Radkevich Alexander
Science Systems and Applications, Inc.
Remote Sens (Basel). 2018 Apr;10(4). doi: 10.3390/rs10040591. Epub 2018 Apr 11.
BRDF defines anisotropy of the surface reflection. It is required to specify the boundary condition for radiative transfer (RT) modeling used in aerosol retrievals, cloud retrievals, atmospheric modeling and other applications. Ground based measurements of reflected radiance draw increasing attention as a source of information about anisotropy of surface reflection. Derivation of BRDF from surface radiance requires atmospheric correction. This study develops a new method of retrieving BRDF on its whole domain making it immediately suitable for further atmospheric RT modeling applications. The method is based on the integral equation relating surface reflected radiance, BRDF and solutions of two auxiliary atmosphere-only RT problems. The method requires kernel-based BRDF. The weights of the kernels are obtained with a quickly converging iterative procedure. RT modeling has to be done only one time before the start of iterative process.
双向反射分布函数(BRDF)定义了表面反射的各向异性。在气溶胶反演、云反演、大气建模及其他应用中使用的辐射传输(RT)建模,需要指定边界条件。作为表面反射各向异性信息的来源,地面反射辐射率测量越来越受到关注。从表面辐射率推导BRDF需要进行大气校正。本研究开发了一种在整个域上反演BRDF的新方法,使其可立即适用于进一步的大气RT建模应用。该方法基于将表面反射辐射率、BRDF以及两个仅涉及大气的辅助RT问题的解相关联的积分方程。该方法需要基于核的BRDF。通过快速收敛的迭代过程获得核的权重。在迭代过程开始之前,只需进行一次RT建模。