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Characterizing the evolution life cycle of the Sunkoshi landslide in Nepal with multi-source SAR data

A catastrophic landslide disaster happened on 2 August 2014 on the right bank of Sunkoshi River in Nepal, resulting in enormous casualties and severe damages of the Araniko highway. We collected multi-source synthetic aperture radar (SAR) data to investigate the evolution life cycle of the Sunkoshi...

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Autores principales: Ao, Meng, Zhang, Lu, Dong, Yuting, Su, Lijun, Shi, Xuguo, Balz, Timo, Liao, Mingsheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7582190/
https://www.ncbi.nlm.nih.gov/pubmed/33093621
http://dx.doi.org/10.1038/s41598-020-75002-y
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author Ao, Meng
Zhang, Lu
Dong, Yuting
Su, Lijun
Shi, Xuguo
Balz, Timo
Liao, Mingsheng
author_facet Ao, Meng
Zhang, Lu
Dong, Yuting
Su, Lijun
Shi, Xuguo
Balz, Timo
Liao, Mingsheng
author_sort Ao, Meng
collection PubMed
description A catastrophic landslide disaster happened on 2 August 2014 on the right bank of Sunkoshi River in Nepal, resulting in enormous casualties and severe damages of the Araniko highway. We collected multi-source synthetic aperture radar (SAR) data to investigate the evolution life cycle of the Sunkoshi landslide. Firstly, Distributed Scatterers SAR Interferometry (DS-InSAR) technology is applied to analyze 20 ALOS PALSAR images to retrieve pre-disaster time-series deformation. The results show that the upper part, especially the top of the landslide, has long been active before collapse, with the largest annual LOS deformation rate more than − 30 mm/year. Time series deformations measured illustrate that rainfall might be a key driving factor. Next, two pairs of TerraSAR-X/TanDEM-X bistatic data are processed to identify the landslide affected area by intensity change detection, and to generate pre- and post-disaster DSMs. Surface height change map showed maximum values of − 150.47 m at the source region and 55.65 m in the deposit region, leading to a debris volume of 5.4785 ± 0.6687 million m(3). Finally, 11 ALOS-2 PALSAR-2 and 82 Sentinel-1 SAR images are analyzed to derive post-disaster annual deformation rate and long time series displacements of the Sunkoshi landslide. The results illustrated that the upper part of the landslide were still in active deformation with the largest LOS displacement velocity exceeding − 100 mm/year.
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spelling pubmed-75821902020-10-23 Characterizing the evolution life cycle of the Sunkoshi landslide in Nepal with multi-source SAR data Ao, Meng Zhang, Lu Dong, Yuting Su, Lijun Shi, Xuguo Balz, Timo Liao, Mingsheng Sci Rep Article A catastrophic landslide disaster happened on 2 August 2014 on the right bank of Sunkoshi River in Nepal, resulting in enormous casualties and severe damages of the Araniko highway. We collected multi-source synthetic aperture radar (SAR) data to investigate the evolution life cycle of the Sunkoshi landslide. Firstly, Distributed Scatterers SAR Interferometry (DS-InSAR) technology is applied to analyze 20 ALOS PALSAR images to retrieve pre-disaster time-series deformation. The results show that the upper part, especially the top of the landslide, has long been active before collapse, with the largest annual LOS deformation rate more than − 30 mm/year. Time series deformations measured illustrate that rainfall might be a key driving factor. Next, two pairs of TerraSAR-X/TanDEM-X bistatic data are processed to identify the landslide affected area by intensity change detection, and to generate pre- and post-disaster DSMs. Surface height change map showed maximum values of − 150.47 m at the source region and 55.65 m in the deposit region, leading to a debris volume of 5.4785 ± 0.6687 million m(3). Finally, 11 ALOS-2 PALSAR-2 and 82 Sentinel-1 SAR images are analyzed to derive post-disaster annual deformation rate and long time series displacements of the Sunkoshi landslide. The results illustrated that the upper part of the landslide were still in active deformation with the largest LOS displacement velocity exceeding − 100 mm/year. Nature Publishing Group UK 2020-10-22 /pmc/articles/PMC7582190/ /pubmed/33093621 http://dx.doi.org/10.1038/s41598-020-75002-y Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Ao, Meng
Zhang, Lu
Dong, Yuting
Su, Lijun
Shi, Xuguo
Balz, Timo
Liao, Mingsheng
Characterizing the evolution life cycle of the Sunkoshi landslide in Nepal with multi-source SAR data
title Characterizing the evolution life cycle of the Sunkoshi landslide in Nepal with multi-source SAR data
title_full Characterizing the evolution life cycle of the Sunkoshi landslide in Nepal with multi-source SAR data
title_fullStr Characterizing the evolution life cycle of the Sunkoshi landslide in Nepal with multi-source SAR data
title_full_unstemmed Characterizing the evolution life cycle of the Sunkoshi landslide in Nepal with multi-source SAR data
title_short Characterizing the evolution life cycle of the Sunkoshi landslide in Nepal with multi-source SAR data
title_sort characterizing the evolution life cycle of the sunkoshi landslide in nepal with multi-source sar data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7582190/
https://www.ncbi.nlm.nih.gov/pubmed/33093621
http://dx.doi.org/10.1038/s41598-020-75002-y
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