The NDVI (Normalized Difference Vegetation Index) can accurately reflect the surface vegetation coverage. At present, NDVI time series data based on SPOT/VEGETATION and MODIS satellite remote sensing images have been widely used in the research of vegetation dynamic change monitoring, land use/cover change detection, macro vegetation cover classification and net primary productivity estimation at various scales.
The spatial distribution data set of China's annual vegetation index (NDVI) (1998-2015, year by year, 1km) is the annual vegetation index data set since 1998 generated by the maximum value synthesis method based on SPOT/VEGETATION NDVI satellite remote sensing data of continuous time series. This data set effectively reflects the distribution and change of vegetation cover in various regions of the country on the spatial and temporal scales, and has a very important reference significance for monitoring vegetation change, rational utilization of vegetation resources, and research in other ecological environment related fields.
File name: China's annual vegetation index (NDVI) spatial distribution data set is stored in rar format, and the file name is "yyyy. rar", where yyyy represents the year, for example, 2015.rar represents the rar file describing China's annual vegetation index (NDVI) spatial distribution data set in 2015. Data reading method: All shp files in the dataset can be opened directly with Arcgis.
Xu, X. (2022). Spatial Distribution Data Set of 1km-resolution Annual NDVI in China (1998-2015). Upper Yangtze River Scientific Data Center, DOI: 10.12078/2018060601. (Download the reference：
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| East: 135.05 | West: 73.33 |
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| South: 3.51 | North: 53.33 |
