Permafrost Dynamics Observatory—Part I: Postprocessing and Calibration Methods of UAVSAR L‐Band InSAR Data for Seasonal Subsidence Estimation
Interferometric synthetic aperture radar (InSAR) has been used to quantify a range of surface and near surface physical properties in permafrost landscapes. Most previous InSAR studies have utilized spaceborne InSAR platforms, but InSAR datasets over permafrost landscapes collected from airborne pla...
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ftpubmed:oai:pubmedcentral.nih.gov:8365676 2023-05-15T13:03:06+02:00 Permafrost Dynamics Observatory—Part I: Postprocessing and Calibration Methods of UAVSAR L‐Band InSAR Data for Seasonal Subsidence Estimation Michaelides, Roger J. Chen, Richard H. Zhao, Yuhuan Schaefer, Kevin Parsekian, Andrew D. Sullivan, Taylor Moghaddam, Mahta Zebker, Howard A. Liu, Lin Xu, Xingyu Chen, Jingyi 2021-07-27 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8365676/ http://www.ncbi.nlm.nih.gov/pubmed/34435080 https://doi.org/10.1029/2020EA001630 en eng John Wiley and Sons Inc. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8365676/ http://www.ncbi.nlm.nih.gov/pubmed/34435080 http://dx.doi.org/10.1029/2020EA001630 © 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. CC-BY Earth Space Sci Research Article Text 2021 ftpubmed https://doi.org/10.1029/2020EA001630 2021-08-29T00:28:42Z Interferometric synthetic aperture radar (InSAR) has been used to quantify a range of surface and near surface physical properties in permafrost landscapes. Most previous InSAR studies have utilized spaceborne InSAR platforms, but InSAR datasets over permafrost landscapes collected from airborne platforms have been steadily growing in recent years. Most existing algorithms dedicated toward retrieval of permafrost physical properties were originally developed for spaceborne InSAR platforms. In this study, which is the first in a two part series, we introduce a series of calibration techniques developed to apply a novel joint retrieval algorithm for permafrost active layer thickness retrieval to an airborne InSAR dataset acquired in 2017 by NASA's Uninhabited Aerial Vehicle Synthetic Aperture Radar over Alaska and Western Canada. We demonstrate how InSAR measurement uncertainties are mitigated by these calibration methods and quantify remaining measurement uncertainties with a novel method of modeling interferometric phase uncertainty using a Gaussian mixture model. Finally, we discuss the impact of native SAR resolution on InSAR measurements, the limitation of using few interferograms per retrieval, and the implications of our findings for cross‐comparison of airborne and spaceborne InSAR datasets acquired over Arctic regions underlain by permafrost. Text Active layer thickness Arctic permafrost Alaska PubMed Central (PMC) Arctic Canada Earth and Space Science 8 7 |
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topic |
Research Article |
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Research Article Michaelides, Roger J. Chen, Richard H. Zhao, Yuhuan Schaefer, Kevin Parsekian, Andrew D. Sullivan, Taylor Moghaddam, Mahta Zebker, Howard A. Liu, Lin Xu, Xingyu Chen, Jingyi Permafrost Dynamics Observatory—Part I: Postprocessing and Calibration Methods of UAVSAR L‐Band InSAR Data for Seasonal Subsidence Estimation |
topic_facet |
Research Article |
description |
Interferometric synthetic aperture radar (InSAR) has been used to quantify a range of surface and near surface physical properties in permafrost landscapes. Most previous InSAR studies have utilized spaceborne InSAR platforms, but InSAR datasets over permafrost landscapes collected from airborne platforms have been steadily growing in recent years. Most existing algorithms dedicated toward retrieval of permafrost physical properties were originally developed for spaceborne InSAR platforms. In this study, which is the first in a two part series, we introduce a series of calibration techniques developed to apply a novel joint retrieval algorithm for permafrost active layer thickness retrieval to an airborne InSAR dataset acquired in 2017 by NASA's Uninhabited Aerial Vehicle Synthetic Aperture Radar over Alaska and Western Canada. We demonstrate how InSAR measurement uncertainties are mitigated by these calibration methods and quantify remaining measurement uncertainties with a novel method of modeling interferometric phase uncertainty using a Gaussian mixture model. Finally, we discuss the impact of native SAR resolution on InSAR measurements, the limitation of using few interferograms per retrieval, and the implications of our findings for cross‐comparison of airborne and spaceborne InSAR datasets acquired over Arctic regions underlain by permafrost. |
format |
Text |
author |
Michaelides, Roger J. Chen, Richard H. Zhao, Yuhuan Schaefer, Kevin Parsekian, Andrew D. Sullivan, Taylor Moghaddam, Mahta Zebker, Howard A. Liu, Lin Xu, Xingyu Chen, Jingyi |
author_facet |
Michaelides, Roger J. Chen, Richard H. Zhao, Yuhuan Schaefer, Kevin Parsekian, Andrew D. Sullivan, Taylor Moghaddam, Mahta Zebker, Howard A. Liu, Lin Xu, Xingyu Chen, Jingyi |
author_sort |
Michaelides, Roger J. |
title |
Permafrost Dynamics Observatory—Part I: Postprocessing and Calibration Methods of UAVSAR L‐Band InSAR Data for Seasonal Subsidence Estimation |
title_short |
Permafrost Dynamics Observatory—Part I: Postprocessing and Calibration Methods of UAVSAR L‐Band InSAR Data for Seasonal Subsidence Estimation |
title_full |
Permafrost Dynamics Observatory—Part I: Postprocessing and Calibration Methods of UAVSAR L‐Band InSAR Data for Seasonal Subsidence Estimation |
title_fullStr |
Permafrost Dynamics Observatory—Part I: Postprocessing and Calibration Methods of UAVSAR L‐Band InSAR Data for Seasonal Subsidence Estimation |
title_full_unstemmed |
Permafrost Dynamics Observatory—Part I: Postprocessing and Calibration Methods of UAVSAR L‐Band InSAR Data for Seasonal Subsidence Estimation |
title_sort |
permafrost dynamics observatory—part i: postprocessing and calibration methods of uavsar l‐band insar data for seasonal subsidence estimation |
publisher |
John Wiley and Sons Inc. |
publishDate |
2021 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8365676/ http://www.ncbi.nlm.nih.gov/pubmed/34435080 https://doi.org/10.1029/2020EA001630 |
geographic |
Arctic Canada |
geographic_facet |
Arctic Canada |
genre |
Active layer thickness Arctic permafrost Alaska |
genre_facet |
Active layer thickness Arctic permafrost Alaska |
op_source |
Earth Space Sci |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8365676/ http://www.ncbi.nlm.nih.gov/pubmed/34435080 http://dx.doi.org/10.1029/2020EA001630 |
op_rights |
© 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. |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1029/2020EA001630 |
container_title |
Earth and Space Science |
container_volume |
8 |
container_issue |
7 |
_version_ |
1766328291434692608 |