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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Published in:Earth and Space Science
Main Authors: 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
Format: Text
Language:English
Published: John Wiley and Sons Inc. 2021
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Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8365676/
http://www.ncbi.nlm.nih.gov/pubmed/34435080
https://doi.org/10.1029/2020EA001630
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spelling 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
institution Open Polar
collection PubMed Central (PMC)
op_collection_id ftpubmed
language English
topic Research Article
spellingShingle 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
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