Evaluating and mapping spatial drought in northeast Thailand: utilizing analytic hierarchy process and random forest algorithms

Evaluating and mapping spatial drought in northeast Thailand: utilizing analytic hierarchy process and random forest algorithms

Drought is a recurring and costly natural disaster that affects all climate zones, posing significant challenges to agriculture and livestock. This study evaluates drought vulnerabilities in Northeast Thailand using geospatial datasets and analysis combined with a random forest (RF) approach. The An...

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Bibliographic Details
Main Authors: Zahid Naeem Qaisrani, Jaturong Som-ard, Savittri Ratanopad Suwanlee, Surasak Keawsomsee, Nudthawud Homtong, Sarawut Ninsawat, Asadullah, Ali Nawaz Mengal
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:Geocarto International
Subjects:
Drought vulnerability
analytical hierarchy process
remote sensing
random forest
Online Access:https://www.tandfonline.com/doi/10.1080/10106049.2025.2518413
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