Recent Ground Displacement Over Permafrost in Midwestern Spitsbergen, Svalbard: InSAR Measurements and Modeling
Quantifying the characteristics of ground displacement is of great importance for understanding the geological, hydrological, and biochemical processes occurring due to widespread permafrost degradation. This study investigated the dynamics of annual and seasonal ground displacement over permafrost...
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ftdoajarticles:oai:doaj.org/article:1072b39fdab3484ea1ec4a523d65935c 2024-09-15T18:29:20+00:00 Recent Ground Displacement Over Permafrost in Midwestern Spitsbergen, Svalbard: InSAR Measurements and Modeling Yining Yu Yu Zhou Fengming Hui Xiao Cheng Kang Wang 2024-01-01T00:00:00Z https://doi.org/10.1109/JSTARS.2023.3332448 https://doaj.org/article/1072b39fdab3484ea1ec4a523d65935c EN eng IEEE https://ieeexplore.ieee.org/document/10316550/ https://doaj.org/toc/2151-1535 2151-1535 doi:10.1109/JSTARS.2023.3332448 https://doaj.org/article/1072b39fdab3484ea1ec4a523d65935c IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 573-583 (2024) Ground displacement InSAR midwestern Svalbard model permafrost Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809 article 2024 ftdoajarticles https://doi.org/10.1109/JSTARS.2023.3332448 2024-08-05T17:50:04Z Quantifying the characteristics of ground displacement is of great importance for understanding the geological, hydrological, and biochemical processes occurring due to widespread permafrost degradation. This study investigated the dynamics of annual and seasonal ground displacement over permafrost in midwestern Spitsbergen, Svalbard, using radar interferometry (InSAR) and a permafrost thermal model. Permafrost ground displacement exhibited an evident and widespread subsidence at a rate of ∼2.0 mm/yr during 2018–2021. A composite thermal index model was applied to simulate thawing-season ground displacement in four in situ boreholes based on the in situ observations and the ERA5 Land reanalysis temperature, respectively. The modeled seasonal ground subsidence demonstrated a similar pattern with InSAR measurement (correlation coefficient: 0.86–0.91), indicating the practicability of employing reanalysis temperature in large-scale ground subsidence modeling over data-sparse permafrost regions. The effects of environmental driving factors, including temperature and landcover, on ground displacement were also discussed. This study confirmed the availability of integrating InSAR measurement and thermal-modeled results toward a comprehensive understanding of ground displacement over permafrost regions. Article in Journal/Newspaper permafrost Svalbard Spitsbergen Directory of Open Access Journals: DOAJ Articles IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 17 573 583 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Ground displacement InSAR midwestern Svalbard model permafrost Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809 |
spellingShingle |
Ground displacement InSAR midwestern Svalbard model permafrost Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809 Yining Yu Yu Zhou Fengming Hui Xiao Cheng Kang Wang Recent Ground Displacement Over Permafrost in Midwestern Spitsbergen, Svalbard: InSAR Measurements and Modeling |
topic_facet |
Ground displacement InSAR midwestern Svalbard model permafrost Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809 |
description |
Quantifying the characteristics of ground displacement is of great importance for understanding the geological, hydrological, and biochemical processes occurring due to widespread permafrost degradation. This study investigated the dynamics of annual and seasonal ground displacement over permafrost in midwestern Spitsbergen, Svalbard, using radar interferometry (InSAR) and a permafrost thermal model. Permafrost ground displacement exhibited an evident and widespread subsidence at a rate of ∼2.0 mm/yr during 2018–2021. A composite thermal index model was applied to simulate thawing-season ground displacement in four in situ boreholes based on the in situ observations and the ERA5 Land reanalysis temperature, respectively. The modeled seasonal ground subsidence demonstrated a similar pattern with InSAR measurement (correlation coefficient: 0.86–0.91), indicating the practicability of employing reanalysis temperature in large-scale ground subsidence modeling over data-sparse permafrost regions. The effects of environmental driving factors, including temperature and landcover, on ground displacement were also discussed. This study confirmed the availability of integrating InSAR measurement and thermal-modeled results toward a comprehensive understanding of ground displacement over permafrost regions. |
format |
Article in Journal/Newspaper |
author |
Yining Yu Yu Zhou Fengming Hui Xiao Cheng Kang Wang |
author_facet |
Yining Yu Yu Zhou Fengming Hui Xiao Cheng Kang Wang |
author_sort |
Yining Yu |
title |
Recent Ground Displacement Over Permafrost in Midwestern Spitsbergen, Svalbard: InSAR Measurements and Modeling |
title_short |
Recent Ground Displacement Over Permafrost in Midwestern Spitsbergen, Svalbard: InSAR Measurements and Modeling |
title_full |
Recent Ground Displacement Over Permafrost in Midwestern Spitsbergen, Svalbard: InSAR Measurements and Modeling |
title_fullStr |
Recent Ground Displacement Over Permafrost in Midwestern Spitsbergen, Svalbard: InSAR Measurements and Modeling |
title_full_unstemmed |
Recent Ground Displacement Over Permafrost in Midwestern Spitsbergen, Svalbard: InSAR Measurements and Modeling |
title_sort |
recent ground displacement over permafrost in midwestern spitsbergen, svalbard: insar measurements and modeling |
publisher |
IEEE |
publishDate |
2024 |
url |
https://doi.org/10.1109/JSTARS.2023.3332448 https://doaj.org/article/1072b39fdab3484ea1ec4a523d65935c |
genre |
permafrost Svalbard Spitsbergen |
genre_facet |
permafrost Svalbard Spitsbergen |
op_source |
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 573-583 (2024) |
op_relation |
https://ieeexplore.ieee.org/document/10316550/ https://doaj.org/toc/2151-1535 2151-1535 doi:10.1109/JSTARS.2023.3332448 https://doaj.org/article/1072b39fdab3484ea1ec4a523d65935c |
op_doi |
https://doi.org/10.1109/JSTARS.2023.3332448 |
container_title |
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
container_volume |
17 |
container_start_page |
573 |
op_container_end_page |
583 |
_version_ |
1810470745339330560 |