RT info:eu-repo/semantics/article
T1 SEBS validation in a Spanish rotating crop
A1 Timmermans, Joris
A1 Su, Zhongbo
A1 Pardo Gómez, Nuria
A1 Sánchez Gómez, María Luisa
A1 Pérez Bartolomé, Isidro Alberto
A1 García Pérez, María Ángeles
K1 Surface Energy Balance System (SEBS)
K1 Remote sensing
K1 Energy balance
K1 Eddy Covariance
K1 Evaporative Fraction
K1 Normalized Difference Vegetation Indexa
AB This paper focuses on calculating Evaporative Fraction (EF) and energy balance components, applying theSurface Energy Balance System (SEBS) model combined with remote sensing products and meteorologicaldata over an agricultural rotating cropland from 2008 to 2011. The model is validated by comparingSEBS results with observed EF and surface fluxes obtained using an Eddy Covariance (EC) techniquetogether with meteorological instrumentation. Three different approaches of the model are evaluated:SEBS-0 (original algorithm), SEBS–SM (algorithm modified with soil moisture), and SEBS–NDVI (SEBS-0 modified with the Normalized Difference Vegetation Index – NDVI – and the surface temperature –Tsurf). Based on current knowledge of the close relationship between EF and NDVI, a modified SEBS-0algorithm, SEBS–NDVI, is proposed in this study. This new approach is developed so as to improve resultsfor EF and latent heat flux (LE), and this paper presents the results of all three SEBS approaches used inthis study. Modelled Rnis found to be in good agreement with observed data (R2= 0.75), although SEBS-calculated G gave less satisfactory results (R2= 0.38) and its seasonal dynamics shows discrepancies withobserved data. An evaluation of SEBS-0 shows a clear underestimation of H (R2= 0.54) and a markedoverestimation of EF and LE. Comparison with ground-based data yielded the best correlation applyingSEBS–NDVI, avoiding overestimation of EF and LE obtained with SEBS-0 and SEBS–SM. Results show thatthe proposed SEBS–NDVI, using a scale factor related to NDVI and Tsurf, is able to reproduce satisfactorilythe EF (R2= 0.65) and LE (R2= 0.70) seasonal pattern better than the two previous approaches for ourstudy plot.
PB Elsevier B.V.
SN 0168-1923
YR 2014
FD 2014
LK https://uvadoc.uva.es/handle/10324/65562
UL https://uvadoc.uva.es/handle/10324/65562
LA spa
NO Agricultural and Forest Meteorology 195–196 (2014) 132–142
NO Producción Científica
DS UVaDOC
RD 05-jun-2024