क्यूआर कोड

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...

पूर्ण विवरण

में बचाया:
मुख्य लेखकों: Yao Xiao, Guangyue Liu, Guojie Hu, Defu Zou, Ren Li, Erji Du, Tonghua Wu, Xiaodong Wu, Guohui Zhao, Yonghua Zhao, Lin Zhao
स्वरूप: Artigo
भाषा:Inglês
प्रकाशित: MDPI AG 2025-06-01
श्रृंखला:Remote Sensing
विषय:
permafrost mapping
ground-penetrating radar (GPR)
SHAP analysis
machine learning
Qinghai–Tibet Plateau
alpine permafrost
ऑनलाइन पहुंच:https://www.mdpi.com/2072-4292/17/12/2015
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