1986-2020年呼伦湖夏季TSI数据集

A dataset of the TSI of Hulun Lake in summer,1986–2020

卡尔森营养状态指数(Trophic state index,TSI)是表征水体营养状态最直接有效的指数之一。TSI长时间序列数据对湖泊的水质动态监测具有重要指示意义。本数据集以Landsat TM/ETM+/OLI为数据源,构建了藻类生物量指数(Algal biomass index,ABI)以探究其对TSI的响应规律,估算了呼伦湖1986–2020共35年的TSI时间序列,并制成夏季TSI均值空间分布图,以体现呼伦湖夏季TSI西南高、东北低,近岸高、湖心低的空间分布规律。为确保研究结果的可靠性和准确性,对比了基于OLI得出的TSI和实测遥感反射比得出的TSI。结果表明,二者的均方根误差(Root Mean Square Error,RMSE)<2.39,平均绝对百分比误差(Mean Absolute Percentage Error,MAPE)<3.53%。本数据集的格式为*.tif,空间分辨率为30 m,用户可以使用专业的GIS软件进行查看和编辑,也可以使用python或R语言的相关package进行二次处理。本数据集所反映的TSI时空变化特征可为呼伦湖地区的水质监测和生态保护提供有效的数据支持。

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.