%0 Dataset
%T Yearly Maximum NDVI dataset with 30 m spatial resolution in the Qilian Mountains from 1986 to 2019 used the surface reflectance collections of Landsat 5 TM, 7 ETM+ and 8 OLI
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/a9f71fb8-1b0a-4607-9526-88930d04d134
%W NCDC
%R 10.12072/ncdc.qlsst.db0009.2020
%A Zhang Jutao
%A Zhang Chengqi
%A Feng qi
%A Zhu Meng
%K MOD13A2;MODIS;Qilian Mountains;NDVI;Ecological remote sensing
%X Based on remote sensing images from the Landsat 5TM/7ETM+/8OLI surface reflectance set, the LEDAPS and LaSRC algorithms were used for atmospheric radiation correction, and the effects of clouds, snow, and other factors were removed using the CFMASK algorithm. Then, the NDVI values of each image were calculated using the red and near-infrared bands. Finally, the maximum NDVI values of each pixel in the Qilian Mountains region were synthesized from May to September each year. The spatial resolution of this dataset is 30 meters, and one image is synthesized every year. The Landsat 5 NDVI time series is from 1986 to 2011, the Landsat 7 NDVI time series is from 1999 to 2019, and the Landsat 8 NDVI time series is from 2013 to 2019. This dataset is L1 level data and can be used for large-scale comparative analysis of vegetation index time series