Acta Geographica Sinica ›› 2007, Vol. 62 ›› Issue (6): 640-648.doi: 10.11821/xb200706009

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Land Cover Classification of the Yangtze River Delta Using MODIS Data

XU Yongming1, LIU Yonghong2, WEI Ming1, LU Jingjing1   

  1. 1. Sino-America Cooperative Remote Sensing Center, School of Remote Sensing, Nanjing University of Information Science and Technology, Nanjing 210044, China;
    2. Climate Center, Beijing Meteorological Bureau, Beijing 100089, China
  • Received:2006-11-17 Revised:2007-01-17 Online:2007-06-25 Published:2007-06-25
  • Supported by:

    National Natural Science Foundation of China, No.40333027; No.60674074; Scientific Research Foundation of Nanjing University of Information Science and Technology, No.Y653

Abstract:

The Yangtze River Delta is one of the most economically developed regions in China. During the last decade, this area 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 250 m 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 Yangtze River Delta, a classification scheme was defined. ROIs (Region of Interest) were selected from Landsat ETM+ images by human interpretation consulting the 1: 1,000,000 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 fine-resolution 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 classification method and technical processing used in our research, and also suggested the advantage of 250 m MODIS data in regional land cover mapping.

Key words: MODIS, EVI time series, Yangtze River Delta, land cover