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Using Remote Sensing to Optimize Management Strategies for Invasive Plant Control

Using Remote Sensing to Optimize Management Strategies for Invasive Plant Control. Jim Bean Jennifer Vollmer, Ph.D. Daniel Watts Professional Vegetation Management Group BASF Corporation. Environmental Resource Specialists. Jennifer Vollmer. Jim Bean. Why Map?. Diagnose the problem

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Using Remote Sensing to Optimize Management Strategies for Invasive Plant Control

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  1. Using Remote Sensing toOptimize Management Strategies for Invasive Plant Control Jim Bean Jennifer Vollmer, Ph.D. Daniel Watts Professional Vegetation Management Group BASF Corporation

  2. Environmental Resource Specialists Jennifer Vollmer Jim Bean

  3. Why Map? • Diagnose the problem • ‘Lookout Towers’ / Early detection • Search & (rescue) destroy • Create inventory: what, where, how much • More efficient use of resources Weed survey is an important aspect of land health

  4. Choosing a Method • How large is the area? • How long will it take? • How much will it cost? • Will methods meet the goals?

  5. Hyper-spectral Imaging • Photo imaging by aircraft • Full coverage • Multiple weeds • Multiple non-weeds • Abundance / Density • GIS layer • Treatment Optimization • Can reduce treatment cost and increase herbicide efficiency

  6. Case Study = Saltcedar BEALS CREEK Colorado River Basin, TX

  7. Generated from HSI plus Applicator GIS system combined Missed this large population Sprayed area with no vegetation = treated area = Saltcedar Actual Northstar treatment map ~1000 acres sprayed Estimated 400 acres of saltcedar received spray 40% Efficiency overall

  8. Case Study Beals Creek 3 Example treatment Section Actual Cost $40,113 • Acres of saltcedar divided by the total infested area • Density 0.1 = ~27 trees / 30x30 meter

  9. Treatment Optimization LAYER 1 • Determine cost effective treatment • Herbicide application method • Aerial • Ground • Spot treatment (foliar) • Biological • Appropriate site • Mechanical

  10. Treatment Optimization LAYER 2 • Appropriate Treatment • Density • Abundance of desirable plants • Proximity to urban area • Other • customer concern • quantified parameter

  11. = aerial = ground = biological BEALS CREEK Colorado River Basin, TX

  12. Cost Utilizing HSI data 0.16 80% 46.4/57.7 $11,784 0.14 69% 20.1/29.3 $5,953 0.17 85% 66.7/78.7 $15,971 $33,708 Actual Cost $40,113 * Acres of saltcedar divided by the total infested area

  13. Actual Herbicide Use 124.5 gal Herbicide Utilizing HSI data 0.16 80% 46.4/57.7 29 0.14 69% 20.1/29.3 14.5 0.17 85% 66.7/78.7 39.5 83 gal * Acres of saltcedar divided by the total infested area

  14. Treatment Optimization LAYER 3 • Appropriate Treatment • Fuel management need • Site Access • Landowner preference • Aesthetics

  15. BEALS CREEK Colorado River Basin, TX = aerial = ground = biological = cut stump = mechanical

  16. Mechanical Cost Cut + treat • $1200 to >$5000 /acre Dozer/Chipper/etc. • $300 / hr • 4 hr / acre

  17. Cost Total 1480 $244,200 333 gal

  18. Total Project dollars needed Budget: Phase 1 • HSI / Planning 40,000acre $80,000 Phase 2 • Treatment 244,200 + herbicide • Monitoring covered / Phase 1 • Follow-up treatment minimal

  19. Benefits • Many uses of remote sensing data • Treatment optimization • Most efficient use of resources • Monitor and measure effectiveness

  20. Summary BASF would like to discuss your remote sensing needs james.bean@basf.com (east) jennifer.vollmer@basf.com (west)

  21. Thank You!

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