基于遥感和GIS的中国植被指数变化的驱动因子分析及模型研究

在样带和典型区研究的基础上，采用相关分析和偏相关分析方法，对影响植被指数变化的因子（水、热和地表植被覆盖类型）进行了分析。结果表明：中国植被指数的时空变化极其复杂，虽受水、热和地表植被覆盖类型三个主导因子的影响和控制，但因时和因地而异，三者对植被指数影响和控制的主导地位也因时因地而不同；基于空间上的概念模型Indv=F(x,y,z)只能定性地描述以上三个主导因子时空变化同植被指数的相互关系。

The Study on Driving Factors and Models of NDVI Change Based on Remote Sensing and GIS in China

On the basis of research on sample strips and typical area, the factors of precipitation, temperature and types of land vegetation cover which effect the changes of the normalized difference vegetation index (NDVI) were analyzed by correlation analysis method. The conclusions are that the changes of NDVI are complicated in China, although the changes are controlled by the factors of precipitation, temperature and types of land vegetation cover, but the status of three factors which can control the changes of NDVI is different in different place and at different time, the concept model of three factors (precipitation, temperature and types of land vegetation cover) effecting the changes of NDVI is I ndv = F(x, y, z) , the model describes the relations between the changesof NDVI and three factors from the concept point of view.