Evaluation of BRDF Archetypes for Representing Surface Reflectance Anisotropy Using MODIS BRDF Data

Remote Sensing

Hu Zhang²  Ziti Jiao²  Yadong Dong²  Xiaowen Li²  Richard Müller¹ 

[1] State Key Laboratory of Remote Sensing Science, and School of Geography, Beijing Normal University, Beijing 100875, China;;State Key Laboratory of Remote Sensing Science, and School of Geography, Beijing Normal University, Beijing 100875, China; E-Mails:

关键词: bidirectional reflectance distribution function (BRDF);    BRDF archetype;    albedo;    anisotropic flat index;    Moderate Resolution Imaging Spectroradiometer (MODIS);    prior knowledge;    kernel-driven BRDF model;   

DOI  :  10.3390/rs70607826

来源: mdpi

【 摘 要 】

Bidirectional reflectance distribution function (BRDF) archetypes extracted from the Moderate Resolution Imaging Spectroradiometer (MODIS) BRDF/Albedo product over the global Earth Observing System Land Validation Core Sites can be used to simplify BRDF models. The present study attempts to evaluate the representativeness of BRDF archetypes for surface reflectance anisotropy. Five-year forward-modeled MODIS multi-angular reflectance (MCD-ref) and aditional actual MODIS multi-angular observations (MCD-obs) in four growing periods in 2008 over three tiles were taken as validation data. First, BRDF archetypes in the principal plane were qualitatively compared with the time-series MODIS BRDF product of randomly sampled pixels. Secondly, BRDF archetypes were used to fit MCD-ref, and the average root-mean-squared errors (RMSEs) over each tile were examined for these five years. Finally, both BRDF archetypes and the MODIS BRDF were used to fit MCD-obs, and the histograms of the fit-RMSEs were compared. The consistency of the directional reflectance between the BRDF archetypes and MODIS BRDFs in nadir-view, hotspot and entire viewing hemisphere at 30° and 50° solar geometries were also examined. The results confirm that BRDF archetypes are representative of surface reflectance anisotropy for available snow-free MODIS data.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.