• DocumentCode
    2706410
  • Title

    Spatio-temporal analysis of urban built-up area extension in Yantai City based on multi-source remote sensing images

  • Author

    Wu, Mengquan ; Wang, Jingpu ; Wang, Xia ; Sun, Xibing

  • Author_Institution
    Geogr. Sch., Ludong Univ., Yantai, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The expansion of urban land is the most significant part of the land use / land cover changes (LUCC). This paper will study the expansion of built-up area of Yantai City and analyze which reasons drive mechanism and other related issues. Based on the multi-temporal satellite remote sensing images (including TM and SPOT) of Yantai, through GIS technology, and combined with land-use change in recent years, we reveal that Yantai´s built-up area extends about 267 square kilometers in 1992-2004 years, in which residents building area, traffic area and mining land area have a significant increase, forest and river area although slightly increases, and cultivated land, water and other land area was decreased. The reasons come from economic development, population growth, traffic development, industry structure and government policies.
  • Keywords
    geographic information systems; geophysical image processing; land use planning; terrain mapping; GIS technology; Yantai city; building area; economic development; forest area; government policy; industry structure; land cover change; land-use change; mining land area; multisource remote sensing image; multitemporal satellite remote sensing image; population growth; river area; spatio-temporal analysis; traffic area; traffic development; urban built-up area extension; urban land; Cities and towns; Economics; Indexes; Industries; Remote sensing; Satellites; Sea measurements; SPOT5; Spatio-temporal; TM images; Yantai; remote sensed monitoring; uilt-up area;
  • 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.2011.5980720
  • Filename
    5980720