MAPPING OF FOREST FIRE BURNED SEVERITY USING THE SENTINEL DATASETS

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Suresh Babu, K. V.^1¹  Roy, A.^1² 

[1] Disaster management studies, Indian Institute of Remote Sensing, ISRO, Dehradun, India^1;United Nations University Institute for the Advanced Study of Sustainability, Tokyo, Japan^2

关键词: Sentinel;    Forest fire;    NBR;    dNBR;    RBR;   

DOI  :  10.5194/isprs-archives-XLII-5-469-2018

学科分类：地球科学(综合)

来源: Copernicus Publications

【 摘 要 】

Forest fires are frequent phenomena in Uttarakhand Himalayas especially in the months of April to May, causing major loss of valuable forest products and impact on humans through the emissions and therefore effects the climate change. The major forest fire was started on May 19, 2018 and spread in 10 districts out of 13 districts of Uttarakhand state till the fire was suppressed after May 30, 2018. The burned area mapping is essential for the forest officials to plan for mitigation measures and restoration activities after the fire season. In this study, sentinel 2A & 2B satellite datasets were used to map burned severity over Uttarakhand districts. Differenced Normalized Burn Ratio (dNBR) and Relativized Burn Ratio (RBR) were calculated and compared with the active fire points. Results shows that both the dNBR and RBR are in good agreement with the actual occurence of forest fires.

【 授权许可】

CC BY