%0 Dataset
%T Annual maximum NDVI dataset with 30m resolution synthesized from Landsat 5TM/7ETM+/8OLI images in the Qilian Mountains region (1986-2019)
%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 the Landsat 5TM/7ETM+/8OLI surface reflectance collection of remote sensing images, LEDAPS and LaSRC algorithms were used for atmospheric radiation correction, and the effects of clouds, snow, etc. were removed by CFMASK algorithm. Then, the NDVI values of each image were calculated using the red and near-infrared bands, and finally the maximum NDVI value of each pixel in the Qilian Mountains area was synthesized from May to September each year. This dataset has a spatial resolution of 30 meters and synthesizes one image per 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 vegetation index time series comparative analysis.