• DocumentCode
    2452091
  • Title

    Analysis of the landscape pattern in eastern edge of Pearl River Delta based on the Object-oriented classification method: A case study of Huicheng District, Huizhou City

  • Author

    Zhang, Xiaolin ; Chen, Jianfei

  • Author_Institution
    Sch. of Geogr. Sci., Guangzhou Univ., Guangzhou, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    2912
  • Lastpage
    2915
  • Abstract
    Based on SPOT5 remote sensing image in 2008, the landuse landscape map of Huicheng Destrict was made by manual and Object-oriented Classification interpretations with ENVI and ArcGIS software. Through the calculation of landscape metrics, the formation of landuse landscape pattern in Huicheng, which as a case of outer area of Pearl River Delta, was analyzed quantitatively. The results indicated that connectivity of the landuse landscape pattern was stronger; diversity and evenness indices both were higher. Due to the human impacts, however, the landscape shape was more complicated and the stability was not good enough; the fragmentation degree differed greatly in every landuse types. In order to improve stability and adaptability of the landscape and realize the sustainable use of land resources, some countermeasures were put forward as the following: constructing the landscape pattern of the sustainable agriculture, using the planning measures, adjusting the vegetation structure, taking advantage of the tourism resource, and so on.
  • Keywords
    geographic information systems; geophysics computing; land use planning; object-oriented methods; vegetation; ArcGIS software; ENVI software; Huicheng District; Pearl River Delta; SPOT5 remote sensing image; eastern edge; human impact; landuse landscape map; landuse landscape pattern; object-oriented classification method; sustainable agriculture; tourism resource; vegetation structure; Business; Cities and towns; Indexes; Measurement; Remote sensing; Rivers; Shape; Huicheng District; Landscape metrics; Landscape pattern; Object-oriented classification; SPOT5 images;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-9172-8
  • Type

    conf

  • DOI
    10.1109/RSETE.2011.5964923
  • Filename
    5964923