Mapping Mountain Permafrost via GPR-Augmented Machine Learning in the Northeastern Qinghai–Tibet Plateau

Accurate permafrost mapping in mountainous regions is hindered by sparse in situ observations and heterogeneous terrain. This study develops a GPR-augmented machine learning framework to map mountain permafrost in the northeastern Qinghai–Tibet Plateau. A total of 1037 presence–absence samples were...

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Autores principales:	Yao Xiao, Guangyue Liu, Guojie Hu, Defu Zou, Ren Li, Erji Du, Tonghua Wu, Xiaodong Wu, Guohui Zhao, Yonghua Zhao, Lin Zhao
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2025-06-01
Colección:	Remote Sensing
Materias:	permafrost mapping ground-penetrating radar (GPR) SHAP analysis machine learning Qinghai–Tibet Plateau alpine permafrost
Acceso en línea:	https://www.mdpi.com/2072-4292/17/12/2015
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