Separation of Aerosol Optical Depth From the Cloud and Sediments in Marine Areas Using Satellite Data

The ultimate goal of this study is using remote sensing technology and using MODIS data to calculate the amount of dust in the Persian Gulf and evaluation of linear correlation model with ground measurements of atmospheric dust. The method of this research was that initially deposition mask and clouds mask and atmospheric correction was applied to images. In the following, extract of dust values in the form of AOD parameter was performed by using cod of MATLAB software. Finally, evaluation of results was performed by using the AERONET station data and statistical indicators RMSE and RMSD. Initial results of algorithm was reflects the model ability to simulation of dust particles. The results showed that existing algorithms simulate the spectral reflectance data in the effective radius different for dust concentration in the LUT tables. Amount of correlation calculated form the 13 September 2009 in the band of 1.243 is 0.94 and for the band of 1.643 is 0.97 respectively. RMSE and RMSD indexes were calculated in these day for bands of 1.243 equal to 0.02 and 0.02, and day for bands of 1.643 equal to 0.1 and 0.01 respectively. The evaluation results showed that AOD values obtained from satellite images is significantly correlated with AOD measured in AERONET stations.