1986–2020年呼伦湖夏季TSI数据集

Abstract

The Trophic state index (TSI) stands as one of the most direct and effective indices for characterizing the trophic state of water bodies, and the long-time TSI series data are important for monitoring the dynamic shifts in water quality in lakes. In this dataset, we used Landsat-5 TM, Landsat-7 ETM+ and Landsat-8 OLI as data sources, and crafted an Algal biomass index (ABI) to investigate its responsiveness to TSI. And through rigorous analysis, we estimated the TSI time series of Hulun Lake for 35 years from 1986 to 2020. Furthermore, we generated spatial maps depicting the mean TSI values in summer. The results revealed a distinctive spatial pattern, characterized by elevated TSI levels in the southwestern region and lower levels in the northeast of Hulun Lake during the summer season. Moreover, there was a noticeable discrepancy between the shoreline and the central area of the lake, with higher TSI values near the shore and lower values in the lake's center. To ensure the reliability and accuracy of the results, we compared the TSI derived from the OLI and the TSI based on measured reflectance ratios, which shows that the root mean square error (RMSE) of less than 2.39, and the mean absolute percentage error (MAPE) of less than 3.53%. The dataset is provided in *.tif format with a spatial resolution of 30 m. Users can leverage professional GIS software to view and edit, or use the relevant python packages or R languages for advanced data processing. The spatial and temporal variation characteristics of TSI reflected in this dataset can provide effective data support for water quality monitoring and ecological protection in Hulun Lake area.