Hydrology and Earth System Sciences, ( ISI ), Volume (10), Year (2013-3) , Pages (38925-3925)

Title : ( Remote sensing techniques for predicting evapotranspiration from mixed vegetated surfaces )

Authors: H. Nouri , S. Beecham , Fatemeh Kazemi , A. M. Hassanli , s. Anderson ,

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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 evap- 5 otranspiration 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 10 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 15 mentioned to support the suitability of the method for mixed landscape environs.

Keywords

Remote sensing techniques for predicting evapotranspiration from mixed vegetated
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@article{paperid:1038642,
author = {H. Nouri and S. Beecham and Kazemi, Fatemeh and A. M. Hassanli and S. Anderson},
title = {Remote sensing techniques for predicting evapotranspiration from mixed vegetated surfaces},
journal = {Hydrology and Earth System Sciences},
year = {2013},
volume = {10},
month = {March},
issn = {1027-5606},
pages = {38925--3925},
numpages = {-35000},
keywords = {Remote sensing techniques for predicting evapotranspiration from mixed vegetated surfaces},
}

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%0 Journal Article
%T Remote sensing techniques for predicting evapotranspiration from mixed vegetated surfaces
%A H. Nouri
%A S. Beecham
%A Kazemi, Fatemeh
%A A. M. Hassanli
%A S. Anderson
%J Hydrology and Earth System Sciences
%@ 1027-5606
%D 2013

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