Estimation of Suspended Sediments Using Remote Sensing Technique Sensor in North-West Coasts of Persian Gulf

This paper aims to estimate suspended sediment using Remote Sensing Technique in the North-west coasts of the Persian Gulf, the two indices which have been used are SS and TSS. Data used in this study are collected from MODIS sensor data through Aqua satellite.
Several different algorithms are used for creating these images and they are used to detect and determine Suspended Sediments. In this regard, by introducing the variables required to extract data, Radiometric and atmospheric correction coding is based on MATLAB programming, Finally, entering the matrix file and apply filters ArcGIS software is proportional to its level in the final maps and points of view have been achieved.
Findings: In general, RMSE results illustrate that using combinational regression method and employing satellite imagery with 500-meter bands and reaching a higher coefficient of determination (=0.82) and also the lowest RMSE (RMSE=0.88 mg/L) and 250 and 500-meter bands is more suitable for designing SS maps in Persian Gulf.
Discussion and These results indicate a very high linear relationship between dependent variable (TSS and SS field data) and data from 1 to 7 bands and sensor angle (depending on the used algorithm and model) are considered as independent variables and it was observed that there is a significant relationship between field data and extracted data from satellite imagery. All these results indicate the potential of remote sensing technique for sensing and considering marine parameters.