Vegetation Cover Type Classification Using Cartographic Data for Prediction of Wildfire Behaviour

Vegetation Cover Type Classification Using Cartographic Data for Prediction of Wildfire Behaviour

Predicting the behaviour of wildfires can help save lives and reduce health, socioeconomic, and environmental impacts. Because wildfire behaviour is highly dependent on fuel type and distribution, their accurate estimation is paramount for accurate prediction of the fire propagation dynamics. This p...

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Bibliographic Details
Main Authors:	Mohammad Tavakol Sadrabadi, Mauro Sebastián Innocente
Format:	Article
Language:	English
Published:	MDPI AG 2023-02-01
Series:	Fire
Subjects:	forest fire fuel load hyperparameter tuning machine learning ensemble models Bayesian optimisation
Online Access:	https://www.mdpi.com/2571-6255/6/2/76

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