During the last two decades, the Yangtze River Delta, one of the most economically developed areas of China,
experienced rapid urban expansion, and accordingly, masses of cropland have been converted into human buildings. To
analyze the influence of landscape change, it is important to provide up-to-date land cover information of this area. This
paper describes the development of Land cover map of the Yangtze River Delta using 250m MODIS data, and the main
satellite data used in this study were MODIS EVI data, MODIS reflectance data and DEM. A filter method based on
time series was applied to eliminate EVI noise, and a PCA analysis was performed to reduce the volume of data. Besides,
homogeneity was calculated to present spatial texture information. Therefore, a compositive classification matrix was
generated. Considering the natural and artificial conditions of the study area, a 9-type classification scheme was defined.
ROIs (Region of Interest) were selected from Landsat ETM+ images by human interpretation consulting the Vegetation
Atlas of China. Then the land cover map was generated using MLC method. After correction by buffering analysis, we
got the final land cover classification of the Yangtze River Delta. The classification accuracy was assessed using fineresolution
Landsat images, with an overall accuracy of 95.98%. In addition, our classification result was compared with
the MODIS-IGBP land cover production and showed better accuracy. The good result indicated the good behavior of the
synthetic classification features and technical processing used in our research, and also suggested the advantage of 250m
MODIS data in regional land cover mapping.