Mapping and Characterizing Displacements of Landslides with InSAR and Airborne LiDAR Technologies: A Case Study of Danba County, Southwest China

Interferometric synthetic aperture radar (InSAR) technology is known as one of the most effective methods for active landslide identification and deformation monitoring in large areas, and thus it is conducive to preventing and mitigating the losses caused by landslides. However, great uncertainty i...

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Autores principales:	Qiang Xu, Chen Guo, Xiujun Dong, Weile Li, Huiyan Lu, Hao Fu, Xiaosha Liu
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	landslide detection deformation monitoring time series InSAR analysis airborne LiDAR high resolution DEM rainfall Science Q
Acceso en línea:	https://doaj.org/article/398335597b99442f8c1dcb12588dcbc2
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spelling	oai:doaj.org-article:398335597b99442f8c1dcb12588dcbc22021-11-11T18:50:52ZMapping and Characterizing Displacements of Landslides with InSAR and Airborne LiDAR Technologies: A Case Study of Danba County, Southwest China10.3390/rs132142342072-4292https://doaj.org/article/398335597b99442f8c1dcb12588dcbc22021-10-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/21/4234https://doaj.org/toc/2072-4292Interferometric synthetic aperture radar (InSAR) technology is known as one of the most effective methods for active landslide identification and deformation monitoring in large areas, and thus it is conducive to preventing and mitigating the losses caused by landslides. However, great uncertainty inevitably exists due to influences of complex terrains, dense vegetations, and atmospheric interferences in the southwestern mountainous area of China, and this is associated with false or erroneous judgment during the process of landslide identification. In this study, a landslide identification method is put forward by integrating InSAR technology and airborne light detection and ranging (LiDAR) technology. Via this method, surface deformation characteristics detected by InSAR technology and micro-geomorphic features reflected by LiDAR technology were used to identify and map landslides of large areas. Herein, the method was applied to process 224 Sentinel-1 images covering Danba County and its surrounding areas (540 km<sup>2</sup>) from October 2014 to September 2020. Firstly, 44 active landslides with total areas of 59 km<sup>2</sup> were detected by stacking InSAR technology. Then, major regions up to 135 km<sup>2</sup> were validated by data gained from the airborne LiDAR technology. Particularly, several large landslides with lengths and/or widths of more than 2 km were found. Further, the precipitation data were integrated with the above results to analyze the temporal deformation characteristics of three typical landslides from major regions via SBAS InSAR technology. The key findings were as follows: (1) The combination of InSAR and LiDAR technologies could improve the accuracy of landslide detection and identification; (2) there was a significant correlation between temporal deformation characteristics of some landslides and monthly rainfall, with an obvious hysteretic effect existing between the initiation timing of rainfall and that of deformation; (3) the results of this study will be important guidance for the prevention and control of geological hazards in Danba County and areas with similar complex geomorphological conditions by helping effectively identify and map landslides.Qiang XuChen GuoXiujun DongWeile LiHuiyan LuHao FuXiaosha LiuMDPI AGarticlelandslide detectiondeformation monitoringtime series InSAR analysisairborne LiDARhigh resolution DEMrainfallScienceQENRemote Sensing, Vol 13, Iss 4234, p 4234 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	landslide detection deformation monitoring time series InSAR analysis airborne LiDAR high resolution DEM rainfall Science Q
spellingShingle	landslide detection deformation monitoring time series InSAR analysis airborne LiDAR high resolution DEM rainfall Science Q Qiang Xu Chen Guo Xiujun Dong Weile Li Huiyan Lu Hao Fu Xiaosha Liu Mapping and Characterizing Displacements of Landslides with InSAR and Airborne LiDAR Technologies: A Case Study of Danba County, Southwest China
description	Interferometric synthetic aperture radar (InSAR) technology is known as one of the most effective methods for active landslide identification and deformation monitoring in large areas, and thus it is conducive to preventing and mitigating the losses caused by landslides. However, great uncertainty inevitably exists due to influences of complex terrains, dense vegetations, and atmospheric interferences in the southwestern mountainous area of China, and this is associated with false or erroneous judgment during the process of landslide identification. In this study, a landslide identification method is put forward by integrating InSAR technology and airborne light detection and ranging (LiDAR) technology. Via this method, surface deformation characteristics detected by InSAR technology and micro-geomorphic features reflected by LiDAR technology were used to identify and map landslides of large areas. Herein, the method was applied to process 224 Sentinel-1 images covering Danba County and its surrounding areas (540 km<sup>2</sup>) from October 2014 to September 2020. Firstly, 44 active landslides with total areas of 59 km<sup>2</sup> were detected by stacking InSAR technology. Then, major regions up to 135 km<sup>2</sup> were validated by data gained from the airborne LiDAR technology. Particularly, several large landslides with lengths and/or widths of more than 2 km were found. Further, the precipitation data were integrated with the above results to analyze the temporal deformation characteristics of three typical landslides from major regions via SBAS InSAR technology. The key findings were as follows: (1) The combination of InSAR and LiDAR technologies could improve the accuracy of landslide detection and identification; (2) there was a significant correlation between temporal deformation characteristics of some landslides and monthly rainfall, with an obvious hysteretic effect existing between the initiation timing of rainfall and that of deformation; (3) the results of this study will be important guidance for the prevention and control of geological hazards in Danba County and areas with similar complex geomorphological conditions by helping effectively identify and map landslides.
format	article
author	Qiang Xu Chen Guo Xiujun Dong Weile Li Huiyan Lu Hao Fu Xiaosha Liu
author_facet	Qiang Xu Chen Guo Xiujun Dong Weile Li Huiyan Lu Hao Fu Xiaosha Liu
author_sort	Qiang Xu
title	Mapping and Characterizing Displacements of Landslides with InSAR and Airborne LiDAR Technologies: A Case Study of Danba County, Southwest China
title_short	Mapping and Characterizing Displacements of Landslides with InSAR and Airborne LiDAR Technologies: A Case Study of Danba County, Southwest China
title_full	Mapping and Characterizing Displacements of Landslides with InSAR and Airborne LiDAR Technologies: A Case Study of Danba County, Southwest China
title_fullStr	Mapping and Characterizing Displacements of Landslides with InSAR and Airborne LiDAR Technologies: A Case Study of Danba County, Southwest China
title_full_unstemmed	Mapping and Characterizing Displacements of Landslides with InSAR and Airborne LiDAR Technologies: A Case Study of Danba County, Southwest China
title_sort	mapping and characterizing displacements of landslides with insar and airborne lidar technologies: a case study of danba county, southwest china
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/398335597b99442f8c1dcb12588dcbc2
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Mapping and Characterizing Displacements of Landslides with InSAR and Airborne LiDAR Technologies: A Case Study of Danba County, Southwest China

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