Benjamin Leonardo Alves White


Wildland fires are responsible for impacts in the fauna and flora in fire sensitive ecosystems and release into the atmosphere greenhouse gases responsible for global warming. This study aims to analyze the spatiotemporal variation of hot spots detected by the AQUA satellite from 2003 to 2019 in the state of Bahia, and to determine the main factors affecting the fire frequency of incidence. A significant downtrend was observed in the number of hot spots recorded over the years and about 65% of them were detected in the months of September and October. The Southcenter and the Northwest state’s regions were the ones with highest hot spot incidence, while the Northeast and East Central regions presented lower incidence. Presidente Jânio Quadros was the municipality with the highest hot spot incidence per area. Besides this one, there were another 351 municipalities (accounting together with almost 75% of the state area) that were classified in the “Extreme”, “Very High” and “High” classes of hot spot incidence. The independent variables that presented a significant correlation with the municipality hot spot density were, in decreasing order of significance: percentage of land covered by savanna; percentage of land covered by agriculture and pastures; percentage of land covered by forests; mean annual temperature; mean annual rainfall; and demographic density. The results obtained in this study should be used by municipal and state environmental agencies seeking to reduce the wildland fire occurrence and thus ensuring biodiversity conservation and reduction in the release of green house gases.        


Prevenção de Fogo, Focos de Calor, Sensoriamento Remoto, Incêndios Florestais.

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Journal of Hyperspectral Remote Sensing - eISSN: 2237-2202