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.

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

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

Repository of WEkEO Jupyter Notebooks for machine learning applications with EUMETSAT Copernicus marine data, in support of the 2020 Liege Colloquium.

Automatization of ESA Sentinel-3 images query and download

Unsupervised and supervised learning for satellite image classification

Repository of python-based Jupyter Notebooks for learning about using the Copernicus Sentinel-3 SRAL sensor for marine applications.

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.

Repository of python-based Jupyter Notebooks for learning about using the Copernicus Sentinel-3 SRAL sensor for marine applications.