In water resources management, remote sensing data and techniques are essential in watershed characterization and monitoring, especially when no data are available. Water quality is usually assessed through in-situ measurements which require high cost and time. Water quality parameters help in decision making regarding the further use of water-based on its quality. Turbidity is an important water quality parameter and an indicator of water pollution. In the past few decades, remote sensing has been widely used in water quality research.
In this study, we compare turbidity parameters retrieved from high-resolution image with in-situ measurements collected from Borabey Lake, Turkey. Here the use of RapidEye-3 images (5 m-resolution) allows for a detailed assessment of spatio-temporal evaluation of turbidity, through the Normalized Difference Turbidity Index (NDTI). The turbidity results were then compared with data from twenty-one in-situ measurements collected at the same period. The actual water turbidity measurements showed high correlation with the estimated NDTI mean values with an R2 of 0.84. The research findings support the use of remote sensing data of RadipEye-3 to estimate water quality parameters in small water areas. For future studies, we recommend investigating different water quality parameters using high-resolution remote sensing data.