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...

Full description

Bibliographic Details
Published in:Earth and Space Science
Main Authors: 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
Format: Article in Journal/Newspaper
Language:English
Published: American Geophysical Union (AGU) 2021
Subjects:
Online Access:https://doi.org/10.1029/2020EA001630
https://doaj.org/article/c8387d153b1c415e8e73f24b8f86a4cd
id ftdoajarticles:oai:doaj.org/article:c8387d153b1c415e8e73f24b8f86a4cd
record_format openpolar
spelling 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