Polarimetric SAR Applications of Sea Ice: A Review

Shokr, Mohammed; Dabboor, Mohammed

doi:10.1109/jstars.2023.3295735

Cited by 2 publications

(2 citation statements)

References 79 publications

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“…Using only two copolarization channels limit the polarization diversity of the NRCS. Such diversity is crucial for deriving polarimetric parameters used to discriminate scenes with low backscatter contrast or strong volume scattering mechanisms (e.g., see [48] and [49]). However, this limitation is not an issue in this study, which focuses on a bare oil-covered ice scene predominately influenced by surface scattering mechanisms.…”

Section: Tgrs-2023-04121mentioning

confidence: 99%

Toward the Estimation of Oil Slick Thickness on Newly Formed Sea Ice Using C-Band Radar Backscatter

Asihene,

Komarov,

Stern

et al. 2024

IEEE Trans. Geosci. Remote Sensing

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Oil thickness in oil spills involving sea ice is a key parameter required for an effective oil spill response; however, quantifying it from radar backscatter data remains a difficult task. We investigated a possible solution for estimating oil slick thickness by using electromagnetic forward and inverse scattering models of oil-covered newly formed sea ice (NI). Our forward model employs a first-order approximation of a multilayered small perturbation method to predict two copolarization C-band radar backscatters of NI covered by an oil slick with thicknesses ranging from 0-7 mm. The results showed that the backscatter decreases as slick thickness increases, which we attributed to signal attenuation within the saline-oil layer. Our inverse model relies on the particle swarm optimization algorithm to determine the slick thickness on NI using synthetic backscatter data, and it requires the input of several important ice and oil physical parameters (thickness, dielectrics, and roughness). Moreover, the estimated slick thickness was validated using scatterometer data from an oilon-ice experiment at the University of Manitoba's Sea-ice Environmental Research Facility. With synthetic data, the 5 mm oil slick thickness was overestimated by 25%, while with experimental data, it was overestimated by 8%. Overall, our findings have laid the groundwork for future inversion studies to identify the thickest oil spill zone from current and future C-band radar satellites for immediate response.

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Section: Tgrs-2023-04121mentioning

confidence: 99%

Toward the Estimation of Oil Slick Thickness on Newly Formed Sea Ice Using C-Band Radar Backscatter

Asihene,

Komarov,

Stern

et al. 2024

IEEE Trans. Geosci. Remote Sensing

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“…Typical ML methods consist of a two-stage process. First, various polarimetric and texture features are derived from SAR images [20,21]. Specific polarimetric features include normalized radar cross section (NRCS), polarization ratio (PR), phase difference, correlation coefficient and parameters calculated based on eigenvalue decomposition, Pauli decomposition or Freeman-Durden decomposition methods [22][23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Sea Ice Detection from RADARSAT-2 Quad-Polarization SAR Imagery Based on Co- and Cross-Polarization Ratio

Zhao,

Xie,

Perrie

et al. 2024

Remote Sensing

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Arctic sea ice detection is very important in global climate research, Arctic ecosystem protection, ship navigation and human activities. In this paper, by combining the co-pol ratio (HH/VV) and two kinds of cross-pol ratio (HV/VV, HV/HH), a novel sea ice detection method is proposed based on RADARSAT-2 quad-polarization synthetic aperture radar (SAR) images. Experimental results suggest that the co-pol ratio shows promising capability in sea ice detection at a wide range of incidence angles (25–50°), while the two kinds of cross-pol ratio are more applicable to sea ice detection at small incidence angles (20–35°). When incidence angles exceed 35°, wind conditions have a great effect on the performance of the cross-pol ratio. Our method is validated by comparison with the visual interpretation results. The overall accuracy is 96%, far higher than that of single polarization ratio (PR) parameter-based methods. Our method is suitable for sea ice detection in complex sea ice and wind conditions.

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Polarimetric SAR Applications of Sea Ice: A Review

Cited by 2 publications

References 79 publications

Toward the Estimation of Oil Slick Thickness on Newly Formed Sea Ice Using C-Band Radar Backscatter

Toward the Estimation of Oil Slick Thickness on Newly Formed Sea Ice Using C-Band Radar Backscatter

Sea Ice Detection from RADARSAT-2 Quad-Polarization SAR Imagery Based on Co- and Cross-Polarization Ratio

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