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Interpretation and sensitivity analysis of the InSAR line of sight displacements in landslide measurements

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posted on 2022-12-05, 15:40 authored by Keren Dai, Jin Deng, Qiang Xu, Zhenhong Li, Xianlin Shi, Craig HancockCraig Hancock, Ningling Wen, Lele Zhang, Guanchen Zhuo
Landslides are major geological hazards and frequently occur in mountainous areas with steep slopes, often causing significant loss. Interferometric Synthetic Aperture Radar (InSAR) has been widely used in landslide measurement over the last three decades. However, InSAR only can measure one-dimensional displacements (i.e. those in the radar’s line of sight (LOS) direction), resulting in the uncertainty between LOS displacement and the real slope displacement. In this paper, based on ascending and descending data from Sentinel-1 satellite, a wide-area potential landslide early identification was carried out using SBAS-InSAR in the whole of Mao County, a mountainous area in western Sichuan (China), with a total of 41 potential landslides successfully detected. Based on the quantitative analysis, the results show that the InSAR LOS measurement values are slope aspect and gradient-dependent. Finally, we innovatively derived a LOS displacement sensitivity map of InSAR in landslide measurement, revealing the relationship between LOS displacement, real displacements on slopes with arbitrary aspects and gradients, and SAR geometric distortion. This is a generalized finding useful for any slopes. It provides theoretical support to acquire and understand the real slope displacement from InSAR landslide measurement, which is vital to assist in correctly interpreting LOS displacement and carrying out subsequent quantitative geological engineering analysis.

Funding

National Natural Science Foundation of China Major Program (41941019)

Early identification, monitoring and early warning of concealed landslides in Southwest China's mountainous areas based on InSAR and GNSS technologies

National Natural Science Foundation of China

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China Postdoctoral Science Foundation (2020M673322)

State Key Laboratory of Geohazard Prevention and Geoenvironment Protection Independent Research Project (SKLGP2020Z012)

Everest Scientific Project at Chengdu University of Technology (2020ZF114103)

Project on the identification and monitoring of potential geological hazards with remote sensing in Sichuan Province (510201202076888)

Shaanxi Province Science and Technology Innovation team (Ref. 2021TD-51)

Fundamental Research Funds for the Central Universities, CHD (Ref. 300102260301 and 300102261108)

History

School

  • Architecture, Building and Civil Engineering

Published in

GIScience and Remote Sensing

Volume

59

Issue

1

Pages

1226 - 1242

Publisher

Informa UK

Version

  • VoR (Version of Record)

Rights holder

© The Author(s)

Publisher statement

This is an Open Access article published by Informa UK and distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Acceptance date

2022-06-28

Publication date

2022-08-02

Copyright date

2022

ISSN

1548-1603

eISSN

1943-7226

Language

  • en

Depositor

Dr Craig Hancock. Deposit date: 28 November 2022

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