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Method for reconstructing atmospheric optical parameters from the data of polarization lidar sensing

机译:从偏振激光雷达传感数据重建大气光学参数的方法

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摘要

Inversion of polarization lidar sensing data based on the form of the lidar sensing equation with allowance for contributions from multiple-scattering calls for a priori information on the scattering phase matrix. In the present study the parameters of the Stokes vectors for various propagation media, including those with the scattering phase matrices that vary along the measuring range, are investigated. It is demonstrated that, in spaceborne lidar sensing, a simple parameterization of the multiple-scattering contribution is applicable and the polarization signal's characteristics depend mainly on the lidar and depolarization ratios, whereas differences in the angular dependences of the matrix components are no longer determining factors. An algorithm for simultaneous reconstruction of the profiles of the backscattering coefficient and depolarization and lidar ratios in an inhomogeneous medium is suggested. Specific features of the methods are analyzed for the examples of interpretation of lidar signal profiles calculated by the Monte Carlo method and are measured experimentally.
机译:基于激光雷达感应方程的形式对偏振激光雷达感应数据进行反演,并考虑到多次散射的影响,因此需要有关散射相位矩阵的先验信息。在本研究中,研究了各种传播介质(包括散射相位矩阵随测量范围变化的传播介质)的斯托克斯矢量的参数。结果表明,在星载激光雷达传感中,可采用简单的多散射贡献参数化方法,并且偏振信号的特性主要取决于激光雷达和去极化率,而矩阵分量的角度依赖性的差异不再是决定因素。 。提出了一种在非均匀介质中同时重建后向散射系数,去极化和激光雷达比的轮廓的算法。分析了这些方法的特定功能,以解释通过蒙特卡洛方法计算出的激光雷达信号轮廓的示例,并通过实验进行了测量。

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