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Title

Investigation of Sea Surface Salinity in the Persian Gulf Using Data of MODIS and AMSU-B Sensors

Pages

  95-104

Abstract

 This Paper Investigates and estimates the variations of sea surface salinity (SSS) in the Persian Gulf using moderate resolution imaging spectro-radiometer (MODIS) data on the Aqua satellite and the advanced microwave sounding Unit-B (AMSU-B) sensor on the NOAA-16 satellite in order to use remote sensing science for a more efficient and with more time distribution of salinity in the Persian Gulf. In this research a multiple-linear regression model in R software was developed using the data of MODIS and AMSU-B sensors. The data were obtained during a period of one year and fed to the R software. After processing the data in the R software, the correlation coefficient (R2) for salinity was calculated between field data and MODIS and AMSU-B sensors data. The correlation coefficients for MODIS and AMSU-B sensors were 0. 86 and 0. 85, respectively. Also, root mean square error (RMSE) between satellite data and in Situ data for salinity using MODIS and AMSU-B sensors were 0. 62 Psu and 0. 07 Psu respectively. The results show the accuracy of sensors for determining the sea surface salinity pattern in this study.

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    APA: Copy

    Dabestani, Maryam, MOHAMMAD MAHDIZADEH, MAHDI, Gheybi, Abualhasan, & AZIZPOUR, JAFAR. (2018). Investigation of Sea Surface Salinity in the Persian Gulf Using Data of MODIS and AMSU-B Sensors. HYDROPHYSICS, 4(1 ), 95-104. SID. https://sid.ir/paper/264865/en

    Vancouver: Copy

    Dabestani Maryam, MOHAMMAD MAHDIZADEH MAHDI, Gheybi Abualhasan, AZIZPOUR JAFAR. Investigation of Sea Surface Salinity in the Persian Gulf Using Data of MODIS and AMSU-B Sensors. HYDROPHYSICS[Internet]. 2018;4(1 ):95-104. Available from: https://sid.ir/paper/264865/en

    IEEE: Copy

    Maryam Dabestani, MAHDI MOHAMMAD MAHDIZADEH, Abualhasan Gheybi, and JAFAR AZIZPOUR, “Investigation of Sea Surface Salinity in the Persian Gulf Using Data of MODIS and AMSU-B Sensors,” HYDROPHYSICS, vol. 4, no. 1 , pp. 95–104, 2018, [Online]. Available: https://sid.ir/paper/264865/en

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