Pinpointing Early Signs of Impending Slope Failures From Space-Reference-Cited by-同舟云学术

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Pinpointing Early Signs of Impending Slope Failures From Space

Published:2022-02 Issue:2 Volume:127 Page:
ISSN:2169-9313
Container-title:Journal of Geophysical Research: Solid Earth
language:en
Short-container-title:JGR Solid Earth

Author:

Zhou Shuo¹,Tordesillas Antoinette¹^ORCID,Intrieri Emanuele²,Di Traglia Federico³^ORCID,Qian Guoqi¹,Catani Filippo⁴^ORCID

Affiliation:

1. School of Mathematics and Statistics University of Melbourne Melbourne VIC Australia

2. Department of Earth Sciences University of Florence Florence Italy

3. National Institute of Oceanography and Applied Geophysics‐OGS Sgonico Italy

4. Department of Geosciences Machine Intelligence and Slope Stability Laboratory University of Padova Padova Italy

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Geochemistry and Petrology,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021JB022957

Reference59 articles.

1. A Framework for Projected Clustering of High Dimensional Data Streams

2. ADVICE: A New Approach for Near-Real-Time Monitoring of Surface Displacements in Landslide Hazard Scenarios

3. Application of Machine Learning to Classification of Volcanic Deformation in Routinely Generated InSAR Data

4. An integrated methodology for landslides’ early warning systems

5. Monitoring crater-wall collapse at active volcanoes: a study of the 12 January 2013 event at Stromboli

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Displacement residuals reveal landslide regime shifts;Landslides;2024-08-27

2. Augmented Intelligence Forecasting and What-If-Scenario Analytics With Quantified Uncertainty for Big Real-Time Slope Monitoring Data;IEEE Transactions on Geoscience and Remote Sensing;2024

3. Forecasting landslides using community detection on geophysical satellite data;Physical Review E;2023-07-06

4. Structured deformation of granular material in the state of active earth pressure;Computers and Geotechnics;2023-05

5. Machine Learning Developments and Applications in Solid‐Earth Geosciences: Fad or Future?;Journal of Geophysical Research: Solid Earth;2023-01

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