• DocumentCode
    2140166
  • Title

    Study on winter wheat yield estimation model based on NDVI and seedtime

  • Author

    Liangyun, Liu ; Jihua, Wang ; Xiaoyu, Song ; Cunjun, Li ; Wenjiang, Huang ; Chunjiang, Zhao

  • Author_Institution
    National Eng. Res. Center for Inf. Technol. in Agric.
  • Volume
    6
  • fYear
    2004
  • fDate
    20-24 Sept. 2004
  • Firstpage
    4045
  • Abstract
    The seedtime plays an important role on the growth, yield and quality of winter wheat. Firstly, the seedtime was successfully remotely sensed by NDVI derived from a LandSat TM image captured in elongation stage. Secondly, an optimized yield estimation model was designed based on NDVI and seedtime, and the optimized model was successfully tested by 3 LandSat TM images captured in heading, grain filling and milking stages
  • Keywords
    agriculture; crops; vegetation mapping; LandSat TM image; NDVI; grain filling stage; heading stage; milking stage; optimized model; remotely sensing; seedtime; winter wheat growth; winter wheat quality; winter wheat yield estimation model; Agricultural engineering; Biomass; Data acquisition; Data mining; Design optimization; Global Positioning System; Remote sensing; Satellites; Vegetation mapping; Yield estimation;
  • 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.2004.1370018
  • Filename
    1370018