Characterization of forest fire frequency using fire scar mapping of temporal satellite data for forest fire management

One of the most complex problems facing in tropical forests, particularly deciduous is recurrent incidence fire. It well known that fire caused extensive damage forest ecosystem by quantitatively and qualitatively. To reduce occurrences fire, proper management highly important which entails mapping frequency identification suitable area for watchtowers. In present study, analysis Melghat Tiger Reserve, Maharashtra was done last seven years (2014-2020) based on scar temporal Landsat data during season (January-June). Fire shows an 1053.64 ha (0.52%) reserve burned all followed 3050.53 (1.49%) six times, 3849.52 (1.88%) five 5520.04 (2.70%) four 11845.63 (5.80%) three 36863.52 (18.03%) two 70126.33 (34.31%) once 72093.02 (35.27%) remains unburned these years. The map generated used as input prioritizing locations watch towers grazing closure areas fires lines. Identification sites locating new watchtowers has been integrating modeling map, existing viewshed GIS. Based results only thirteen were categorized under retainable among 27 are proposed to cover entire area.