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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Published in:Remote Sensing
Main Authors: 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
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2023
Subjects:
Q
Ice
Online Access:https://doi.org/10.3390/rs15051335
https://doaj.org/article/badcf45a46da48d6bc5ac146a4faf301
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spelling 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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