Priyanka Gupta
The escalation of forest fires over recent years has not only captured headlines but has also ignited a global sense of urgency. Instances of catastrophic fires in diverse regions like Australia, Russia, the United States, and even India have underscored the profound consequences these events can unleash. Forest fires stand out as one of the most prominent indications of the influence of climate change, presenting themselves as a natural peril. Among the severely impacted areas in India is the ecologically delicate region of UNESCO's Indo-Burma biodiversity hotspot, primarily located in Mizoram, within North-East India. This research strives to construct a wildfire susceptibility map utilizing the RF Machine Learning (ML) algorithm, targeting the Lengteng Wildlife Sanctuary, an alpine forest region in Mizoram, for the year 2023. The outcomes divulge that a significant 18.95% of the study area demonstrates an extremely elevated susceptibility to wildfires, while an additional 22.15% falls within the category of high susceptibility. Notably, the regions marked as highly susceptible on the map correspond with documented instances of fire occurrences. The above work is submitted to reputed journal.
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