双矩阵算法的L波段多角度玉米微波辐射参数化模型

发布时间：2018-03-28 16:11

本文选题：被动微波　切入点：Matrix-Doubling　出处：《遥感学报》2017年02期

【摘要】：双矩阵MD(Matrix-Doubling)算法是辐射传输方程的一种数值解,考虑了植被层内的多次散射信号,具有较高的模拟精度。但受限于算法的复杂性,很难直接应用到地表参数的反演中。本文以玉米覆盖地表为研究对象,基于MD算法的模拟数据,发展了一种L波段多角度微波辐射参数化模型。基于模拟数据的对比结果表明,参数化模型具有与理论模型相当的精度,两者之间的发射率误差不超过0.004(V极化)和0.007(H极化)。同时,结合黑河流域的地面实测数据,利用本论文中发展的参数化模型模拟了纯玉米像元的辐射亮温。该模拟结果与相同像元尺度上机载L波段微波辐射计(PLMR)观测亮温之间的差异基本在10 K以内。
[Abstract]:Double matrix MD (Matrix-Doubling) algorithm is a numerical radiative transfer equation, considering the multiple scattering signal inside the vegetation layer, with high accuracy. But due to the complexity of the algorithm, it is difficult to apply directly to the inversion of surface parameters. This paper covers the surface of corn as the research object, the simulation data of MD algorithm based on the development of the radiation parameterization model of a L band multi angle microwave. Based on the results of comparing the simulation data, the parametric model is equal to the theoretical accuracy of the model, the emissivity of the error is less than 0.004 (V polarization) and 0.007 (H polarization). At the same time, combining with the ground survey data in Heihe basin the simulated radiation pure corn pixel brightness temperature using the parametric model developed in this paper. The simulation results with the same pixel scale airborne L band microwave radiometer (PLMR) brightness temperature differences between the groups This is within 10 K.

【作者单位】：北京师范大学遥感科学国家重点实验室遥感与地理信息系统研究中心地理学与遥感科学学院;中国科学院遥感与数字地球研究所遥感科学国家重点实验室;
【基金】：国家重点基础研究发展计划(973计划)(编号:2013CB733406) 国家自然科学基金(编号:41671337,41171259)~~
【分类号】：S513;TP722.6

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