",
+  "license": "CC0-1.0",
+  "is_periodic": false,
+  "time_density": null,
+  "spatial_extent": {
+    "xmin": -179.95,
+    "ymin": -59.45,
+    "xmax": 179.95,
+    "ymax": 83.55
+  },
+  "temporal_extent": {
+    "startdate": "2003-01-01T00:00:00Z",
+    "enddate": "2021-12-31T23:59:59Z"
+  },
+  "sample_files": [
+    "s3://veda-data-store-staging/EIS/COG/LIS_GLOBAL_DA/DA_Trends/DATWS_STL_based_trendv2_2003_2021.cog.tif"
+  ],
+  "discovery_items": [
+    {
+      "discovery": "s3",
+      "cogify": false,
+      "upload": false,
+      "dry_run": false,
+      "prefix": "EIS/COG/LIS_GLOBAL_DA/DA_Trends/",
+      "bucket": "veda-data-store-staging",
+      "filename_regex": "(.*)DATWS_STL_based_trendv2_2003_2021.cog.tif$",
+      "datetime_range": "year"
+    }
+  ],
+  "data_type": "cog"
+}