Acreage Estimation ITEM20072008200920102011 CROPLAND DATA LAYERS - In Season1519272827 - Post...
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Transcript of Acreage Estimation ITEM20072008200920102011 CROPLAND DATA LAYERS - In Season1519272827 - Post...
Acreage EstimationITEM 2007 2008 2009 2010 2011
CROPLAND DATA LAYERS - In Season 15 19 27 28 27 - Post Season 6 16 21 20 21Total CDL's 21 48 48 48 48ESTIMATES PRODUCEDState Level 15 19 26 28 27District Level (# of States) NA 7 7 7 7County Level (# of States) 15 19 36 39 41Total State/Crop Estimates 92 136 135
FIELD CROPS COVERED 9 14 15 16 18
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Dependent (Y) Independent(X)RegressionVariables:
Enumerated JAS Segments
CDL Classified Acres
Soybeans 227 acres 273 acresWheat 337 acres 541 acres
Linear Regression for Acreage EstimatesComparing June Agricultural Survey to Cropland Data Layer
June Ag Survey – Interview Cropland Data Layer
Crop acreage estimates are sent to the Agricultural Statistics Board as an indication for USDA official acreage totals.
United States Department of Agriculture
How Competitive Are the Remote Sensing Indications for Planted Acres?
Highly Competitive Moderately Competitive Not in the GameCorn Alfalfa Other HaySoybeans Sorghum FruitsWinter Wheat Sugarcane VegetablesAll Cotton Barley Small Area CropsSpring Wheat OatsFall Potatoes TobaccoAll RiceSugarbeetsPeanutsDurum WheatAll Dry BeansSunflowerCanola
http://nassgeodata.gmu.edu/CropScape
CropScape
• A web service based interactive map visualization, dissemination and querying system for U.S. cropland – No burden on users
• No client software development & installation• No special software tools needed• Data mashable• Democratization of data
– Equitable information access, automatic timely delivery, and geospatial navigation
• Collaboration with George Mason University/Center for Spatial Information Science and Systems (CSISS)
http://nassgeodata.gmu.edu/CropScape
Visual Tools Area of Interest
Stats/Change
Maps/Downloads
Point Query Help/Tutorials
Social Media
http://nassgeodata.gmu.edu/CropScape
Identify Crop at Pixel Level
By State
By State & ASD
Select an Area of Interest
By Rectangle, Circle, or Polygon
By State & County
Select an Area of Interest
Crop Statistics
Pixel counting is usually downward biased when compared to official estimates. Counting pixels and multiplying by the area of each pixel will result in biased area estimates and should be considered raw numbers needing bias correction. Official crop acreage estimates are available at http://www.nass.usda.gov/
CropScape Change Analysis
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Swipe Capability
Swipe Line
CropScape Download & Export
CropScape “Mashups”
CropScapeGoogle Analytics
CropScapeGoogle Analytics
Research
Education
AgribusinessLand Cover Modeling
Mapping
Land Use
Crop Rotation
Pesticides
Water Use Soil and Water
Watersheds
Carbon
Crop ProtectionDisaster Assessment
Epidemiology
Crop Production
YieldFertilizer
Transportation
Ethanol
IrrigationClimate
Fertilizer Usage
Biofuel
Erosion
Data Mining
Environmental Risk
Planning
Commodity
CRP
Forest
Change Detection
Crop Intensity
Ecosystem
Land Management
Ecology
Pest Control
Soil Utilization
Acreage Estimates
Biodiesel
Water Quality
Urban Growth
Wildlife Habitat
Condition Assessment
NASS Cropland Data Layer Applications
http://nassgeodata.gmu.edu/CropScape
• Operational Program– Timely estimate delivery– Measureable statistical error– Set national/regional/county acreage estimates
• Components– DMC/Landsat imagery– Farm Service Agency/Common Land Unit– USGS NLCD/ancillary layers– June Agricultural Survey
• Leverage– CDL program paramount to other NASS geospatial activities– Partnerships with cooperating agencies critical for success– Heavy reliance on satellites and information technology
• Distribution– CropScape Portal– NRCS Data Gateway
Cropland Data Layer Summary