Monitoring glacial lake outburst flood susceptibility using Sentinel-1 SAR data, Google Earth Engine, and persistent scatterer interferometry
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...
Published in: | Remote Sensing of Environment |
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Format: | Article in Journal/Newspaper |
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2022
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Online Access: | https://research.vu.nl/en/publications/6ea74c8c-a76f-41b6-8ece-07cde73f5ca5 https://doi.org/10.1016/j.rse.2022.112910 https://hdl.handle.net/1871.1/6ea74c8c-a76f-41b6-8ece-07cde73f5ca5 http://www.scopus.com/inward/record.url?scp=85123915707&partnerID=8YFLogxK http://www.scopus.com/inward/citedby.url?scp=85123915707&partnerID=8YFLogxK |
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ftvuamstcris:oai:research.vu.nl:publications/6ea74c8c-a76f-41b6-8ece-07cde73f5ca5 2024-06-23T07:53:40+00:00 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 2022-03-15 https://research.vu.nl/en/publications/6ea74c8c-a76f-41b6-8ece-07cde73f5ca5 https://doi.org/10.1016/j.rse.2022.112910 https://hdl.handle.net/1871.1/6ea74c8c-a76f-41b6-8ece-07cde73f5ca5 http://www.scopus.com/inward/record.url?scp=85123915707&partnerID=8YFLogxK http://www.scopus.com/inward/citedby.url?scp=85123915707&partnerID=8YFLogxK eng eng https://research.vu.nl/en/publications/6ea74c8c-a76f-41b6-8ece-07cde73f5ca5 info:eu-repo/semantics/openAccess 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 , pp. 1-18 . https://doi.org/10.1016/j.rse.2022.112910 Glacial lake hazard Glacial lake monitoring Google Earth Engine Outburst susceptibility Persistent scatterer interferometry Radar backscatter SAR Sentinel-1 Slope stability /dk/atira/pure/sustainabledevelopmentgoals/climate_action name=SDG 13 - Climate Action article 2022 ftvuamstcris https://doi.org/10.1016/j.rse.2022.112910 2024-06-06T00:30:19Z 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 lake area change using a time-series radar backscatter intensity data such as the rapid expansion of Bechung Tsho. The PSI analysis showed that all the ... Article in Journal/Newspaper Ice permafrost Vrije Universiteit Amsterdam (VU): Research Portal 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 |
Vrije Universiteit Amsterdam (VU): Research Portal |
op_collection_id |
ftvuamstcris |
language |
English |
topic |
Glacial lake hazard Glacial lake monitoring Google Earth Engine Outburst susceptibility Persistent scatterer interferometry Radar backscatter SAR Sentinel-1 Slope stability /dk/atira/pure/sustainabledevelopmentgoals/climate_action name=SDG 13 - Climate Action |
spellingShingle |
Glacial lake hazard Glacial lake monitoring Google Earth Engine Outburst susceptibility Persistent scatterer interferometry Radar backscatter SAR Sentinel-1 Slope stability /dk/atira/pure/sustainabledevelopmentgoals/climate_action name=SDG 13 - Climate Action 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 |
Glacial lake hazard Glacial lake monitoring Google Earth Engine Outburst susceptibility Persistent scatterer interferometry Radar backscatter SAR Sentinel-1 Slope stability /dk/atira/pure/sustainabledevelopmentgoals/climate_action name=SDG 13 - Climate Action |
description |
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 lake area change using a time-series radar backscatter intensity data such as the rapid expansion of Bechung Tsho. The PSI analysis showed that all the ... |
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 |
https://research.vu.nl/en/publications/6ea74c8c-a76f-41b6-8ece-07cde73f5ca5 https://doi.org/10.1016/j.rse.2022.112910 https://hdl.handle.net/1871.1/6ea74c8c-a76f-41b6-8ece-07cde73f5ca5 http://www.scopus.com/inward/record.url?scp=85123915707&partnerID=8YFLogxK http://www.scopus.com/inward/citedby.url?scp=85123915707&partnerID=8YFLogxK |
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_source |
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 , pp. 1-18 . https://doi.org/10.1016/j.rse.2022.112910 |
op_relation |
https://research.vu.nl/en/publications/6ea74c8c-a76f-41b6-8ece-07cde73f5ca5 |
op_rights |
info:eu-repo/semantics/openAccess |
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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1802645422338998272 |