Gao et al. (2026) Attribution analysis and threshold identification of land subsidence in the Beijing Plain based on MT-InSAR technology and explainable artificial intelligence

Identification

• Journal: Geomatics Natural Hazards and Risk
• Year: 2026
• Date: 2026-09-14
• Authors: Chaofan Zhou, Huili Gong, Beibei Chen, Xiaojuan Li
• DOI: 10.1080/19475705.2026.2731677

Research Groups

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Citation

@article{Gao2026Attribution,
  author = {Gao, Xiaodan and Zhou, Chaofan and Gong, Huili and Chen, Beibei and Li, Xiaojuan},
  title = {Attribution analysis and threshold identification of land subsidence in the Beijing Plain based on MT-InSAR technology and explainable artificial intelligence},
  journal = {Geomatics Natural Hazards and Risk},
  year = {2026},
  doi = {10.1080/19475705.2026.2731677},
  url = {https://doi.org/10.1080/19475705.2026.2731677}
}