Resources

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