Result	Year	Scholar	Item
This study’s result shows correlation between sea water salinity rate and Landsat TM assessing bands.	1982	Khorram	1
They could use radar images ( microwaves) for determining seas water salinity rate	1982	Sonia et al.	2
In US, for the first time, he could register locating fresh water using electrical conduction in the form of an invention. In this method, a ship moved parallel to coastal line and using an electrical Conductometer which had been dropped out of the ship to the sea, identified fresh water springs.	1992	Laing	3
In Jordan country, he could identify the exit spot of fresh water springs using infrared imaging and field measuring of salinity and temperature factors in Dead Sea.	2006	Akawwi	4
They showed that sea waters salinity rate is extractable using satellite optic images.	2008	Ahn et al.	5
They used radar images for determining waters salinity rate. In radar images, for determining sea waters salinity rate, measuring water surface temperature rate is required. Therefore, they could make a relation between sea waters salinity rate and surface temperature.	2009	Palacios et al.	6
They found out that there is a linear relation between sea water salinity and reflection rate of bands 1 to 7 of MODIS images.	2009	Wong et al.	7
They used MODIS images for determining water salinity rate of Peninsular Malaysia.	2010	Marghani	8
They used methods of Generalized Linear Model, Generalized additive model, Artificial Neural Network, Multivariate Adaptive Regression Spline, MODIS images, Geographic model and Tree based data mining techniques and calculated each error rate.	2012	Urquhart	9
They used MODIS images and genetic algorithm for determining Taiwan Strait waters salinity rate. In this method, it was hypothesized that the previous research mathematics relation is not optimal and just supports a linear state. For this reason, they used genetic algorithm for determining the main relation between salinity and MODIS image bands.	2013	Chen & Alabbadi	10