%0 Dataset
%T Gansu Province MOD13A2 Normalized Vegetation Index (NDVI) Dataset (2018-2022)
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/1546f7cb-af61-4af2-b6c4-443d3f0fd78a
%W NCDC
%R 10.12072/ncdc.gseer.db4129.2023
%A Zhang Yaonan
%K Vegetation index;vegetation coverage;projection transformation;plant canopy;crop growth
%X The vegetation index mainly reflects the difference between vegetation reflection in visible and near-infrared bands and soil background. Under certain conditions, each vegetation index can be used to quantitatively indicate the growth status of vegetation. At present, Normalized Difference Vegetation Index (NDVI) is an important data source for detecting vegetation growth status, vegetation coverage, and eliminating some radiation errors.  NDVI can reflect the background influence of plant canopy, such as soil, moist ground, snow, dead leaves, roughness, etc., and is related to vegetation cover. It is one of the important parameters reflecting the growth and nutritional information of crops. Based on this parameter, the nitrogen requirements of crops in different seasons can be determined, which plays an important guiding role in the rational application of nitrogen fertilizers.  Based on the MODIS MOD13A2 dataset, segmented images covering Gansu Province will be processed using MRT tools and Python language code for batch stitching, projection conversion, cropping, etc., to generate MODIS MOD13A2 NDVI data for Gansu Province from 2018 to 2022. The spatial resolution of this dataset is 1km, and the temporal resolution is 16 days.