Spatiotemporal Dynamics of Ndvi and Land Use in China Based on Remote Sensing Images

Using the fuzzy rule-based classification method, seventeen phases of NDVI (Normalized Difference Vegetation Index) images acquired from 1982 to 1998 were classified respectively based on NDVI and climate images. And then, spatiotemporal dynamics of NDVI and land use are described. Finally, this paper analyzes NDVI trends and their relationships with climate and human activity under the land cover scenario. The results indicate that at the national scale, the increases of monthly and seasonal NDVI correspond mainly to climate changes. But NDVI trends show a large spatial and temporal heterogeneity at the regional scale corresponding mainly to human activities, besides some sensitive areas with climate changes. Therefore it is necessary to establish a set of policies to ensure the ecological conservation and restoration, especially in ecological sensitivity areas.