2000-2024年中国逐年1000米分辨率平均值合成NDVI数据集

1.本数据集基于1000米空间分辨率遥感影像，集成2000年至2024年逐年平均归一化植被指数（NDVI）数据而成。数据制备过程中采用经过大气校正的地表反射率产品，通过标准NDVI计算公式处理生成年度均值，以消除季节波动并凸显植被变化的长期趋势。覆盖全球陆地区域，具备年度时间分辨率和中等空间尺度特征。
2.高校、研究所、企事业单位等科研单位。
3.数据集经过严格的异常值剔除与一致性检验，质量可靠，适用于大尺度植被动态监测、环境变化研究及生态评估等领域，为长期植被变化分析提供了稳定有效的数据基础。

1. This dataset is developed based on remote sensing imagery with 1000-meter spatial resolution, integrating annual average Normalized Difference Vegetation Index (NDVI) data from 2000 to 2024. During the data preparation process, atmospherically corrected surface reflectance products were used, and annual mean values were generated via the standard NDVI calculation formula to eliminate seasonal fluctuations and highlight long-term trends in vegetation changes. It covers global terrestrial areas, featuring annual temporal resolution and medium spatial scale characteristics.
2. This dataset is applicable to research institutions such as universities, research institutes, enterprises and public institutions.
3. The dataset has undergone strict outlier removal and consistency verification, with reliable quality. It is suitable for fields such as large-scale vegetation dynamic monitoring, environmental change research and ecological assessment, providing a stable and effective data foundation for long-term vegetation change analysis.

搜集汇总

背景与挑战

背景概述

该数据集是一个覆盖2000年至2024年、空间分辨率为1000米的逐年平均归一化植被指数（NDVI）数据集，基于MODIS MOD13A2遥感影像通过Google Earth Engine平台处理生成，并经过严格质量控制以消除季节波动和异常值。它提供全国及分省的TIFF格式数据，适用于大尺度植被动态监测、环境变化研究和生态评估等领域，为长期分析提供了即用型的高质量数据基础。