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Proceedings Paper

Research on regional land cover mapping of the Yangtze River Delta using MODIS 250m data
Author(s): Yongming Xu; Ming Wei; Yonghong Liu; Jingjing Lv
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Paper Abstract

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.

Paper Details

Date Published: 14 November 2007
PDF: 7 pages
Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67901Q (14 November 2007); doi: 10.1117/12.749294
Show Author Affiliations
Yongming Xu, Nanjing Univ. of Information Science and Technology (China)
Nanjing Univ. (China)
Ming Wei, Nanjing Univ. of Information Science and Technology (China)
Yonghong Liu, Beijing Meteorological Bureau (China)
Jingjing Lv, Nanjing Univ. of Information Science and Technology (China)


Published in SPIE Proceedings Vol. 6790:
MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications

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