coconut inventory activities in the pacific ?
DESCRIPTION
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 - PowerPoint PPT PresentationTRANSCRIPT
Coconut Inventory Activities in the Pacific ?
Wolf Forstreuter
Coconut Resource Known ?• “Kiribati has 3,827,913 coconut
palms”• Believable?
LINE GROUPAtoll Name NoPlots DEC SDC SCC TotalCHRISTMAS ISLAND 20 153,863 164,719 133,722 452,304FANNING ISLAND 20 259,904 8,856 9,794 278,554WASHINGTON ISLAND 20 150,751 798 196 151,745FLINT 20 50,912 1,218 1,079 53,209CAROLINE 20 13,038 3,978 2,747 19,763MALDEN NIL No PalmsSTARBUCK NIL No PalmsVOSTOK NIL No PalmsSUM 955,575
Palm Resource Mappingwith VHR Satellite Images
A. Separation of coconut palm from other vegetation possible
B. Density stratification is possibleC. Counting is possible in scattered and
semi dense stands with 95% accuracy (dense underestimation)
D. Field work necessary but reduced to statistical minimum
Display VHR Image Data
Texture of pan-sharpened VHR image data allows to separate palm and natural forest
Density Classes
A. Scattered 25 – 50 palms / hectareB. Semi dense 50 – 150 palms /
hectareC. Dense > 150 palms / hectare
Delineation of Palm Density50 x 50 m grid helps interpretation
Selection of Sample Plots for Coconut Palm Counting
1. Select are only plots that are fully covered by one stratum
2. Randomly selection of about 20 % plots
3. Counting palms / plot
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
Counting in MapInfo
MapInfo automatically counts the number of palms within the plots using SQL select
SQL Result
Analysis in Access• Sum• Min• Max• Mean• No Plots• Area plots• Area Stratum• (Pot. No. Plots)
Mapping at SPC and PICSPC-SOPAC Fiji
Agriculture Kiribati
Environment Kiribati
Complete Kiribati and Part of Tuvalu Mapped
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 ofpalms / hectare in dense stands
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
Age / Height Measurement
• Length of 11 leave scares in cm• Height of palm
– Distance to bottom– Angle to bottom– Angle to top
Fertility• Number of coconuts / bunch• Three oldest bunches counted• Average calculated
Diseases
Top: Stick insectRight: Rhinoceros beetle
Timber Volume• DBH
• Height
• Form factor
• Timber factor
Calculation is CodedPalm Measurements Input
PlotNo
PalmN
o
AngleDown
AngleUp
DistanceDown
DBH
Length11Leav
e
NoCoconutsB1
NoCoconutsB2
NoCoconutsB3
Hybrid CoconutBeetle
StickInsect
1 1 -1 6.6 18 29 51 4 3 4 FALSE TRUE FALSE1 2 -1 6.2 18 31 42 7 8 10 FALSE FALSE FALSE1 3 -1 7.2 17 25 52 2 1 2 FALSE FALSE FALSE1 4 -0 9.2 22 35 82 6 4 2 FALSE FALSE FALSE1 5 -1 8.4 22 35 91 5 4 3 FALSE FALSE TRUE1 6 -0 12 19 40 117 4 4 3 FALSE TRUE TRUE1 7 -0 9 19 32 73 4 6 4 FALSE FALSE TRUE1 8 -1 10 15 30 87 5 6 3 FALSE FALSE TRUE1 9 -1 7.8 22 35 75 4 6 9 FALSE FALSE TRUE1 10 -1 7.8 20 31 75 5 5 4 FALSE TRUE TRUE1 11 -1 8.6 18 34 74 5 8 6 FALSE TRUE TRUE1 12 -1 8 16 34 80 6 6 6 FALSE TRUE FALSE1 13 -1 7.8 17 35 70 4 4 4 FALSE FALSE TRUE
Value per Palm
Palm_ID DBH Height Age Fertility RB_Attack SI_Attack Hybrid Volume
0001_001 29.4 9.09 28 3.67 TRUE FALSE FALSE 0.370001_002 30.7 7.92 29 8.33 FALSE FALSE FALSE 0.350001_003 25 9.35 28 1.67 FALSE FALSE FALSE 0.280001_004 34.8 14.83 28 4 FALSE FALSE FALSE 0.850001_005 34.5 13.64 25 4 FALSE TRUE FALSE 0.760001_006 40 17.46 25 3.67 TRUE TRUE FALSE 1.320001_007 31.5 12.46 27 4.67 FALSE TRUE FALSE 0.580001_008 30.2 12.64 25 4.67 FALSE TRUE FALSE 0.540001_009 34.8 12.4 27 6.33 FALSE TRUE FALSE 0.710001_010 31.1 12.16 26 4.67 TRUE TRUE FALSE 0.550001_011 33.6 11.47 25 6.33 TRUE TRUE FALSE 0.610001_012 34 9.97 22 6 TRUE FALSE FALSE 0.540001_013 34.6 10.36 25 4 FALSE TRUE FALSE 0.58
Harvesting Coconuts
It is uneconomic to search for a coconut !
It is uneconomic to carry more than 300m !
Distance to Road• Create buffer zones around tracks and roads• Overlay over stratified area• Recalculate productive area
Thanks
• Remote sensing, GIS and GPS technology provide new avenues for coconut resource inventories
• Utilising these technologies enables quantitative estimation of available resource