• BINITA KUMARI

      Articles written in Journal of Earth System Science

    • Geo-informatics based multi-criteria decision analysis (MCDA) through analytic hierarchy process (AHP) for forest fire risk mapping in Palamau Tiger Reserve, Jharkhand state, India

      BINITA KUMARI ARVIND CHANDRA PANDEY

      More Details Abstract Fulltext PDF

      Forest fires constitute a foremost environmental calamity that distresses the sustainability of the forest. The main source of degradation of Jharkhand forests are forest fires conquered by forest species of Sal and Bamboo. Palamau Tiger Reserve in Jharkhand state, India, is becoming more susceptible to forest fire due to anthropogenic disturbance coupled with speedy upsurge in population. In this study, forest fire risk in PTR was evaluated based on various fire inducing factors, viz., forest fuel, settlements, roads, bare soil index, elevation slope and aspect. Geoinformatics based multi-criteria decision analysis (MCDA) through method of AHP (analytic hierarchy process) used to extract forest fire risk map in five classes: Very low risk, low risk, moderate risk, high risk and very high risk. The results obtained showed that about 180 km$^{2}$ (14.85%) falls under very low fire risk zone, 234 km$^{2}$ (19.30%) falls in low fire risk zone, 269.73 km$^{2}$ (22.16%) falls under moderate fire risk zone, 299.36 km$^{2}$ (24.59%) falls under high fire risk zone and 232.56 km$^{2}$ (19.10%) falls in very high fire risk zone. Forest fire risk map was validated from historical fire incidents observed through field data, MODIS and SNPP-VIIRS satellite products. The results showed that the geoinformatics based forest fire risk zones delineated through MCDA-AHP method are in good agreement with historical forest fire occurrences, henceforth may be utilised for fire planning for mitigation in forest areas.

      $\bf{Highlights}$

      $\bullet$PTR is becoming more susceptible to forest fire due to anthropogenic disturbance coupled with speedy upsurge in population.

      $\bullet$Forest Fires Risk was evaluated based on various fire inducing factors viz., forest fuel, settlements, roads, bare soil index, elevation slope and aspect through method of AHP.

      $\bullet$Forest fire risk map was validated from historical fire incidents observed through field data, MODIS and SNPP-VIIRS satellite products.

      $\bullet$The results showed that the geoinformatics based forest fire risk zones are in good agreement with historical forest fire occurrences henceforth may be utilised for fire planning for mitigation in forest areas.

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