Monitoring Ground Surface Deformation of Ice-Wedge Polygon Areas in Saskylakh, NW Yakutia, Using Interferometric Synthetic Aperture Radar (InSAR) and Google Earth Engine (GEE)
As one of the best indicators of the periglacial environment, ice-wedge polygons (IWPs) are important for arctic landscapes, hydrology, engineering, and ecosystems. Thus, a better understanding of the spatiotemporal dynamics and evolution of IWPs is key to evaluating the hydrothermal state and carbo...
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MDPI AG
2023
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Online Access: | https://doi.org/10.3390/rs15051335 https://doaj.org/article/badcf45a46da48d6bc5ac146a4faf301 |
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ftdoajarticles:oai:doaj.org/article:badcf45a46da48d6bc5ac146a4faf301 2023-05-15T13:03:31+02:00 Monitoring Ground Surface Deformation of Ice-Wedge Polygon Areas in Saskylakh, NW Yakutia, Using Interferometric Synthetic Aperture Radar (InSAR) and Google Earth Engine (GEE) Wenhui Wang Huijun Jin Ze Zhang Mikhail N. Zhelezniak Valentin V. Spektor Raul-David Șerban Anyuan Li Vladimir Tumskoy Xiaoying Jin Suiqiao Yang Shengrong Zhang Xiaoying Li Mihaela Șerban Qingbai Wu Yanan Wen 2023-02-01T00:00:00Z https://doi.org/10.3390/rs15051335 https://doaj.org/article/badcf45a46da48d6bc5ac146a4faf301 EN eng MDPI AG https://www.mdpi.com/2072-4292/15/5/1335 https://doaj.org/toc/2072-4292 doi:10.3390/rs15051335 2072-4292 https://doaj.org/article/badcf45a46da48d6bc5ac146a4faf301 Remote Sensing, Vol 15, Iss 1335, p 1335 (2023) climate change ice-wedge polygon (IWP) ground surface deformation (GSD) interferometric synthetic aperture radar (InSAR) Google Earth Engine (GEE) Russian Arctic Science Q article 2023 ftdoajarticles https://doi.org/10.3390/rs15051335 2023-03-12T01:28:58Z As one of the best indicators of the periglacial environment, ice-wedge polygons (IWPs) are important for arctic landscapes, hydrology, engineering, and ecosystems. Thus, a better understanding of the spatiotemporal dynamics and evolution of IWPs is key to evaluating the hydrothermal state and carbon budgets of the arctic permafrost environment. In this paper, the dynamics of ground surface deformation (GSD) in IWP zones (2018–2019) and their influencing factors over the last 20 years in Saskylakh, northwestern Yakutia, Russia were investigated using the Interferometric Synthetic Aperture Radar (InSAR) and Google Earth Engine (GEE). The results show an annual ground surface deformation rate (AGSDR) in Saskylakh at −49.73 to 45.97 mm/a during the period from 1 June 2018 to 3 May 2019. All the selected GSD regions indicate that the relationship between GSD and land surface temperature (LST) is positive (upheaving) for regions with larger AGSDR, and negative (subsidence) for regions with lower AGSDR. The most drastic deformation was observed at the Aeroport regions with GSDs rates of −37.06 mm/a at tower and 35.45 mm/a at runway. The GSDs are negatively correlated with the LST of most low-centered polygons (LCPs) and high-centered polygons (HCPs). Specifically, the higher the vegetation cover, the higher the LST and the thicker the active layer. An evident permafrost degradation has been observed in Saskylakh as reflected in higher ground temperatures, lusher vegetation, greater active layer thickness, and fluctuant numbers and areal extents of thermokarst lakes and ponds. Article in Journal/Newspaper Active layer thickness Arctic Climate change Ice permafrost Thermokarst wedge* Yakutia Directory of Open Access Journals: DOAJ Articles Arctic Saskylakh ENVELOPE(114.092,114.092,71.963,71.963) Remote Sensing 15 5 1335 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
climate change ice-wedge polygon (IWP) ground surface deformation (GSD) interferometric synthetic aperture radar (InSAR) Google Earth Engine (GEE) Russian Arctic Science Q |
spellingShingle |
climate change ice-wedge polygon (IWP) ground surface deformation (GSD) interferometric synthetic aperture radar (InSAR) Google Earth Engine (GEE) Russian Arctic Science Q Wenhui Wang Huijun Jin Ze Zhang Mikhail N. Zhelezniak Valentin V. Spektor Raul-David Șerban Anyuan Li Vladimir Tumskoy Xiaoying Jin Suiqiao Yang Shengrong Zhang Xiaoying Li Mihaela Șerban Qingbai Wu Yanan Wen Monitoring Ground Surface Deformation of Ice-Wedge Polygon Areas in Saskylakh, NW Yakutia, Using Interferometric Synthetic Aperture Radar (InSAR) and Google Earth Engine (GEE) |
