Landslide Sensitivity and Response to Precipitation Changes in Wet and Dry Climates-Reference-Cited by-同舟云学术

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Landslide Sensitivity and Response to Precipitation Changes in Wet and Dry Climates

Published:2022-07-06 Issue:13 Volume:49 Page:
ISSN:0094-8276
Container-title:Geophysical Research Letters
language:en
Short-container-title:Geophysical Research Letters

Author:

Handwerger Alexander L.¹²^ORCID,Fielding Eric J.¹^ORCID,Sangha Simran S.¹³^ORCID,Bekaert David P. S.¹^ORCID

Affiliation:

1. Jet Propulsion Laboratory California Institute of Technology Pasadena CA USA

2. Joint Institute for Regional Earth System Science and Engineering University of California, Los Angeles Los Angeles CA USA

3. Earth, Planetary, and Space Sciences University of California, Los Angeles Los Angeles CA USA

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2022GL099499

Reference92 articles.

1. Slow-to-fast transition of giant creeping rockslides modulated by undrained loading in basal shear zones

2. Landslide mapping using object-based image analysis and open source tools

3. Deformation responses of slow moving landslides to seasonal rainfall in the Northern Apennines, measured by InSAR

4. InSAR-based detection method for mapping and monitoring slow-moving landslides in remote regions with steep and mountainous terrain: An application to Nepal

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1. Potential and Limitations of the New European Ground Motion Service in Landslides at a Local Scale;Applied Sciences;2024-09-03

2. Construction and preliminary analysis of landslide database triggered by heavy storm in the parallel range-valley area of western Chongqing, China, on 8 June 2017;Frontiers in Earth Science;2024-08-08

3. Exploring the Behaviors of Initiated Progressive Failure and Slow‐Moving Landslides in Los Angeles Using Satellite InSAR and Pixel Offset Tracking;Geophysical Research Letters;2024-07-04

4. Assessing the impact of climate change on landslides near Vejle, Denmark, using public data;Natural Hazards and Earth System Sciences;2024-06-03

5. Forecasting landslide deformation by integrating domain knowledge into interpretable deep learning considering spatiotemporal correlations;Journal of Rock Mechanics and Geotechnical Engineering;2024-06

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