A Graph Convolutional Incorporating GRU Network for Landslide Displacement Forecasting Based on Spatiotemporal Analysis of GNSS Observations

A Graph Convolutional Incorporating GRU Network for Landslide Displacement Forecasting Based on Spatiotemporal Analysis of GNSS Observations

Landslide displacement prediction is crucial for the early warning of slope failure but remains a challenging task due to its spatiotemporal complexity. Although temporal dependency has been well studied and discussed, spatial dependence is relatively less explored due to its significant variations...

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Bibliographic Details
Main Authors: Yanan Jiang, Huiyuan Luo, Qiang Xu, Zhong Lu, Lu Liao, Huajin Li, Lina Hao
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Remote Sensing
Subjects:
spatiotemporal analysis
landslide displacement prediction
attribute-augmented
deep learning
Online Access:https://www.mdpi.com/2072-4292/14/4/1016

Internet

https://www.mdpi.com/2072-4292/14/4/1016

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