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data collected by the Pleiades 1A Sensor. The data was mapped using Object 
based image analysis, a two-step process which involves the segmentation and 
then classification of an image. Before segmentation and classification, the 
satellite data underwent several different corrections including, radiometric 
calibration, atmospheric correction, orthorectification, land and cloud 
masking, sun glint correction and depth correction. The satellite data was 
segmented using the multi-resolution segmentation algorithm within Trimble’s 
eCognition® software (v9.0.0). The objects produced during the segmentation 
were classified using a mixture of K-nearest neighbour, random forest and 
support vector machines classification algorithms. All three of these 
algorithms take the statistics from the training dataset, created from the 
ground truthing data, and classify the remaining objects based on 
statistically driven decisions. The simplified map was classified to the 
simpler habitat classification of Seagrass, Algae, Bare and Mosaic. Maps were 
validated against a subset of the groundtruthing stations which were left out 
of the classification. The simplified map achieved an overall accuracy of 
72.3%.</gco:CharacterString>
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