Interferometric Synthetic Aperture Radar Applicability Analysis for Potential Landslide Identification in Steep Mountainous Areas with C/L Band Data

Landslides frequently occur in the mountainous area of southwest China, resulting in infrastructure damage, as well as a loss of life and property. The use of interferometric synthetic aperture radar (InSAR) technology has become increasingly popular due to its wide coverage, high precision, and eff...

Full description

Bibliographic Details
Main Authors: Jin Deng, Keren Dai, Rubing Liang, Lichuan Chen, Ningling Wen, Guang Zheng, Hong Xu
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/15/18/4538
_version_ 1827723743408947200
author Jin Deng
Keren Dai
Rubing Liang
Lichuan Chen
Ningling Wen
Guang Zheng
Hong Xu
author_facet Jin Deng
Keren Dai
Rubing Liang
Lichuan Chen
Ningling Wen
Guang Zheng
Hong Xu
author_sort Jin Deng
collection DOAJ
description Landslides frequently occur in the mountainous area of southwest China, resulting in infrastructure damage, as well as a loss of life and property. The use of interferometric synthetic aperture radar (InSAR) technology has become increasingly popular due to its wide coverage, high precision, and efficiency in identifying potential landslides in steep mountainous regions to mitigate risks. This study focused on the Mao County region in China and utilized a small baseline subset of InSAR (SBAS−InSAR) technology with Sentinel-1 and ALOS-2 data to identify the potential landslides and analyze their applicability. To ensure accuracy, the findings were verified using optical image and field surveys. Additionally, a comparative analysis was performed on C-band and L-band SAR data to examine differences in the coherence, geometric distortion, and displacement results, revealing that the L-band has clear advantages in the coherence, suitable observation coverage, and displacement results, while C-band can detect relatively slight displacements. This study aimed to determine the applicability of different SAR satellites for early landslide identification in steep mountainous areas, which can serve as a technical reference for selecting appropriate SAR data and enhancing InSAR identification abilities for potential landslides in the future.
first_indexed 2024-03-10T22:05:03Z
format Article
id doaj.art-1aeeb4a959f34f5ba97f1fbe1ffa6fa9
institution Directory Open Access Journal
issn 2072-4292
language English
last_indexed 2024-03-10T22:05:03Z
publishDate 2023-09-01
publisher MDPI AG
record_format Article
series Remote Sensing
spelling doaj.art-1aeeb4a959f34f5ba97f1fbe1ffa6fa92023-11-19T12:49:07ZengMDPI AGRemote Sensing2072-42922023-09-011518453810.3390/rs15184538Interferometric Synthetic Aperture Radar Applicability Analysis for Potential Landslide Identification in Steep Mountainous Areas with C/L Band DataJin Deng0Keren Dai1Rubing Liang2Lichuan Chen3Ningling Wen4Guang Zheng5Hong Xu6College of Earth Sciences, Chengdu University of Technology, Chengdu 610059, ChinaCollege of Earth Sciences, Chengdu University of Technology, Chengdu 610059, ChinaCollege of Earth Sciences, Chengdu University of Technology, Chengdu 610059, ChinaChongqing Institute of Geology and Mineral Resources (CIGMR), Chongqing 400014, ChinaCollege of Earth Sciences, Chengdu University of Technology, Chengdu 610059, ChinaState Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, ChinaChongqing Institute of Geology and Mineral Resources (CIGMR), Chongqing 400014, ChinaLandslides frequently occur in the mountainous area of southwest China, resulting in infrastructure damage, as well as a loss of life and property. The use of interferometric synthetic aperture radar (InSAR) technology has become increasingly popular due to its wide coverage, high precision, and efficiency in identifying potential landslides in steep mountainous regions to mitigate risks. This study focused on the Mao County region in China and utilized a small baseline subset of InSAR (SBAS−InSAR) technology with Sentinel-1 and ALOS-2 data to identify the potential landslides and analyze their applicability. To ensure accuracy, the findings were verified using optical image and field surveys. Additionally, a comparative analysis was performed on C-band and L-band SAR data to examine differences in the coherence, geometric distortion, and displacement results, revealing that the L-band has clear advantages in the coherence, suitable observation coverage, and displacement results, while C-band can detect relatively slight displacements. This study aimed to determine the applicability of different SAR satellites for early landslide identification in steep mountainous areas, which can serve as a technical reference for selecting appropriate SAR data and enhancing InSAR identification abilities for potential landslides in the future.https://www.mdpi.com/2072-4292/15/18/4538SBAS−InSARALOS-2Sentinel-1geometric distortionapplicability analysis
spellingShingle Jin Deng
Keren Dai
Rubing Liang
Lichuan Chen
Ningling Wen
Guang Zheng
Hong Xu
Interferometric Synthetic Aperture Radar Applicability Analysis for Potential Landslide Identification in Steep Mountainous Areas with C/L Band Data
Remote Sensing
SBAS−InSAR
ALOS-2
Sentinel-1
geometric distortion
applicability analysis
title Interferometric Synthetic Aperture Radar Applicability Analysis for Potential Landslide Identification in Steep Mountainous Areas with C/L Band Data
title_full Interferometric Synthetic Aperture Radar Applicability Analysis for Potential Landslide Identification in Steep Mountainous Areas with C/L Band Data
title_fullStr Interferometric Synthetic Aperture Radar Applicability Analysis for Potential Landslide Identification in Steep Mountainous Areas with C/L Band Data
title_full_unstemmed Interferometric Synthetic Aperture Radar Applicability Analysis for Potential Landslide Identification in Steep Mountainous Areas with C/L Band Data
title_short Interferometric Synthetic Aperture Radar Applicability Analysis for Potential Landslide Identification in Steep Mountainous Areas with C/L Band Data
title_sort interferometric synthetic aperture radar applicability analysis for potential landslide identification in steep mountainous areas with c l band data
topic SBAS−InSAR
ALOS-2
Sentinel-1
geometric distortion
applicability analysis
url https://www.mdpi.com/2072-4292/15/18/4538
work_keys_str_mv AT jindeng interferometricsyntheticapertureradarapplicabilityanalysisforpotentiallandslideidentificationinsteepmountainousareaswithclbanddata
AT kerendai interferometricsyntheticapertureradarapplicabilityanalysisforpotentiallandslideidentificationinsteepmountainousareaswithclbanddata
AT rubingliang interferometricsyntheticapertureradarapplicabilityanalysisforpotentiallandslideidentificationinsteepmountainousareaswithclbanddata
AT lichuanchen interferometricsyntheticapertureradarapplicabilityanalysisforpotentiallandslideidentificationinsteepmountainousareaswithclbanddata
AT ninglingwen interferometricsyntheticapertureradarapplicabilityanalysisforpotentiallandslideidentificationinsteepmountainousareaswithclbanddata
AT guangzheng interferometricsyntheticapertureradarapplicabilityanalysisforpotentiallandslideidentificationinsteepmountainousareaswithclbanddata
AT hongxu interferometricsyntheticapertureradarapplicabilityanalysisforpotentiallandslideidentificationinsteepmountainousareaswithclbanddata