Mapping Burned Area in the Caatinga Biome: Employing Deep Learning Techniques

Mapping Burned Area in the Caatinga Biome: Employing Deep Learning Techniques

The semi-arid Caatinga biome is particularly susceptible to fire dynamics. Periodic droughts amplify fire risks, while anthropogenic activities such as agriculture, pasture expansion, and land-clearing significantly contribute to the prevalence of fires. This research aims to evaluate the effectiven...

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Bibliographic Details
Main Authors: Washington J. S. Franca Rocha, Rodrigo N. Vasconcelos, Soltan Galano Duverger, Diego P. Costa, Nerivaldo A. Santos, Rafael O. Franca Rocha, Mariana M. M. de Santana, Ane A. C. Alencar, Vera L. S. Arruda, Wallace Vieira da Silva, Jefferson Ferreira-Ferreira, Mariana Oliveira, Leonardo da Silva Barbosa, Carlos Leandro Cordeiro
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Fire
Subjects:
forest fire
wildfire
semiarid
drylands
burned area
fire regime
Online Access:https://www.mdpi.com/2571-6255/7/12/437
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