Accuracy of Counting Coconut Palms with VHR Image Data - PowerPoint Presentation

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Accuracy of Counting Coconut Palms with VHR Image Data

KB. KataebatiGSD – Geoscience DivisionSlide2
Texture Information

IKONOS

GeoEye

WorldView-2

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1

st Step - Palm Resource Mapping with VHR Satellite Images Using World View-2 resolution 50cmSeparation of coconut palm from other vegetation

Density stratificationSelection of PlotsDigitisingCounting of palms per hectare

Remote Sensing Application

Field WorkSlide4
Density Classes

Scattered coconut: 25 - 50 palms/hectareSemi Dense: 50 – 150 palms/hectareDense Coconut >

150 palms/hectareSlide5
DigitisingSlide6
Counting Palms in Plots

Placing a dot on top of every visible palmDigital overlay with grid and

counting in MapInfo (GIS software) dots per grid cellTransfer to AccessSlide7

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

Transfer

MapInfo (GIS)

Access Database

Slide8
Establishment and Identify Plot in the Field using GPS

GPS - Base Station

Communicating with Satellite

GPS- Rover (recording)

Plot lineSlide9
Examples of Overlaying GPS Plot over the Image Plot

Established from

Satellite Image

Identified by GPSSlide10
Mismatch of Plot Outlay

GPS accuracy of 80 cm does not apply for way pointsSolution → new image interpretation for field plotsSlide11
Comparison Between Image interpretation and in Reality Slide12
Result

Images VS Reality100 plots investigatedDense coconut, 70 plots 10.6% underestimatedSemi dense coconut 14 plots 4.4% underestimatedScattered coconut plots 16 plots correct image interpretation Slide13

Dense Coconut PalmSlide14

ConclusionFactor 10.6% and 4.4% is incorporated in code to calculate palms per hectare

Accuracy will be improved with additional investigationsSlide15

Thanks