黄河流域250m植被生长季NDVI和EVI变化趋势数据集（2000-2020年）

黄河流域是我国重要的生态屏障区，在经济社会发展和生态安全等方面的作用举足轻重。。该数据集是基于2000-2020年MOD13Q1 C6数据（250m，16d），通过波段提取、投影转换、镶嵌裁剪等预处理，利用最大值合成法、均值法生成逐年生长季NDVI和EVI数据，在此基础上采用Theil-Sen趋势估算与Mann-Kendall显著性检验计算得到的黄河流域过去21年植被NDVI和EVI时间序列在生长季尺度上的变化趋势数据。

The Yellow River Basin is an important ecological barrier in China, playing a pivotal role in economic and social development, ecological security and other critical aspects. This dataset is developed based on MOD13Q1 C6 data (250m spatial resolution, 16-day temporal resolution) from 2000 to 2020. Through preprocessing steps including band extraction, projection transformation, mosaicking and clipping, annual growing-season NDVI and EVI datasets were generated using the Maximum Value Composite (MVC) method and mean value method. On this basis, the trend data of vegetation NDVI and EVI time series over the past 21 years in the Yellow River Basin at the growing-season scale were calculated via Theil-Sen trend estimation and Mann-Kendall significance test.

搜集汇总

背景与挑战

背景概述

该数据集提供了2000-2020年黄河流域植被生长季NDVI和EVI的变化趋势数据，空间分辨率为250m，采用Albers投影和WGS84坐标。数据通过最大值合成法和均值法生成，并结合Theil-Sen趋势估算与Mann-Kendall显著性检验方法，适用于植被动态变化研究。