Thermal and spectral remotely sensed data make the monitoring from flux energy variables in the land atmosphere
interface possible. Therefore, remotely sensed data can be used as an alternative to estimate actual evapotranspiration
(ET) by applying the energy balance equation. In order to test the applicability of this approach in Mexico, MODIS
(Moderate Resolution Imaging Spectroradiometer) estimations from land surface variables are used at 16-day intervals of
composite data. Ancillary information is collected from 2000 ground stations. The methodology includes the Simplified
Surface Energy Balance model (SSEB) and its intercomparison with a combined model from the Surface Energy Balance
Algorithm (SEBAL) and the Two Source Energy Balance (TSEB) procedures. Preliminary results applied to one 16-day
interval during winter, 2002, showed that ET is spatially structured at a landscape level. The most significant
discrepancies between estimations are found due to the general assumptions applied to each model. Secondly, the use of
interpolated ancilliary data from local observations, along with remote sensing data, provides a better representation of
spatial variations of ET with SEBAL-TSEB model for the study period. There is not enough evidence to asses
objectively the performance of both applied procedures. Further testing is required to evaluate at a local scale the
reliability from estimations.
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