Revealing the impacts of environmental and anthropogenic factors on permafrost deformation in the central Qinghai-Tibet Plateau using InSAR and interpretable machine learning

Revealing the impacts of environmental and anthropogenic factors on permafrost deformation in the central Qinghai-Tibet Plateau using InSAR and interpretable machine learning

Permafrost stability on the Qinghai-Tibet Plateau (QTP) is vital amid environmental changes and human activities. Interferometric Synthetic Aperture Radar (InSAR) effectively monitors permafrost deformation, capturing seasonal and long-term trends via active layer hydrothermal shifts. While prior st...

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Bibliographic Details
Main Authors: Xingchen Lin, Tonghua Wu, Jie Chen, Jianjun Chen, Ren Li, Xiaofan Zhu, Peiqing Lou
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Ecological Indicators
Subjects:
Interpretable machine learning
SBAS-InSAR
Permafrost deformation
Environmental factors
Human activities
Online Access:http://www.sciencedirect.com/science/article/pii/S1470160X25009070
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