چكيده به لاتين
Earth surface temperatures include soil, water, snow, and vegetation are variables that are used in a wide range of environmental science studies and researches, and generally a large variety of such informations are required in projects. Remote sensing technology enables simultaneous spatial monitoring of this quantity on a large scale and the time series of images constitute the continuous temporal-spatial body of this variable. One of the most important topics in determining temperature is oceanography, where water temperature is one of the most important topics in this kind of researches. Determining the water surface temperature in closed environments such as lakes and estuaries is very important because of the closed ecosystem of these environments, requires a great deal of environmental monitoring and control. Considering the increasing of number of marine pollutants such as hot water discharge of power plants, the issue of controlling and investigating water surface temperature is an important issue in the field of environment. Therefore, in this study, it has been attempted to investigate the temperature of Musa estuary surface using remote sensing images such as Modis satellite. For this Matter, Software: ENVI 5.3 for preprocessing rectifications, Post-Processing thermal band images 31& 32, and to calculate Water surface temperature & Water tidal height, Software: SPSS for statistical calculations and Software: ARC GIS 10.5 for terrestrial analysis and mapping, has been used. Terrestrial data from the Imam Khomeini Port has also been used to check the accuracy of MODIS satellite images in order to check the water surface temperature and determining the most appropriate regression equation in (Log Ratio) algorithm to calculate the tidal height of water.
The statistical coefficient of Pearson regression and linear regression were used in order to estimate the accuracy of calculated water surface temperature, using the ground data. The equation for calculating the water tidal height was obtained using linear correlations between ground data and water tidal height and the corresponding values of the pixel value of (Log Ratio) algorithm.
In this study, R²=0.89 was obtained for the accuracy in water tidal height.
The results of calculating the water surface temperature and their connection with the tide, indicate that, in a region, in the mornings when the water is at its highest level (high tide), the depth is greater and the temperature lower than when the water is at its lowest level (low tide). Therefore, increasing depth, decreases the temperature and vice versa. Also in this study, the amount of water turbidity, chlorophyll A concentration, the amount of solar energy reaching the water surface and the volume of salt mass in water (salinity) were investigated and R²=0.69 was obtained for the level of the salt mass volume accuracy measured with terrestrial data.
