• DocumentCode
    2319932
  • Title

    Fractal cities study based on Remote Sensing images: —Take Huai´an, Jiangsu Province for example

  • Author

    Gang, Tao ; Tianhe, Chi

  • Author_Institution
    Inst. of Remote Sensing Applic., Chinese Acad. of Sci., Beijing, China
  • fYear
    2009
  • fDate
    20-22 May 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Fractal theory promoted by the famous scientist Mandelbrot is widely used to research the fragment and irregular phenomena. Many urban geographers apply the fractal theory in the urban research. According to this, our researches utilize the fractal theory to Remote Sensing images to study the development of the city of Huai´an in Jiangsu Province. Firstly, we chooses the LandSat TM and ETM images in 1988 and 2000 as the main data sources. Then box-counting method is utilized to calculate the city´s vector data and Peleg Double Blanket Method is used to get the fractal dimension of the city´s image data. As we expected, the fractal dimension value become larger in 2000 compared with in 1988 which indicates that the city´s structure needs to be changed exigently at that time. At last, the authors conclude the regularity between urbanization and fractal transformation and suggest some advices for the small city´s development.
  • Keywords
    fractals; geophysical techniques; remote sensing; AD 1988; AD 2000; China; ETM image; Huai´an city; Jiangsu Province; LandSat TM image; LandSat thematic mapper; Peleg Double Blanket Method; box-counting method; city image data; city vector data; enhanced thematic mapper; fractal city; fractal theory; fractal transformation; remote sensing image; urbanization; Cities and towns; Fractals; Geography; Pattern analysis; Remote sensing; Satellites; Shape; Telecommunication traffic; Traffic control; Urban planning; Huai´an; Remote Sensing; fractal; urbanization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Urban Remote Sensing Event, 2009 Joint
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3460-2
  • Electronic_ISBN
    978-1-4244-3461-9
  • Type

    conf

  • DOI
    10.1109/URS.2009.5137557
  • Filename
    5137557