Scattering coefficient profile extraction based on Monte Carlo simulation of lateral scattering Lidar

Min Yao; Qin Zhou; Jiachuan Long; Zhilong Li

doi:10.1117/12.2572925

12 June 2020 Scattering coefficient profile extraction based on Monte Carlo simulation of lateral scattering Lidar

Min Yao, Qin Zhou, Jiachuan Long, Zhilong Li

Proceedings Volume 11519, Twelfth International Conference on Digital Image Processing (ICDIP 2020); 115190W (2020) https://doi.org/10.1117/12.2572925
Event: Twelfth International Conference on Digital Image Processing, 2020, Osaka, Japan

Abstract

The atmospheric scattering phase function represents the angular distribution characteristics of atmospheric scattering, which is a key index to understand the influence of atmospheric molecules and aerosols on climate. The lateral scattering lidar has become one of the effective methods to study the scattering coefficient and scattering phase function of the near ground atmosphere. Based on Monte Carlo simulation algorithm, this paper simulates the propagation process of the lateral scattering lidar photons in the atmospheric medium, and obtains the simulation image of the lateral scattering lidar. By analyzing the principle of the lateral scattering lidar, the profile of the lateral scattering coefficient is obtained by using the curve relation between the relative light intensity and the position according to the equation of the lateral scattering lidar.

Citation Download Citation

Min Yao, Qin Zhou, Jiachuan Long, and Zhilong Li "Scattering coefficient profile extraction based on Monte Carlo simulation of lateral scattering Lidar", Proc. SPIE 11519, Twelfth International Conference on Digital Image Processing (ICDIP 2020), 115190W (12 June 2020); https://doi.org/10.1117/12.2572925

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