Region of Interest detection on satellite images for weather changes
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Updated
Oct 31, 2019 - Python
Region of Interest detection on satellite images for weather changes
A python package to provide easy access to the Arlula Satellite Imagery Archive
A package to facilitate access to the Arlula Imagery Marketplace API
<geosys/> picture library is a set of illustrations and screenshots from and related with EarthDaily Agro service portfolio that can be freely use to ease deck, online publication and content creation.
CNN for predicting crop yield
This project aims to explore satellite image dataset in order to create a CNN model for wildfire prediction problem. Explainability with ELI5 and GradCAM could be an interesting integration to be tested.
A repo to segment the satellite images semantically with the aid of Convolutional Neural Networks
Dynamic wallpaper for Raspberry Pi showing day and night regions on the globe
Assignments as given in the course of CSE545. All assignments are part of this course
Klassifikation von Satellitenbildern mit TensorFlow
Ottenere Immagini Satellitari Meteo da MeteoAM (Meteo Areonautica Militare)
Reconfigures ENVI imagery data (ascii file) for analysis using a data science programing language (e.g. Matlab or Python)
download Baidu 19-level tiles by GCJ coordinates
PyTorch implementation of segmentation on Gottingen Aerial dataset
A QGIS plugin to interface with the Arlula Satellite Imagery Archive.
Soil erosion prediction in PyTorch (using Sentinel-2 data and LUCAS dataset)
This repository shows how to get satellite images to build a dataset to train a neural network. It use the MiniFrance land cover dataset, Google-Earth-Engine to download satellite images, and Pytorch to train a neural network.
Remote Sensing & Satellite Imagery - CMP2024 - Computer Engineering - Cairo University
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