Numerical results of Monte Carlo code in lidar returns considering polarization of light and different phase functions Resultados numéricos del programa Monte Carlo en retornos lidar considerando la polarización de la luz y diferentes funciones de fase

Abstract

Monte Carlo method (MCM) is a useful tool to simulate and understand random process in the nature. Many of this process are difficult to solve by means of analytic expressions, due we do not know many of its variables involved in the process. The core of MCM is to generate random variables, which represent physical variables, through of its probability distribution function (PDF). Every random physical variable has a law of probability to obtain a certain value, within a specific interval. Specially, in the data obtained by lidar returns, we got information of the type of scatterer from the radiation backscatter to receiver. This portion of backscatter radiation is a little part of the function that describes the total scattering in radians. This function is called “phase function” and has a particular way depending on size, refractive index, shape, etc. of the scatterer. In this work we present the numerical results to consider different phase functions in the simulation of lidar returns, through of MCM.

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Cite this paper

@inproceedings{Lara2014NumericalRO, title={Numerical results of Monte Carlo code in lidar returns considering polarization of light and different phase functions Resultados numéricos del programa Monte Carlo en retornos lidar considerando la polarización de la luz y diferentes funciones de fase}, author={Edmundo Reynoso Lara and Jos{\'e} Antonio D{\'a}vila Pintle and Yolanda Elinor Bravo Garc{\'i}a and Argelia Balbuena Ortega}, year={2014} }