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Coconut Inventory Activities Supported by UAV

Coconut Inventory Activities Supported by UAV. GIS&RS User Meeting Suva 24 th June 2014 Test conducted by Teja Kattenborn. Palm Resource Mapping with VHR Satellite Images. Separation of coconut palm from other vegetation possible Density stratification is possible

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Coconut Inventory Activities Supported by UAV

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  1. Coconut Inventory Activities Supported by UAV GIS&RS User Meeting Suva 24th June 2014 Test conducted by TejaKattenborn

  2. Palm Resource Mappingwith VHR Satellite Images • Separation of coconut palm from other vegetation possible • Density stratification is possible • Counting is possible in scattered and semi dense stands with 95% accuracy (dense underestimation) • Field work necessary but reduced to statistical minimum

  3. Display VHR Image Data Texture of pan-sharpened VHR image data allows to separate palm and natural forest

  4. Delineation of Palm Density 50 x 50 m grid helps interpretation

  5. Counting Palms in Plots • Placing a dot on top of every visible palm • Digital overlay with grid and counting in MapInfo (GIS software) dots per grid cell • Transfer to Access

  6. Counting in MapInfo SQL Result MapInfo automatically counts the number of palms within the plots using SQL select

  7. Field Sample Plots Needed • Counting palms / hectare in dense stands • Counting amount of hybrids • Estimation coconut production • Recording extent of diseases • Estimation of palm age • Estimation of timber volume (diametre and height) 50 – 100% under estimation of palms / hectare in dense stands

  8. Copter Type UAV • Good quality camera • Camera can swing to oblique view

  9. Structure of Coconut Stands

  10. Stitched Image

  11. Oblique View

  12. 3D Space Visual interpretation possible Semi automatic palm counting possible

  13. Point Cloud

  14. Practical Solution? • Method seems to work • Will reduce but NOT replace field work • Total cost has to match the cost of field work can be reduced

  15. Thanks

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