Frequent Glacial Hazard Deformation Detection Based on POT-SBAS InSAR in the Sedongpu Basin in the Himalayan Region
The Sedongpu Basin is characterized by frequent glacial debris movements and glacial hazards. To accurately monitor and research these glacier hazards, Sentinel-1 Synthetic Aperture Radar images observed between 2014 and 2022 were collected to extract surface motion using SBAS-POT technology. The ac...
Saved in:
Main Authors: | , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/17/2/319 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832587601956044800 |
---|---|
author | Haoliang Li Yinghui Yang Xiujun Dong Qiang Xu Pengfei Li Jingjing Zhao Qiang Chen Jyr-Ching Hu |
author_facet | Haoliang Li Yinghui Yang Xiujun Dong Qiang Xu Pengfei Li Jingjing Zhao Qiang Chen Jyr-Ching Hu |
author_sort | Haoliang Li |
collection | DOAJ |
description | The Sedongpu Basin is characterized by frequent glacial debris movements and glacial hazards. To accurately monitor and research these glacier hazards, Sentinel-1 Synthetic Aperture Radar images observed between 2014 and 2022 were collected to extract surface motion using SBAS-POT technology. The acquired temporal surface deformation and multiple optical remote sensing images were then jointly used to analyze the characteristics of the long-term glacier movement in the Sedongpu Basin. Furthermore, historical meteorological and seismic data were collected to analyze the mechanisms of multiple ice avalanche chain hazards. It was found that abnormal deformation signals of glaciers SDP1 and SDP2 could be linked to the historical ice avalanche disaster that occurred around the Sedongpu Basin. The maximum deformation rate of SDP1 was 74 m/a and the slope cumulative deformation exceeded 500 m during the monitoring period from 2014 to 2022, which is still in active motion at present; for SDP2, a cumulative deformation of more than 300 m was also detected over the monitoring period. Glaciers SDP3, SDP4, and SDP5 have been relatively stable until now; however, ice cracks are well developed in SDP4 and SDP5, and ice avalanche events may occur if these ice cracks continue to expand under extreme natural conditions in the future. Therefore, this paper emphasizes the seriousness of the ice avalanche event in Sedongpu Basin and provides data support for local disaster management and disaster prevention and reduction. |
format | Article |
id | doaj-art-dcfc7d4960674904b071fde4895aa36a |
institution | Kabale University |
issn | 2072-4292 |
language | English |
publishDate | 2025-01-01 |
publisher | MDPI AG |
record_format | Article |
series | Remote Sensing |
spelling | doaj-art-dcfc7d4960674904b071fde4895aa36a2025-01-24T13:48:07ZengMDPI AGRemote Sensing2072-42922025-01-0117231910.3390/rs17020319Frequent Glacial Hazard Deformation Detection Based on POT-SBAS InSAR in the Sedongpu Basin in the Himalayan RegionHaoliang Li0Yinghui Yang1Xiujun Dong2Qiang Xu3Pengfei Li4Jingjing Zhao5Qiang Chen6Jyr-Ching Hu7State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, ChinaState Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, ChinaState Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, ChinaState Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, ChinaGuiyang Engineering Corporation Limited, PowerChina, Guiyang 550081, ChinaDepartment of Remote Sensing and Geoinformation Engineering, Southwest Jiaotong University, Chengdu 610031, ChinaDepartment of Remote Sensing and Geoinformation Engineering, Southwest Jiaotong University, Chengdu 610031, ChinaDepartment of Geosciences, National Taiwan University, Taipei 10617, TaiwanThe Sedongpu Basin is characterized by frequent glacial debris movements and glacial hazards. To accurately monitor and research these glacier hazards, Sentinel-1 Synthetic Aperture Radar images observed between 2014 and 2022 were collected to extract surface motion using SBAS-POT technology. The acquired temporal surface deformation and multiple optical remote sensing images were then jointly used to analyze the characteristics of the long-term glacier movement in the Sedongpu Basin. Furthermore, historical meteorological and seismic data were collected to analyze the mechanisms of multiple ice avalanche chain hazards. It was found that abnormal deformation signals of glaciers SDP1 and SDP2 could be linked to the historical ice avalanche disaster that occurred around the Sedongpu Basin. The maximum deformation rate of SDP1 was 74 m/a and the slope cumulative deformation exceeded 500 m during the monitoring period from 2014 to 2022, which is still in active motion at present; for SDP2, a cumulative deformation of more than 300 m was also detected over the monitoring period. Glaciers SDP3, SDP4, and SDP5 have been relatively stable until now; however, ice cracks are well developed in SDP4 and SDP5, and ice avalanche events may occur if these ice cracks continue to expand under extreme natural conditions in the future. Therefore, this paper emphasizes the seriousness of the ice avalanche event in Sedongpu Basin and provides data support for local disaster management and disaster prevention and reduction.https://www.mdpi.com/2072-4292/17/2/319frequent glacial hazardsSBAS-POTdeformation monitoringcausing mechanism analyzation |
spellingShingle | Haoliang Li Yinghui Yang Xiujun Dong Qiang Xu Pengfei Li Jingjing Zhao Qiang Chen Jyr-Ching Hu Frequent Glacial Hazard Deformation Detection Based on POT-SBAS InSAR in the Sedongpu Basin in the Himalayan Region Remote Sensing frequent glacial hazards SBAS-POT deformation monitoring causing mechanism analyzation |
title | Frequent Glacial Hazard Deformation Detection Based on POT-SBAS InSAR in the Sedongpu Basin in the Himalayan Region |
title_full | Frequent Glacial Hazard Deformation Detection Based on POT-SBAS InSAR in the Sedongpu Basin in the Himalayan Region |
title_fullStr | Frequent Glacial Hazard Deformation Detection Based on POT-SBAS InSAR in the Sedongpu Basin in the Himalayan Region |
title_full_unstemmed | Frequent Glacial Hazard Deformation Detection Based on POT-SBAS InSAR in the Sedongpu Basin in the Himalayan Region |
title_short | Frequent Glacial Hazard Deformation Detection Based on POT-SBAS InSAR in the Sedongpu Basin in the Himalayan Region |
title_sort | frequent glacial hazard deformation detection based on pot sbas insar in the sedongpu basin in the himalayan region |
topic | frequent glacial hazards SBAS-POT deformation monitoring causing mechanism analyzation |
url | https://www.mdpi.com/2072-4292/17/2/319 |
work_keys_str_mv | AT haoliangli frequentglacialhazarddeformationdetectionbasedonpotsbasinsarinthesedongpubasininthehimalayanregion AT yinghuiyang frequentglacialhazarddeformationdetectionbasedonpotsbasinsarinthesedongpubasininthehimalayanregion AT xiujundong frequentglacialhazarddeformationdetectionbasedonpotsbasinsarinthesedongpubasininthehimalayanregion AT qiangxu frequentglacialhazarddeformationdetectionbasedonpotsbasinsarinthesedongpubasininthehimalayanregion AT pengfeili frequentglacialhazarddeformationdetectionbasedonpotsbasinsarinthesedongpubasininthehimalayanregion AT jingjingzhao frequentglacialhazarddeformationdetectionbasedonpotsbasinsarinthesedongpubasininthehimalayanregion AT qiangchen frequentglacialhazarddeformationdetectionbasedonpotsbasinsarinthesedongpubasininthehimalayanregion AT jyrchinghu frequentglacialhazarddeformationdetectionbasedonpotsbasinsarinthesedongpubasininthehimalayanregion |