SCIENCE

Scientific Framework

CanopySat is built on a rigorous scientific methodology — combining 6 satellite sources, validated algorithms and independent comparison against 3 global reference datasets.

Scientific pages

🛰️

Methodology

How CanopySat processes satellite data — GEE pipeline, vegetation indices, multi-source fusion.

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📊

Forest Integrity Score

How the 0-100 score is calculated — indicator weighting, classification algorithm and interpretation.

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✅

Validation

Independent comparison against Hansen/UMD GFW 2025, FAO FRA 2020 and ESA WorldCover 2021. Published on Zenodo.

View report →

⚠️

Limitations

What CanopySat cannot do — cloudy areas, resolution limits, detection bias and usage recommendations.

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Scientific Validation — Summary

CanopySat results have been compared against 3 global reference datasets across 10 forest zones on 4 continents.

+0.1%

Amazon vs ESA WorldCover

0.0%

Amazon vs Hansen/UMD

Reference datasets

Zones analyzed

DOI: 10.5281/zenodo.22872779 · Published on Zenodo · CC BY 4.0

View full validation report → Zenodo DOI →

Data sources

ESA Sentinel-2

NDVI, forest cover, vegetation indices

10m

ESA Sentinel-1

SAR radar — forest structure

10m

NASA Landsat 8/9

10-year historical trend

30m

NASA Landsat 4/5

40-year trend since 1984

30m

NASA FIRMS/VIIRS

Active fire detection

375m

NASA GEDI LiDAR

Canopy height from ISS

25m