Advancing wildfire prediction in Nepal using machine learning algorithms

Advancing wildfire prediction in Nepal using machine learning algorithms

Wildfires are increasingly threatening Nepal, particularly during the dry pre-monsoon months (March-May), leading to severe ecological impacts and disruptions to local communities. To improve wildfire prediction and preparedness, this study evaluated four advanced machine learning algorithms—Random...

Full description

Saved in:
Bibliographic Details
Main Authors: Saugat Sapkota, Khagendra Prasad Joshi, Sajesh Kuikel, Dipesh Kuinkel, Biplov Bhandari, Yanhong Wu, Haijian Bing, Suresh Marahatta, Deepak Aryal, S-Y Simon Wang, Binod Pokharel
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:Environmental Research Communications
Subjects:
wildfire
machine learning
Nepal
fire prediction
risk mapping
fire management
Online Access:https://doi.org/10.1088/2515-7620/add2db
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1088/2515-7620/add2db

Similar Items