• DocumentCode
    2708490
  • Title

    Comparative study on landscape construction and its dynamic of typical city areas in Mongolia Plateau and Transbaikal region: A case study of Ulaanbaatar, Mongolia and Ulan-Ude, Russia

  • Author

    Zhu, Lijun ; Wang, Juanle ; Beshentsev, A.

  • Author_Institution
    State Key Lab. of Resources & Environ. Inf. Syst., Chinese Acad. of Sci., Beijing, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Ulaanbaatar in Mongolia and Ulan-Ude in Russia are typical cities in northern Mongolian Plateau. Based on Landsat TM/ETM+ remote sensing interpretation, land use information of the two cities in 1990 and 2000 was extracted. The two cities landscape pattern and its dynamic change were compared according to series landscape and land use parameters, such as Patch Density, Mean Patch Fractal Dimension, land use conversion matrix, land use change ratio and dynamic degree and so on. The main conclusions are listed as follow: The landscape fragment degree of Ulaanbaatar is less than Ulan-Ude in the 1990s, and became larger in 2000s. The landscape patch shape of Ulaanbaatar is simpler and much more regular than Ulan-Ude in study period, as well as the dynamic change in this decade. This result shows that the land system of Ulaanbaatar is disturbed by human activities more intensively than that of Ulan-Ude.
  • Keywords
    fractals; remote sensing; terrain mapping; Landsat ETM+ remote sensing interpretation; Russia; Transbaikal region; Ulaanbaatar; Ulan-Ude; city areas; human activities; land system; land use change ratio; land use conversion matrix; land use information; land use parameters; landscape construction; landscape patch shape; landscape pattern; mean patch fractal dimension; northern Mongolian Plateau; patch density; Dynamic degree; Landscape index; Ulaanbaatar; Ulan-Ude;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2011 19th International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2161-024X
  • Print_ISBN
    978-1-61284-849-5
  • Type

    conf

  • DOI
    10.1109/GeoInformatics.2011.5980826
  • Filename
    5980826