Dataset of the yearly Eco-Environmental Quality in the Yellow River Basin

In this study, we constructed a modified Remote Sensing Ecological Index (MRSEI) to investigate the spatiotemporal dynamics of ecological quality in the YRB from 2004 to 2023. Furthermore, we incorporated the Aridity Index (AI) and examined correlations between temperature, AI, and MRSEI using the Pearson correlation analysis. Finally, land cover type conversion was employed to interpret ecological variations detected by the MRSEI dynamic ratio. Regarding data files and contents: The AI compressed file contains the dataset of surface dryness/wetness conditions (AI index) in the Yellow River Basin from 2004 to 2023. The CLCD compressed file contains the land use type datasets for the years 2004, 2013, 2014, and 2023. The RSEI compressed file contains the dataset of ecological quality conditions in the Yellow River Basin from 2004 to 2023. The TEMP compressed file contains the dataset of land surface temperature in the Yellow River Basin from 2004 to 2023. 关键词:本研究构建了改进型遥感生态指数（Modified Remote Sensing Ecological Index, MRSEI），以探究2004—2023年黄河流域（Yellow River Basin, YRB）的生态质量时空动态变化。此外，本研究引入干旱指数（Aridity Index, AI），并采用皮尔逊相关分析检验气温、AI与MRSEI三者间的相关性。最后，通过土地覆被类型转换方法，阐释MRSEI动态比值所揭示的生态质量变化。 关于数据集文件及内容： AI压缩文件包含2004—2023年黄河流域地表干湿状况（干旱指数，AI）数据集。 CLCD压缩文件包含2004、2013、2014及2023年的土地利用类型数据集。 RSEI压缩文件包含2004—2023年黄河流域生态质量状况数据集。 TEMP压缩文件包含2004—2023年黄河流域地表温度数据集。 关键词：