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Coconut Inventory Activities in the Pacific ?

Coconut Inventory Activities in the Pacific ?. Wolf Forstreuter. Coconut Resource Known ?. “Kiribati has 3,827,913 coconut palms” Believable?. 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 in the Pacific ?

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  1. Coconut Inventory Activities in the Pacific ? Wolf Forstreuter

  2. Coconut Resource Known ? • “Kiribati has 3,827,913 coconut palms” • Believable?

  3. 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

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

  5. Density Classes • Scattered 25 – 50 palms / hectare • Semi dense 50 – 150 palms / hectare • Dense > 150 palms / hectare

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

  7. Selection of Sample Plots for Coconut Palm Counting Select are only plots that are fully covered by one stratum Randomly selection of about 20 % plots Counting palms / plot

  8. 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

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

  10. Analysis in Access • Sum • Min • Max • Mean • No Plots • Area plots • Area Stratum • (Pot. No. Plots)

  11. Mapping at SPC and PIC SPC-SOPAC Fiji Agriculture Kiribati Environment Kiribati

  12. Complete Kiribati and Part of Tuvalu Mapped

  13. 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

  14. Field Plots • 40 x 40 m in scattered and semi dense stands • Selection of image sample plots • GPS assistance for location identification in the field

  15. Age / Height Measurement • Length of 11 leave scares in cm • Height of palm • Distance to bottom • Angle to bottom • Angle to top

  16. Fertility • Number of coconuts / bunch • Three oldest bunches counted • Average calculated

  17. Diseases Top: Stick insect Right: Rhinoceros beetle

  18. Timber Volume • DBH • Height • Form factor • Timber factor

  19. Calculation is Coded

  20. Harvesting Coconuts It is uneconomic to search for a coconut ! It is uneconomic to carry more than 300m !

  21. Distance to Road • Create buffer zones around tracks and roads • Overlay over stratified area • Recalculate productive area

  22. Remote sensing, GIS and GPS technology provide new avenues for coconut resource inventories • Utilising these technologies enables quantitative estimation of available resource Thanks

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