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
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