Joint Use of Optical and Radar Remote Sensing Data for Characterizing the 2020 Aniangzhai Landslide Post-Failure Displacement
The ancient Aniangzhai (ANZ) landslide in Danba County, Sichuan Province of southwest China was reactivated after a series of complex hazard events that occurred in June 2020. Since then, and until June 2021, emergency engineering work was carried out to prevent the further failure of the reactivate...
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MDPI AG
2023-01-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/15/2/369 |
| _version_ | 1797437520472965120 |
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| author | Jianming Kuang Alex Hay-Man Ng Linlin Ge Graciela Isabel Metternicht Stuart Raymond Clark |
| author_facet | Jianming Kuang Alex Hay-Man Ng Linlin Ge Graciela Isabel Metternicht Stuart Raymond Clark |
| author_sort | Jianming Kuang |
| collection | DOAJ |
| description | The ancient Aniangzhai (ANZ) landslide in Danba County, Sichuan Province of southwest China was reactivated after a series of complex hazard events that occurred in June 2020. Since then, and until June 2021, emergency engineering work was carried out to prevent the further failure of the reactivated landslide. This study investigates the potential of joint use of time series Interferometric Synthetic Aperture Radar (InSAR) and optical pixel offset tracking (POT) to assess deformation characteristic and spatial-temporal evolution of the reactivated ANZ landslide during the post-failure stage. The relationships between sun illumination differences, temporal baseline of correlation pairs and the uncertainties were deeply explored. Surface deformation along the line-of-sight (LoS) direction was retrieved by the time series InSAR processing with the two Sentinel-1 datasets, revealing a maximum deformation rate up to 190 mm/year. The large horizontal displacements were also detected from the POT processing using 11 optical images acquired by the PlanetScope satellite (3 m spatial resolution), showing a significant increase of about 24 m between 24 June 2020 and 11 June 2021. The time series analysis from the InSAR and optical POT results revealed that the reactivated ANZ landslide body is gradually slowing down to a steady deformation status since its occurrence in August 2020, indicating the effectiveness of engineering work on the prevention of further landslide. A slight acceleration was detected from both InSAR and optical POT time series analysis between May 2021 and June 2021, which could be caused by the increased rainfall in May 2021. |
| first_indexed | 2024-03-09T11:20:31Z |
| format | Article |
| id | doaj.art-b6c19d31f4464451a743346b868152af |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T11:20:31Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-b6c19d31f4464451a743346b868152af2023-12-01T00:19:39ZengMDPI AGRemote Sensing2072-42922023-01-0115236910.3390/rs15020369Joint Use of Optical and Radar Remote Sensing Data for Characterizing the 2020 Aniangzhai Landslide Post-Failure DisplacementJianming Kuang0Alex Hay-Man Ng1Linlin Ge2Graciela Isabel Metternicht3Stuart Raymond Clark4Department of Surveying Engineering, Guangdong University of Technology, Guangzhou 510006, ChinaDepartment of Surveying Engineering, Guangdong University of Technology, Guangzhou 510006, ChinaGeoscience Earth Observing System Group (GEOS), School of Civil and Environmental Engineering, University of New South Wales (UNSW), Sydney, NSW 2052, AustraliaEarth and Sustainability Science Research Centre, The University of New South Wales (UNSW), Sydney, NSW 2052, AustraliaSchool of Minerals and Energy Resources, The University of New South Wales (UNSW), Sydney, NSW 2052, AustraliaThe ancient Aniangzhai (ANZ) landslide in Danba County, Sichuan Province of southwest China was reactivated after a series of complex hazard events that occurred in June 2020. Since then, and until June 2021, emergency engineering work was carried out to prevent the further failure of the reactivated landslide. This study investigates the potential of joint use of time series Interferometric Synthetic Aperture Radar (InSAR) and optical pixel offset tracking (POT) to assess deformation characteristic and spatial-temporal evolution of the reactivated ANZ landslide during the post-failure stage. The relationships between sun illumination differences, temporal baseline of correlation pairs and the uncertainties were deeply explored. Surface deformation along the line-of-sight (LoS) direction was retrieved by the time series InSAR processing with the two Sentinel-1 datasets, revealing a maximum deformation rate up to 190 mm/year. The large horizontal displacements were also detected from the POT processing using 11 optical images acquired by the PlanetScope satellite (3 m spatial resolution), showing a significant increase of about 24 m between 24 June 2020 and 11 June 2021. The time series analysis from the InSAR and optical POT results revealed that the reactivated ANZ landslide body is gradually slowing down to a steady deformation status since its occurrence in August 2020, indicating the effectiveness of engineering work on the prevention of further landslide. A slight acceleration was detected from both InSAR and optical POT time series analysis between May 2021 and June 2021, which could be caused by the increased rainfall in May 2021.https://www.mdpi.com/2072-4292/15/2/369reactivated landslideremote sensing datadeformationpixel offset trackingspatial-temporal evolution |
| spellingShingle | Jianming Kuang Alex Hay-Man Ng Linlin Ge Graciela Isabel Metternicht Stuart Raymond Clark Joint Use of Optical and Radar Remote Sensing Data for Characterizing the 2020 Aniangzhai Landslide Post-Failure Displacement Remote Sensing reactivated landslide remote sensing data deformation pixel offset tracking spatial-temporal evolution |
| title | Joint Use of Optical and Radar Remote Sensing Data for Characterizing the 2020 Aniangzhai Landslide Post-Failure Displacement |
| title_full | Joint Use of Optical and Radar Remote Sensing Data for Characterizing the 2020 Aniangzhai Landslide Post-Failure Displacement |
| title_fullStr | Joint Use of Optical and Radar Remote Sensing Data for Characterizing the 2020 Aniangzhai Landslide Post-Failure Displacement |
| title_full_unstemmed | Joint Use of Optical and Radar Remote Sensing Data for Characterizing the 2020 Aniangzhai Landslide Post-Failure Displacement |
| title_short | Joint Use of Optical and Radar Remote Sensing Data for Characterizing the 2020 Aniangzhai Landslide Post-Failure Displacement |
| title_sort | joint use of optical and radar remote sensing data for characterizing the 2020 aniangzhai landslide post failure displacement |
| topic | reactivated landslide remote sensing data deformation pixel offset tracking spatial-temporal evolution |
| url | https://www.mdpi.com/2072-4292/15/2/369 |
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