Abstract
Lake ice is a sensitive indicator of climate change. Research on the response mechanism between lake ice and climate offer valuable insights into the mechanisms driving global climate change and enhance our ability to predict climate patterns. Using the Landsat surface albedo products, we delineated the boundaries of Lake Selin Co from 2000 to 2021; and by leveraging the MODIS Terra surface reflectance data with a 250 m resolution and daily revisit time, we generated a dataset of lake ice distribution in Lake Selin Co from 2000 to 2021. We selected the results of the freezing period and the complete freezing period respectively, compared them with the visual results to perform accuracy verification and calculate the confusion matrix. The overall accuracy of the user reached 94%, and the Kappa coefficient exceeded 0.89. Continuous monitoring data for lake ice phenology in Selin Co are of great significance for tracking climate change, which help fill gaps in measured data and provide valuable support for related research.
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