Connectivity Approach for Detecting Unreliable DInSAR Ice Velocity Measurements
Differential Synthetic Aperture Radar Interferometry (DInSAR) allows for retrieval of ice velocity measurements of high resolution and accuracy. One of the main error sources in DInSAR is the phase unwrapping procedure. Unwrapping errors may be caused by several processes, including shear stresses a...
Published in: | IEEE Transactions on Geoscience and Remote Sensing |
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Online Access: | https://orbit.dtu.dk/en/publications/284d2094-f024-4db8-933b-dda4f1c633f3 https://doi.org/10.1109/TGRS.2022.3169722 https://backend.orbit.dtu.dk/ws/files/274788435/Connectivity_Approach_for_Detecting_Unreliable_DInSAR_Ice_Velocity_Measurements.pdf |
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ftdtupubl:oai:pure.atira.dk:publications/284d2094-f024-4db8-933b-dda4f1c633f3 2024-09-15T18:09:58+00:00 Connectivity Approach for Detecting Unreliable DInSAR Ice Velocity Measurements Andersen, Jonas Kvist Boncori, John Peter Merryman Kusk, Anders 2022 application/pdf https://orbit.dtu.dk/en/publications/284d2094-f024-4db8-933b-dda4f1c633f3 https://doi.org/10.1109/TGRS.2022.3169722 https://backend.orbit.dtu.dk/ws/files/274788435/Connectivity_Approach_for_Detecting_Unreliable_DInSAR_Ice_Velocity_Measurements.pdf eng eng https://orbit.dtu.dk/en/publications/284d2094-f024-4db8-933b-dda4f1c633f3 info:eu-repo/semantics/openAccess Andersen , J K , Boncori , J P M & Kusk , A 2022 , ' Connectivity Approach for Detecting Unreliable DInSAR Ice Velocity Measurements ' , IEEE Transactions on Geoscience and Remote Sensing , vol. 60 , 4304512 . https://doi.org/10.1109/TGRS.2022.3169722 Ice velocity Interferometry Phase unwrapping Synthetic aperture radar (SAR) Sentinel-1 article 2022 ftdtupubl https://doi.org/10.1109/TGRS.2022.3169722 2024-07-15T23:49:10Z Differential Synthetic Aperture Radar Interferometry (DInSAR) allows for retrieval of ice velocity measurements of high resolution and accuracy. One of the main error sources in DInSAR is the phase unwrapping procedure. Unwrapping errors may be caused by several processes, including shear stresses associated with large motion gradients, which lead to loss of interferometric coherence. In many cases, unwrapping errors reach magnitudes corresponding to velocities of tens or even hundreds of meters per year. Traditional DInSAR implementations include pixel masking based on coherence thresholding, however such a masking is not always sufficient. Consequently, the state-of-the-art for ice velocity retrievals involves either manual inspection of individual measurements or simply discarding measurements in regions where ice flow exceeds a pre-defined threshold. Here, we instead apply a masking based on thresholding of a pixel connectivity estimate with respect to a reference point, which aims to detect unwrapping errors based only on the estimated coherence pattern. The method is tested on both simulated and real Sentinel-1 data from the Greenland Ice Sheet and effectively detects the majority of unwrapping errors (recall of 0.84 for the best performing threshold), although with a relatively low precision (0.52 for the best performing threshold). Importantly, higher magnitude unwrapping errors are associated with lower connectivity values, meaning that undetected errors have a significantly lower magnitude (median of 1.7 m/y, corresponding to a single phase cycle, compared to 40.5 m/y with no masking). Article in Journal/Newspaper Greenland Ice Sheet Technical University of Denmark: DTU Orbit IEEE Transactions on Geoscience and Remote Sensing 60 1 12 |
institution |
Open Polar |
collection |
Technical University of Denmark: DTU Orbit |
op_collection_id |
ftdtupubl |
language |
English |
topic |
