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Quantifying Surface‐Height Change Over a Periglacial Environment With ICESat‐2 Laser Altimetry
We use Ice, Cloud, and land Elevation Satellite 2 (ICESat‐2) laser altimetry crossovers and repeat tracks collected over the North Slope of Alaska to estimate ground surface‐height change due to the seasonal freezing and thawing of the active layer. We compare these measurements to a time series of...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8459227/ https://www.ncbi.nlm.nih.gov/pubmed/34595326 http://dx.doi.org/10.1029/2020EA001538 |
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author | Michaelides, R. J. Bryant, M. B. Siegfried, M. R. Borsa, A. A. |
author_facet | Michaelides, R. J. Bryant, M. B. Siegfried, M. R. Borsa, A. A. |
author_sort | Michaelides, R. J. |
collection | PubMed |
description | We use Ice, Cloud, and land Elevation Satellite 2 (ICESat‐2) laser altimetry crossovers and repeat tracks collected over the North Slope of Alaska to estimate ground surface‐height change due to the seasonal freezing and thawing of the active layer. We compare these measurements to a time series of surface deformation from Sentinel‐1 interferometric synthetic aperture radar (InSAR) and demonstrate agreement between these independent observations of surface deformation at broad spatial scales. We observe a relationship between ICESat‐2‐derived surface subsidence/uplift and changes in normalized accumulated degree days, which is consistent with the thermodynamically driven seasonal freezing and thawing of the active layer. Integrating ICESat‐2 crossover estimates of surface‐height change yields an annual time series of surface‐height change that is sensitive to changes in snow cover during spring and thawing of the active layer throughout spring and summer. Furthermore, this time series exhibits temporal correlation with independent reanalysis datasets of temperature and snow cover, as well as an InSAR‐derived time series. ICESat‐2‐derived surface‐height change estimates can be significantly affected by short length‐scale topographic gradients and changes in snow cover and snow depth. We discuss optimal strategies of post‐processing ICESat‐2 data for permafrost applications, as well as the future potential of joint ICESat‐2 and InSAR investigations of permafrost surface‐dynamics. |
format | Online Article Text |
id | pubmed-8459227 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84592272021-09-28 Quantifying Surface‐Height Change Over a Periglacial Environment With ICESat‐2 Laser Altimetry Michaelides, R. J. Bryant, M. B. Siegfried, M. R. Borsa, A. A. Earth Space Sci Research Article We use Ice, Cloud, and land Elevation Satellite 2 (ICESat‐2) laser altimetry crossovers and repeat tracks collected over the North Slope of Alaska to estimate ground surface‐height change due to the seasonal freezing and thawing of the active layer. We compare these measurements to a time series of surface deformation from Sentinel‐1 interferometric synthetic aperture radar (InSAR) and demonstrate agreement between these independent observations of surface deformation at broad spatial scales. We observe a relationship between ICESat‐2‐derived surface subsidence/uplift and changes in normalized accumulated degree days, which is consistent with the thermodynamically driven seasonal freezing and thawing of the active layer. Integrating ICESat‐2 crossover estimates of surface‐height change yields an annual time series of surface‐height change that is sensitive to changes in snow cover during spring and thawing of the active layer throughout spring and summer. Furthermore, this time series exhibits temporal correlation with independent reanalysis datasets of temperature and snow cover, as well as an InSAR‐derived time series. ICESat‐2‐derived surface‐height change estimates can be significantly affected by short length‐scale topographic gradients and changes in snow cover and snow depth. We discuss optimal strategies of post‐processing ICESat‐2 data for permafrost applications, as well as the future potential of joint ICESat‐2 and InSAR investigations of permafrost surface‐dynamics. John Wiley and Sons Inc. 2021-08-11 2021-08 /pmc/articles/PMC8459227/ /pubmed/34595326 http://dx.doi.org/10.1029/2020EA001538 Text en © 2021. The Authors. Earth and Space Science published by Wiley Periodicals LLC on behalf of American Geophysical Union. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Michaelides, R. J. Bryant, M. B. Siegfried, M. R. Borsa, A. A. Quantifying Surface‐Height Change Over a Periglacial Environment With ICESat‐2 Laser Altimetry |
title | Quantifying Surface‐Height Change Over a Periglacial Environment With ICESat‐2 Laser Altimetry |
title_full | Quantifying Surface‐Height Change Over a Periglacial Environment With ICESat‐2 Laser Altimetry |
title_fullStr | Quantifying Surface‐Height Change Over a Periglacial Environment With ICESat‐2 Laser Altimetry |
title_full_unstemmed | Quantifying Surface‐Height Change Over a Periglacial Environment With ICESat‐2 Laser Altimetry |
title_short | Quantifying Surface‐Height Change Over a Periglacial Environment With ICESat‐2 Laser Altimetry |
title_sort | quantifying surface‐height change over a periglacial environment with icesat‐2 laser altimetry |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8459227/ https://www.ncbi.nlm.nih.gov/pubmed/34595326 http://dx.doi.org/10.1029/2020EA001538 |
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