Abstract:?The Yellow River Basin (YRB) is a significant ecological barrier region in China and plays a pivotal role in the economic and social development as well as the ecological security. In view of assessing the status of regional ecological restoration and revealing the impacts of climate change and human activities on ecosystems, the spatiotemporal patterns and trends of vegetation dynamics are imperative indicators. Based on the MODIS vegetation index product (MOD13Q1, C6), we generate a dataset of spatiotemporal variations of vegetation NDVI and EVI in the growing season over the YRB from 2000 to 2020, with a resolution of 250 m. The dataset is obtained using approaches including projection, mosaicking, clipping, maximum value composites, non-parametric Theil–Sen estimator and Mann–Kendall significance test, and coefficient of variation. In addition, the dataset contains information on the time series change trends and volatility characteristics of both NDVI and EVI in the YRB during past 21 years. This datasets is expected to provide an important reference for in-depth understanding the past, present, and future evolution of vegetation ecosystem in the YRB under the background of global change.
Keywords:?Yellow River Basin;?vegetation index;?Mann-Kendall test;?coefficient of variation;?growing season