Global Precipitation Measurement Mission (GPM) python package to download and analyze data with xarray
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Updated
Nov 11, 2024 - Jupyter Notebook
Global Precipitation Measurement Mission (GPM) python package to download and analyze data with xarray
Satip contains the code necessary for retrieving, transforming and storing EUMETSAT data
Repository containing presentations made during the Copernicus Earth Observation Data Visualisation workshop series (16 May to 20 June 2023), including links to the resulting best practice guide.
Android application on Google Play. Animated planet Earth with live weather and satellite data.
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
Repository of WEkEO Jupyter Notebooks for learning about the Sentinel-3 OLCI sensor for marine applications
Repository containing the read-the-docs source code for the good practice guide, developed as part of the Copernicus Earth Observation Data Visualisation Workshop series, held between 16 May to 20 June, 2023.
Contains information and resources for Copernicus Hackathon 2018 in Helsinki
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.
Repository of WEkEO Jupyter Notebooks for learning about the Sentinel-3 SRAL sensor for marine applications
Python bindings for EUMETSAT's PublicDecompWT
Repository of WEkEO Jupyter Notebooks for learning about the Sentinel-3 SLSTR sensor for marine applications
🌍 A short remote sensing project, analysing satellite images of the Earth.
Jupyter Notebooks for accessing and downloading regional and point-location ocean satellite data from CMEMS, ESA OC-CCI, ESA BICEP, EUMETSAT, NASA Ocean Colour and NOAA CoastWatch.
This repository contains all code and resources relevant for demonstrations of multi-cloud exploitation of EUMETSAT data.
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