将激光雷达多重散射剖面与雪深和雪密度联系起来:分析辐射传输分析及其对雪遥感的影响

Yongxiang Hu, Xiaomei Lu, Xubin Zeng, Charles Gatebe, Q. Fu, Ping Yang, Carl Weimer, S. Stamnes, R. Baize, Ali Omar, Garfield Creary, Anum Ashraf, K. Stamnes, Yuping Huang
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引用次数: 1

摘要

激光雷达多次散射测量提供了激光在雪中传播距离的概率分布。基于解析的双流辐射传输解决方案,本研究展示了为什么/如何使用这些激光雷达测量来获得雪深和雪密度。特别是,对于雪吸收较少的激光波长,利用分析辐射传输解证明了物理雪深是光子在雪中传播的平均距离的一半,并且证明了激光雷达测量值与雪消光系数之间的关系是有效的。给出了将激光雷达测量与消光系数和雪的有效粒径联系起来的理论公式。积雪密度也可以通过多波长激光雷达测量积雪消光系数和积雪有效粒径得到。另外,激光雷达可以提供最直接的雪密度测量,并通过增加振动拉曼散射通道有效区分雪和树。
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Linking lidar multiple scattering profiles to snow depth and snow density: an analytical radiative transfer analysis and the implications for remote sensing of snow
Lidar multiple scattering measurements provide the probability distribution of the distance laser light travels inside snow. Based on an analytic two-stream radiative transfer solution, the present study demonstrates why/how these lidar measurements can be used to derive snow depth and snow density. In particular, for a laser wavelength with little snow absorption, an analytical radiative transfer solution is leveraged to prove that the physical snow depth is half of the average distance photons travel inside snow and that the relationship linking lidar measurements and the extinction coefficient of the snow is valid. Theoretical formulas that link lidar measurements to the extinction coefficient and the effective grain size of snow are provided. Snow density can also be derived from the multi-wavelength lidar measurements of the snow extinction coefficient and snow effective grain size. Alternatively, lidars can provide the most direct snow density measurements and the effective discrimination between snow and trees by adding vibrational Raman scattering channels.
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