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Mangrove species and stand mapping in Gazi bay (Kenya) using Quickbird satellite imagery
Neukermans, G.; Dahdouh-Guebas, F.; Kairo, J. G.; Koedam, N. (2008). Mangrove species and stand mapping in Gazi bay (Kenya) using Quickbird satellite imagery. Journal of Spatial Science 53(1): 75-86. dx.doi.org/10.1080/14498596.2008.9635137
In: Journal of Spatial Science. Mapping Sciences Institute/Surveying & Spatial Sciences Institute: East Perth, W.A.. ISSN 1449-8596, more
Peer reviewed article  

Available in  Authors 
    VLIZ: Open Repository 243527 [ OMA ]

Keyword
Author keywords
    Forestry, remote sensing, GIS, vegetation mapping, visual interpretation, delineation accuracy assessment, Point-Centred-Quarter-Method

Authors  Top 
  • Neukermans, G., more
  • Dahdouh-Guebas, F., more
  • Kairo, J. G., more
  • Koedam, N., more

Abstract
    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. Mangrove stand maps were compared to visual delineations done by an expert interpreter and the quality was based on the quantity of overlap one has with the other An overall correspondence up to 86 percent was achieved.

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