Title :
An improved bidirectional reflectance distribution function (BRDF) over rugged terrain based on moderate spatial resolution remote sensing data
Author :
Bo Gao ; Li Jia ; Menenti, Massimo
Author_Institution :
State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China
Abstract :
Land surface albedo is derived from a bidirectional reflectance distribution function (BRDF) model with angular integration of BRDF. The kernel-driven model is based on the Algorithm for MODIS Bidirectional Reflectance Anisotropic of Land Surface (AMBRALS) to retrieve land surface albedo. However, at moderate/low spatial resolution scale, topography results in mutual shading of sub-pixels, the kernel-driven model does not deal explicitly with such topographic effects. This paper proposes an improved kernel-driven model by adding a topographic factor to the kernel-driven model. This model was applied to MODIS land surface reflectance and the results were compared with the ones obtained with AMBRALS. The results were evaluated against ground measurements.
Keywords :
terrain mapping; AMBRALS; Algorithm for MODIS Bidirectional Reflectance Anisotropic of Land Surface; BRDF angular integration; BRDF model; MODIS data; Moderate Spatial Resolution Remote Sensing; bidirectional reflectance distribution function; kernel-driven model; land surface albedo; rugged terrain; sub-pixel mutual shading; Bidirectional control; Kernel; Land surface; Optical surface waves; Reflectivity; Remote sensing; Surface topography; BRDF; MODIS; land surface albedo; topographic effect;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4799-1114-1
DOI :
10.1109/IGARSS.2013.6723397