Polarimetric Behavior for the Derivation of Sea Ice Topographic Height From TanDEM-X Interferometric SAR Data

Huang, Lanqing; Hajnsek, Irena

doi:10.1109/jstars.2020.3036395

Cited by 14 publications

(21 citation statements)

References 73 publications

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“…2001). γ coPol is demonstrated to be a crucial signature in sea ice characterization (Kim et al, 2011;Wakabayashi et al, 2004;Huang and Hajnsek, 2021). γ coPol can be calculated as (Lee and Pottier, 2009) γ coPol = γ coPol • e Finally, as shown in the Step-3 in Fig.…”

Section: Model Inversionmentioning

confidence: 99%

“…A coordinated campaign between the NASA's Operation IceBridge (OIB) airborne mission and the DLR's TanDEM-X satellite mission was successfully conducted on Oct 29, 2017, named as OIB/TanDEM-X Coordinated Science Campaign (OTASC) (Nghiem et al, 2018). The OTASC data have been successfully used in investigating the topography of iceberg (Dammann et al, 2019) and sea ice (Huang and Hajnsek, 2021).…”

Section: Campaign and Study Areamentioning

confidence: 99%

“…The surface-volume interaction component (Albert et al, 2012) further complicates the overall scattering mechanisms. Huang and Hajnsek (2021) investigated the X-band SAR polarimetric behaviour for several types of ice over the western Weddell Sea, including new ice, thin ice, thick ice, and deformed ice with ridges. For the area covered by the thick and deformed ice, an empirically inverse relation between the elevation difference and the co-polarimetric coherence was observed, indicating that the SAR polarimetry carries significant topographic information (Huang and Hajnsek, 2021).…”

mentioning

confidence: 99%

“…Huang and Hajnsek (2021) investigated the X-band SAR polarimetric behaviour for several types of ice over the western Weddell Sea, including new ice, thin ice, thick ice, and deformed ice with ridges. For the area covered by the thick and deformed ice, an empirically inverse relation between the elevation difference and the co-polarimetric coherence was observed, indicating that the SAR polarimetry carries significant topographic information (Huang and Hajnsek, 2021). Based on the previous work, this study offers a further understanding of the elevation difference between the InSAR DEM and the optical DEM from investigating the polarimetric behaviours and exploiting the interferometric volume decorrelation.…”

mentioning

confidence: 99%

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Antarctic snow-covered sea ice topography derivation from TanDEM-X using polarimetric SAR interferometry

Huang¹,

Fischer²,

Hajnsek³

2021

Preprint

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Abstract. 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 (DEM) are measuring the radar scattering centre height. The height bias induced by the penetration of electromagnetic waves into snow and ice leads to inaccuracies of the InSAR DEM, especially for multi-year sea ice with snow 5 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 model-retrieved performance is validated with the optical DEM of the sea ice topography, showing an excellent performance with root-mean-square error as low as 0.22 m. The experiments are performed across four polarizations: HH, VV, Pauli-1 (HH+VV), and Pauli-2 (HH-VV), indicating the polarization-independent volume scattering property of the sea ice in the investigated co-polarized data.

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Section: Model Inversionmentioning

confidence: 99%

Section: Campaign and Study Areamentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Antarctic snow-covered sea ice topography derivation from TanDEM-X using polarimetric SAR interferometry

Huang¹,

Fischer²,

Hajnsek³

2021

Preprint

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“…These changes are particularly important for effective monitoring of sea ice extent, responding to sea ice disasters, and guiding the construction of ice roads in near-polar coastal areas (such as the Baltic Sea and Greenland). With the development of remote sensing technology, regularly obtaining large-scale information from space has become an effective method for sea ice identification and monitoring [7,8].…”

Section: Introductionmentioning

confidence: 99%

A Modified Approach of Extracting Landfast Ice Edge Based on Sentinel-1A InSAR Coherence Image in the Gulf of Bothnia

Wang

et al. 2021

JMSE

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Landfast ice is an integral component of the coastal ecosystem. Extracting the edge and mapping the extent of landfast ice are one of the main methods for studying ice changes. In this work, a standardized process for extracting landfast ice edge in the Baltic Sea using the InSAR coherence image is established with Sentinel-1 radar data and InSAR technology. A modified approach combining multiscale segmentation and morphological erosion is then proposed to provide a reliable way to extract landfast ice edge. Firstly, the coherence image is obtained using InSAR technology. Then, the edge is separated and extracted with the modified approach. The modified approach is essentially a four-step procedure involving image segmentation, median filter, morphological erosion, and rejection of small patches. Finally, the full extent of landfast ice can be obtained using floodfill algorithm. Multiple InSAR image pairs of Sentinel-1A acquired from 2018 to 2019 are utilized to successfully extract the landfast ice edge in the Gulf of Bothnia. The results show that the landfast ice edge and the extents obtained by the proposed approach are visually consistent with those shown in the ice chart issued by the Swedish Meteorological and Hydrological Institute (SMHI) over a coastline length of 345 km. The mean distance between land–water boundary and the coastline issued by the National Oceanic and Atmospheric Administration (NOAA) is 109.1 m. The modified approach obviously preserves more details in local edge than the reference method. The experimental results show that the modified approach proposed in this paper can extract the edge and map the extent of landfast ice more accurately and quickly, and is therefore expected to contribute to the further understanding and analyzing the changes of landfast ice in the future.

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Arctic Marine Ecosystems

Adeniran-Obey,

Kayode-Edwards,

Onwaeze

2024

Arctic Marine Ecotoxicology

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Polarimetric Behavior for the Derivation of Sea Ice Topographic Height From TanDEM-X Interferometric SAR Data

Cited by 14 publications

References 73 publications

Antarctic snow-covered sea ice topography derivation from TanDEM-X using polarimetric SAR interferometry

Antarctic snow-covered sea ice topography derivation from TanDEM-X using polarimetric SAR interferometry

A Modified Approach of Extracting Landfast Ice Edge Based on Sentinel-1A InSAR Coherence Image in the Gulf of Bothnia

Arctic Marine Ecosystems

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