Acta Geographica Sinica ›› 2011, Vol. 66 ›› Issue (7): 961-971.doi: 10.11821/xb201107009

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Using ISA to Analyze the Spatial Pattern of Urban Land Cover Change: A Case Study in Shenzhen

LIU Zhenhuan1, WANG Yanglin1, PENG Jian1, XIE Miaomiao2, LI You1   

  1. 1. College of Urban and Environmental Science, Laboratory for Earth Surface Processes, Ministry of Education, Peking University, Beijing 100871, China;
    2. School of Land Science and Technology, China University of Geosciences, Beijing 100083, China
  • Received:2010-12-09 Revised:2011-04-07 Online:2011-07-20 Published:2011-07-20
  • Supported by:

    National Natural Science Foundation of China, No.40635028; No.40801066

Abstract: Based on land cover classification data, there are two key problems that has been often overlooked when we use indices method to analyze the landscape pattern of land cover in rapid urbanization areas. One is mixed pixel involved in the classification process, which has impact on classification accuracy and the final conclusion of landscape pattern analysis. The other is that it is difficult for landscape pattern indices method to detect the change in a pixel and local urban areas, which can only explain the macro regional patterns of urbanization. To solve these problems, based on continuous data, Linear Spectral Method Analysis (LSMA) is used to acquire the index of Impervious Surface Area (ISA) in this case study, considering impervious surface component as the main landscape in urban areas. Thus, we can effectively analyze the spatial pattern and expansion processes of urbanization. Taking Shenzhen as a study area, spatial autocorrelation, semi-variance function and other geo-statistical methods are used to reveal the macro spatial-temporal patterns of a continuous landscape change, and fractal dimension and profile methods are also used to analyze urban landscape along the change direction of location. The results indicated that the continuous landscape metrics and geostatistical methods can help us to understand the spatial and temporal changes of urbanization at regional and local levels, since land cover change, especially in rapid urbanization areas, has a significant gradient characteristic and spatial continuity.

Key words: impervious surface area, linear spectral method analysis, geostastical methods, spatial pattern of urban land cover