Monitoring glacial lake outburst flood susceptibility using Sentinel-1 SAR data, Google Earth Engine, and persistent scatterer interferometry
Funding to support this research from the University of St Andrews and the School of Geography and Sustainable Development is gratefully acknowledged. Continuous monitoring of glacial lakes, their parent glaciers and their surroundings is crucial because possible outbursts of these lakes pose a seri...
Published in: | Remote Sensing of Environment |
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ftstandrewserep:oai:research-repository.st-andrews.ac.uk:10023/25413 2023-07-02T03:32:34+02:00 Monitoring glacial lake outburst flood susceptibility using Sentinel-1 SAR data, Google Earth Engine, and persistent scatterer interferometry Wangchuk, Sonam Bolch, Tobias Robson, Benjamin Aubrey University of St Andrews. Environmental Change Research Group University of St Andrews. Bell-Edwards Geographic Data Institute University of St Andrews. School of Geography & Sustainable Development 2022-05-19T14:30:09Z 18 application/pdf http://hdl.handle.net/10023/25413 https://doi.org/10.1016/j.rse.2022.112910 eng eng Remote Sensing of Environment Wangchuk , S , Bolch , T & Robson , B A 2022 , ' Monitoring glacial lake outburst flood susceptibility using Sentinel-1 SAR data, Google Earth Engine, and persistent scatterer interferometry ' , Remote Sensing of Environment , vol. 271 , 112910 . https://doi.org/10.1016/j.rse.2022.112910 0034-4257 PURE: 277843564 PURE UUID: 6993e239-2f50-4b42-becf-2b0472ab411a RIS: urn:B63A39EBB8AE5AB75B2E857230A6CF06 Scopus: 85123915707 ORCID: /0000-0002-8201-5059/work/108119001 WOS: 000759732300001 http://hdl.handle.net/10023/25413 https://doi.org/10.1016/j.rse.2022.112910 Copyright © 2022 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). Sentinel-1 SAR Radar backscatter Google Earth Engine Persistent scatterer interferometry Glacial lake monitoring Glacial lake hazard Slope stability Outburst susceptibility GB Physical geography NDAS SDG 13 - Climate Action AC GB Journal article 2022 ftstandrewserep https://doi.org/10.1016/j.rse.2022.112910 2023-06-13T18:25:33Z Funding to support this research from the University of St Andrews and the School of Geography and Sustainable Development is gratefully acknowledged. Continuous monitoring of glacial lakes, their parent glaciers and their surroundings is crucial because possible outbursts of these lakes pose a serious hazard to downstream areas. Ongoing climate change increases the risk of this hazard globally due to recession of glaciers leading to formation and expansion of glacial lakes, and permafrost degradation which impacts the stability of glaciers, slopes and moraines. Here, we demonstrate the capability of our approach for monitoring lake outburst susceptibility using time-series of Sentinel-1 Synthetic Aperture Radar (S-1 SAR) data. We selected Lunana in the Bhutanese Himalayas as an example region as it is highly susceptible to glacial lake outburst floods and suitable baseline data were available. We used Google Earth Engine (GEE) to calculate average radar backscatter intensity (ARBI) of glaciers, lakes, basins, and moraines. To determine the periodicity of the highest and the lowest radar backscatter intensity, we denoised the ARBI data using a Fast Fourier Transform and autocorrelated using a Pearson correlation function. Additionally, we determined glacier melt area, basin melt area, lake area, open water area, and lake ice area using radar backscatter intensity data. The Persistent Scatterer Interferometry (PSI) technique was used to investigate the stability of moraines and slopes around glacial lakes. The PSI results were qualitatively validated by comparison with high-resolution digital elevation model differencing results. Our approach showed that glaciers and basins in the region underwent seasonal and periodic changes in their radar backscatter intensity related to changes in ice and snow melt. Lakes also showed seasonal changes in their radar backscatter intensity related to the variation of lake ice and open water area, but the radar backscatter intensity change was not periodic. We could also infer ... Article in Journal/Newspaper Ice permafrost University of St Andrews: Digital Research Repository Glacial Lake ENVELOPE(-129.463,-129.463,58.259,58.259) Psi ENVELOPE(-63.000,-63.000,-64.300,-64.300) Remote Sensing of Environment 271 112910 |
institution |
Open Polar |
collection |
University of St Andrews: Digital Research Repository |
op_collection_id |
ftstandrewserep |
language |
English |
topic |
Sentinel-1 SAR Radar backscatter Google Earth Engine Persistent scatterer interferometry Glacial lake monitoring Glacial lake hazard Slope stability Outburst susceptibility GB Physical geography NDAS SDG 13 - Climate Action AC GB |
spellingShingle |
Sentinel-1 SAR Radar backscatter Google Earth Engine Persistent scatterer interferometry Glacial lake monitoring Glacial lake hazard Slope stability Outburst susceptibility GB Physical geography NDAS SDG 13 - Climate Action AC GB Wangchuk, Sonam Bolch, Tobias Robson, Benjamin Aubrey Monitoring glacial lake outburst flood susceptibility using Sentinel-1 SAR data, Google Earth Engine, and persistent scatterer interferometry |
