1. Acreage Estimation ITEM20072008200920102011 CROPLAND DATA LAYERS - In Season1519272827 - Post Season616212021 Total CDL's2148 ESTIMATES PRODUCED State Level1519262827 District Level (# of States)NA7777 County Level (# of States)1519363941 Total State/Crop Estimates92136135 FIELD CROPS COVERED914151618

2. 2 Dependent (Y)Independent(X) Regression Variables: Enumerated JAS Segments CDL Classified Acres Soybeans227 acres273 acres Wheat337 acres541 acres Linear Regression for Acreage Estimates Comparing June Agricultural Survey to Cropland Data Layer June Ag Survey – InterviewCropland 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

3. How Competitive Are the Remote Sensing Indications for Planted Acres? Highly CompetitiveModerately CompetitiveNot in the Game CornAlfalfaOther Hay SoybeansSorghumFruits Winter WheatSugarcaneVegetables All CottonBarleySmall Area Crops Spring WheatOats Fall PotatoesTobacco All Rice Sugarbeets Peanuts Durum Wheat All Dry Beans Sunflower Canola

4. http://nassgeodata.gmu.edu/CropScape

5. 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

6. Visual Tools Area of Interest Stats/Change Maps/Downloads Point Query Help/Tutorials Social Media http://nassgeodata.gmu.edu/CropScape

7. Identify Crop at Pixel Level

8. By State By State & ASD Select an Area of Interest

9. By Rectangle, Circle, or Polygon By State & County Select an Area of Interest

10. Crop Statistics

11. 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/

12. CropScape Change Analysis

13. 13 Swipe Capability Swipe Line

15. CropScape Download & Export

16. CropScape “Mashups”

17. CropScape Google Analytics

20. Research Education Agribusiness Land Cover Modeling Mapping Land Use Crop Rotation Pesticides Water Use Soil and Water Watersheds Carbon Crop ProtectionDisaster Assessment Epidemiology Crop Production Yield Fertilizer Transportation Ethanol Irrigation Climate 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

21. 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