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从1981年到2023年在中国的每日无差距规范差异植被指数数据集

Huiwen Li^1,2, Yue Cao³, Jingfeng Xiao⁴

¹Shaanxi Key Laboratory of Qinling Ecological Intelligent Monitoring and Protection, School of Ecology and Environment, Northwestern Polytechnical University, Xi'an, Shaanxi Province, 710129, China.

Scientific data

|May 22, 2024

概括

这项研究为中国从1981年到2023年创建了一个长期,每日,无差距的规范差异植被指数 (NDVI) 数据集. 这一新数据集通过填补现有植被指数数据的空白,显著改善了地球观测.

科学领域:

地球系统科学地球系统科学
遥感遥感遥感遥感
环境监测环境监测

背景情况:

每日规范差异植被指数 (NDVI) 对地球观测至关重要.
现有的每日NDVI数据集存在严重的数据缺口和污染.
为了进行全面的环境分析,需要准确的,没有差距的植被数据.

研究的目的:

为中国开发一个长期 (1981-2023年) 的,每日,无差距的NDVI数据集.
为了解决当前每日NDVI数据质量和可用性的局限性.
为改善中国的地球系统观测提供可靠的数据集.

主要方法:

结合有效数据识别与时空序列填空技术.
使用国家海洋和大气管理局 (NOAA) 的每日NDVI数据集作为基础.
开发了每天0.05°分辨率的无差距的NDVI数据集.

主要成果:

生成的NDVI数据集与原始有效数据达成超过99.91%的一致性 (R2 = 0.79,RMSE = 0.05).
与MODIS每日缺口填充的NDVI (PB=7.54%,RMSE=0.1) 和每月的NDVI数据集 (GIMMS3g,MODIS MOD13C2,SPOT/PROBA) 显示强烈一致.
这代表了中国第一个长期的每日无差距的NDVI数据集.

结论:

开发的数据集为中国提供了高质量,无差距的每日NDVI记录,涵盖了40多年的时间.
这一数据集显著提高了植被指数数据对地球系统研究的可靠性和实用性.
它是中国生态研究,气候变化监测和土地管理的宝贵资源.

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