topic_facet |
climate change ice-wedge polygon (IWP) ground surface deformation (GSD) interferometric synthetic aperture radar (InSAR) Google Earth Engine (GEE) Russian Arctic Science Q |
description |
As one of the best indicators of the periglacial environment, ice-wedge polygons (IWPs) are important for arctic landscapes, hydrology, engineering, and ecosystems. Thus, a better understanding of the spatiotemporal dynamics and evolution of IWPs is key to evaluating the hydrothermal state and carbon budgets of the arctic permafrost environment. In this paper, the dynamics of ground surface deformation (GSD) in IWP zones (2018–2019) and their influencing factors over the last 20 years in Saskylakh, northwestern Yakutia, Russia were investigated using the Interferometric Synthetic Aperture Radar (InSAR) and Google Earth Engine (GEE). The results show an annual ground surface deformation rate (AGSDR) in Saskylakh at −49.73 to 45.97 mm/a during the period from 1 June 2018 to 3 May 2019. All the selected GSD regions indicate that the relationship between GSD and land surface temperature (LST) is positive (upheaving) for regions with larger AGSDR, and negative (subsidence) for regions with lower AGSDR. The most drastic deformation was observed at the Aeroport regions with GSDs rates of −37.06 mm/a at tower and 35.45 mm/a at runway. The GSDs are negatively correlated with the LST of most low-centered polygons (LCPs) and high-centered polygons (HCPs). Specifically, the higher the vegetation cover, the higher the LST and the thicker the active layer. An evident permafrost degradation has been observed in Saskylakh as reflected in higher ground temperatures, lusher vegetation, greater active layer thickness, and fluctuant numbers and areal extents of thermokarst lakes and ponds. |
format |
Article in Journal/Newspaper |
author |
Wenhui Wang Huijun Jin Ze Zhang Mikhail N. Zhelezniak Valentin V. Spektor Raul-David Șerban Anyuan Li Vladimir Tumskoy Xiaoying Jin Suiqiao Yang Shengrong Zhang Xiaoying Li Mihaela Șerban Qingbai Wu Yanan Wen |
author_facet |
Wenhui Wang Huijun Jin Ze Zhang Mikhail N. Zhelezniak Valentin V. Spektor Raul-David Șerban Anyuan Li Vladimir Tumskoy Xiaoying Jin Suiqiao Yang Shengrong Zhang Xiaoying Li Mihaela Șerban Qingbai Wu Yanan Wen |
author_sort |
Wenhui Wang |
title |
Monitoring Ground Surface Deformation of Ice-Wedge Polygon Areas in Saskylakh, NW Yakutia, Using Interferometric Synthetic Aperture Radar (InSAR) and Google Earth Engine (GEE) |
title_short |
Monitoring Ground Surface Deformation of Ice-Wedge Polygon Areas in Saskylakh, NW Yakutia, Using Interferometric Synthetic Aperture Radar (InSAR) and Google Earth Engine (GEE) |
title_full |
Monitoring Ground Surface Deformation of Ice-Wedge Polygon Areas in Saskylakh, NW Yakutia, Using Interferometric Synthetic Aperture Radar (InSAR) and Google Earth Engine (GEE) |
title_fullStr |
Monitoring Ground Surface Deformation of Ice-Wedge Polygon Areas in Saskylakh, NW Yakutia, Using Interferometric Synthetic Aperture Radar (InSAR) and Google Earth Engine (GEE) |
title_full_unstemmed |
Monitoring Ground Surface Deformation of Ice-Wedge Polygon Areas in Saskylakh, NW Yakutia, Using Interferometric Synthetic Aperture Radar (InSAR) and Google Earth Engine (GEE) |
title_sort |
monitoring ground surface deformation of ice-wedge polygon areas in saskylakh, nw yakutia, using interferometric synthetic aperture radar (insar) and google earth engine (gee) |
publisher |
MDPI AG |
publishDate |
2023 |
url |
https://doi.org/10.3390/rs15051335 https://doaj.org/article/badcf45a46da48d6bc5ac146a4faf301 |
long_lat |
ENVELOPE(114.092,114.092,71.963,71.963) |
geographic |
Arctic Saskylakh |
geographic_facet |
Arctic Saskylakh |
genre |
Active layer thickness Arctic Climate change Ice permafrost Thermokarst wedge* Yakutia |
genre_facet |
Active layer thickness Arctic Climate change Ice permafrost Thermokarst wedge* Yakutia |
op_source |
Remote Sensing, Vol 15, Iss 1335, p 1335 (2023) |
op_relation |
https://www.mdpi.com/2072-4292/15/5/1335 https://doaj.org/toc/2072-4292 doi:10.3390/rs15051335 2072-4292 https://doaj.org/article/badcf45a46da48d6bc5ac146a4faf301 |
op_doi |
https://doi.org/10.3390/rs15051335 |
container_title |
Remote Sensing |
container_volume |
15 |
container_issue |
5 |
container_start_page |
1335 |
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1766338610100961280 |