SPATIOTEMPORAL VARIABILITY IN FIRE FOCI DETECTION IN THE STATE OF MATO GROSSO, BRAZIL
DOI:
https://doi.org/10.5380/rf.v56i1.101014Keywords:
remote sensing, Incêndios florestais, sensoriamento remoto, conservação da naturezaAbstract
Biomass burning of vegetation is one of the primary anthropogenic sources of greenhouse gas emissions into the atmosphere. Monitoring spatiotemporal variability of wildland fire occurrence by environmental satellites is a method that can be used in the development of fire prevention strategies. The objectives of this study were to analyze the spatiotemporal variability in fire foci detection in the state of Mato Grosso and to determine the variables associated with fire detection at municipal level. Data from AQUA and Suomi-NPP (S-NPP) satellites were quantified by municipality and correlated with 11 independent variables. Mean annual number of fire foci detected was 38,646 by AQUA based on data from 2003-2023, and 127,992 by S-NPP from 2013-2023. During the overlap period, S-NPP detected 4.7 times more foci than AQUA. Despite the difference, both datasets were significantly correlated. Most fire foci were detected in September. Colniza was the municipality with the highest number of detections, while Itanhangá and Nova Nazaré registered the highest fire foci density by the AQUA and S-NPP satellites respectively. Of the 141 municipalities, 133 were classified as having extreme or very high fire incidence. Primary deforested area was the variable that presented the highest correlation with municipal fire density. The findings of this study may serve as a foundation for developing public policies aimed at reducing the occurrence of wildland fires in Mato Grosso.
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Copyright (c) 2026 Benjamin Leonardo Alves White, Giovana Valeria dos Santo s Santana, Lazzaro Gabriel Silva Santos, Maria Eloisa Araujo Franca
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