Impacts of the broadband albedo on actual evapotranspiration estimated by S-SEBI model over an agricultural area

REMOTE SENSING OF ENVIRONMENT

卷:147

Article

Mattar, C.^1,2  Franch, B.^3,4  Sobrino, J. A.¹  Corbari, C.⁵  Jimenez-Munoz, J. C.¹  Olivera-Guerra, L.²  Skokovic, D.¹  Soria, G.¹  Oltra-Carrio, R.¹  Julien, Y.¹  Mancini, M.⁵ 

[1] Univ Valencia, Image Proc Lab, Global Change Unit, Valencia 46980, Spain

[2] Univ Chile, LAB, Santiago, Chile

[3] Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA

[4] NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA

[5] Politecn Milan, Dept Civil & Environm Engn, I-20133 Milan, Italy

关键词: Surface broadband albedo;    BRDF;    AHS;    Angular variation;    Heat fluxes;    Evapotranspiration;    S-SEBI;   

DOI  :  10.1016/j.rse.2014.02.011

来源: Elsevier

【 摘 要 】

Surface albedo and emissivity are essential variables in surface energy balance. In recent decades, several land surface energy models have used both surface broadband albedo and emissivity in order to achieve reliable evapotranspiration retrievals on a daily basis. Despite these improvements in surface energy models, we noticed an assumption that most studies make when using this framework. It assumes that the surface broadband albedo and emissivity can be estimated directly as a weighted average of spectral surface bi-directional reflectances, and as a weighted average of spectral surface emissivities retrieved at a given view angle, respectively. However, this approach does not take into account surface anisotropy, which is described by the Bi-directional Reflectance Distribution Function (BRDF) in the case of the surface albedo. In this paper, we analyze the influence that estimating land surface albedo directly from the surface reflectance (alpha(REF)) or through the BRDF integration (alpha(BRDF)) has on the estimation of energy balance components (net radiation, latent and sensible heat fluxes and evapotranspiration) by using the Simplified Surface Energy Balance Index (S-SEBI). To this end, in-situ data and remote sensing images acquisitioned at different view zenith angles (VZA) such as 0 degrees, +/- 40 degrees and +/- 57 degrees by the Airborne Hyperspectral Scanner (AHS) over an agricultural area were used. Results show high variation in alpha(REF) depending on the VZA when compared to alpha(BRDF), with the highest difference observed in the backward scattering direction along the hot spot region (RMSE of 0.11 and relative error of 65%). Net radiation gives relative errors from 6 to 17%, with the maximum error obtained in the images that include the hot spot effect, whereas significant changes are not observed in case of the ground heat flux and the evaporative fraction. However, sensible heat flux, latent heat flux and daily evapotranspiration show relative errors ranging between 23-39%, 6-18% and 5-15% respectively. In a future study, the influence of estimating surface emissivity directly from the average of spectral emissivities under a given view angle or using a hemispherical value will be analyzed. (C) 2014 Elsevier Inc. All rights reserved.

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