Spatiotemporal analysis of wildfires in the municipality of Rio de Contas, Chapada Diamantina

Revista Agrogeoambiental

Endereço:
Avenida Vicente Simões, nº 1111, Nova Pouso Alegre - Nova Pouso Alegre
Pouso Alegre / MG
37553-465
Site: http://agrogeoambiental.ifsuldeminas.edu.br
Telefone: (35) 3449-6158
ISSN: 23161817
Editor Chefe: Saul Jorge Pinto de Carvalho
Início Publicação: 31/03/2009
Periodicidade: Trimestral
Área de Estudo: Ciências Agrárias, Área de Estudo: Multidisciplinar

Spatiotemporal analysis of wildfires in the municipality of Rio de Contas, Chapada Diamantina

Ano: 2026 | Volume: 18 | Número: Não se aplica
Autores: dos Santos Souza, A., Bonfim Santos, T., Carvalho de Azevedo Santos, M., Públio Júnior, E., & Pereira dos Santos, M.
Autor Correspondente: Públio Júnior, E. | [email protected]

Palavras-chave: Conservation Areas. Geotechnologies. Geoprocessing. Forest Fires. Remote Sensing.

Resumos Cadastrados

Resumo Inglês:

Wildfire occurrences annually affect different vegetation regions, generating environmental, economic, and social impacts. The municipality of Rio de Contas, located in Chapada Diamantina, Bahia, constitutes one of these vulnerable areas. In this context, the use of geotechnologies such as remote sensing is essential for monitoring and analyzing affected territories. This study was developed to evaluate wildfire occurrences on a spatiotemporal scale in Rio de Contas from 2010 to 2024, using satellite imagery and geoprocessing techniques. Data on fire outbreaks were obtained from the Wildfire Program of the National Institute for Space Research (INPE), whereas burned area data were extracted from NASA’s Reverb platform and the University of Maryland. Meteorological information was provided by the National Institute of Meteorology (INMET). Analyses were performed on QGIS, applying Kernel density estimation. Of the 101 wildfire outbreaks identified, 48.5 % occurred within conservation units. Its highest incidence was recorded in September, with an average burned area of 394.18 ha, associated with low rainfall rates. Spatial analysis indicated a concentration of fire outbreaks in areas above 1000 meters in altitude, predominantly in grassland savanna. Thus, the most prone periods to wildfires and their association with local climatic variables were identified. These findings highlight the relevance of geotechnologies in environmental planning and management, providing support for wildfire prevention and mitigation strategies.