Investigating The Potential To Estimate InSAR Penetration Depth Over Ice Sheets From Pol-InSAR Data

• Published in: IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
• Main Authors: Fischer, Georg, Parrella, Giuseppe, Papathanassiou, Konstantinos, Hajnsek, Irena
• Format: Conference Object
• Language: English
• Published: 2019
• Subjects: Radarkonzepte; Ice Sheet
• Online Access: 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

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.