%0 Dataset
%T Spatial Distribution Pattern of NDVI and Its Influencing Factors in Xinjiang from 2000 to 2021
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/9bdd5cb6-198c-4470-bae9-070115e9a73b
%W NCDC
%R 10.57760/sciencedb.agriculture.00139
%A Sun Wei
%K Vegetation cover;Xinjiang;NDVI;2000-2021
%X The material and energy cycle of terrestrial ecosystems cannot be separated from vegetation, and changes in vegetation cover have a profound impact on the ecological environment. Current research mostly focuses on the response analysis of NDVI to climate factors and human factors, without considering the influence of nonlinear factors such as topography, soil characteristics, etc. Therefore, the monitoring of vegetation cover changes and the response of their influencing factors are of great significance in the study of terrestrial ecosystems. The Xinjiang NDVI spatial distribution pattern and its influencing factors dataset from 2000 to 2021 was obtained based on the GEE platform using MODIS remote sensing data and ERA5 Land Monthly Average dataset. The TIF data was processed into numerical data using ArcGIS software, and preprocessed using Python toolkit for cleaning and normalization, resulting in a numerical data set consisting of 14 fields and 2756 data points; Using Kriging interpolation method, the obtained data was spatially interpolated to obtain 13 spatial interpolation maps of influencing factors. This dataset can be used to construct a research model for the relationship between vegetation cover change and its influencing factors in Xinjiang, providing basic data for the impact of different influencing factors on NDVI changes, and further providing scientific basis for agricultural technology and environmental development management in the region.