Antarctic snow-covered sea ice topography derivation from TanDEM-X using polarimetric SAR interferometry
<p>Single-pass interferometric synthetic aperture radar (InSAR) enables the possibility for sea ice topographic retrieval despite the inherent dynamics of sea ice. InSAR digital elevation models (DEMs) are measuring the radar scattering center height. The height bias induced by the penetratio...
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oai:doaj.org-article:6901d0612d964426b0b61dc74dc3b5382021-12-02T12:49:14ZAntarctic snow-covered sea ice topography derivation from TanDEM-X using polarimetric SAR interferometry10.5194/tc-15-5323-20211994-04161994-0424https://doaj.org/article/6901d0612d964426b0b61dc74dc3b5382021-12-01T00:00:00Zhttps://tc.copernicus.org/articles/15/5323/2021/tc-15-5323-2021.pdfhttps://doaj.org/toc/1994-0416https://doaj.org/toc/1994-0424<p>Single-pass interferometric synthetic aperture radar (InSAR) enables the possibility for sea ice topographic retrieval despite the inherent dynamics of sea ice. InSAR digital elevation models (DEMs) are measuring the radar scattering center height. The height bias induced by the penetration of electromagnetic waves into snow and ice leads to inaccuracies of the InSAR DEM, especially for thick and deformed sea ice with snow cover. In this study, an elevation difference between the satellite-measured InSAR DEM and the airborne-measured optical DEM is observed from a coordinated campaign over the western Weddell Sea in Antarctica. The objective is to correct the penetration bias and generate a precise sea ice topographic map from the single-pass InSAR data. With the potential of retrieving sea ice geophysical information by the polarimetric-interferometry (Pol-InSAR) technique, a two-layer-plus-volume model is proposed to represent the sea ice vertical structure and its scattering mechanisms. Furthermore, a simplified version of the model is derived, to allow its inversion with limited a priori knowledge, which is then applied to a topographic retrieval scheme. The experiments are performed across four polarizations: HH, VV, Pauli 1 (HH <span class="inline-formula">+</span> VV), and Pauli 2 (HH <span class="inline-formula">−</span> VV). The model-retrieved performance is validated with the optically derived DEM of the sea ice topography, showing an excellent performance with root-mean-square error as low as 0.26 m in Pauli-1 (HH <span class="inline-formula">+</span> VV) polarization.</p>L. HuangG. FischerI. HajnsekI. HajnsekCopernicus PublicationsarticleEnvironmental sciencesGE1-350GeologyQE1-996.5ENThe Cryosphere, Vol 15, Pp 5323-5344 (2021) |
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Environmental sciences GE1-350 Geology QE1-996.5 L. Huang G. Fischer I. Hajnsek I. Hajnsek Antarctic snow-covered sea ice topography derivation from TanDEM-X using polarimetric SAR interferometry |
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<p>Single-pass interferometric synthetic aperture radar (InSAR) enables the possibility for sea ice topographic retrieval despite the inherent dynamics of sea ice. InSAR digital elevation models (DEMs) are measuring the radar scattering center height. The height bias induced by the penetration of electromagnetic waves into snow and ice leads to inaccuracies of the InSAR DEM, especially for thick and deformed sea ice with snow cover. In this study, an elevation difference between the satellite-measured InSAR DEM and the airborne-measured optical DEM is observed from a coordinated campaign over the western Weddell Sea in Antarctica. The objective is to correct the penetration bias and generate a precise sea ice topographic map from the single-pass InSAR data. With the potential of retrieving sea ice geophysical information by the polarimetric-interferometry (Pol-InSAR) technique, a two-layer-plus-volume model is proposed to represent the sea ice vertical structure and its scattering mechanisms. Furthermore, a simplified version of the model is derived, to allow its inversion with limited a priori knowledge, which is then applied to a topographic retrieval scheme. The experiments are performed across four polarizations: HH, VV, Pauli 1 (HH <span class="inline-formula">+</span> VV), and Pauli 2 (HH <span class="inline-formula">−</span> VV). The model-retrieved performance is validated with the optically derived DEM of the sea ice topography, showing an excellent performance with root-mean-square error as low as 0.26 m in Pauli-1 (HH <span class="inline-formula">+</span> VV) polarization.</p> |
format |
article |
author |
L. Huang G. Fischer I. Hajnsek I. Hajnsek |
author_facet |
L. Huang G. Fischer I. Hajnsek I. Hajnsek |
author_sort |
L. Huang |
title |
Antarctic snow-covered sea ice topography derivation from TanDEM-X using polarimetric SAR interferometry |
title_short |
Antarctic snow-covered sea ice topography derivation from TanDEM-X using polarimetric SAR interferometry |
title_full |
Antarctic snow-covered sea ice topography derivation from TanDEM-X using polarimetric SAR interferometry |
title_fullStr |
Antarctic snow-covered sea ice topography derivation from TanDEM-X using polarimetric SAR interferometry |
title_full_unstemmed |
Antarctic snow-covered sea ice topography derivation from TanDEM-X using polarimetric SAR interferometry |
title_sort |
antarctic snow-covered sea ice topography derivation from tandem-x using polarimetric sar interferometry |
publisher |
Copernicus Publications |
publishDate |
2021 |
url |
https://doaj.org/article/6901d0612d964426b0b61dc74dc3b538 |
work_keys_str_mv |
AT lhuang antarcticsnowcoveredseaicetopographyderivationfromtandemxusingpolarimetricsarinterferometry AT gfischer antarcticsnowcoveredseaicetopographyderivationfromtandemxusingpolarimetricsarinterferometry AT ihajnsek antarcticsnowcoveredseaicetopographyderivationfromtandemxusingpolarimetricsarinterferometry AT ihajnsek antarcticsnowcoveredseaicetopographyderivationfromtandemxusingpolarimetricsarinterferometry |
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1718393628574875648 |