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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...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Sadaqat Hussain, Fuqing Cui, Isma Kulsoom, Zhiyun Liu, Jianbing Chen, Syed Asim Hussain, Xiaona Liu, Qifan Zhang
Format: Artigo
Sprache:Inglês
Veröffentlicht: Taylor & Francis Group 2026-06-01
Schriftenreihe:Geo-spatial Information Science
Schlagworte:
Permafrost
thermal conductivity
machine learning
random forest
SHAP analysis
remote sensing
Online-Zugang:https://www.tandfonline.com/doi/10.1080/10095020.2026.2681339
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