Forest fire risk mapping using GIS and remote sensing in two major landscapes of Nepal
Summary
A multi-parametric weighted index model was adopted to derive and demarcate the forest fire-risk map with risk variables such as vegetation, topographic factors, land surface temperature, and proximity to the road and settlements. To enhance the use of a fire risk map, collinearity between variables was checked (VIF <2) and validated with the Moderate Resolution Imaging Spectroradiometer (MODIS) hotspots and Kernel Density Estimation (KDE) method.
Category:
Journal
Writer:
Ashok Parajuli, Ambika Prasad Gautam, Sundar Prasad Sharma, Krishna Bahadur Bhujel, Gagan Sharma, Purna Bahadur Thapa, Bhuwan Singh Bist & Shrijana Poudel
Link Source:
https://doi.org/10.1080/19475705.2020.1853251
Publisher:
Informa UK Limited, trading as Taylor & Francis Group
Published Year:
2020
