• DocumentCode
    2458056
  • Title

    Extraction of land cover information based on decision tree method: A case of Wuxi and Changzhou city, China

  • Author

    Fu, Yu ; Wei, Yuchun ; Cheng, Chunmei ; Zhou, Yu ; Wang, Lei

  • Author_Institution
    Key Lab. of Virtual Geographic Environ., Nanjing Normal Univ., Nanjing, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    4054
  • Lastpage
    4057
  • Abstract
    Based on the Landsat-5 TM image of May, 4 and January, 12 in 1997, this paper extracts the land cover information in Wuxi and Changzhou city which is belong to the heavily polluted area of Taihu Lake, China. Firstly, the paper collected and analyzed the spectral characteristics of main land cover type, and then determined the main indexes used in decision tree combining with the characteristics of topography. The main indexes are MNDWI, NDVI, NDBI-NDVI, TM1+TM2, TM5-TM4, TM2+TM3, K-T transformation, and slope. This paper shows that the overall accuracy of main land cover types reaches 85.21%. The area proportion of dry farm, tea plantation, waters, garden, paddy field, forest, construction land and other land is 7%, 1%, 24%, 1%, 34%, 7% 17% and 9%, respectively. The relative high error occurred in between garden and forest because their similar spectral and growth characteristics.
  • Keywords
    geographic information systems; lakes; terrain mapping; topography (Earth); vegetation; vegetation mapping; AD 1997 01 12; AD 1997 05 04; Changzhou City; China; K-T transformation; Landsat-5 TM image; MNDWI index; NDBI-NDVI index; TM1+TM2 index; TM2+TM3 index; TM5-TM4 index; Taihu Lake; Wuxi City; construction land; decision tree method; dry farm; growth characteristics; heavily polluted area; land cover information; paddy field; spectral characteristics; tea plantation; topography characteristics; Data mining; Decision trees; Indexes; Nickel; Remote sensing; Satellites; Support vector machines; K-T transformation; TM; decision tree; land cover; spectral characteristics;
  • 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.2011.5965210
  • Filename
    5965210