topic_facet |
Sentinel-1 SAR Radar backscatter Google Earth Engine Persistent scatterer interferometry Glacial lake monitoring Glacial lake hazard Slope stability Outburst susceptibility GB Physical geography NDAS SDG 13 - Climate Action AC GB |
description |
Funding to support this research from the University of St Andrews and the School of Geography and Sustainable Development is gratefully acknowledged. Continuous monitoring of glacial lakes, their parent glaciers and their surroundings is crucial because possible outbursts of these lakes pose a serious hazard to downstream areas. Ongoing climate change increases the risk of this hazard globally due to recession of glaciers leading to formation and expansion of glacial lakes, and permafrost degradation which impacts the stability of glaciers, slopes and moraines. Here, we demonstrate the capability of our approach for monitoring lake outburst susceptibility using time-series of Sentinel-1 Synthetic Aperture Radar (S-1 SAR) data. We selected Lunana in the Bhutanese Himalayas as an example region as it is highly susceptible to glacial lake outburst floods and suitable baseline data were available. We used Google Earth Engine (GEE) to calculate average radar backscatter intensity (ARBI) of glaciers, lakes, basins, and moraines. To determine the periodicity of the highest and the lowest radar backscatter intensity, we denoised the ARBI data using a Fast Fourier Transform and autocorrelated using a Pearson correlation function. Additionally, we determined glacier melt area, basin melt area, lake area, open water area, and lake ice area using radar backscatter intensity data. The Persistent Scatterer Interferometry (PSI) technique was used to investigate the stability of moraines and slopes around glacial lakes. The PSI results were qualitatively validated by comparison with high-resolution digital elevation model differencing results. Our approach showed that glaciers and basins in the region underwent seasonal and periodic changes in their radar backscatter intensity related to changes in ice and snow melt. Lakes also showed seasonal changes in their radar backscatter intensity related to the variation of lake ice and open water area, but the radar backscatter intensity change was not periodic. We could also infer ... |
author2 |
University of St Andrews. Environmental Change Research Group University of St Andrews. Bell-Edwards Geographic Data Institute University of St Andrews. School of Geography & Sustainable Development |
format |
Article in Journal/Newspaper |
author |
Wangchuk, Sonam Bolch, Tobias Robson, Benjamin Aubrey |
author_facet |
Wangchuk, Sonam Bolch, Tobias Robson, Benjamin Aubrey |
author_sort |
Wangchuk, Sonam |
title |
Monitoring glacial lake outburst flood susceptibility using Sentinel-1 SAR data, Google Earth Engine, and persistent scatterer interferometry |
title_short |
Monitoring glacial lake outburst flood susceptibility using Sentinel-1 SAR data, Google Earth Engine, and persistent scatterer interferometry |
title_full |
Monitoring glacial lake outburst flood susceptibility using Sentinel-1 SAR data, Google Earth Engine, and persistent scatterer interferometry |
title_fullStr |
Monitoring glacial lake outburst flood susceptibility using Sentinel-1 SAR data, Google Earth Engine, and persistent scatterer interferometry |
title_full_unstemmed |
Monitoring glacial lake outburst flood susceptibility using Sentinel-1 SAR data, Google Earth Engine, and persistent scatterer interferometry |
title_sort |
monitoring glacial lake outburst flood susceptibility using sentinel-1 sar data, google earth engine, and persistent scatterer interferometry |
publishDate |
2022 |
url |
http://hdl.handle.net/10023/25413 https://doi.org/10.1016/j.rse.2022.112910 |
long_lat |
ENVELOPE(-129.463,-129.463,58.259,58.259) ENVELOPE(-63.000,-63.000,-64.300,-64.300) |
geographic |
Glacial Lake Psi |
geographic_facet |
Glacial Lake Psi |
genre |
Ice permafrost |
genre_facet |
Ice permafrost |
op_relation |
Remote Sensing of Environment Wangchuk , S , Bolch , T & Robson , B A 2022 , ' Monitoring glacial lake outburst flood susceptibility using Sentinel-1 SAR data, Google Earth Engine, and persistent scatterer interferometry ' , Remote Sensing of Environment , vol. 271 , 112910 . https://doi.org/10.1016/j.rse.2022.112910 0034-4257 PURE: 277843564 PURE UUID: 6993e239-2f50-4b42-becf-2b0472ab411a RIS: urn:B63A39EBB8AE5AB75B2E857230A6CF06 Scopus: 85123915707 ORCID: /0000-0002-8201-5059/work/108119001 WOS: 000759732300001 http://hdl.handle.net/10023/25413 https://doi.org/10.1016/j.rse.2022.112910 |
op_rights |
Copyright © 2022 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
op_doi |
https://doi.org/10.1016/j.rse.2022.112910 |
container_title |
Remote Sensing of Environment |
container_volume |
271 |
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112910 |
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