PROGRESS IN GEOGRAPHY ›› 2005, Vol. 24 ›› Issue (5): 113-120.doi: 10.11820/dlkxjz.2005.05.013

• Original Articles • Previous Articles     Next Articles

Research on The Information Extraction and Dynamic Change of Urban and Rural Residential Areas of LongKou City

ZHANG Anding, YI Huapeng, WANG Zhoulong, LI Deyi   

  1. YanTai Normal University, Yantai, 264025
  • Received:2005-04-01 Revised:2005-07-01 Online:2005-09-25 Published:2005-09-25

Abstract:

By taking Longkou city of Shandong byland as a study area,the extraction of urban and rural residential information from topographic map in 1983 and TM images in 1992 and 2002 is discussed. Firstly,the characteristics of urban and rural residential areas in this area on the image are studied. Secondly, spectral characteristics of urban and rural residential areas and other land-use types are analyzed to find the possibility of urban and rural residential areas and the background according to the spectral characteristics. Thirdly, a simple model of decision tree to extract urban and rural residential information is proposed on the basis of spectral characteristics and shape characteristics. In the end,the dynamic change characters of urban and rural residential areas of Longkou city in nearly twenty years were analyzed. The study indicates that the driving force to the urban and rural residential area expansion in Longkou city was the rapid industry development. The urban and rural residential information shows remarkable changes in recent 20 years, and its total area got two times increase. In the first ten-year period, its urban resident quantity grew rapidly, and urban area had relatively notable expansion. After 1992, however, the increase of urban resident quantity slow down, while the urban area expansion speed kept higher. The overall development pattern indicates that the urban & rural resident in Longkou City shows evident tendency of urbanization and rural-town mergence.

Key words: dynamic change, information extraction, TM images, urban and rural residential area