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G.; Koedam, N.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Neukermans, G. <i>et al.</i>","Englishabstract":"This paper presents an automated method for mangrove stand recognition (delineation and labeling) and species mapping based on fuzzy per-pixel classification techniques of a QuickBird satellite image. The four dominant mangrove species in Gazi Bay (Kenya) are mapped with an overall accuracy of 72 percent, where the two socio-economically most important species are mapped with user accuracies above 85 percent. 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