Ice velocity Interferometry Phase unwrapping Synthetic aperture radar (SAR) Sentinel-1 |
spellingShingle |
Ice velocity Interferometry Phase unwrapping Synthetic aperture radar (SAR) Sentinel-1 Andersen, Jonas Kvist Boncori, John Peter Merryman Kusk, Anders Connectivity Approach for Detecting Unreliable DInSAR Ice Velocity Measurements |
topic_facet |
Ice velocity Interferometry Phase unwrapping Synthetic aperture radar (SAR) Sentinel-1 |
description |
Differential Synthetic Aperture Radar Interferometry (DInSAR) allows for retrieval of ice velocity measurements of high resolution and accuracy. One of the main error sources in DInSAR is the phase unwrapping procedure. Unwrapping errors may be caused by several processes, including shear stresses associated with large motion gradients, which lead to loss of interferometric coherence. In many cases, unwrapping errors reach magnitudes corresponding to velocities of tens or even hundreds of meters per year. Traditional DInSAR implementations include pixel masking based on coherence thresholding, however such a masking is not always sufficient. Consequently, the state-of-the-art for ice velocity retrievals involves either manual inspection of individual measurements or simply discarding measurements in regions where ice flow exceeds a pre-defined threshold. Here, we instead apply a masking based on thresholding of a pixel connectivity estimate with respect to a reference point, which aims to detect unwrapping errors based only on the estimated coherence pattern. The method is tested on both simulated and real Sentinel-1 data from the Greenland Ice Sheet and effectively detects the majority of unwrapping errors (recall of 0.84 for the best performing threshold), although with a relatively low precision (0.52 for the best performing threshold). Importantly, higher magnitude unwrapping errors are associated with lower connectivity values, meaning that undetected errors have a significantly lower magnitude (median of 1.7 m/y, corresponding to a single phase cycle, compared to 40.5 m/y with no masking). |
format |
Article in Journal/Newspaper |
author |
Andersen, Jonas Kvist Boncori, John Peter Merryman Kusk, Anders |
author_facet |
Andersen, Jonas Kvist Boncori, John Peter Merryman Kusk, Anders |
author_sort |
Andersen, Jonas Kvist |
title |
Connectivity Approach for Detecting Unreliable DInSAR Ice Velocity Measurements |
title_short |
Connectivity Approach for Detecting Unreliable DInSAR Ice Velocity Measurements |
title_full |
Connectivity Approach for Detecting Unreliable DInSAR Ice Velocity Measurements |
title_fullStr |
Connectivity Approach for Detecting Unreliable DInSAR Ice Velocity Measurements |
title_full_unstemmed |
Connectivity Approach for Detecting Unreliable DInSAR Ice Velocity Measurements |
title_sort |
connectivity approach for detecting unreliable dinsar ice velocity measurements |
publishDate |
2022 |
url |
https://orbit.dtu.dk/en/publications/284d2094-f024-4db8-933b-dda4f1c633f3 https://doi.org/10.1109/TGRS.2022.3169722 https://backend.orbit.dtu.dk/ws/files/274788435/Connectivity_Approach_for_Detecting_Unreliable_DInSAR_Ice_Velocity_Measurements.pdf |
genre |
Greenland Ice Sheet |
genre_facet |
Greenland Ice Sheet |
op_source |
Andersen , J K , Boncori , J P M & Kusk , A 2022 , ' Connectivity Approach for Detecting Unreliable DInSAR Ice Velocity Measurements ' , IEEE Transactions on Geoscience and Remote Sensing , vol. 60 , 4304512 . https://doi.org/10.1109/TGRS.2022.3169722 |
op_relation |
https://orbit.dtu.dk/en/publications/284d2094-f024-4db8-933b-dda4f1c633f3 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1109/TGRS.2022.3169722 |
container_title |
IEEE Transactions on Geoscience and Remote Sensing |
container_volume |
60 |
container_start_page |
1 |
op_container_end_page |
12 |
_version_ |
1810447565962870784 |