CROWNFIRE-AI: Cloud-hosted software for estimating the risk of extreme crown wildfires using advanced remote sensing techniques and artificial intelligence

2026-08-05

José Manuel Fernández‐Guisuraga *

Alfonso Fernández–Manso

Carmen Quintano

David San Martín Aguado

Alberto Cerrillo

Guillermo Marqués

Gaspar Cascallana

Leonor Calvo

DOI：10.1016/j.ecoinf.2026.103975

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Abstract

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• CROWNFIRE-AI software generates predictions of crown fire risk at regional scale. • User-friendly software that integrates Google Earth Engine processing capabilities. • Sentinel-2-based model achieved high fire type prediction accuracy (F1 = 0.88). • MODIS model had lower accuracy but improved data availability near target dates. • CROWNFIRE-AI support current and 16-day ahead crown fire risk predictions.

Keywords:

Fire type

Fuel biophysical properties

Google earth engine

MODIS

Random forest

Sentinel-2

CROWNFIRE-AI: Cloud-hosted software for estimating the risk of extreme crown wildfires using advanced remote sensing techniques and artificial intelligence

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