Model-Based Interpretation of PolSAR Data for the Characterization of Glacier Zones in Greenland

Different approaches have been proposed in recent years to map glacier zones using Synthetic Aperture Radar (SAR). Most of them rely on empirical or statistical approaches for the interpretation of backscatter intensity measurements and their seasonal variations related to the melting regime of the...

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Autores principales: Giuseppe Parrella, Irena Hajnsek, Konstantinos P. Papathanassiou
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Lenguaje:EN
Publicado: IEEE 2021
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spelling oai:doaj.org-article:f1b1892f86334a29a9f02165c4de81d82021-11-25T00:00:07ZModel-Based Interpretation of PolSAR Data for the Characterization of Glacier Zones in Greenland2151-153510.1109/JSTARS.2021.3126069https://doaj.org/article/f1b1892f86334a29a9f02165c4de81d82021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9609650/https://doaj.org/toc/2151-1535Different approaches have been proposed in recent years to map glacier zones using Synthetic Aperture Radar (SAR). Most of them rely on empirical or statistical approaches for the interpretation of backscatter intensity measurements and their seasonal variations related to the melting regime of the different glacier zones. This article focuses on the potential of polarimetric SAR measurements to characterize the scattering in the different glacier zones in order to distinguish between them. For this, a general two-component scattering model is proposed, accounting for surface and subsurface contributions in the different glacier zones. The (anisotropic) propagation through snow, firn, and ice layers is also accounted for as it plays an important role in the interpretation of the polarimetric signatures. A set of five polarimetric descriptors is proposed to describe the projection of the model on the SAR measurements. The ability of the model to characterize the scattering in the different glacier zones is validated and discussed at different frequencies (X-, C-, and L-band). For this, a multifrequency airborne SAR dataset acquired by the DLR's F-SAR sensor in West Greenland during the ARCTIC 2015 campaign is used. The achieved results indicate that L-band polarimetric measurements allow to differentiate the different glacier zones based on the subsurface (e.g., volume) scattering characteristics. In contrast, the increased (back-) scattering complexity and the reduced penetration capability limit the potential of X- and C-band polarimetric measurements.Giuseppe ParrellaIrena HajnsekKonstantinos P. PapathanassiouIEEEarticleFirn lineglacier zonesGreenlandpolarimetric synthetic aperture radar (SAR)polarization phase differenceOcean engineeringTC1501-1800Geophysics. Cosmic physicsQC801-809ENIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 11593-11607 (2021)
institution DOAJ
collection DOAJ
language EN
topic Firn line
glacier zones
Greenland
polarimetric synthetic aperture radar (SAR)
polarization phase difference
Ocean engineering
TC1501-1800
Geophysics. Cosmic physics
QC801-809
spellingShingle Firn line
glacier zones
Greenland
polarimetric synthetic aperture radar (SAR)
polarization phase difference
Ocean engineering
TC1501-1800
Geophysics. Cosmic physics
QC801-809
Giuseppe Parrella
Irena Hajnsek
Konstantinos P. Papathanassiou
Model-Based Interpretation of PolSAR Data for the Characterization of Glacier Zones in Greenland
description Different approaches have been proposed in recent years to map glacier zones using Synthetic Aperture Radar (SAR). Most of them rely on empirical or statistical approaches for the interpretation of backscatter intensity measurements and their seasonal variations related to the melting regime of the different glacier zones. This article focuses on the potential of polarimetric SAR measurements to characterize the scattering in the different glacier zones in order to distinguish between them. For this, a general two-component scattering model is proposed, accounting for surface and subsurface contributions in the different glacier zones. The (anisotropic) propagation through snow, firn, and ice layers is also accounted for as it plays an important role in the interpretation of the polarimetric signatures. A set of five polarimetric descriptors is proposed to describe the projection of the model on the SAR measurements. The ability of the model to characterize the scattering in the different glacier zones is validated and discussed at different frequencies (X-, C-, and L-band). For this, a multifrequency airborne SAR dataset acquired by the DLR's F-SAR sensor in West Greenland during the ARCTIC 2015 campaign is used. The achieved results indicate that L-band polarimetric measurements allow to differentiate the different glacier zones based on the subsurface (e.g., volume) scattering characteristics. In contrast, the increased (back-) scattering complexity and the reduced penetration capability limit the potential of X- and C-band polarimetric measurements.
format article
author Giuseppe Parrella
Irena Hajnsek
Konstantinos P. Papathanassiou
author_facet Giuseppe Parrella
Irena Hajnsek
Konstantinos P. Papathanassiou
author_sort Giuseppe Parrella
title Model-Based Interpretation of PolSAR Data for the Characterization of Glacier Zones in Greenland
title_short Model-Based Interpretation of PolSAR Data for the Characterization of Glacier Zones in Greenland
title_full Model-Based Interpretation of PolSAR Data for the Characterization of Glacier Zones in Greenland
title_fullStr Model-Based Interpretation of PolSAR Data for the Characterization of Glacier Zones in Greenland
title_full_unstemmed Model-Based Interpretation of PolSAR Data for the Characterization of Glacier Zones in Greenland
title_sort model-based interpretation of polsar data for the characterization of glacier zones in greenland
publisher IEEE
publishDate 2021
url https://doaj.org/article/f1b1892f86334a29a9f02165c4de81d8
work_keys_str_mv AT giuseppeparrella modelbasedinterpretationofpolsardataforthecharacterizationofglacierzonesingreenland
AT irenahajnsek modelbasedinterpretationofpolsardataforthecharacterizationofglacierzonesingreenland
AT konstantinosppapathanassiou modelbasedinterpretationofpolsardataforthecharacterizationofglacierzonesingreenland
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