• DocumentCode
    2599827
  • Title

    Spring wheat yield prediction for Western Canada using weekly NOAA AVHRR composites

  • Author

    Hochheim, Klaus P. ; Barber, David G. ; Bullock, Paul R.

  • Author_Institution
    Centre for Earth Obs. Sci., Manitoba Univ., Winnipeg, Man., Canada
  • Volume
    4
  • fYear
    1996
  • fDate
    27-31 May 1996
  • Firstpage
    1992
  • Abstract
    The growing and marketing of wheat and other small grains is a major national and international industry. Accurate methods of acquiring crop condition information in a timely manner is critical within the global grain marketing environment. Any technique that helps reduce uncertainties with respect to marketing decisions is therefore important. This paper reviews the use of maximum value NDVI composites (MVCs) to predict spring wheat yield for Western Canada. Results show that cumulative NDVI estimates provide a reproducible and reliable means of generating early season yield estimates for Western Canada. Results for 1991 and 1992 growing season show that early season NDVI yield estimates are within 5% of official yields estimates released 3 months following harvest
  • Keywords
    agriculture; geophysical techniques; remote sensing; AD 1991; AD 1992; Canada; IR imaging; NOAA AVHRR; agricultural crops; agriculture; crop condition; forecasting; geophysical measurement technique; image composite; maximum value NDVI composites; optical imaging; remote sensing; spring wheat yield prediction; vegetation mapping; visible region; Biomass; Calibration; Clouds; Crops; Geography; Geoscience; Remote sensing; Soil moisture; Springs; Yield estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International
  • Conference_Location
    Lincoln, NE
  • Print_ISBN
    0-7803-3068-4
  • Type

    conf

  • DOI
    10.1109/IGARSS.1996.516866
  • Filename
    516866