TY - GEN
T1 - Spatial EvapoTranspiration Modelling Interface (SETMI)
AU - Geli, Hatim M.E.
AU - Neale, Christopher M.U.
PY - 2012
Y1 - 2012
N2 - In order to obtain improved estimates of spatial-temporal evapotranspiration (ET) and to study the related effects of land and near-surface atmosphere interactions, different soil vegetation atmosphere transfer models (SVAT) are coupled with a water balance model of vegetation root zone using data assimilation techniques to update soil moisture. Within this context we developed the Spatial EvpoTranspiration Modelling Interface (SETMI) in which three different thermal remote sensing-based models are included: the one layer model (OLEM), the two source model (TSM), and the Surface Energy Balance (SEBAL) to provide estimates of surface energy fluxes and daily ET. The water balance model of the root zone is the one proposed in the FAO Paper 56 which was included to provide daily and seasonal estimates of ET and was modified to use the reflectance-based basal crop coefficient (Kcbrf) obtained from remote sensing. SETMI can also be combined with simple soil water dynamics models to provide multilayer root zone soil moisture estimates.
AB - In order to obtain improved estimates of spatial-temporal evapotranspiration (ET) and to study the related effects of land and near-surface atmosphere interactions, different soil vegetation atmosphere transfer models (SVAT) are coupled with a water balance model of vegetation root zone using data assimilation techniques to update soil moisture. Within this context we developed the Spatial EvpoTranspiration Modelling Interface (SETMI) in which three different thermal remote sensing-based models are included: the one layer model (OLEM), the two source model (TSM), and the Surface Energy Balance (SEBAL) to provide estimates of surface energy fluxes and daily ET. The water balance model of the root zone is the one proposed in the FAO Paper 56 which was included to provide daily and seasonal estimates of ET and was modified to use the reflectance-based basal crop coefficient (Kcbrf) obtained from remote sensing. SETMI can also be combined with simple soil water dynamics models to provide multilayer root zone soil moisture estimates.
KW - Remote sensing
KW - Spatial-temporal evapotranspiration
KW - Surface energy fluxes
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M3 - Conference contribution
AN - SCOPUS:84883427838
SN - 9781907161278
T3 - IAHS-AISH Publication
SP - 171
EP - 174
BT - Remote Sensing and Hydrology
T2 - Remote Sensing and Hydrology Symposium
Y2 - 27 September 2010 through 30 September 2010
ER -