Attention to Fires: Multi-Channel Deep Learning Models for Wildfire Severity Prediction

• Published in: Applied sciences Vol. 11; no. 22; p. 11060
• Main Authors: Monaco, Simone, Greco, Salvatore, Farasin, Alessandro, Colomba, Luca, Apiletti, Daniele, Garza, Paolo, Cerquitelli, Tania, Baralis, Elena
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.11.2021
• Subjects: Artificial intelligence; Decision making; Deep learning; deep neural networks; Environmental impact; Forest & brush fires; Machine learning; multi-channel attention-based analysis; Neural networks; Remote sensing; Satellites; Semantics; Vegetation; wildfire severity prediction

Wildfires are one of the natural hazards that the European Union is actively monitoring through the Copernicus EMS Earth observation program which continuously releases public information related to such catastrophic events. Such occurrences are the cause of both short- and long-term damages. Thus,...