Observations from C-Band SAR Fully Polarimetric Parameters of Mobile Sea Ice Based on Radar Scattering Mechanisms to Support Operational Sea Ice Monitoring

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
M. Shokr, M. Dabboor, Mélanie Lacelle, Tom Zagon, B. Deschamps
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引用次数: 4

Abstract

Abstract Fully polarimetric (FP) SAR systems offer parameters that describe and quantify the scattering mechanisms from the surface cover. These are usually derived from decomposition of matrices derived from the original scattering matrix from observations at each pixel. Power from scattering mechanisms have potential for retrieval of sea ice information, which cannot be derived using traditional backscatter (magnitude or phase) measured by single- or dual-polarization SAR systems. This study investigates the potential of selected FP parameters that represent the power of three scattering mechanisms, in addition to the total power, in identifying ice types and surface features for operational use. Parameters were obtained from a set of 62 RADARSAT-2 Quad-pol data over Resolute Passage, central Arctic, during the period September-December 2017. A scattering-based color-composite scheme was developed. Analysis of the examined color images was supported by information from regional ice charts and SAR image interpretations from the Canadian Ice Service. Case studies are presented to demonstrate the potential of the proposed color-composite tool. Open water, new ice, multi-year ice and a few surface features including rafted, ridged and smooth/rough surfaces can be identified better in the color images. Physical interpretation of the relative power from the given scattering mechanisms is explained for the relevant ice types and surfaces.
基于雷达散射机制的移动海冰c波段SAR全极化参数观测支持海冰监测
摘要全极化(FP)SAR系统提供了描述和量化地表覆盖物散射机制的参数。这些通常是从对矩阵的分解中导出的,矩阵是从每个像素的观测中的原始散射矩阵导出的。散射机制的功率具有检索海冰信息的潜力,而利用单极化或双极化SAR系统测量的传统反向散射(幅度或相位)无法获得海冰信息。本研究调查了所选FP参数在识别冰类型和表面特征以供操作使用方面的潜力,这些参数代表了三种散射机制的功率以及总功率。参数是从2017年9月至12月期间北极中部Resolute Passage上空的62组RADARSAT-2 Quad-pol数据中获得的。提出了一种基于散射的彩色合成方案。对检查的彩色图像的分析得到了区域冰图信息和加拿大冰局SAR图像解释的支持。通过案例研究来证明所提出的彩色合成工具的潜力。在彩色图像中,可以更好地识别开放水域、新冰、多年冰和一些表面特征,包括椽子、山脊和光滑/粗糙的表面。对于相关的冰类型和表面,解释了给定散射机制对相对功率的物理解释。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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