CanopySat Open Library

An open repository of scientific publications, datasets and technical reports using CanopySat satellite data. All contributions are peer-reviewed by the CanopySat team and published with full author credit.

4 Publications
4 Datasets
Open Access
Peer Reviewed
Publications (4)
Datasets (4)
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PUBLICATION
Validation of CanopySat Bioclimatic Envelope Assessment (BEA) for Forest Species Climate Suitability β€” Comparison Against Published MaxEnt Studies across 5 Global Biomes
Raymond Sauti
CanopySat β€” Forest Intelligence Ecosystem Β· Belgium
This report validates the CanopySat Bioclimatic Envelope Assessment (BEA) methodology for predicting forest species climate suitability under 2050 climate projections (SSP2-4.5). BEA results across five global biomes are compared against published MaxEnt species distribution models. Results show 5/5...
species suitability BEA MaxEnt climate change SSP245 GBIF CMIP6 tropical temperate boreal forest biodiversity 2050
Published: 2026-09-30
PUBLICATION
Independent Validation of CanopySat Carbon Assessment β€” Comparison Against GFW/WHRC, FAO FRA 2020 and ESA CCI Biomass
Raymond Sauti
CanopySat β€” Forest Intelligence Ecosystem Β· Belgium
This report presents an independent validation of CanopySat satellite-based carbon assessment methodology against three major global reference datasets across five global biomes. Results demonstrate a mean absolute error of 0.8% between CanopySat estimates and reference dataset means, confirming the...
validation carbon biomass AGB GEDI Sentinel-2 GFW FAO ESA CCI IPCC tropical temperate boreal
Published: 2026-09-29
PUBLICATION
CanopySat Independent Validation Report v1.0 β€” Comparison Against Hansen/UMD GFW 2025, FAO FRA 2020 and ESA WorldCover 2021
Raymond Sauti β€” Forest Engineer & GeoSpatial Software Engineer
CanopySat — Forest Intelligence Ecosystem · Liège, Belgium · Belgium
Scientific credibility requires independent validation. This report presents a systematic comparison of CanopySat forest monitoring results against three major global reference datasets: (1) the Hansen/UMD Global Forest Change 2025 β€” the world most cited forest monitoring dataset, (2) the FAO Global...
validation Hansen/UMD FAO FRA 2020 ESA WorldCover forest cover Sentinel-2 Landsat Google Earth Engine deforestation
Published: 2026-09-21
PUBLICATION
Satellite-Based Forest Integrity Assessment Using Sentinel-2 and Landsat Time Series: The CanopySat Methodology
Raymond Sauti
CanopySat β€” Forest Intelligence Ecosystem Β· Belgium
This paper presents the CanopySat Forest Integrity Score methodology β€” a satellite-based framework for assessing forest health worldwide using ESA Sentinel-2, Sentinel-1, NASA Landsat and FIRMS fire data. The score combines vegetation indices, radar backscatter, historical trends and fire detection ...
forest integrity NDVI Sentinel-2 Landsat deforestation remote sensing Google Earth Engine
Published: 2026-09-04