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

This project is a toolset for harvesting and processing Sentinel-2 acquisition plans, extracting relevant Area of Interest (AOI) polygons, and merging the data into CSV files. The scripts allow users to extract acquisition data from Sentinel-2 .kml files, define an AOI polygon, and filter acquisition dates.

Estimación de turbidez en el agua a la entrada de la planta de tratamiento de SAMEEP, utilizando los productos Sentinel-2 MSI L2A y aprendizaje automático.

Satellite image time series in R

GPU accelerated earth observation data processors

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

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

Quick start guide for benchmarking MagicBathyNet dataset in learning-based bathymetry and pixel-based classification using Remote Sensing imagery.

For CASSINI Hackathon EUREL team

Sentinel 2 True Color Cloud-Optimized GeoTIFF (COG) Generator and Viewer

Global shoreline mapping tool from satellite imagery

Use of Sentinel2 time serie to detect spruce dieback

A python toolbox for easily searching, downloading & processing remote sensing imagery from various public sources. Includes a Sentinel-1 InSAR processor.

Tools and tutorials for the SALDi Data Cube (SDC).

Download and process satellite imagery in JavaScript or TypeScript using Sentinel Hub services.

Search, composite, and download Google Earth Engine imagery.

Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and Xarray

EuroCropsML is a ready-to-use benchmark dataset for few-shot crop type classification using Sentinel-2 imagery.

S2coastalbot is a Mastodon bot that posts Sentinel-2 images acquired recently over coastal areas.

The official repository for the EuroCrops dataset.