Identifying spatiotemporal pattern and trend prediction of land subsidence in Zhengzhou combining MT-InSAR, XGBoost and hydrogeological analysis

Identifying spatiotemporal pattern and trend prediction of land subsidence in Zhengzhou combining MT-InSAR, XGBoost and hydrogeological analysis

Abstract Zhengzhou city (China) experienced relatively significant land deformation following the July 20, 2021, extreme rainstorm (7·20 event). This study jointly utilised Multi-temporal synthetic aperture radar interferometry (MT-InSAR), eXtreme Gradient Boosting (XGBoost), and hydrogeological ana...

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Bibliographic Details
Main Authors: Zheng Zhou, Jiyuan Hu, Jiayao Wang, Lijun Wang, Tianrong Qiao, Zhen Li, Shiyuan Cheng
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Land subsidence
MT-InSAR
XGBoost
Hydrogeological analysis
Built-up index
Online Access:https://doi.org/10.1038/s41598-025-87789-9
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