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Multiangle remote sensing plays a central role in the development of algorithms for the retrieval of various surface biophysical parameters that are influenced by the reflectance anisotropy. Surface reflectance anisotropy is characterized by the Bidirectional Reflectance Distribution Function (BRDF). Within the past decade, space-borne multiangle observations acquired by the MODerate resolution Imaging...
The surface anisotropy characteristics have important significance in the quantitative remote sensing inversion. The kernel-driven model can express the surface anisotropy well and widely used in remote sensing, and the PROSAIL model is a mature vegetation canopy model which can describe complex vegetation structure, therefore studying surface anisotropy variance of the two models is a key point to...
The semi-empirical kernel-driven Bidirectional Reflectance Distribution Function (BRDF) models have been widely used in many remotely sensed BRDF/albedo products such as MODIS products for their simplicity and physical interpretation[1]. Based on anisotropic flat index (AFX) derived from the model[2], magnitude inversion algorithm which takes BRDF archetypes as prior knowledge have been proposed[3]...
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