There are 11 repositories under earth-observation topic.
Resources for deep learning with satellite & aerial imagery
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
A curated list of awesome tools, tutorials, code, helpful projects, links, stuff about Earth Observation and Geospatial stuff!
SpatioTemporal Asset Catalog specification - making geospatial assets openly searchable and crawlable
A repository of custom scripts to be used with Sentinel Hub
framework for large-scale SAR satellite data processing
:globe_with_meridians: List of 500+ geospatial companies (GIS, Earth Observation, UAV, Satellite, Digital Farming, ..)
🌱 Deep Learning for Instance Segmentation of Agricultural Fields - Master thesis
Geospatial Raster support for Spark DataFrames
Xarray backend to Copernicus Sentinel-1 satellite data products
A library to create interactive maps of geographical datasets
The Raster Foundry web application.
A Curated List of Python Resources for Earth Sciences
Search and download Landsat scenes from EarthExplorer.
Sample sample scripts and notebooks on processing satellite imagery
Level-2A processor used for atmospheric correction and cloud-detection. The active repository is the one below, this one is kept to leave access to the older issues.
PyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention"
Algorithms for computing global land surface temperature and emissivity from NASA's Landsat satellite images with Python.
Climate Data Science and Earth Observation with Python.
:earth_americas: Python SDK for UP42, the geospatial marketplace and developer platform.
Tool to download Sentinel images from PEPS sentinel mirror site : https://peps.cnes.fr
Interactive tools for spectral mixture analysis of multispectral raster data in Python
Remote Sensing and GIS Software Library; python module tools for processing spatial data.
A tutorial for Synthetic Aperture Radar Tomography
Simple application for using Sentinel-2 WMS service
Visualize classified time series data with interactive Sankey plots in Google Earth Engine
Remote-sensing opensource python library reading optical and SAR sensors, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.
Examples for a blog series on Geospatial Julia using ArchGDAL