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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
Historic
Publication Date:
2013
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 http://hawaiilibrary.net/


Description
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.

Summary
Remote sensing techniques for predicting evapotranspiration from mixed vegetated surfaces

Excerpt
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