Enhancing long-term prediction of non-homogeneous landslides incorporating spatiotemporal graph convolutional networks and InSAR: Fid-Bau Portal

Enhancing long-term prediction of non-homogeneous landslides incorporating spatiotemporal graph convolutional networks and InSAR

Li, Zongzheng / Chen, Jianping / Cao, Chen / Zhang, Wen / Zhu, Kuanxing / Bai, Ji / Wu, Chenyang

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Enhancing long-term prediction of non-homogeneous landslides incorporating spatiotemporal graph convolutional networks and InSAR

Li, Zongzheng / Chen, Jianping / Cao, Chen / Zhang, Wen / Zhu, Kuanxing / Bai, Ji / Wu, Chenyang

Enhancing long-term prediction of non-homogeneous landslides incorporating spatiotemporal graph convolutional networks and InSAR

Li, Zongzheng / Chen, Jianping / Cao, Chen / Zhang, Wen / Zhu, Kuanxing / Bai, Ji / Wu, Chenyang

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Title:

Enhancing long-term prediction of non-homogeneous landslides incorporating spatiotemporal graph convolutional networks and InSAR

Additional title:

Engineering Geology

Contributors:

Li, Zongzheng (author) / Chen, Jianping (author) / Cao, Chen (author) / Zhang, Wen (author) / Zhu, Kuanxing (author) / Bai, Ji (author) / Wu, Chenyang (author)

Published in:

Engineering Geology ; 347 ; 107917

Publication date:

2025-03-01

ISSN:

0013-7952

DOI:

https://doi.org/10.1016/j.enggeo.2025.107917

Type of media:

Article (Journal)

Type of material:

Electronic Resource

Language:

English

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