Analysis of wildfire patterns based on prevfogo occurrence records in the state of Ceará-Brazil
Keywords:
Spatial Distribution, Fire, GeoprocessingAbstract
The study analyzed wildfire patterns in Ceará in 2017 and 2018, using the Forest Fire Occurrence Records (ROIs) from Prevfogo to identify spatial and temporal distribution, and associated causes, and to validate official data on active fires and burned areas through statistical analysis and geoprocessing. A total of 550 ROIs were recorded across 16 municipalities, with Quixeramobim accounting for 30.36% of the incidents, while INPE detected 1,192 active fires, highlighting Canindé as the most affected municipality. Native Forest cover registered the highest number of fires, totaling 242 occurrences. There was a gradual increase in fires, especially in July and November, with the latter being the most critical month. During the period, 65,576.8 hectares were burned, with areas ranging from 10 to 50 hectares being the most affected. It was observed that 74.55% of the fires were reported visually, demonstrating a high dependence on direct observation. The results highlight the importance of integrating advanced technologies to improve fire detection and control, as well as to facilitate preventive and mitigation strategies. The analysis also reinforces the need to understand fire dynamics in the region, considering climatic, ecological, and human factors to reduce the environmental and social impacts of these events.
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