• DocumentCode
    2139656
  • Title

    Discrimination of winter wheat and seed rape using multi-date Landsat TM/ETM images

  • Author

    Qiangzi, Li ; Bingfang, Wu ; Weifeng, Zhou ; Lei, Zhang

  • Author_Institution
    Inst. of Remote Sensing Applications, Chinese Acad. of Sci., Beijing
  • Volume
    6
  • fYear
    2004
  • fDate
    20-24 Sept. 2004
  • Firstpage
    3985
  • Abstract
    In this study, three Landsat ETM images obtained at different period of the growth of seed rape and winter wheat are used in a study of analyzing the potential of multi-date ETM in crop discrimination for an area near Kaifeng city in Henan province, China. We compared the spectrum development between winter wheat and seed rape before, during and after the flowering stage of seed rape. Then, we provide two different classification schemas to discriminate the two crops depend on different image combination. The first one using images between the jointing stage and flowering stage of seed rape, the other one using images between the jointing stage and leguminous stage. At last, we selected two ETM images, on March 8 2001 and April 1 in 2001, to build a decision tree to discriminate seed rape and winter wheat. And the result was compared with that from IKONOS image classification and proved that the discrimination accuracy was 87% high. And the results also told us that discrimination errors were happened in two kinds of regions. One is the regions that crop growing status were very poor, another is that the planting patches were very thin or small
  • Keywords
    agriculture; crops; decision trees; geophysical signal processing; image classification; vegetation mapping; AD 2001 03 08; AD 2001 04 01; China; Henan province; IKONOS image classification; Kaifeng city; Landsat ETM images; crop discrimination; decision tree; flowering stage; image combination; jointing stage; leguminous stage; multidate Landsat TM/ETM images; planting patches; seed rape; spectrum development; winter wheat; Cities and towns; Cotton; Crops; Decision trees; Ear; Image analysis; Image classification; Remote monitoring; Remote sensing; Satellites;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
  • Conference_Location
    Anchorage, AK
  • Print_ISBN
    0-7803-8742-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2004.1370001
  • Filename
    1370001