Response of spatial and temporal evolution of NDVI of vegetation with different land uses to climate change from 2001 to 2022-The case of Shanxi Province

本研究基于2001—2022年土地利用资料、气象台站资料和NDVI数据，采用土地转移矩阵、趋势分析和偏相关分析等方法，探讨了山西省不同土地利用条件下植被NDVI的时空变化及其对气候因子的响应机制。土地利用数据来源于中国科学院资源与环境科学数据中心（CNLUCC，http://www.resdc.cn）中国多时期土地利用和土地覆被遥感监测数据集，分辨率为1km。来自NASA（NASA，https://ladsweb.modaps.eosdis.nasa.gov）的NDVI数据，分辨率为250 m。140个气象站的数据来自山西省气象局，分辨率为1km。

This study, based on land use data, meteorological station data, and NDVI data from 2001 to 2022, employs methods such as land transfer matrix, trend analysis, and partial correlation analysis to explore the spatiotemporal variations of vegetation NDVI under different land use conditions in Shanxi Province and its response mechanism to climatic factors. Land use data were obtained from the China Multi-period Land Use and Land Cover Remote Sensing Monitoring Dataset of the Resource and Environment Science Data Center of the Chinese Academy of Sciences (CNLUCC, http://www.resdc.cn) with a resolution of 1 km. NDVI data were from NASA (NASA, https://ladsweb.modaps.eosdis.nasa.gov) with a resolution of 250 m. Data from 140 meteorological stations were obtained from the Shanxi Provincial Meteorological Bureau with a resolution of 1 km.