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BURNarXiv Atmospheric PhysicsJun 5, 2026

Leveraging MTG-FCI fire observations for event-based fire behavior monitoring from near-real-time operation to seasonal analysis

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Final score
7.36
Confidence
9/10
Amount
7M CBWD

AI justification

[Auto-resolved by learned corrector: analyst-consensus — Analyst A and B both independently scored BURN] High-impact wildfire monitoring tool with clear climate and biodiversity benefits and no ethical downsides. | The FET algorithm and its applications represent a significant advancement in wildfire monitoring, directly supporting climate action (SDG 13) and biodiversity protection (SDG 15) by enabling precise, high-frequency fire behavior tracking. The operational deployment in Portugal and EU