Modeling and Compensation of the Penetration Bias in InSAR DEMs of Ice Sheets at Different Frequencies
Interferometric synthetic aperture radar (InSAR) is able to provide important information for the characterization of the surface topography of glaciers and ice sheets. However, due to the inherent penetration of microwaves into dry snow, firn, and ice, InSAR elevation models are affected by a penet...
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ftdoajarticles:oai:doaj.org/article:70f384628e304f539909f97fb6338667 2023-05-15T16:29:28+02:00 Modeling and Compensation of the Penetration Bias in InSAR DEMs of Ice Sheets at Different Frequencies Georg Fischer Konstantinos P. Papathanassiou Irena Hajnsek 2020-01-01T00:00:00Z https://doi.org/10.1109/JSTARS.2020.2992530 https://doaj.org/article/70f384628e304f539909f97fb6338667 EN eng IEEE https://ieeexplore.ieee.org/document/9103222/ https://doaj.org/toc/2151-1535 2151-1535 doi:10.1109/JSTARS.2020.2992530 https://doaj.org/article/70f384628e304f539909f97fb6338667 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 2698-2707 (2020) Digital elevation model (DEM) glaciers microwave penetration polarimetric interferometric synthetic aperture radar (Pol-InSAR) topography Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809 article 2020 ftdoajarticles https://doi.org/10.1109/JSTARS.2020.2992530 2022-12-31T10:00:16Z Interferometric synthetic aperture radar (InSAR) is able to provide important information for the characterization of the surface topography of glaciers and ice sheets. However, due to the inherent penetration of microwaves into dry snow, firn, and ice, InSAR elevation models are affected by a penetration bias. The fact that this bias depends on the snow and ice conditions as well as on the interferometric acquisition parameters complicates its assessment and makes it also relevant for measuring topographic changes. Recent studies indicated the potential for model-based compensation of this penetration bias. This article follows this approach and investigates the performance of two subsurface volume models for this task. Single-channel and polarimetric approaches are discussed for random and oriented volume scenarios. The model performance is assessed on two test sites in the percolation zone of the Greenland ice sheet using fully polarimetric airborne X-, C-, L-, and P-band InSAR data. The results indicate that simple models can partially compensate the penetration bias and provide more accurate topographic information than the interferometric phase center measurements alone. Article in Journal/Newspaper Greenland Ice Sheet Directory of Open Access Journals: DOAJ Articles Greenland IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 13 2698 2707 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Digital elevation model (DEM) glaciers microwave penetration polarimetric interferometric synthetic aperture radar (Pol-InSAR) topography Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809 |
spellingShingle |
Digital elevation model (DEM) glaciers microwave penetration polarimetric interferometric synthetic aperture radar (Pol-InSAR) topography Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809 Georg Fischer Konstantinos P. Papathanassiou Irena Hajnsek Modeling and Compensation of the Penetration Bias in InSAR DEMs of Ice Sheets at Different Frequencies |
topic_facet |
Digital elevation model (DEM) glaciers microwave penetration polarimetric interferometric synthetic aperture radar (Pol-InSAR) topography Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809 |
description |
Interferometric synthetic aperture radar (InSAR) is able to provide important information for the characterization of the surface topography of glaciers and ice sheets. However, due to the inherent penetration of microwaves into dry snow, firn, and ice, InSAR elevation models are affected by a penetration bias. The fact that this bias depends on the snow and ice conditions as well as on the interferometric acquisition parameters complicates its assessment and makes it also relevant for measuring topographic changes. Recent studies indicated the potential for model-based compensation of this penetration bias. This article follows this approach and investigates the performance of two subsurface volume models for this task. Single-channel and polarimetric approaches are discussed for random and oriented volume scenarios. The model performance is assessed on two test sites in the percolation zone of the Greenland ice sheet using fully polarimetric airborne X-, C-, L-, and P-band InSAR data. The results indicate that simple models can partially compensate the penetration bias and provide more accurate topographic information than the interferometric phase center measurements alone. |
format |
Article in Journal/Newspaper |
author |
Georg Fischer Konstantinos P. Papathanassiou Irena Hajnsek |
author_facet |
Georg Fischer Konstantinos P. Papathanassiou Irena Hajnsek |
author_sort |
Georg Fischer |
title |
Modeling and Compensation of the Penetration Bias in InSAR DEMs of Ice Sheets at Different Frequencies |
title_short |
Modeling and Compensation of the Penetration Bias in InSAR DEMs of Ice Sheets at Different Frequencies |
title_full |
Modeling and Compensation of the Penetration Bias in InSAR DEMs of Ice Sheets at Different Frequencies |
title_fullStr |
Modeling and Compensation of the Penetration Bias in InSAR DEMs of Ice Sheets at Different Frequencies |
title_full_unstemmed |
Modeling and Compensation of the Penetration Bias in InSAR DEMs of Ice Sheets at Different Frequencies |
title_sort |
modeling and compensation of the penetration bias in insar dems of ice sheets at different frequencies |
publisher |
IEEE |
publishDate |
2020 |
url |
https://doi.org/10.1109/JSTARS.2020.2992530 https://doaj.org/article/70f384628e304f539909f97fb6338667 |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Greenland Ice Sheet |
genre_facet |
Greenland Ice Sheet |
op_source |
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 2698-2707 (2020) |
op_relation |
https://ieeexplore.ieee.org/document/9103222/ https://doaj.org/toc/2151-1535 2151-1535 doi:10.1109/JSTARS.2020.2992530 https://doaj.org/article/70f384628e304f539909f97fb6338667 |
op_doi |
https://doi.org/10.1109/JSTARS.2020.2992530 |
container_title |
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
container_volume |
13 |
container_start_page |
2698 |
op_container_end_page |
2707 |
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1766019170264154112 |