Investigating The Potential To Estimate InSAR Penetration Depth Over Ice Sheets From Pol-InSAR Data
Digital elevation models generated with SAR interferometry (InSAR) are an important information source for glacier and ice sheet mass balance. However, the measured elevations suffer from a penetration bias due to the interferometric phase center being up to several tens of meters below the surface....
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ftdlr:oai:elib.dlr.de:126684 2024-05-19T07:42:08+00:00 Investigating The Potential To Estimate InSAR Penetration Depth Over Ice Sheets From Pol-InSAR Data Fischer, Georg Parrella, Giuseppe Papathanassiou, Konstantinos Hajnsek, Irena 2019 application/pdf https://elib.dlr.de/126684/ https://elib.dlr.de/126684/1/__Client_A%24_home_fisc_ge_Windows_PhD_Conferences%20and%20Presentations_IGARSS2019_Fischer_IGARSS_2019_abstract_after_KP_IH.pdf en eng https://elib.dlr.de/126684/1/__Client_A%24_home_fisc_ge_Windows_PhD_Conferences%20and%20Presentations_IGARSS2019_Fischer_IGARSS_2019_abstract_after_KP_IH.pdf Fischer, Georg und Parrella, Giuseppe und Papathanassiou, Konstantinos und Hajnsek, Irena (2019) Investigating The Potential To Estimate InSAR Penetration Depth Over Ice Sheets From Pol-InSAR Data. In: International Geoscience and Remote Sensing Symposium (IGARSS). IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2019-07-28 - 2019-08-02, Yokohama, Japan. doi:10.1109/igarss.2019.8900372 <https://doi.org/10.1109/igarss.2019.8900372>. Radarkonzepte Konferenzbeitrag PeerReviewed 2019 ftdlr https://doi.org/10.1109/igarss.2019.8900372 2024-04-25T00:50:07Z Digital elevation models generated with SAR interferometry (InSAR) are an important information source for glacier and ice sheet mass balance. However, the measured elevations suffer from a penetration bias due to the interferometric phase center being up to several tens of meters below the surface. The penetration of the microwave signals depends on SAR parameters (e.g. frequency) and snow and ice conditions. There is potential to estimate this penetration bias directly from the data by means of polarimetric InSAR models. Existing models fail to describe the data across different test sites and ice conditions and phase centers were found to be deeper than predicted by these models. SAR tomography is employed to assess the vertical distribution of backscattering in the data from an airborne campaign. The data are compared to refined models in order to find better representations of the vertical backscattering distribution, while the model complexity is purposely kept simple to make a phase center estimation possible. Additionally, recent work showed the importance of strong subsurface layers which influence phase center depth. Combining the refined subsurface structure models and dominant subsurface layers allows simulating a variety of ice sheet subsurface scenarios and can be used to assess the potential to estimate the InSAR phase center depth directly from the data. Conference Object Ice Sheet German Aerospace Center: elib - DLR electronic library IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium 4190 4193 |
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German Aerospace Center: elib - DLR electronic library |
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Radarkonzepte Fischer, Georg Parrella, Giuseppe Papathanassiou, Konstantinos Hajnsek, Irena Investigating The Potential To Estimate InSAR Penetration Depth Over Ice Sheets From Pol-InSAR Data |
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Radarkonzepte |
description |
Digital elevation models generated with SAR interferometry (InSAR) are an important information source for glacier and ice sheet mass balance. However, the measured elevations suffer from a penetration bias due to the interferometric phase center being up to several tens of meters below the surface. The penetration of the microwave signals depends on SAR parameters (e.g. frequency) and snow and ice conditions. There is potential to estimate this penetration bias directly from the data by means of polarimetric InSAR models. Existing models fail to describe the data across different test sites and ice conditions and phase centers were found to be deeper than predicted by these models. SAR tomography is employed to assess the vertical distribution of backscattering in the data from an airborne campaign. The data are compared to refined models in order to find better representations of the vertical backscattering distribution, while the model complexity is purposely kept simple to make a phase center estimation possible. Additionally, recent work showed the importance of strong subsurface layers which influence phase center depth. Combining the refined subsurface structure models and dominant subsurface layers allows simulating a variety of ice sheet subsurface scenarios and can be used to assess the potential to estimate the InSAR phase center depth directly from the data. |
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 |
Investigating The Potential To Estimate InSAR Penetration Depth Over Ice Sheets From Pol-InSAR Data |
title_short |
Investigating The Potential To Estimate InSAR Penetration Depth Over Ice Sheets From Pol-InSAR Data |
title_full |
Investigating The Potential To Estimate InSAR Penetration Depth Over Ice Sheets From Pol-InSAR Data |
title_fullStr |
Investigating The Potential To Estimate InSAR Penetration Depth Over Ice Sheets From Pol-InSAR Data |
title_full_unstemmed |
Investigating The Potential To Estimate InSAR Penetration Depth Over Ice Sheets From Pol-InSAR Data |
title_sort |
investigating the potential to estimate insar penetration depth over ice sheets from pol-insar data |
publishDate |
2019 |
url |
https://elib.dlr.de/126684/ https://elib.dlr.de/126684/1/__Client_A%24_home_fisc_ge_Windows_PhD_Conferences%20and%20Presentations_IGARSS2019_Fischer_IGARSS_2019_abstract_after_KP_IH.pdf |
genre |
Ice Sheet |
genre_facet |
Ice Sheet |
op_relation |
https://elib.dlr.de/126684/1/__Client_A%24_home_fisc_ge_Windows_PhD_Conferences%20and%20Presentations_IGARSS2019_Fischer_IGARSS_2019_abstract_after_KP_IH.pdf Fischer, Georg und Parrella, Giuseppe und Papathanassiou, Konstantinos und Hajnsek, Irena (2019) Investigating The Potential To Estimate InSAR Penetration Depth Over Ice Sheets From Pol-InSAR Data. In: International Geoscience and Remote Sensing Symposium (IGARSS). IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2019-07-28 - 2019-08-02, Yokohama, Japan. doi:10.1109/igarss.2019.8900372 <https://doi.org/10.1109/igarss.2019.8900372>. |
op_doi |
https://doi.org/10.1109/igarss.2019.8900372 |
container_title |
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium |
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4190 |
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4193 |
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