• DocumentCode
    2879254
  • Title

    Lianyungang Urban Expansion Model Analysis Based on Remote Sensing and Geographical Information System

  • Author

    Xia Lu ; Hongquan Xie

  • Author_Institution
    Sch. of Geodesy & Geomatics Eng., Huaihai Inst. of Technol., Lianyungang, China
  • fYear
    2012
  • fDate
    1-3 June 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Multi-temporal remote sensing data were taken as data source, land use/ land cover change during the process of urban expansion was extracted by supervise method. On this basis, temporal and spatial variation rules for typical urban land were analyzed in detail and urban expansion model was discussed by visual interpretation method. Researches were indicated that the expansion speed of salt fields and aquiculture regions were the quickest during about ten years, while the total area of farmland in 2009 was larger than that in 2002. On the other hand, urban expansion model was concluded: in Xinpu district, axial direction banding and low density sprawl were the main model of urban expansion; in Donghai county, reticulation expansion and skipping expansion were the main expansion model. While, axial direction banding and round-sprawl in Ganyu county, axial direction banding and reticulation expansion in Guanyun county, and axial direction banding and round-sprawl and skipping expansion in Guannan county. Above analysis is showed that: Land use/ land cover change detection using multi-temporal images by remote sensing (RS) and geographical information system (GIS) technology are one of effective means of analyzing urban expansion.
  • Keywords
    geographic information systems; land use planning; terrain mapping; AD 2009; China; Donghai county; Ganyu county; Lianyungang urban expansion model; Xinpu district; aquiculture regions; axial direction banding; farmland area; geographical information system; land cover change detection; land use change detection; low density sprawl; multitemporal images; multitemporal remote sensing data; reticulation expansion analysis; skipping expansion analysis; spatial variation; temporal variation; urban land analysis; visual interpretation method; Analytical models; Biological system modeling; Earth; Educational institutions; Remote sensing; Satellites; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Remote Sensing, Environment and Transportation Engineering (RSETE), 2012 2nd International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4673-0872-4
  • Type

    conf

  • DOI
    10.1109/RSETE.2012.6260616
  • Filename
    6260616