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Crop Monitoring Using Small Unmanned Aircraft Systems

Crop Monitoring Using Small Unmanned Aircraft Systems. By Jeremy R. Smith. University of North Dakota April 30, 2012. CropCam. CropCam. Remote Sensing for Agriculture. Satellite Expensive Temporal Resolution 16 days Cloud Cover Delayed Data No Choice Resolutions File formats.

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Crop Monitoring Using Small Unmanned Aircraft Systems

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  1. Crop Monitoring Using Small Unmanned Aircraft Systems By Jeremy R. Smith University of North Dakota April 30, 2012

  2. CropCam

  3. CropCam

  4. Remote Sensing for Agriculture

  5. Satellite Expensive Temporal Resolution 16 days Cloud Cover Delayed Data No Choice Resolutions File formats Satellite vs. UAS for Agriculture • UAS • Power in farmer’s hands • Date • Height • Resolution • Location • Near-real time data • Data Center

  6. Data Acquisition • Satellite Data • Six images • June 2011 – Sept 2011 • Only 1 suitable image • July 30, 2011 • CropCam Data • 6 flying days • Sept 10 – Sept 11 • 400, 600, 800, 1,000ft AGL • AEROCam Data • 3 dates requested • Two days • Only one at Flying-S • 15 Aug 2011

  7. Lowest Altitude 400 ft. AGL Approx: 2.5 Acres • 400ft AGL • Quarter section • Cover pass required • Weave pattern required • 1,000ft AGL • Half section • No cover pass required • Weave pattern not required 600 ft. AGL Approx: 4 Acres 800 ft. AGL Approx: 8 Acres 1,000 ft. AGL Approx: 14 Acres

  8. Image Mosaic + + + + + + + + =

  9. Quarter Section

  10. Half Section

  11. Spatial Resolution

  12. Image Comparison • Landsat • 30m • 0.22 acres per pixel • Acre = five pixels • AEROCam • 1m • 0.00025 acres per pixel • Acre = 4,000 pixels • CropCam • 20 cm • 0.0000099 acres • Acre = 101,010 pixels

  13. Water Damage Comparison • Landsat • Undistinguishable • AEROCam • Water damage is clearly visible • Spots of low productivity • CropCam • Water damage is clearly visible • Spots of low productivity • Issue with machinery

  14. Water Damage Comparison

  15. High Resolution

  16. Questions?

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