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Objectives of this study is to develop an algorithm for estimating water turbidity from Sentinel-2A and Sentinel-2B satellite images by comparing with the surface reflectance and turbidity from an automatic water quality measurement station at the same time and to study the changes in water turbidity from Sentinel-2 satellite images at various times around the river and the Chao Phraya Delta between 18 December 2016 and 28 December 2018. The preliminary data analysis process consists of the atmospheric correction from L1C product data to L2A product data by using Sen2Cor method. The results showed that the relationship between surface reflectance of satellite images and turbidity values from the automatic water quality measurement stations of the Metropolitan Waterworks Authority at Wat Ban Paeng station and Phra Nang Klao Bridge station for several periods by analyzing Linear Regression which has a significant relationship with decision coefficient (R2) of 0.87. The red wavelengths (band 4) used in the development of the algorithm for estimating the turbidity of water. For changing the turbidity values of various periods from satellite, images can be used as a tool for evaluating and tracking the spatial turbidity changes in each period. This can be used to assess the primary physical water quality before entering the tap water production system including areas that may be affected, such as aquaculture, etc. in the study area efficiently.
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