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Remote Sensing Techniques for Predicting Evapotranspiration from Mixed Vegetated Surfaces : Volume 10, Issue 3 (25/03/2013)

By Nouri, H.

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Book Id: WPLBN0004011709
Format Type: PDF Article :
File Size: Pages 29
Reproduction Date: 2015

Title: Remote Sensing Techniques for Predicting Evapotranspiration from Mixed Vegetated Surfaces : Volume 10, Issue 3 (25/03/2013)  
Author: Nouri, H.
Volume: Vol. 10, Issue 3
Language: English
Subject: Science, Hydrology, Earth
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


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Beecham, S., Kazemi, F., Hassanli, A. M., Anderson, S., & Nouri, H. (2013). Remote Sensing Techniques for Predicting Evapotranspiration from Mixed Vegetated Surfaces : Volume 10, Issue 3 (25/03/2013). Retrieved from

Description: SA Water Centre for Water Management and Reuse, University of South Australia, Adelaide, Australia. Evapotranspiration (ET) as the key component of hydrological balance is the most difficult factor to quantity. In the last decades, ET estimation has been benefitted from advances in remote sensing particularly in agricultural fields. However, quantifying evapotranspiration from mixed landscape vegetation environs is still complicated and challenging due to the heterogeneity of plant species, canopy covers, microclimate, and because of costly methodological requirements. Extensive numbers of studies have been conducted in agriculture and forestry that alternatively ought to be borrowed for mixed landscape vegetation studies with some modifications. This review describes general remote sensing-based approaches to estimate ET and their pros and cons. Considering the fact that most of them need extensive time investment, medium to high level of skills and are quite expensive, the simplest approach; interface, is recommended to apply for mixed vegetation. Then, VI-based approach was discussed for two categories of agricultural and non-agricultural environs. Some promising studies were mentioned to support the suitability of the method for mixed landscape environs.

Remote sensing techniques for predicting evapotranspiration from mixed vegetated surfaces

Allen, R. G.: Using the FAO-56 dual crop coefficient method over an irrigated region as part of an evapotranspiration intercomparison study, J. Hydrol., 229, 27–41, doi:10.1016/s0022-1694(99)00194-8, 2000.; Allen, R. G., Pereira, L. S., Raes, D., and Smith, M.: Crop evapotranspiration – Guidelines for computing crop water requirements – FAO Irrigation and drainage paper 56, FAO – Food and Agriculture Organization of the United Nations, Rome, 1998.; Allen, R. G., Tasumi, M., Morse, A., and Trezza, R.: A Landsat-based energy balance and evapotranspiration model in Western US water rights regulation and planning, Irrig. Drain. Syst., 19, 251–268, doi:10.1007/s10795-005-5187-z, 2005.; Allen, R. G., Pereira, L. S., Howell, T. A., and Jensen, M. E.: Evapotranspiration information reporting: I. Factors governing measurement accuracy, Agr. Water Manage., 98, 899–920, doi:10.1016/j.agwat.2010.12.015, 2011a.; Allen, R. G., Pereira, L. S., Howell, T. A., and Jensen, M. E.: Evapotranspiration information reporting: II. Recommended documentation, Agr. Water Manage., 98, 921–929, doi:10.1016/j.agwat.2010.12.016, 2011b.; Baldocchi, D., Dennis, D., and Kell, B.: Modeling CO2 and water vapor exchange of a temperate broadleaved forest across hourly to decadal time scales, Ecol. Model., 142, 155–184, doi:10.1016/S0304-3800(01)00287-3, 2001.; Bastiaanssen, W. G. M., Menenti, M., Feddes, R. A., and Holtslag, A. A. M.: A remote sensing surface energy balance algorithm for land (SEBAL). 1. Formulation, J. Hydrol., 212–213, 198–212, doi:10.1016/s0022-1694(98)00253-4, 1998.; Boegh, E., Soegaard, H., Hanan, N., Kabat, P., and Lesch, L.: A remote sensing study of the NDVI–Ts relationship and the transpiration from sparse vegetation in the Sahel based on high-resolution satellite data, Remote Sens. Environ., 69, 224–240, doi:10.1016/S0034-4257(99)00025-5, 1999.; Boegh, E., Poulsen, R. N., Butts, M., Abrahamsen, P., Dellwik, E., Hansen, S., Hasager, C. B., Ibrom, A., Loerup, J. K., Pilegaard, K., and Soegaard, H.: Remote sensing based evapotranspiration and runoff modeling of agricultural, forest and urban flux sites in Denmark: from field to macro-scale, J. Hydrol., 377, 300–316, doi:10.1016/j.jhydrol.2009.08.029, 2009.; Burt, C. M., Mutziger, A. J., Allen, R. G., and Howell, T. A.: Evaporation research: review and interpretation, J. Irrig. Drain. E.-ASCE, 131, 37–58, 2005.; Buyantuyev, A., Wu, J., and Gries, C.: Estimating vegetation cover in an urban environment based on Landsat ETM+ imagery: a case study in Phoenix, USA, Int. J. Remote Sensing Arch., 28, 269–291, 2007.; Calcagno, G., Mendicino, G., Monacelli, G., Senatore, A., and Versace, P.: Distributed estimation of actual evapotranspirat


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