GIS Based Forest Fire Vulnerability Assessment and its Validation using field and MODIS Data: A Case Study of Bhaderwah Forest Division, Jammu and Kashmir (India)
DOI:
https://doi.org/10.36808/if/2021/v147i2/153779Keywords:
Multicriteria Analysis, Geographic Information System, Vulnerability, MODIS.Abstract
The present study assesses the forest fire vulnerability of the Bhaderwah forest division in the UT of Jammu and Kashmir. The vibrant green forests of the Bhaderwah forest division play an essential role in preventing soil erosion, maintaining the ecological balance and serves as habitat for wildlife. In efforts to nurture the rich biodiversity, it is essential to manage this forest division using modern scientific technology for fire protection. The present study makes the use of MODIS fire data related to the field point data of forest fires in a multi-criteria analysis (MCA) framework to assess the fire vulnerability of Bhaderwah Forest Division using Geographical Information System (GIS). In the present study, land use, vegetation, topographical parameters, and human influence parameters are used as inputs to the multi-criteria analysis for dividing the study area based on sensitivity to forest fires. The outcome from the present study reports that out of the total 342 compartments of Bhaderwah Forest Division, 187 compartmentsfall in high vulnerability zone, 123 compartmentsfall in medium vulnerability zone, whereas only 32 compartments fall in low vulnerability zone. The present study can be constructive in formulating better strategies to combat forest fires in the area.
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