Utilizing Remote Sensing and Site Reconnaissance Data to Map Surface Manifestation of Liquefaction-Reference-Cited by-同舟云学术

Utilizing Remote Sensing and Site Reconnaissance Data to Map Surface Manifestation of Liquefaction

Published:2023-03-23 Issue: Volume: Page:
ISSN:
Container-title:Geo-Congress 2023
language:
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Author:

O’Donnell Timothy M.¹²³⁴,Zimmaro Paolo¹²³⁴,Fielding Eric J.¹²³⁴,Stewart Jonathan P.¹²³⁴

Affiliation:

1. Graduate Student, Dept. of Civil and Environmental Engineering, Univ. of California, Los Angeles, CA.

2. Assistant Professor, Dept. of Environmental Engineering, Univ. of Calabria, Arcavacata di Rende, Italy; Visiting Project Scientist, Dept. of Civil and Environmental Engineering, Univ. of California, Los Angeles, CA.

3. Senior Research Scientist, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA.

4. Professor, Dept. of Civil and Environmental Engineering, Univ. of California, Los Angeles, CA.

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784484692.039

Reference12 articles.

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3. Phased Reconnaissance Approach to Documenting Landslides following the 2016 Central Italy Earthquakes

4. Evaluation of coherent and incoherent landslide detection methods based on Synthetic Aperture Radar for rapid response: A case study for the 2018 Hokkaido landslides;Jung J.;Remote Sens,2020

5. Liquefaction-Induced Horizontal Displacements from the Canterbury Earthquake Sequence in New Zealand Measured from Remote Sensing Techniques