Sustainability & AI
AI deforestation monitoring
Detecting forest loss and degradation from satellite imagery with machine learning, supporting enforcement and zero-deforestation commitments.
Definition
Detecting forest loss and degradation from satellite imagery with machine learning, producing alerts and maps that support enforcement and zero-deforestation commitments.
Quick reference
At a glance
- Subject
- Sustainability & AI
- Editorial status
- Editorial draft
- Definition status
- Established
- Last updated
- 21 August 2026
References
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Overview
What it means
The field's reference dataset is Hansen et al.' s global forest-cover change analysis (Science 2013), which showed cloud computing could classify Landsat archives at planetary scale. Services such as Global Forest Watch now deliver near-real-time alerts; radar satellites extend detection through cloud cover.
How it is used
Companies use alerts to verify deforestation-free supply chains; regulators use them for enforcement and for due-diligence regimes requiring geolocation evidence; NGOs use them for accountability. Alerts still require ground or high-resolution confirmation before action.
Why it matters
Deforestation monitoring is the proof case for AI plus Earth observation at policy scale: a global, open, continuously updated evidence base. Its limits — resolution, confirmation lag, degradation versus clear-felling — define where verification still needs humans.
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