Surface subsidence monitoring and prediction along high-speed railways using DS-InSAR and machine learning: A case study of the Jining section of Lunan High-Speed Railway
Crossref DOI link: https://doi.org/10.1007/s12665-026-12990-6
Published Online: 2026-06-03
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Diao, Xinpeng
An, Quanchi
Han, Chunfeng
Chen, Ranli
Lei, Bowen
Xu, Fei
Text and Data Mining valid from 2026-06-03
Version of Record valid from 2026-06-03
Article History
Received: 2 November 2025
Accepted: 13 May 2026
First Online: 3 June 2026
Declarations
:
: The authors declare no competing interests.