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