Marghany, Maged and Hashim, Mazlan (2011) A numerical method for retrieving sea surface salinity from MODIS satellite data. International Journal of Physical Sciences, 6 (13). pp. 3116-3125. ISSN 1992-1950
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Official URL: http://dx.doi.org/10.5897/IJPS11.214
This work presents a new approach for modeling sea surface salinity (SSS) from MODIS satellite data. In doing so, the least squares algorithm is used to retrieve SSS from multi MODIS bands data. Thus, the basic linear model has been solved by using least square estimators. In situ measurements are collected along the east coast of peninsular Malaysia by using hydrolab instrument. 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 r2 of 0.97 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.
|Uncontrolled Keywords:||least square estimators, linear model, moderate-resolution imaging spectrometer satellite data, sea surface salinity|
|Divisions:||Geoinformation and Real Estate|
|Deposited By:||Liza Porijo|
|Deposited On:||25 Oct 2012 04:57|
|Last Modified:||13 Feb 2017 02:32|
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