• DocumentCode
    2711573
  • Title

    Land use changes in Baishan city of Jilin province, China based on temporal trajectory analysis method

  • Author

    Zhang, Xuemin ; Huang, Fang ; Deng, Fanshuang

  • Author_Institution
    Sch. of Urban & Environ. Sci., Northeast Normal Univ., Changchun, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Land use/cover change which is one of the most sensitive indicators that echo the interactions between human activities and natural environment, has become a core issue in the global environmental change and sustainable development disciplines. In this study, we applied temporal trajectory analysis method to detect land use/cover changes in Baishan city. The available satellite imageries are Landsat TM/ETM+ images covered the study area in 1986-2006. All trajectories were classified into three types, namely, unchanged, human-induced changes, natural changes. The results show that: human-induced changes have reached 88.33% in all changed classes in Baishan city during past 20 years. Grassland→Unused land→Unused land, Cropland→Cropland→Water body, Grassland→Grassland→Water body are typical natural changes trajectories, while Forest→Forest→Cropland, Cropland→Cropland→Residential/Construction land, Forest→Forest→Unused land, Forest→Grassland→Grassland are typical human-induced changes trajectories. The study can provide basic data of land resources and help to understand the human impact on the temperate forest ecosystem better.
  • Keywords
    ecology; land use planning; terrain mapping; AD 1986 to 2006; Baishan City; China; Jilin Province; Landsat TM/ETM+ images; construction land; cropland; ecosystem; forest; grassland; land cover change; laud use change; residential land; temporal trajectory analysis; unused land; Baishan city; dynamic changes; human factors; land use/cover; temporal trajectory analysis;
  • 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.2011.5981014
  • Filename
    5981014