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
Link To Document :
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