Remote-sensing opensource python library reading optical and SAR sensors, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.
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Updated
Sep 9, 2025 - Python
Remote-sensing opensource python library reading optical and SAR sensors, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.
The STARFM fusion model for Python
Tool to download Sentinel images from PEPS sentinel mirror site : https://peps.cnes.fr
Download and process satellite imagery in JavaScript or TypeScript using Sentinel Hub services.
Vegetation trait retrieval with remote sensing data in Google Earth Engine and openEO
A Python API for data discovery on Copernicus Data Space Ecosystem
Automatization of ESA Sentinel-3 images query and download
Repository of WEkEO Jupyter Notebooks for machine learning applications with EUMETSAT Copernicus marine data, in support of the 2020 Liege Colloquium.
Unsupervised and supervised learning for satellite image classification
Mostly used optical indices with satellite images for studying earth surface and different features and their changes in spatio-temporal scale.
Repository of python-based Jupyter Notebooks for learning about using the Copernicus Sentinel-3 SLSTR sensor for marine applications.
A pure Julia package for querying and downloading Sentinel data.
Repository of python-based Jupyter Notebooks for learning about using the Copernicus Sentinel-3 OLCI sensor for marine applications.
Repository of python-based Jupyter Notebooks for learning about using the Copernicus Sentinel-3 SRAL sensor for marine applications.
CopernicusData is a framework for Earth Observation satellite data processing
codes for JSTARS paper: Multitemporal Mosaicing for Sentinel-3/FLEX Derived Level-2 Product Composites
codes for JSTARS paper: Sentinel-3/FLEX Biophysical Product Confidence Using Sentinel-2 Land-Cover Spatial Distributions
Quick data visualisation of thermal data for airborne campaign planning
Repository for the handover for Algae Storm project by RISE and SMHI
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