Forest fire monitoring of Shoolpaneshwar Wildlife Sanctuary, Gujarat, India using geospatial techniques

被引：3

作者：

Rakholia, Shrey ^{[1
]}

Mehta, Abhinav ^{[1
]}

Suthar, Bijal ^{[2
]}

机构：

[1] TGIS, Sarkari Vasahat Rd, Ahmadabad 380052, Gujarat, India

[2] 7-168 Hector St,Osborne Pk, Perth, WA 6017, Australia

来源：

CURRENT SCIENCE | 2020年 / 119卷 / 12期

关键词：

Burn severity; forest fire; geospatial techniques; vegetation loss; wildlife sanctuary; QUANTIFYING BURN SEVERITY; WORLD MAP; CLASSIFICATION;

D O I：

10.18520/cs/v119/i12/1974-1981

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Forest fire mapping is essential for monitoring significant ecosystem losses. Geospatial techniques play a considerable role in the monitoring of these events across the globe. The present study observes and compares various indices like NDVI, NBR and RBR used to estimate burn severity, which can be helpful to measure vegetation loss in the study area during 2018. The study shows a strong correlation between NDVI and dNBR, and better differentiation between the burned and unburned regions using RBR to create a better forest action plan for the local state departments to combat forest fires.

引用

页码：1974 / 1981

页数：8

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