Spatial-Temporal Distribution of Hot Spots in the Municipality of Nova Timboteua, Pará, Brazil
DOI:
https://doi.org/10.11137/1982-3908_2025_48_59361Keywords:
Kernel density, Forest monitoring, Forest fireAbstract
Remote sensing is a tool that enables monitoring forest fires in extensive territories because it allows locating more and less vulnerable regions using satellites, reducing the costs and time for the perception of hot spots. Thus, the objective of this study was to evaluate the distribution of hot spots in the municipality of Nova Timboteua, Pa between the years 2015 and 2020. For this we used data from the National Institute for Space Research (INPE) burns program that was processed in spreadsheets, where graphs were produced, and in QGIS 3.28.1, which generated the Kernel density map using the function of Kartic estimation. In the municipality, 1,026 hot spots were recorded in the studied period, with higher occurrences observed in the years 2015 (250) and 2017 (215), periods with average rainfall below 200 mm. In addition, a seasonal variation of hot spots was observed in the municipality, where the months of November and December are the months that presented the highest number of hot spots. The southwestern and northeastern regions of the municipality were the ones that registered the highest number of hot spots, except for the year 2018. Furthermore, the hot spots were concentrated in PA-324 and PA-242. Thus, it is noted that the hot spots occur more frequently in periods of lower rainfall and that the northeastern and southeastern regions of the municipality are the most vulnerable to the occurrence of hot spots.
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