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Retrieval of Physical and Optical Cloud Thicknesses from Space-Borne and Wide-Angle Imaging Lidar

机译:从空间和广角成像激光雷达的物理和光学云厚度检索

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Pulsed laser beams are essentially delta-functions in space, time and direction; lidar returns are therefore the remotely observable parts of the cloud's Green function for radiative transfer. However, "observable" is not limited here a priori to quasi-backscattered radiance, so propagation away from the laser beam and back to be detector by multiple scattering through arbitrarily large angles is considered. We present heuristic arguments demonstrating that the primary information conveyed by Green functions in the spatial/angular and time domains can, in principle, be combined to retrieve the physical and optical thicknesses of stratiform clouds at about 0.5 km resolution. The photon random walk theory presented here is justified by incloud "diffusion domain" observations and validated by statistical analyses of real and simulated LANDSAT radiance fields, as well as a remarkable result from LITE. The remaining challenges is to detect the weak, highly-scattered signal. Strategies for ground- and space-borne designs are discussed in the framework of current lidar and low-light imaging technologies.
机译:脉冲激光束基本上是空间,时间和方向的三角形功能;因此,LIDAR返回是云绿色功能的远程可观察部分,用于辐射转移。然而,这里的“可观察”不限于以准反向散射的辐射先验,因此考虑通过任意大角度通过多个散射远离激光束并返回到检测器。我们提出了表明,在空间/角度和时畴中的绿色功能传达的主要信息原则上可以组合以在大约0.5km分辨率下检索层状云的物理和光学厚度。这里呈现的光子随机步道理论是通过控制“扩散域”观察的理由,并通过真实和模拟的Landsat Radiance领域的统计分析来验证,以及Lite的显着结果。剩下的挑战是检测弱,高度散落的信号。在当前激光雷达和低光成像技术的框架中讨论了地面和空间设计的策略。

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