Advancing coal fire detection model for large-scale areas based on RS indices and machine learning

Advancing coal fire detection model for large-scale areas based on RS indices and machine learning

Coal fires present significant global environmental and energy challenges, posing substantial barriers to achieving carbon-neutral goals. Thermal Infrared Remote Sensing (TIRS) technology, which is used to retrieve land surface temperatures, plays a crucial role in detecting coal fires. However, its...

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Bibliographic Details
Main Authors: Jinglong Liu, Feng Zhao, Yunjia Wang, Yanan Wang, Sen Du, Libo Dang, Jordi J. Mallorqui
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
Coal fire detection
Kernel thermal anomaly index
Coal fire detection model (CFDM)
Machine learning (ML)
Google earth engine (GEE)
Online Access:http://www.sciencedirect.com/science/article/pii/S1569843225002341
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