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Forecasting Canadian Crop Yields
…with Satellites!
Forecasting Canadian Crop Yields
…with Satellites!
@LeanderCampbell (AAFC-Ottawa)
#EOCC19
@LeanderCampbell (AAFC-Ottawa)
#EOCC19
Internal AAFC system that produces regional & national crop
yield forecasts during & shortly after the growing season.
Canadian Crop Yield Forecaster (CCYF)
@LeanderCampbell #EOCC19
• Starting in the 2013, an experimental outlook report was
delivered to a group of selected “beta” users for evaluation.
• Outlook reports are released around the middle of July, August,
September & October (for soybean & corn only).
2018 Forecasted Crops: Spring Wheat, Durum, Canola, Barley, Oats,
Flaxseed, Lentils, Soybean, Corn for Grain
@LeanderCampbell #EOCC19
Current CCYF Operational Scale and Input Data
Climate Data: Tmax, Tmin and Precip.
EO Data: AVHRR NDVI (1987- present)
Historical Yield: Census Agricultural Region (CAR)
Crop Mask: By crop
Soil Information: By station
Current CCYF Operational Scale & Input Data
• Process based Versatile Soil Moisture Budget (VSMB)
model: to generate agroclimate indices from climate,
crop and soil data
• Statistical algorithms for predictor selection, model
building, data generation and probability forecast.
A Simplified Look at the CCYF Methodology
@LeanderCampbell #EOCC19
Cdn Water Resource Journal Vol. 35(2): 187–208 (2010) Hayashi et al
Example Output of the CCYF – Wheat
Predicted
80%
confidence
interval
range:
19.7 - 23.8
million/t
or
724 – 875
million/bu
@LeanderCampbell #EOCC19
6
@LeanderCampbell #EOCC19
@LeanderCampbell #EOCC19
@LeanderCampbell #EOCC19
9
@LeanderCampbell #EOCC19
@LeanderCampbell #EOCC19
@LeanderCampbell #EOCC19
FORECASTED 2018 CROP YIELD & PRODUCTION
Summary Table
@LeanderCampbell #EOCC19
• Demands for early season yield and production
estimates from producers, commodity brokers, grain
transporters and government policy makers.
• Statistics Canada (STC), desire to address some
issues associated with traditional survey-based yield
estimates:
 Heavy questionnaire burden on farmers
 Human-related biases
 Short lead time
MOTIVATION – Why do this?
@LeanderCampbell #EOCC19
Comparison of National Yield Estimates (AAFC & STC)
2018 Growing Season
(Yields are in bushels/acre except for Lentils which are in 10 X pounds/acre)
Spring
Wheat
Canola
Oats
Durum
Wheat
Soybeans
Barley
Corn for Grain
Flax
Lentils
@LeanderCampbell #EOCC19
Who Looks at this Information?
Groups that are currently on the CCYF Beta Distribution List
@LeanderCampbell #EOCC19
AAFC Science &
Technology Branch
Strategic Policy Branch
Market & Industry
Services Branch
Programs Branch
STC
University Scientists
Provincial Govt At least 1 provincial recipient in each province except BC, NL
GoC Departments
Private Industry
International Orgs
Scientific research; Operations
International trade
Risk Management; Innovation
Policy development
All beta users provide feedback
to aid in creating a more robust
product in the future
What’s Next for the CCYF?
@LeanderCampbell #EOCC19
• Further investigate results at provincial and CAR levels to
find regional patterns in model performance.
• Test other combinations of the datasets to find the best
option for each crop.
• Work out a near real time data acquisition and
processing flow to meet operational needs.
Leander.Campbell@canada.ca
@LeanderCampbell
THANK YOU
Questions / Comments?

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18. Satellite, Yields and Management - Leander Campbell

  • 1. Forecasting Canadian Crop Yields …with Satellites! Forecasting Canadian Crop Yields …with Satellites! @LeanderCampbell (AAFC-Ottawa) #EOCC19 @LeanderCampbell (AAFC-Ottawa) #EOCC19
  • 2. Internal AAFC system that produces regional & national crop yield forecasts during & shortly after the growing season. Canadian Crop Yield Forecaster (CCYF) @LeanderCampbell #EOCC19 • Starting in the 2013, an experimental outlook report was delivered to a group of selected “beta” users for evaluation. • Outlook reports are released around the middle of July, August, September & October (for soybean & corn only). 2018 Forecasted Crops: Spring Wheat, Durum, Canola, Barley, Oats, Flaxseed, Lentils, Soybean, Corn for Grain
  • 3. @LeanderCampbell #EOCC19 Current CCYF Operational Scale and Input Data Climate Data: Tmax, Tmin and Precip. EO Data: AVHRR NDVI (1987- present) Historical Yield: Census Agricultural Region (CAR) Crop Mask: By crop Soil Information: By station Current CCYF Operational Scale & Input Data
  • 4. • Process based Versatile Soil Moisture Budget (VSMB) model: to generate agroclimate indices from climate, crop and soil data • Statistical algorithms for predictor selection, model building, data generation and probability forecast. A Simplified Look at the CCYF Methodology @LeanderCampbell #EOCC19 Cdn Water Resource Journal Vol. 35(2): 187–208 (2010) Hayashi et al
  • 5. Example Output of the CCYF – Wheat Predicted 80% confidence interval range: 19.7 - 23.8 million/t or 724 – 875 million/bu @LeanderCampbell #EOCC19
  • 12. FORECASTED 2018 CROP YIELD & PRODUCTION Summary Table @LeanderCampbell #EOCC19
  • 13. • Demands for early season yield and production estimates from producers, commodity brokers, grain transporters and government policy makers. • Statistics Canada (STC), desire to address some issues associated with traditional survey-based yield estimates:  Heavy questionnaire burden on farmers  Human-related biases  Short lead time MOTIVATION – Why do this? @LeanderCampbell #EOCC19
  • 14. Comparison of National Yield Estimates (AAFC & STC) 2018 Growing Season (Yields are in bushels/acre except for Lentils which are in 10 X pounds/acre) Spring Wheat Canola Oats Durum Wheat Soybeans Barley Corn for Grain Flax Lentils @LeanderCampbell #EOCC19
  • 15. Who Looks at this Information? Groups that are currently on the CCYF Beta Distribution List @LeanderCampbell #EOCC19 AAFC Science & Technology Branch Strategic Policy Branch Market & Industry Services Branch Programs Branch STC University Scientists Provincial Govt At least 1 provincial recipient in each province except BC, NL GoC Departments Private Industry International Orgs Scientific research; Operations International trade Risk Management; Innovation Policy development All beta users provide feedback to aid in creating a more robust product in the future
  • 16. What’s Next for the CCYF? @LeanderCampbell #EOCC19 • Further investigate results at provincial and CAR levels to find regional patterns in model performance. • Test other combinations of the datasets to find the best option for each crop. • Work out a near real time data acquisition and processing flow to meet operational needs.