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

descriptionPublicationkeyboard_double_arrow_right Article Under curationPublisher:ZenodoFunded by:EC | FORWARDS
Authors: D'Amico, Giovanni; Botticelli, Davide; Marcelli, Giacomo; Mattioli, Walter; Chirici, Gherardo; Vangi, Elia; Borghi, Costanza; +6 Authors

doi: 10.1016/j.dib.2026.112945

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

Abstract

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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