%0 Journal Article
%T Water Stress Estimation from NDVI-Ts Plot and the Wet  Environment Evapotranspiration
%A Daniela Girolimetto
%A Virginia Venturini
%J Advances in Remote Sensing
%P 283-291
%@ 2169-2688
%D 2013
%I Scientific Research Publishing
%R 10.4236/ars.2013.24031
%X <p class=\"MsoNormal\" style=\"text-align:justify;\">
	<span style=\"font-family:Verdana;\" lang=\"EN-US\">In this work we present a new simple index to estimate water stress
(WS) for different type</span><span style=\"font-family:Verdana;\" lang=\"EN-US\">s</span><span lang=\"EN-US\"><span style=\"font-family:Verdana;\"> of surfaces, from remotely sensed data. We
derive a WS index, named </span><i><span style=\"font-family:Verdana;\">WSI</span><sub><span style=\"font-family:Verdana;\">Ew</span></sub></i><span style=\"font-family:Verdana;\">,
modifying the Water Deficit Index (WDI) proposed by Moran </span><i><span style=\"font-family:Verdana;\">et al</span></i><span style=\"font-family:Verdana;\">. by using the wet environment evapotranspiration (</span><i><span style=\"font-family:Verdana;\">E</span></i><sub><span style=\"font-family:Verdana;\">w</span></sub><span style=\"font-family:Verdana;\">) instead of the potential
evapotranspiration (</span><i><span style=\"font-family:Verdana;\">E</span></i><sub><span style=\"font-family:Verdana;\">pot</span></sub><span style=\"font-family:Verdana;\">)
concept. Jiang and Islam model was used to simulate actual evapotranspiration
(ET) and Priestley and Taylor equation to estimate </span><i><span style=\"font-family:Verdana;\">E</span></i><sub><span style=\"font-family:Verdana;\">w</span></sub><span style=\"font-family:Verdana;\">. The </span><i><span style=\"font-family:Verdana;\">WSI</span><sub><span style=\"font-family:Verdana;\">Ew</span></sub></i><span style=\"font-family:Verdana;\"> results were compared </span></span><span style=\"font-family:Verdana;\" lang=\"EN-US\">to</span><span lang=\"EN-US\"><span style=\"font-family:Verdana;\"> ground observations of ET, precipitation (PP), soil temperature (</span><i><span style=\"font-family:Verdana;\">T</span></i><sub><span style=\"font-family:Verdana;\">soil</span></sub><span style=\"font-family:Verdana;\">) and soil moisture (SM)
in the Southern Great Plains-EEUU. Preliminary
results suggest the method is sensitive to the water status of different
surfaces. However</span></span><span style=\"font-family:Verdana;\" lang=\"EN-US\">,</span><span style=\"font-family:Verdana;\" lang=\"EN-US\"> the </span><i><span lang=\"EN-US\"><span style=\"font-family:Verdana;\">WSI</span><sub><span style=\"font-family:Verdana;\">Ew</span></sub></span></i><span style=\"font-family:Verdana;\" lang=\"EN-US\"> would range from 0 to 0.7, having
a value of 0.4 for a dry surface with 5% of SM. </span><span style=\"font-family:Verdana;\" lang=\"EN-US\">The
methodology is operationally
%K Water Stress
%K Water Status
%K Evapotranspiration
%K Remote Sensing
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=40464