Acreage Estimate Production Throughout the … Estimate Production Throughout the Growing Season:...
Transcript of Acreage Estimate Production Throughout the … Estimate Production Throughout the Growing Season:...
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Acreage Estimate Production
Throughout the Growing Season: An
Update on the Cropland Data Layer
Rick Mueller
Head, Spatial Analysis Research
October 20, 2008
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Cropland Data Layer (CDL) Discussion
• Legacy program
– Issues: Budget/Satellites/Agency Support/Technology
• Operational Paradigm
• Deliver real-time acreage estimates
– Multiple times during growing season
• Increase program scope/coverage
• Public domain crop specific classification
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CDL Program Objectives “Census by Satellite”
Annually cover major producing corn and soybean regions
Indications reflect actual location of the crops
Not address on record via survey
Provide timely, accurate, useful indications Measurable error
Unbiased/independent estimator
State, county, district (ASD)
Operationalize indications delivery For June, August, and October
Ag Statistics Board
Update planted area
Output crop specific CDL Distribute to public at the cost of reproduction
NRCS Geospatial Data Gateway
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Crop Production Report
Crop Production Report
Crop Acreage Report
Small Grains Annual Summary
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CDL States and Commodities
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‟06 – „07
‟05 & „07
‟97-‟08
„04
‟99-‟08 ‟00-‟08
‟00-‟08
‟04-08
‟99-‟08
‟01-‟08
‟06-08
‟06-‟08
‟01-‟08
‟06-„08
‟97-‟08 ‟06-‟08
‟03-‟08
‟06-‟08„02
„07
‟07-‟08
„07
„07
„08
„08
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CDL Program
• Inputs
– Resourcesat-1 AWiFS imagery
– Farm Service Agency – Common Land Unit
– Ancillary data
– Commercial software suite
• Outputs
– Acreage Estimates
– Cropland Data Layer
Commercial
Software Suite
AWiFS Imagery
FSA Common
Land Unit
Ancillary Data
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Agricultural Ground Truth Farm Service Agency (FSA)
Common Land Unit (CLU)
578 attributed reporting data
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Agricultural Ground Truth Farm Service Agency (FSA)
Common Land Unit (CLU)
578 attributed reporting data
FSA NASS
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Matching CLU’s used for sampling CDL Classification
½ sample for training & ½ sample for testing
Filter multi-field CLU/high acreage variance
Comprehensive program crop coverage
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Non Agricultural -
Ground Truth
Proportional sampling
2001 National Land Cover Dataset from USGS
Improve CDL coverage of non-ag classes
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Ancillary Data – USGS/NASA Products
Elevation Imperviousness Forest Canopy
NASA MODIS Terra
(16-day NDVI composite)
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Commercial Software Suite
Imagery Preparation ERDAS Imagine
Image classification Decision tree software
See5.0 www.rulequest.com
Ground Truth Preparation ESRI ArcGIS
Acreage Estimation SAS/IML workshop
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Classification – See5 Decision Tree
• Capable of handling large and complex
data sets
• Able to incorporate missing and non-
continuous data
• NLCD Mapping Tool acts as an interface
between Imagine and See5
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Accuracy Statistics
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Kansas 2008 CDL
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Brown County, Kansas 2008
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Cropland Data Layer Future
Improve acreage timing Sept. Small Grain Summary
August district level estimates
Expand geographic scope Cotton, Winter, Durum and Spring
Wheats
Derivatives Change detection
Crop rotations
National program Leverage resource partnerships
Primary Wheat States
Primary Cotton States