Synergistic approaches in forest fire risk mapping using fuzzy AHP and machine learning models in the Chure Tarai Madhesh Landscape (CTML) of Nepal

Synergistic approaches in forest fire risk mapping using fuzzy AHP and machine learning models in the Chure Tarai Madhesh Landscape (CTML) of Nepal

Forest fires are recurrent natural hazards threatening ecosystems, biodiversity, and nearby communities. The Chure Tarai Madhesh Landscape (CTML) is a biodiversity hotspot harboring endangered species of flora and fauna. The increasing severity of forest fires in this region has raised immediate con...

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Bibliographic Details
Main Authors: Milan Dhakal, Balram Bhatta, Prakash Lamichhane, Ashok Parajuli
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Geomatics, Natural Hazards & Risk
Subjects:
Forest fire
Chure Tarai Madhesh Landscape
fuzzy AHP
machine learning
forest fire risk map
Online Access:https://www.tandfonline.com/doi/10.1080/19475705.2024.2436540
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https://www.tandfonline.com/doi/10.1080/19475705.2024.2436540

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