Analysis on Urban Sprawl and Landcover Change Using TM, ETM+ and GIS

  • Xiao, Jieying (Center of Environment Remote sensing, Chiba University) ;
  • Ryutaro, Tateishi (Center of Environment Remote sensing, Chiba University) ;
  • Shen, Yanjun (Center of Environment Remote sensing, Chiba University) ;
  • Ge, Jingfeng (Institute of Natural Resources and Environmental Science, Hebei Normal University) ;
  • Liang, Yanqing (Institute of Natural Resources and Environmental Science, Hebei Normal University) ;
  • Chang, Chunping (Institute of Natural Resources and Environmental Science, Hebei Normal University)
  • Published : 2003.11.03

Abstract

This study explores the temporal and spatial features near 67years (1934 ?2001) and landcover change in last 14 years (1987-2001) in Shijiazhuang, China, based on 67-year time series data edited from historical maps, TM and ETM+ imageries by integrating GIS and remote sensing method. An index named Annual Growth Rate (AGR) is used to analyze the spatial features of urban sprawl, and Maximum Likelihood classification method is utilized to detect the land cover types change. At last, the relationship between urbanization and factors is analyzed.

Keywords