1. SHIKHA GOSWAMI - Research Scholar, College of Technology, Govind Ballabh Pant University of Agriculture & Technology,
Pantnagar, Uttarakhand.
2. ALAKNANDA ASHOK - Dean, College of Technology, Govind Ballabh Pant University of Agriculture & Technology, Pantnagar,
Uttarakhand.
The Uttarakhand region, located in the Indian Himalayas, is highly susceptible to forest fires due to its unique climatic and topographic conditions. The increasing frequency and intensity of forest fires in Uttarkashi district of Uttarakhand, driven by climate change [1] and human activities, have caused significant damage to the region’s ecosystem. This research aims to utilize Landsat-8 satellite imagery to assess burn severity [18] in Uttarkashi district of Uttarakhand’s Forest regions. The study employs the Normalized Burn Ratio (NBR) [6] and its derivative, the differenced Normalized Burn Ratio (dNBR) [7], to quantify fire impact. These indices, derived from multispectral Landsat [24] [29] data, are powerful tools for evaluating the extent and intensity of fires. The analysis provides spatial patterns of fire damage over time, specifically from 2020 to 2024, and helps understand post-fire [27] regeneration and recovery processes. The research provides insights into the effectiveness of satellite data in burn severity mapping, assisting local authorities in managing forest recovery efforts and mitigating future fire hazards. The study of burn severity in Uttarkashi district from 2020 to 2024 shows significant fluctuations. In 2020, unburned areas accounted for the majority, while high severity fires affected 11%. By 2021, unburned areas increased to 35.89%, while high severity zones decreased to 6.15%. By 2022, high severity fires increased to 16.77%, while unburned areas increased to 30.35%. In 2024, unburned areas expanded to 44.91%.
Burn Severity, Uttarakhand, Landsat-8, NBR, dNBR, NDVI, Forest Fires, Remote Sensing, Fire Monitoring.