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Frozen soil thermal conductivity prediction and its spatial distribution characteristics along Qinghai-Tibet Engineering Corridor (QTEC) – a geospatial machine learning framework

Permafrost degradation within the Qinghai-Tibet Plateau (QTP) is accelerating, posing a severe risk to the thermal stability of engineering infrastructure. Therefore, accurate estimation of soil thermal conductivity (λ) is essential for predicting ground temperature evolution and to prevent freeze–t...

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Principais autores: Sadaqat Hussain, Fuqing Cui, Isma Kulsoom, Zhiyun Liu, Jianbing Chen, Syed Asim Hussain, Xiaona Liu, Qifan Zhang
Formato: Artigo
Idioma:Inglês
Publicado em: Taylor & Francis Group 2026-06-01
coleção:Geo-spatial Information Science
Assuntos:
Permafrost
thermal conductivity
machine learning
random forest
SHAP analysis
remote sensing
Acesso em linha:https://www.tandfonline.com/doi/10.1080/10095020.2026.2681339
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