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Vegetation Mapping Low Lying Islands in the Pacific Using VHR Satellite Images Kataebati Bataua SPC-SOPAC.

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Presentation on theme: "Vegetation Mapping Low Lying Islands in the Pacific Using VHR Satellite Images Kataebati Bataua SPC-SOPAC."— Presentation transcript:

1 Vegetation Mapping Low Lying Islands in the Pacific Using VHR Satellite Images Kataebati Bataua SPC-SOPAC

2 Purpose of Vegetation Mapping (Land Cover) Picture of available coconut palm resource (alternative energy, etc.)Picture of available coconut palm resource (alternative energy, etc.) Food securityFood security Base line of vegetation cover to monitor impact of climate changeBase line of vegetation cover to monitor impact of climate change

3 Display GeoEye Data Texture of GeoEye data allows to separate palm and natural forest

4 Texture and Pattern

5 Spectral Information False Colour Infrared Natural Colour

6 Vegetation Classes Coconut palm cover (3 densities !)Coconut palm cover (3 densities !) 1.Coconut plantation 2.Dense coconut 3.Scattered coconut ForestForest MangrovesMangroves ShrubShrub Settlement influenced areasSettlement influenced areas Bare Land (grass, none vegetation)Bare Land (grass, none vegetation) Water body (on the island)Water body (on the island)

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9 Other Vegetation Classes (within Settlement Area) Not visible on the image data such as: –Breadfruit –Pandanas –Bananas Field sample plots required

10 The GIS Operators in KI AgricultureAgriculture EnvironmentEnvironment Lands DepartmentLands Department

11 Backup of Information SPC-SOPAC Fiji Agriculture Kiribati Environment Kiribati

12 Delineation of Palm Density

13 Selection of Plots Select plots that are covered within the stratum (like 150 plots that contains with the “Y”) Randomly select only 20 plots. Counting palms/hectare

14 Plots Containing the “Y”

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

16 The number of palms is counted through a semi automatic process connecting MapInfo GIS software with Access Database software Transfer MapInfo (GIS) Access Database

17 Analysis in Access SumSum MinMin MaxMax MeanMean No PlotsNo Plots Area plotsArea plots Area StratumArea Stratum (Pot. No. Plots)(Pot. No. Plots)

18 Description of Stratum Average number of palms/hectareAverage number of palms/hectare Variability of the palm densityVariability of the palm density Exactness of countingExactness of counting For 20 plots(randomly) of 50 x 50 metres the coconut palms were counted in the stratum "Scattered Coconut" on the satellite image data. This represents an area of 17,507 m 2. This stratum covers 41,423 m 2 and theoretically 17 plots could have been analysed instead of 20. The number of palms varies from 12 (min) to 14 (max) which represents 48 or 52 palms/ha with an average of 49 palms/ha with very small standard deviation of +2 palms/ha and a standard error of + 0.6.

19 Needed for Productivity: Number of palms / hectare for dense standsNumber of palms / hectare for dense stands Age of palmsAge of palms Amount of hybridsAmount of hybrids Soil informationSoil information Transport distanceTransport distance 50 – 100% under estimation

20 Results: 25 reports are ready

21 Results in GIS Environment at SPC-LRD

22 Current Information Flow SPC-SOPAC SPC-LRD Island Country 1.Memory stick 2.e-mail External hard drive Server

23 Vegetation Monitoring ? SPC

24 Thanks


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