Potential of Sentinel-2A Data to Model Surface and Canopy Fuel Characteristics in Relation to Crown Fire Hazard

This Open Access paper is from Juan Gabriel Alvarez Gonzalez and co-authors from the University of Santiago de Compostela. The focus is on forest crown fires, which can have serious impacts on soil, vegetation, and wildlife habitats. Fire managers try to prevent the initiation and spread of crown fires in forested landscapes through fuel management. The paper proposes that medium resolution imagery and machine learning techniques may add valuable information about surface and canopy fuel variables at large scales, whereby crown fire potential and the potential type of wildfire can be classified. To access the paper go to https://www.mdpi.com/2072-4292/10/10/1645