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Estimation of Actual Evapotranspiration using Remote Sensing data

Gamage, Nilantha, Smakhtin, V and Perera, B. J. C (2011) Estimation of Actual Evapotranspiration using Remote Sensing data. In: MODSIM2011, 19th International Congress on Modelling and Simulation. Chan, F, Marinova, D and Anderssen, R. S, eds. Modelling and Simulation Society of Australia and New Zealand, Australia, pp. 3356-3362.

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Estimation of actual evapotranspiration (AET) and its spatial distribution are important to understanding of catchment hydrology. The AET is driven by net energy available to evaporate water from soil and vegetation surfaces, and to transpirate water from vegetation. However, estimating AET is difficult as the evapotranspiration process involves complex physical and biological processes. It is further complicated when there is lack of measured meteorological variables data which are required for estimation. These data are essential to quantify the availability of net energy and the aerodynamic effects of the evapotranspiration process. Remote sensing (RS) data, which are widely available and easily accessible than the measured ground data, can be used to estimate the availability of net energy for AET. However, still some measured ground data are required to quantify the aerodynamic effects on AET. In this study, remote sensing data and readily available climate datasets were used as inputs to an energy balance technique to estimate AET, as an alternative to the traditional ET estimation procedures, which require measured hydrometeorological data. The Macalister subcatchment in the Thomson catchment in Victoria (Australia) was used as the case study considering the study period from January 2003 to December 2008.

Item Type: Book Section
ISBN: 9780987214317
Additional Information:

The 19th International Congress on Modelling and Simulation (MODSIM2011) was held at the Perth Convention and Exhibition Centre in Perth, Western Australia, from 12 to 16 December 2011

Uncontrolled Keywords: ResPubID23671, actual evapotranspiration, remote sensing, surface energy balance system
Subjects: Historical > Faculty/School/Research Centre/Department > School of Engineering and Science
Current > FOR Classification > 0905 Civil Engineering
Historical > SEO Classification > 9609 Land and Water Management
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Depositing User: VUIR
Date Deposited: 14 Feb 2013 05:01
Last Modified: 09 Jul 2020 05:58
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Citations in Scopus: 2 - View on Scopus

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