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 large dataset (500+ images) of past wildfire from Copernicus EMS using Sentinel-2 images in the period 2017- 2023

A developer’s guide to Copernicus products and services driven by examples.

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.

The CH-GEE app generates 10 m resolution canopy height maps by integrating GEDI Rh metrics with multi-source remote sensing data (radar, optical, and topographical features)

Homeworks for the course Earth Observation Data Analysis, 2020, Sapienza University of Rome

FORTRAN codes to compute barotrophic geostrophic velocities using SSH/SLA anomalies data

Map with oceanographic data (forecast and analysis)