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Selection of an appropriate classification technique for coastal biomass mapping using high and low resolution dataset
1. Selection of an appropriate classification technique for coastal biomass mapping using high and low resolution dataset Urooj Saeed, GIS Coordinator World Wide Fund for Nature – Pakistan [email_address] Presented at 2 nd International Conference on Advances in Space Technologies 29-30 November, 2008; Islamabad, Pakistan
17. Conclusions and Recommendations MLC when applied on Landsat failed to separate a very important vegetation component into a different landcover classes. By using SPC, mixed pixel problem was satisfactorily overcome by classifying high spatial frequency vegetation classes i.e. saltbush and algae SPC proved to be a time effective technique as less training areas for Material of Interest (MOI) were required Due to the time and cost effectiveness, it is highly recommended to use SPC on medium resolution data for coastal biomass mapping at large area. It is also suggested to use selective patches of high resolution satellite image for the ground truthing and MOI definition.