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Multibaseline Polarimetric SAR Tomography of a Boreal Forest at P- and L-Bands

机译:P波段和L波段的北方森林的多基线极化SAR层析成像

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Longer wavelength synthetic aperture radars (SARs) are precious in the remote sensing of forested areas, being sensitive to contributions from the whole vegetation layer and from the ground below. The electromagnetic properties of such contributions are retrieved from multipolarimetric acquisitions, whereas their vertical structure is retrieved from multibaseline acquisitions through tomographic imaging. Combining baseline and polarization diversity provides most information, allowing the decomposition of the SAR signal into ground- and volume-only contributions. A formal treatment of this problem is provided with the algebraic synthesis technique, which extends the concepts of PolInSAR. The decomposition, however, is shown to be ambiguous in that different solutions are equally consistent with the data. The main goal of this paper is to discuss this topic in light of the experimental results from a tomographic and polarimetric analysis of the boreal forest within the Krycklan River catchment, Northern Sweden, investigated at P- and L-bands during the ESA campaign BioSAR 2008. Different solutions to the decomposition problem will be discussed by examining the corresponding vertical structures accessible through tomographic techniques. Elements are shown supporting the idea that ground–volume interactions play a nonnegligible role at P-band, and a solution is proposed to isolate contributions from direct volume backscattering. The retrieval of forest top height is discussed as well, leading to the conclusion that such parameter is robust against erroneous choices in the identification of volume-only contributions, thus corroborating the PolInSAR approach for the analysis of single-baseline data.
机译:更长波长的合成孔径雷达(SAR)在森林地区的遥感中非常珍贵,它对整个植被层和地下的贡献都非常敏感。这些贡献的电磁特性是从多极化采集中获取的,而它们的垂直结构是通过层析成像从多基线采集中获取的。将基线和极化分集相结合可提供大多数信息,从而可以将SAR信号分解为仅占地面和体积的贡献。代数综合技术提供了对该问题的正式解决方案,该技术扩展了PolInSAR的概念。但是,由于不同的解决方案与数据同样一致,因此分解显示为模棱两可的。本文的主要目的是根据对瑞典北部克雷克兰河流域内北方森林的断层成像和极化分析的实验结果,在ESA BioSAR 2008的P波段和L波段进行调查,来讨论该主题。将通过检查层析成像技术可访问的相应垂直结构来讨论分解问题的不同解决方案。示出了支持地面-体积相互作用在P波段上起不可忽略的作用的想法的元素,并提出了一种解决方案,以将贡献与直接体积后向散射隔离开来。还讨论了森林最高高度的检索,得出的结论是,该参数在识别仅体积贡献方面对错误选择具有鲁棒性,因此证实了用于分析单基线数据的PolInSAR方法。

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