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
Jul 11, 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
Consolidated repository of Jupyter Notebooks for learning about EUMETSAT satellite data for marine applications. This code is a partial mirror of the repositories on https://gitlab.eumetsat.int/eumetlab/oceans/ocean-training
Compare Spectrograms of Hyperspectral and Multispectral Satellite Missions
Repository of python-based Jupyter Notebooks for learning about using the Copernicus Sentinel-3 OLCI sensor for marine applications.
Automatization of the SEN-et SNAP plugin for multi-temporal analysis
Repository of python-based Jupyter Notebooks for learning about using the Copernicus Sentinel-3 SRAL sensor for marine applications.
Deep learning for Synthetic Aperture Radar(SAR) and Radiometry data. An Ensemble Convolutional Neural Network workflow is implemented with data acquisition, processing, labelling, creating model, training model and launching a model
Unsupervised and supervised learning for satellite image classification
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.
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.
Repository of python-based Jupyter Notebooks for learning about using the Copernicus Sentinel-3 SLSTR sensor for marine applications.
codes for JSTARS paper: Sentinel-3 Super-Resolution based on Dense Multi-Receptive Channel Attention
A pure Julia package for querying and downloading Sentinel data.
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