Published June 6, 2026 | Version v1
Journal article Open

A multi-source remote sensing dataset for large-scale forest monitoring

  • 1. ROR icon University of Florence
  • 2. Consiglio per la ricerca in agricoltura e l'analisi dell'economia agraria
  • 3. CREA - Council for Agricultural Research and Economics
  • 4. ROR icon Norwegian Institute of Bioeconomy Research
  • 5. ROR icon Natural Resources Institute Finland

Description

This data article presents a multi-source dataset of satellite- based auxiliary data designed for forest modelling and monitoring. The dataset integrates annual medoid composites derived from Sentinel-1, Sentinel-2, and Landsat imagery, together with spectral indices, Landsat-based 3I3D change metrics, forest mask and forest type layers, and terrain variables derived from the Copernicus GLO-30 DEM, offering comprehensive information on forest cover, spectral behavior, and change metrics. 

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Additional details

Funding

European Commission
FORWARDS - The ForestWard Observatory to Secure Resilience of European Forests 101084481