A Python API for data discovery on Copernicus Data Space Ecosystem
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Updated
Jul 26, 2024 - Python
A Python API for data discovery on Copernicus Data Space Ecosystem
Sentinel-5P: Processing and handling NO2 measured values in R
Python class to download the Pan European High Resolution Vegetation Phenology and Productivity
A developer’s guide to Copernicus products and services driven by examples.
A large dataset (500+ images) of past wildfire from Copernicus EMS using Sentinel-2 images in the period 2017- 2023
Detecting vegetation anomalies from CGLS products (e.g. NDVI)
Set of Jupyter notebooks and geospatial data developed by the MAPSPADES project to study desertification in the Algerian steppe using EO data.
Map with oceanographic data (forecast and analysis)
FORTRAN codes to compute barotrophic geostrophic velocities using SSH/SLA anomalies data
Homeworks for the course Earth Observation Data Analysis, 2020, Sapienza University of Rome
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