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A Hierarchy of Models for Lidar Multiple Scattering and Its Applications for Simulation and Analysis of Spaceborne Lidar Returns

机译:激光雷达多重散射模型的层次结构及其在星载激光雷达回波仿真分析中的应用

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In lidar remote sensing the classical lidar equation is normally used for the retrieval of environmental parameters from the return signal. One of the most important reasons for this is the simplicity of this equation which describes the contribution of single scattering to the return signal only. But it is well known that multiple scattering occurs in lidar sensing of dense clouds and remote cirrus clouds. Therefore a more and more precise description of lidar returns is needed. We present a stochastic model for the description of the transport of light through the atmosphere and obtain an exact multiple scattering lidar equation from which by introducing simplifying assumptions step by step the classical lidar equation may be derived. Of course, more information about the scattering behaviour of the scattering particles or molecules of the atmosphere is needed for such an exact multiple scattering equation, but the more input is necessary the more output is possible. Indeed, it is possible to obtain simultaneously quite different environmental parameters (e.g. extinction and size distribution) from one multiply scattered return signal. We show examples of simulations of returns of a ground-based and a spaceborne lidar from water clouds, cirrus, and haze. These simulations and the obtained importance of the contributions of higher orders of scattering show the need for a more precise modeling of lidar returns, especially for spaceborn lidars.
机译:在激光雷达遥感中,通常使用经典激光雷达方程式从返回信号中检索环境参数。最重要的原因之一是该方程式的简单性,该方程式仅描述了单个散射对返回信号的贡献。但是众所周知,在密集云和偏远卷云的激光雷达感测中会发生多重散射。因此,需要对激光雷达回波进行越来越精确的描述。我们提供了一种用于描述光在大气中传输的随机模型,并获得了精确的多重散射激光雷达方程,通过逐步引入简化的假设,可以得出经典的激光雷达方程。当然,对于这种精确的多重散射方程式,需要更多有关大气中的散射粒子或分子的散射行为的信息,但是必要的输入越多,输出就越可能。确实,有可能从一个多重散射返回信号中同时获得完全不同的环境参数(例如,消光和尺寸分布)。我们展示了从水云,卷云和雾霾返回的地面雷达和星载激光雷达的返回结果的模拟示例。这些模拟以及所获得的更高阶散射贡献的重要性表明,需要对激光雷达回波进行更精确的建模,尤其是对于太空型激光雷达。

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