Linear algorithm for salinity distribution modelling from MODIS data

This paper was utilized a new approach for modeling sea surface salinity (SSS) from MODIS satellite data. This was based on utilizing of the least squares method in order to retrieve SSS from multi MODIS bands data. The study shows that homogenous offshore sea surface salinity as compared with onshore SSS variations. The onshore SSS are ranged between 28.5 and 29.5 psu whereas the offshore SSS variations have maximum value of 33.8 psu. The results also show a good correlation between in situ SSS measurements and the SSS that is retrieved from MODIS satellite data with high r
²
of 0.96 and RMS of bias value of ±0.37 psu. It can be said that least squares method can be used to provide a new algorithm for SSS retrieval from MODIS satellite data.