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 data set is based on SPOT/VEGETATION NDVI satellite remote sensing data of continuous time series, and the annual vegetation index data set since 1998 is generated by using the maximum synthesis method. This data set effectively reflects the distribution and change of vegetation cover in the region 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: the dataset is stored in Geotiff format, and the file name is''NDVI_ yyyy. tif ", where yyyy represents the year.
Data reading mode: ArcGIS, ENVI, etc. can read.
Xu, X. (2022). 1km NDVI dataset of Chengdu-Chongqing economic circle, China (1998-2018). Upper Yangtze River Scientific Data Center, DOI: 10.12078/2018060601. (Download the reference：
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