Independent Validation of CanopySat Carbon Assessment - Comparison Against GFW/WHRC, FAO FRA 2020 and ESA CCI Biomass across 5 Global Biomes

This report presents an independent validation of CanopySat's satellite-based carbon assessment methodology against three major global reference datasets: (1) Global Forest Watch / Woods Hole Research Center (GFW/WHRC) biomass map, (2) FAO Forest Resources Assessment 2020 (FAO FRA 2020), and (3) ESA Climate Change Initiative Biomass v3 (ESA CCI). Five representative forest zones across five global biomes (tropical Amazon, tropical Congo, temperate Black Forest, tropical SE Asia Borneo, boreal Canada) were analyzed. Results demonstrate a mean absolute error of 0.8% between CanopySat estimates and reference dataset means, confirming the scientific validity of the CanopySat carbon assessment methodology for global forest monitoring applications. Biome-specific allometric equations follow Chave et al. (2014) and Potapov et al. (2021). Carbon stocks are calculated using IPCC (2006, 2019) Tier 1 methodology.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-30
DOI
https://doi.org/10.5281/zenodo.23055522
Primary Topic
Remote Sensing and LiDAR Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Independent Validation of CanopySat Carbon Assessment - Comparison Against GFW/WHRC, FAO FRA 2020 and ESA CCI Biomass across 5 Global Biomes

Raymond SAUTI
Zenodo (CERN European Organization for Nuclear Research)
Remote Sensing and LiDAR Applications
article

Independent Validation of CanopySat Carbon Assessment - Comparison Against GFW/WHRC, FAO FRA 2020 and ESA CCI Biomass across 5 Global Biomes

Raymond SAUTI
article en

Abstract

This report presents an independent validation of CanopySat's satellite-based carbon assessment methodology against three major global reference datasets: (1) Global Forest Watch / Woods Hole Research Center (GFW/WHRC) biomass map, (2) FAO Forest Resources Assessment 2020 (FAO FRA 2020), and (3) ESA Climate Change Initiative Biomass v3 (ESA CCI). Five representative forest zones across five global biomes (tropical Amazon, tropical Congo, temperate Black Forest, tropical SE Asia Borneo, boreal Canada) were analyzed. Results demonstrate a mean absolute error of 0.8% between CanopySat estimates and reference dataset means, confirming the scientific validity of the CanopySat carbon assessment methodology for global forest monitoring applications. Biome-specific allometric equations follow Chave et al. (2014) and Potapov et al. (2021). Carbon stocks are calculated using IPCC (2006, 2019) Tier 1 methodology.

Zenodo (CERN European Organization for Nuclear Research)
Climate action
Openalex Percentile: Top 19%
Remote Sensing and LiDAR Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.