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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 - PowerPoint PPT Presentation
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Coconut Inventory Activities Supported by UAV
GIS&RS User MeetingSuva 24th June 2014Test conducted by Teja Kattenborn
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
Delineation of Palm Density50 x 50 m grid helps interpretation
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
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
Copter Type UAV• Good quality camera• Camera can swing to oblique view
Structure of Coconut Stands
Stitched Image
Oblique View
3D Space
Visual interpretation possibleSemi automatic palm counting possible
Point Cloud
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
Thanks