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The Angular and Spectral Kernel Model for BRDF and Albedo Retrieval

作者：

Liu SH 【所有文章和数据】
Liu Q 【所有文章和数据】
Liu QH 【所有文章和数据】
Wen JG 【所有文章和数据】
Li XW 【所有文章和数据】

引用方式

Liu SH, Liu Q, Liu QH, Wen JG, Li XW. The angular and spectral kernel model for BRDF and albedo retrieval. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2010, 3(3): 241-256. 10.1109/JSTARS.2010.2048745.

文献信息
Type Of Reference	JOUR
Title	The Angular and Spectral Kernel Model for BRDF and Albedo Retrieval
Authors	Liu, Sihan\| Liu, Qiang\| Liu, Qinhuo\| Wen, Jianguang\| Li, Xiaowen\|
Secondary Title	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Abstract	Albedo may be derived from clear-sky remote-sensing images through inversion of a bidirectional reflectance distribution function (BRDF) model and angular integration. This paper proposes a new multi-angular and multi-spectral BRDF model (ASK Model) based on the kernel-driven conception and gives an effective algorithm for broadband albedo retrieval. By adding component spectra into kernels as prior known driven variables, the new model expresses BRDF as a linear combination of wavelength-independent kernel coefficients and kernels expressed as functions of both observation geometry and wavelength. In this way, the new model brings advantages in two aspects. On the one hand, for model inversion, the new angular and spectral kernels allow combination of observations not only at different viewing and illumination angles, but also at different wavebands, which give more reliable inversion results especially when the angular data are limited. On the other hand, different from traditional narrowband-to-broadband conversion, which gives empirical weights at several available bands, the new algorithm derives broadband albedo as a weighted linear combination of kernel integrations both in angular and wavelength domains. As model validation, ground-based measurements in Heihe Field Campaign have been chosen. Results show that the new model can accurately rebuild BRDF and derive broadband albedo. Furthermore, the new model and algorithm are demonstrated using CHRIS and EOS-MODIS data. The retrieved broadband albedos have been compared with MODIS BRDF/albedo product and the in situ measurements. Results show that the presented algorithm can be employed to retrieve broadband albedo from multisource satellite observations.
Date	2010///
Year	2010
DOI	10.1109/JSTARS.2010.2048745
Database Provider	IEEE Xplore
volume	3
Issue Number	3
Start Page	241
Issn	1939-1404
Keywords	albedo\| albedo retrieval\| Amplitude shift keying\| angular integration\| angular kernel model\| Bidirectional control\| bidirectional reflectance distribution function\| BRDF\| CHRIS data\| Distribution functions\| EOS-MODIS data\| Geometry\| geophysical techniques\| ground-based measurements\| Heihe Field Campaign\| in situ measurements\| Kernel\| kernel coefficients\| kernel-driven model\| Lighting\| MODIS albedo product\| multi-angle\| multispectra\| radiometry\| Remote sensing\| remote-sensing images\| Solid modeling\| spectral kernel model\| Wavelength conversion\| Wavelength measurement\|
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