中国-东盟1km5天分辨率NDVI数据集（2016-2019）

中国-东盟1km分辨率NDVI数据集是在5种1km分辨率卫星遥感数据（Terra/MODIS、Aqua/MODIS、NOAA18/AVHRR、FY3A/VIRR、FY3B/VIRR）基础上，参照标准的MODIS-NDVI合成算法生产的5-day分辨率的数据集。本数据集的合成算法分两步：首先，在5-day合成期内，利用基于带NDVI权重的核系数稳健拟合法，把多源数据按照残差阈值10%、20%和大于20%划分为三个质量等级，其中残差阈值大于20%的三级数据质量最差，不参与合成。然后，根据5-day合成期内各质量等级的有效观测数目，分别采取主算法或备用算法进行NDVI合成，获得了2016-2019年中国-东盟地区时间分辨率为5-day、空间分辨率为1km的NDVI时间序列。在中国黑河流域利用高分辨率ASTER影像，将数据集与标准MODIS NDVI产品进行对比分析。结果表明，基于多源数据集生成的NDVI，与ASTER-NDVI的决定系数R2显著高于基于单源数据集生成的标准MODIS-NDVI。该数据集采用Sinusoidal Tile Grid分幅，每景覆盖的经纬度范围为10°x10°，该数据集存储为*.tif 格式。

The China-ASEAN 1km-resolution NDVI dataset is developed based on five types of 1km-resolution satellite remote sensing data: Terra/MODIS, Aqua/MODIS, NOAA18/AVHRR, FY3A/VIRR, and FY3B/VIRR, and produced with the standard MODIS-NDVI synthesis algorithm to generate a 5-day temporal resolution dataset. The synthesis algorithm of this dataset consists of two steps: First, during the 5-day synthesis period, a robust kernel coefficient fitting method weighted by NDVI is used to classify multi-source data into three quality grades based on residual thresholds of 10%, 20%, and greater than 20%, where the third-grade data with residual threshold exceeding 20% has the poorest quality and is excluded from the synthesis. Then, according to the number of valid observations of each quality grade within the 5-day synthesis period, either the primary algorithm or the backup algorithm is adopted for NDVI synthesis, obtaining NDVI time series of the China-ASEAN region from 2016 to 2019 with a temporal resolution of 5 days and spatial resolution of 1km. Comparative analysis between this dataset and the standard MODIS NDVI product was conducted using high-resolution ASTER images in the Heihe River Basin, China. The results show that the coefficient of determination R² between the NDVI generated from the multi-source dataset and ASTER-NDVI is significantly higher than that of the standard MODIS-NDVI generated from single-source datasets. This dataset adopts the Sinusoidal Tile Grid tiling scheme, with each tile covering a 10°×10° latitude-longitude range, and is stored in *.tif format.

搜集汇总

背景与挑战

背景概述

该数据集是中国与东盟地区2016-2019年的植被指数（NDVI）产品，具有1公里空间分辨率和5天时间分辨率。它基于多源卫星遥感数据合成，通过两步算法处理，包括质量分级和主备算法选择，生成NDVI时间序列。与单源MODIS NDVI产品相比，该数据集在多源数据融合下表现出更高的精度（R2更高），适用于区域植被动态监测和生态环境研究。