Permafrost Dynamics Observatory—Part I: Postprocessing and Calibration Methods of UAVSAR L‐Band InSAR Data for Seasonal Subsidence Estimation
Abstract 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 air...
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ftdoajarticles:oai:doaj.org/article:c8387d153b1c415e8e73f24b8f86a4cd 2023-05-15T13:02:56+02:00 Permafrost Dynamics Observatory—Part I: Postprocessing and Calibration Methods of UAVSAR L‐Band InSAR Data for Seasonal Subsidence Estimation Roger J. Michaelides Richard H. Chen Yuhuan Zhao Kevin Schaefer Andrew D. Parsekian Taylor Sullivan Mahta Moghaddam Howard A. Zebker Lin Liu Xingyu Xu Jingyi Chen 2021-07-01T00:00:00Z https://doi.org/10.1029/2020EA001630 https://doaj.org/article/c8387d153b1c415e8e73f24b8f86a4cd EN eng American Geophysical Union (AGU) https://doi.org/10.1029/2020EA001630 https://doaj.org/toc/2333-5084 2333-5084 doi:10.1029/2020EA001630 https://doaj.org/article/c8387d153b1c415e8e73f24b8f86a4cd Earth and Space Science, Vol 8, Iss 7, Pp n/a-n/a (2021) InSAR UAVSAR synthetic aperture radar permafrost active layer thickness Arctic and boreal Astronomy QB1-991 Geology QE1-996.5 article 2021 ftdoajarticles https://doi.org/10.1029/2020EA001630 2022-12-31T06:38:32Z Abstract 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. Article in Journal/Newspaper Active layer thickness Arctic permafrost Alaska Directory of Open Access Journals: DOAJ Articles Arctic Canada Earth and Space Science 8 7 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
InSAR UAVSAR synthetic aperture radar permafrost active layer thickness Arctic and boreal Astronomy QB1-991 Geology QE1-996.5 |
spellingShingle |
InSAR UAVSAR synthetic aperture radar permafrost active layer thickness Arctic and boreal Astronomy QB1-991 Geology QE1-996.5 Roger J. Michaelides Richard H. Chen Yuhuan Zhao Kevin Schaefer Andrew D. Parsekian Taylor Sullivan Mahta Moghaddam Howard A. Zebker Lin Liu Xingyu Xu Jingyi Chen Permafrost Dynamics Observatory—Part I: Postprocessing and Calibration Methods of UAVSAR L‐Band InSAR Data for Seasonal Subsidence Estimation |
topic_facet |
InSAR UAVSAR synthetic aperture radar permafrost active layer thickness Arctic and boreal Astronomy QB1-991 Geology QE1-996.5 |
description |
Abstract 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 |
Article in Journal/Newspaper |
author |
Roger J. Michaelides Richard H. Chen Yuhuan Zhao Kevin Schaefer Andrew D. Parsekian Taylor Sullivan Mahta Moghaddam Howard A. Zebker Lin Liu Xingyu Xu Jingyi Chen |
author_facet |
Roger J. Michaelides Richard H. Chen Yuhuan Zhao Kevin Schaefer Andrew D. Parsekian Taylor Sullivan Mahta Moghaddam Howard A. Zebker Lin Liu Xingyu Xu Jingyi Chen |
author_sort |
Roger J. Michaelides |
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 |
American Geophysical Union (AGU) |
publishDate |
2021 |
url |
https://doi.org/10.1029/2020EA001630 https://doaj.org/article/c8387d153b1c415e8e73f24b8f86a4cd |
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 and Space Science, Vol 8, Iss 7, Pp n/a-n/a (2021) |
op_relation |
https://doi.org/10.1029/2020EA001630 https://doaj.org/toc/2333-5084 2333-5084 doi:10.1029/2020EA001630 https://doaj.org/article/c8387d153b1c415e8e73f24b8f86a4cd |
op_doi |
https://doi.org/10.1029/2020EA001630 |
container_title |
Earth and Space Science |
container_volume |
8 |
container_issue |
7 |
_version_ |
1766324548661149696 |