Impacts of the broadband albedo on actual evapotranspiration estimated by S-SEBI model over an agricultural area
Author
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Mattar, C.
Author
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Franch, B.
es_CL
Author
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Sobrino, J. A.
es_CL
Author
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Corbari, C.
es_CL
Author
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Jiménez Muñoz, J. C.
es_CL
Author
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Olivera Guerra, L.
es_CL
Author
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Skokovic, D.
es_CL
Author
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Sória, G.
es_CL
Author
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Oltra Carrió, R.
es_CL
Author
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Julien, Y.
es_CL
Author
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Mancini, M.
es_CL
Admission date
dc.date.accessioned
2015-01-06T13:51:03Z
Available date
dc.date.available
2015-01-06T13:51:03Z
Publication date
dc.date.issued
2014
Cita de ítem
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Remote Sensing of Environment 147 (2014) 23–42
en_US
Identifier
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DOI: 10.1016/j.rse.2014.02.011
Identifier
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https://repositorio.uchile.cl/handle/2250/120274
General note
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Artículo de publicación ISI
en_US
Abstract
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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 energymodels, we noticed
an assumption that most studiesmakewhen using this framework. It assumes that the surface broadband albedo
and emissivity can be estimated directly as aweighted average of spectral surface bi-directional reflectances, and
as aweighted 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 (αREF) or through the BRDF integration (αBRDF) 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°, ±40° and ±57° by the Airborne
Hyperspectral Scanner (AHS) over an agricultural areawere used. Results showhigh variation in αREF depending
on the VZA when compared to αBRDF, 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 themaximumerror 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.
en_US
Patrocinador
dc.description.sponsorship
European Union (CEOP-AEGIS,
project FP7-ENV-2007-1 Proposal No. 212921) and the Ministerio de
Economía y Competitividad (EODIX, project AYA2008-0595-C04-01;
CEOS-Spain, project AYA2011-29334-C02-01. This work was also partially
funded by Program U-INICIA VID 2012, grant U-INICIA 4/0612;
Santander Fellowship—University of Chile for young scientist and
Fondecyt-Initial (CONICYT/ref-11130359).