جستجوی مقالات مرتبط با کلیدواژه "داده های سنجنده گمانه زن مایکروویو پیشرفته واحدb" در نشریات گروه "فیزیک"

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.