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

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

Sentinel Hub Cloud Detector for Sentinel-2 images in Python

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

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

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

OmniCloudMask is a Python library for fast, accurate cloud and cloud shadow segmentation in satellite imagery.

Earth Observation Data Analysis Library

Implementation of Latent Diffusion Super-Resolution model for RGB-NIR Sen2 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

A python toolbox for easily downloading and processing Sentinel-1 SLC, Sentinel-2 and DEM data.

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