Ice Sheet Subsurface Density from Polarimetric and Interferometric SAR

Information about ice sheet subsurface properties is crucial for understanding and reducing related uncertainties in mass balance estimations. Key parameters like the firn density, stratigraphy, and the amount of refrozen melt water are conventionally derived from in situ measurements or airborne ra...

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Main Authors: Fischer, Georg, Parrella, Giuseppe, Papathanassiou, Konstantinos, Hajnsek, Irena
Format: Conference Object
Language:unknown
Published: 2022
Subjects:
Online Access:https://elib.dlr.de/186463/
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spelling ftdlr:oai:elib.dlr.de:186463 2024-05-19T07:42:10+00:00 Ice Sheet Subsurface Density from Polarimetric and Interferometric SAR Fischer, Georg Parrella, Giuseppe Papathanassiou, Konstantinos Hajnsek, Irena 2022-05 https://elib.dlr.de/186463/ unknown Fischer, Georg und Parrella, Giuseppe und Papathanassiou, Konstantinos und Hajnsek, Irena (2022) Ice Sheet Subsurface Density from Polarimetric and Interferometric SAR. ESA Living Planet Symposium, 2022-05-23 - 2022-05-27, Bonn, Germany. Radarkonzepte Konferenzbeitrag PeerReviewed 2022 ftdlr 2024-04-25T00:59:55Z Information about ice sheet subsurface properties is crucial for understanding and reducing related uncertainties in mass balance estimations. Key parameters like the firn density, stratigraphy, and the amount of refrozen melt water are conventionally derived from in situ measurements or airborne radar sounders. Both types of measurements provide a great amount of detail, but are very limited in their spatial and temporal coverage and resolution. Synthetic Aperture Radars (SAR) can overcome these limitations due to their capability to provide day-and-night, all-weather acquisitions with resolutions on the order of meters and swath widths of hundreds of kilometers. Long-wavelength SAR systems (e.g. at L- and P-band) are promising tools to investigate the subsurface properties of glaciers and ice sheets due to the signal penetration of up to several tens of meters into dry snow, firn, and ice. Understanding the relationship between geophysical subsurface properties and the backscattered signals measured by a SAR is ongoing research. Two different lines of research were addressed in recent years. The first is based on Polarimetric SAR (PolSAR), which provides not only information about the scattering mechanisms, but also has the uniqueness of being sensitive to anisotropic signal propagation in snow and firn. The second is related to the use of interferometric SAR (InSAR) to retrieve the 3D location of scatterers within the subsurface. Particularly multi-baseline InSAR allows for tomographic imaging (TomoSAR) of the 3D subsurface scattering structure. So far, the potential of the different SAR techniques was only assessed separately. In the field of PolSAR, modeling efforts have been dedicated to establish a link between co-polarization (HH-VV) phase differences (CPDs) and the structural properties of firn [1]. CPDs have then been interpreted as the result of birefringence due to the dielectric anisotropy of firn originating from temperature gradient metamorphism. Moreover, the relation between the anisotropic ... Conference Object Ice Sheet German Aerospace Center: elib - DLR electronic library
institution Open Polar
collection German Aerospace Center: elib - DLR electronic library
op_collection_id ftdlr
language unknown
topic Radarkonzepte
spellingShingle Radarkonzepte
Fischer, Georg
Parrella, Giuseppe
Papathanassiou, Konstantinos
Hajnsek, Irena
Ice Sheet Subsurface Density from Polarimetric and Interferometric SAR
topic_facet Radarkonzepte
description Information about ice sheet subsurface properties is crucial for understanding and reducing related uncertainties in mass balance estimations. Key parameters like the firn density, stratigraphy, and the amount of refrozen melt water are conventionally derived from in situ measurements or airborne radar sounders. Both types of measurements provide a great amount of detail, but are very limited in their spatial and temporal coverage and resolution. Synthetic Aperture Radars (SAR) can overcome these limitations due to their capability to provide day-and-night, all-weather acquisitions with resolutions on the order of meters and swath widths of hundreds of kilometers. Long-wavelength SAR systems (e.g. at L- and P-band) are promising tools to investigate the subsurface properties of glaciers and ice sheets due to the signal penetration of up to several tens of meters into dry snow, firn, and ice. Understanding the relationship between geophysical subsurface properties and the backscattered signals measured by a SAR is ongoing research. Two different lines of research were addressed in recent years. The first is based on Polarimetric SAR (PolSAR), which provides not only information about the scattering mechanisms, but also has the uniqueness of being sensitive to anisotropic signal propagation in snow and firn. The second is related to the use of interferometric SAR (InSAR) to retrieve the 3D location of scatterers within the subsurface. Particularly multi-baseline InSAR allows for tomographic imaging (TomoSAR) of the 3D subsurface scattering structure. So far, the potential of the different SAR techniques was only assessed separately. In the field of PolSAR, modeling efforts have been dedicated to establish a link between co-polarization (HH-VV) phase differences (CPDs) and the structural properties of firn [1]. CPDs have then been interpreted as the result of birefringence due to the dielectric anisotropy of firn originating from temperature gradient metamorphism. Moreover, the relation between the anisotropic ...
format Conference Object
author Fischer, Georg
Parrella, Giuseppe
Papathanassiou, Konstantinos
Hajnsek, Irena
author_facet Fischer, Georg
Parrella, Giuseppe
Papathanassiou, Konstantinos
Hajnsek, Irena
author_sort Fischer, Georg
title Ice Sheet Subsurface Density from Polarimetric and Interferometric SAR
title_short Ice Sheet Subsurface Density from Polarimetric and Interferometric SAR
title_full Ice Sheet Subsurface Density from Polarimetric and Interferometric SAR
title_fullStr Ice Sheet Subsurface Density from Polarimetric and Interferometric SAR
title_full_unstemmed Ice Sheet Subsurface Density from Polarimetric and Interferometric SAR
title_sort ice sheet subsurface density from polarimetric and interferometric sar
publishDate 2022
url https://elib.dlr.de/186463/
genre Ice Sheet
genre_facet Ice Sheet
op_relation Fischer, Georg und Parrella, Giuseppe und Papathanassiou, Konstantinos und Hajnsek, Irena (2022) Ice Sheet Subsurface Density from Polarimetric and Interferometric SAR. ESA Living Planet Symposium, 2022-05-23 - 2022-05-27, Bonn, Germany.
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