%0 Dataset
%T Annual desertification distribution data set of China Pakistan Economic Corridor (2000-2017)
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/0464e947-96a0-452d-903b-a4040d6debba
%W NCDC
%R 10.12072/casnw.046.2018.db
%A Min Yu Fang
%A Kang jianfang
%A Feng keting
%A Ai Minghao
%K Mod13a3;China Pakistan Economic Corridor;albedo surface albedo;DDI desertification difference index;NDVI;desertification distribution;mcd43b3;NDVI albedo feature space
%X Based on MODIS vegetation index mod13a3 and albedo from 2000 to 2017 Mcd43a3 data product is used as data source, the resolution of data is 1km, monthly synthesis, MRT tools are used to perform data splicing, projection conversion and other image processing, and then the regional boundary of China Pakistan Economic Corridor is used to cut Python batch, and the desertification difference index (DDI) is used to evaluate the desertification degree of the China Pakistan Economic Corridor, and the normalized vegetation index (NDVI) and surface albedo (albedo) are used to evaluate the desertification degree of the China Pakistan Economic Corridor ）In order to monitor indicators, by constructing the albedo NDVI feature space and using the negative correlation between albedo and NDVI, the DDI formula was constructed, and the thematic data set of desertification classification of China Pakistan Economic Corridor from 2000 to 2017 was completed, which directly reflected the desertification degree of China Pakistan Economic Corridor and provided reference for quantitative evaluation of desertification severity. The data can provide basic data support for regional scientific research of China Pakistan Economic Corridor.