Exploring forest fire susceptibility and management strategies in Western Himalaya: Integrating ensemble machine learning and explainable AI for accurate prediction and comprehensive analysis-Reference-Cited by-同舟云学术

Exploring forest fire susceptibility and management strategies in Western Himalaya: Integrating ensemble machine learning and explainable AI for accurate prediction and comprehensive analysis

Published:2024-08 Issue: Volume:35 Page:103655
ISSN:2352-1864
Container-title:Environmental Technology & Innovation
language:en
Short-container-title:Environmental Technology & Innovation

Author:

Thi Hang Hoang,Mallick Javed,Alqadhi Saeed,Bindajam Ahmed Ali,Abdo Hazem Ghassan

Funder

King Khalid University

Deanship of Scientific Research, King Khalid University

Publisher

Elsevier BV

Reference128 articles.

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2. Integrating ensemble machine learning and explainable AI for enhanced forest fire susceptibility analysis and risk assessment in Türkiye’s Mediterranean region;Earth Science Informatics;2024-09-06

3. Forest Wildfire Risk Assessment of Anning River Valley in Sichuan Province Based on Driving Factors with Multi-Source Data;Forests;2024-08-29

4. SHAP-Driven Explainable Artificial Intelligence Framework for Wildfire Susceptibility Mapping Using MODIS Active Fire Pixels: An In-Depth Interpretation of Contributing Factors in Izmir, Türkiye;Remote Sensing;2024-08-02