• DocumentCode
    3002908
  • Title

    Land Use Changes in Shendong Coal Mining Area

  • Author

    Chen, Guoliang ; Wang, Yunjia

  • Author_Institution
    Key Lab. for Land Environ. & Disaster Monitoring of SBSM, China Univ. of Min. & Technol., Jiangsu Province, China
  • fYear
    2010
  • fDate
    29-31 Oct. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The changing rules of the landscape elements and their distribution in Shendong coal mining area are analyzed by means of remote sensing images obtained in 2002, 2006, 2009. using support vector machine classification method, it can be classified into six land-use types: water bodies, grassland, shrub land, construction land, desert and Saline soil, bare rock and unused land. The following results were obtained: 1) The areas of construction 1and and water body have continually increased from 2002 to 2009; grassland, desert and saline firstly increased and then decreased; on the contrary ,the area of shrub land firstly decreased and then increased; bare rocks and unused land constantly decreased. 2) 2002-2006, Vegetation increased from 48.6% to 56.7%, forest area decreased sharply, while the grassland area increased gradually; 2006-2009,further expansion of vegetation increased from 56.7% to 73.4%, because the structure of vegetation has greatly changed, forest area increased dramatically, while the grassland area decreased. This are shown unstable ecological environment of Shendong area. 3) the total area of desert, saline soil, bare rock, unused land were reduced from 48.2% in 2002 to 39.2% in 2006,even 24.5% in 2009, because Bare rock and unused land decreased, mainly unused land transformed into building land, and bare rock slowly covered by shrub land.
  • Keywords
    geophysical image processing; image classification; support vector machines; terrain mapping; vegetation; AD 2002; AD 2006; AD 2009; China; Shendong coal mining area; bare rock; construction land; desert; grassland; land use changes; land use type; landscape elements; remote sensing images; saline soil; shrub land; support vector machine classification method; unused land; water bodies; Buildings; Fuel processing industries; Remote sensing; Rivers; Soil; Support vector machines; Vegetation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Technology (ICMT), 2010 International Conference on
  • Conference_Location
    Ningbo
  • Print_ISBN
    978-1-4244-7871-2
  • Type

    conf

  • DOI
    10.1109/ICMULT.2010.5631026
  • Filename
    5631026