There are 1 repository under sentinel-3 topic.
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
Repository of WEkEO Jupyter Notebooks for learning about EUMETSAT Copernicus 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 WEkEO Jupyter Notebooks for learning about the Sentinel-3 OLCI 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
Automatization of the SEN-et SNAP plugin for multi-temporal analysis
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 WEkEO Jupyter Notebooks for learning about the Sentinel-3 SRAL sensor for marine applications
Repository of WEkEO Jupyter Notebooks for machine learning applications with EUMETSAT Copernicus marine data, in support of the 2020 Liege Colloquium.
Repository of WEkEO Jupyter Notebooks for examples of marine case studies featuring EUMETSAT and/or CMEMS data.
A pure Julia package for querying and downloading Sentinel data.
Repository of WEkEO Jupyter Notebooks for learning about the Sentinel-3 SLSTR sensor for marine applications
Chl-tsm with C2RCC processor (OLCI-Sentinel 3). SNAP Guide
codes for JSTARS paper: Sentinel-3/FLEX Biophysical Product Confidence Using Sentinel-2 Land-Cover Spatial Distributions
codes for JSTARS paper: Multitemporal Mosaicing for Sentinel-3/FLEX Derived Level-2 Product Composites
Quick data visualisation of thermal data for airborne campaign planning