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Enhancing Crop Compliance Mapping Using NDVI and CLU Edit Analysis

This project focuses on the digitization and improvement of Common Land Units (CLU) for 18 counties, involving over 214,000 polygons, based on irrigation status (irrigated, non-irrigated, and semi-irrigated). Utilizing the Normalized Difference Vegetation Index (NDVI) as a by-product of METRIC processing, we analyze crop health and monitor changes over time. The dataset, with a 15-class land classification, aids the Farm Service Agency in administering crop compliance. Future efforts will leverage recent NAIP imagery to refine assessments and enhance agricultural planning.

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Enhancing Crop Compliance Mapping Using NDVI and CLU Edit Analysis

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  1. Irrigated/Non-irrigated Polygons Background Digitizing Effort Status Future

  2. Farm Service Agency • Creates CLU (common land unit) • Administer crop compliance responsibilities • CLU metadata circa 2005

  3. 2 year editing effort 18 Counties Over 214,000 polygons

  4. Clipped to model extent Dataset useful for Other projects

  5. Evolution of CLU editing • As-is • 15-class land classification • Balance • Close enough

  6. DIGITIZING EFFORT

  7. NDVINormalized Difference Vegetation Index • A by-product of the METRIC processing • Exploits strong spectral reflectance difference between red and near-infrared measurements • Directly related to photosynthetic capacity and energy absorption • NDVI values fall between -1.0 and +1.0

  8. NDVI 255 Spectral classes NDVI Date #1 NDVI Date #2 NDVI Date #3 Per pixel Classification Per Field Classification (75%) Final Review

  9. NON-IRRIGATED

  10. IRRIGATED

  11. SEMI-IRRIGATED

  12. STATUS

  13. IRRIGATION STATUS Irrigated Non-irrigated Semi-irrigated

  14. FUTURE

  15. 2002 CLU edits • Work with NDVI images to find changes between years • 1-meter statewide NAIP was flown this summer – near-infrared band included

  16. QUESTIONS?

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