A ready-to-use curated list of Spectral Indices for Remote Sensing applications.

Sentinel Hub Cloud Detector for Sentinel-2 images in Python

The Clay Foundation Model - An open source AI model and interface for Earth

Remote-sensing opensource python library reading optical and SAR sensors, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.

A collection of all earth related space Images in one script to set as your Desktop background.

On-Demand Earth System Data Cubes (ESDCs) in Python

This repository contains the code used in the paper: A high-resolution canopy height model of the Earth. Here, we developed a model to estimate canopy top height anywhere on Earth. The model estimates canopy top height for every Sentinel-2 image pixel and was trained using sparse GEDI LIDAR data as a reference.

DSen2-CR: A network for removing clouds from Sentinel-2 images. This repo contains the model code, written in Python/Keras, as well as links to pre-trained checkpoints and the SEN12MS-CR dataset.

a deep model that segments water on multispectral images

The STARFM fusion model for Python

Earth Observation Data Analysis Library

Search, composite, and download Google Earth Engine imagery.

Tool to download Sentinel images from PEPS sentinel mirror site : https://peps.cnes.fr

Near Real Time monitoring of satellite image time-series

Nadir BRDF Adjusted Reflectance (NBAR) for Sentinel-2 in Python

To process a Sentinel-2 time series with MAJA cloud detection and atmospheric correction processor

To download products provided by Theia land data center : https://theia.cnes.fr

Self-Supervised SISR for Sentinel-2 L1B Imagery