Abstract
Water clarity is a significant parameter for evaluating the water quality of lakes. Monitoring the long-term temporal and spatial changes of water clarity of lakes can provides valuable insights for evaluating water quality and eutrophication status of water bodies, as well as guiding lake environmental management and ecological restoration. With MODIS Terra satellite images, we excluded the influence of cloud cover and other interference factors to evaluate the water clarity (i.e. Secchi disk depth), and finally produced a dataset of water clarity of Hulun Lake from 2000 to 2019. It has been validated that the coefficient of determination of the dataset is 0.8, and the root mean squared error is 21.27cm, indicating its accuracy in meeting the monitoring requirements. This data set is expected to serve as a valuable resource for remote sensing-based water quality monitoring and environmental governance of Hulun Lake at a scale of long time series.
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