DocumentCode :
1896929
Title :
Introduction of a tool for BRDF modeling and visualization named V_AMBRALS
Author :
Huang, Xingying ; Jiao, Ziti ; Dong, Yadong ; Zhang, Hu ; Li, Xiaowen
Author_Institution :
Sch. of Geogr. & Remote Sensing, Beijing Normal Univ., Beijing, China
fYear :
2011
fDate :
24-29 July 2011
Firstpage :
3460
Lastpage :
3463
Abstract :
Algorithm for Model Bidirectional Reflectance Anisotropics of the Land Surface (AMBRALS) has been developed for scientific user community by Lucht et al. since 1995 as a surrogate for the operational MODIS Bidirectional Reflectance Distribution Function (BRDF)/Albedo code. It is a family of kernel-driven BRDF models including the operational MODIS BRDF/Albedo main algorithm, and. adopts command line format. In this study, we develop a visual Window´s interface for AMBRALS named VAMBRALS based on the core codes of the AMBRALS to keep consistent with AMBRALS with a series of improvements and innovations. First, VAMBRALS has partly realized image data processing function, initially defined a temporary image converting format file. Second, VAMBRALS has developed a new ability to forwardly calculate reflectance and black-sky albedo at arbitrarily given view and illumination geometry. Third, VAMBRALS has accomplished hybrid programming of C++ and Interactive Data Language (IDL) to visualize model kernel functions and realistic BRDF observations.
Keywords :
C++ language; data visualisation; geophysical image processing; BRDF modeling; BRDF visualization; C++ language; MODIS bidirectional reflectance distribution function code; VAMBRALS interface; black-sky albedo; image data processing function; interactive data language; kernel-driven BRDF model; model bidirectional reflectance anisotropics of the land surface; reflectance albedo; Bidirectional control; Data visualization; Educational institutions; Kernel; Reflectivity; Remote sensing; Three dimensional displays; AMBARLS; Albedo; BRDF; V_AMBRALS; kernel-driven model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
Conference_Location :
Vancouver, BC
ISSN :
2153-6996
Print_ISBN :
978-1-4577-1003-2
Type :
conf
DOI :
10.1109/IGARSS.2011.6049965
Filename :
6049965
Link To Document :
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