Detecting Rock Glacier Displacement in the Central Himalayas Using Multi-Temporal InSAR
Rock glaciers represent typical periglacial landscapes and are distributed widely in alpine mountain environments. Rock glacier activity represents a critical indicator of water reserves state, permafrost distribution, and landslide disaster susceptibility. The dynamics of rock glacier activity in a...
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ftmdpi:oai:mdpi.com:/2072-4292/13/23/4738/ 2023-08-20T04:09:15+02:00 Detecting Rock Glacier Displacement in the Central Himalayas Using Multi-Temporal InSAR Xuefei Zhang Min Feng Hong Zhang Chao Wang Yixian Tang Jinhao Xu Dezhao Yan Chunling Wang agris 2021-11-23 application/pdf https://doi.org/10.3390/rs13234738 EN eng Multidisciplinary Digital Publishing Institute Environmental Remote Sensing https://dx.doi.org/10.3390/rs13234738 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 13; Issue 23; Pages: 4738 Himalayas MT-InSAR rock glaciers deformation active deformation areas activity Text 2021 ftmdpi https://doi.org/10.3390/rs13234738 2023-08-01T03:20:24Z Rock glaciers represent typical periglacial landscapes and are distributed widely in alpine mountain environments. Rock glacier activity represents a critical indicator of water reserves state, permafrost distribution, and landslide disaster susceptibility. The dynamics of rock glacier activity in alpine periglacial environments are poorly quantified, especially in the central Himalayas. Multi-temporal Interferometric Synthetic Aperture Radar (MT-InSAR) has been shown to be a useful technique for rock glacier deformation detection. In this study, we developed a multi-baseline persistent scatterer (PS) and distributed scatterer (DS) combined MT-InSAR method to monitor the activity of rock glaciers in the central Himalayas. In periglacial landforms, the application of the PS interferometry (PSI) method is restricted by insufficient PS due to large temporal baseline intervals and temporal decorrelation, which hinder comprehensive measurements of rock glaciers. Thus, we first evaluated the rock glacier interferometric coherence of all possible interferometric combinations and determined a multi-baseline network based on rock glacier coherence; then, we constructed a Delaunay triangulation network (DTN) by exploiting both PS and DS points. To improve the robustness of deformation parameters estimation in the DTN, we combined the Nelder–Mead algorithm with the M-estimator method to estimate the deformation rate variation at the arcs of the DTN and introduced a ridge-estimator-based weighted least square (WLR) method for the inversion of the deformation rate from the deformation rate variation. We applied our method to Sentinel-1A ascending and descending geometry data (May 2018 to January 2019) and obtained measurements of rock glacier deformation for 4327 rock glaciers over the central Himalayas, at least more than 15% detecting with single geometry data. The line-of-sight (LOS) deformation of rock glaciers in the central Himalayas ranged from −150 mm to 150 mm. We classified the active deformation area (ADA) of all ... Text permafrost MDPI Open Access Publishing Psi ENVELOPE(-63.000,-63.000,-64.300,-64.300) Remote Sensing 13 23 4738 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
Himalayas MT-InSAR rock glaciers deformation active deformation areas activity |
spellingShingle |
Himalayas MT-InSAR rock glaciers deformation active deformation areas activity Xuefei Zhang Min Feng Hong Zhang Chao Wang Yixian Tang Jinhao Xu Dezhao Yan Chunling Wang Detecting Rock Glacier Displacement in the Central Himalayas Using Multi-Temporal InSAR |
topic_facet |
Himalayas MT-InSAR rock glaciers deformation active deformation areas activity |
description |
Rock glaciers represent typical periglacial landscapes and are distributed widely in alpine mountain environments. Rock glacier activity represents a critical indicator of water reserves state, permafrost distribution, and landslide disaster susceptibility. The dynamics of rock glacier activity in alpine periglacial environments are poorly quantified, especially in the central Himalayas. Multi-temporal Interferometric Synthetic Aperture Radar (MT-InSAR) has been shown to be a useful technique for rock glacier deformation detection. In this study, we developed a multi-baseline persistent scatterer (PS) and distributed scatterer (DS) combined MT-InSAR method to monitor the activity of rock glaciers in the central Himalayas. In periglacial landforms, the application of the PS interferometry (PSI) method is restricted by insufficient PS due to large temporal baseline intervals and temporal decorrelation, which hinder comprehensive measurements of rock glaciers. Thus, we first evaluated the rock glacier interferometric coherence of all possible interferometric combinations and determined a multi-baseline network based on rock glacier coherence; then, we constructed a Delaunay triangulation network (DTN) by exploiting both PS and DS points. To improve the robustness of deformation parameters estimation in the DTN, we combined the Nelder–Mead algorithm with the M-estimator method to estimate the deformation rate variation at the arcs of the DTN and introduced a ridge-estimator-based weighted least square (WLR) method for the inversion of the deformation rate from the deformation rate variation. We applied our method to Sentinel-1A ascending and descending geometry data (May 2018 to January 2019) and obtained measurements of rock glacier deformation for 4327 rock glaciers over the central Himalayas, at least more than 15% detecting with single geometry data. The line-of-sight (LOS) deformation of rock glaciers in the central Himalayas ranged from −150 mm to 150 mm. We classified the active deformation area (ADA) of all ... |
format |
Text |
author |
Xuefei Zhang Min Feng Hong Zhang Chao Wang Yixian Tang Jinhao Xu Dezhao Yan Chunling Wang |
author_facet |
Xuefei Zhang Min Feng Hong Zhang Chao Wang Yixian Tang Jinhao Xu Dezhao Yan Chunling Wang |
author_sort |
Xuefei Zhang |
title |
Detecting Rock Glacier Displacement in the Central Himalayas Using Multi-Temporal InSAR |
title_short |
Detecting Rock Glacier Displacement in the Central Himalayas Using Multi-Temporal InSAR |
title_full |
Detecting Rock Glacier Displacement in the Central Himalayas Using Multi-Temporal InSAR |
title_fullStr |
Detecting Rock Glacier Displacement in the Central Himalayas Using Multi-Temporal InSAR |
title_full_unstemmed |
Detecting Rock Glacier Displacement in the Central Himalayas Using Multi-Temporal InSAR |
title_sort |
detecting rock glacier displacement in the central himalayas using multi-temporal insar |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2021 |
url |
https://doi.org/10.3390/rs13234738 |
op_coverage |
agris |
long_lat |
ENVELOPE(-63.000,-63.000,-64.300,-64.300) |
geographic |
Psi |
geographic_facet |
Psi |
genre |
permafrost |
genre_facet |
permafrost |
op_source |
Remote Sensing; Volume 13; Issue 23; Pages: 4738 |
op_relation |
Environmental Remote Sensing https://dx.doi.org/10.3390/rs13234738 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs13234738 |
container_title |
Remote Sensing |
container_volume |
13 |
container_issue |
23 |
container_start_page |
4738 |
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1774722071525326848 |