Investigation of Relationships between Landsat8 and Sentinel2 Sensors and Field Data on the Water Quality Parameters Estimation in Chalous River Estuary

Water quality monitoring through remote sensing involves establishing a reliable relationship between light reflectance (at specific wavelengths of bands) and water parameters collected in situ (Barrett et al, 2016). Estuaries can play an important role in changing the water quality of lakes, and according to studies, satellite images with high spatial resolution (better than 30m) have been used to study water quality. So, in Chalous River estuary has been selected due to its environmental importance in this research, and its qualitative parameters of salinity, temperature and pH have been studied. Also, to achieve these goals Sentinel2 and Landsat8 satellite images are used and the efficiency of these two satellites to determine the relationship between different physical and chemical parameters of water quality evaluated by comparing with the field measurements. Since Sentinel2 multispectral images comprise more bands compared to older multispectral images such as Landsat8, it is worthwhile to evaluate the possibility of evaluating water quality parameters using Sentinel2 multispectral data. In addition, the main mission of Sentinel2 satellite is continuous environmental monitoring, which if the significant relationship between satellite data and seawater quality parameters is proven, many concerns about environmental monitoring will be resolved and the lack of updated imagery data for monitoring changes in seawater quality will be addressed.