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dc.contributor.authorFerguson, Randolphen_US
dc.contributor.authorKorfmacher, Karlen_US
dc.date.accessioned2006-08-18T21:22:34Zen_US
dc.date.available2006-08-18T21:22:34Zen_US
dc.date.issued1997-10en_US
dc.identifier.citationAquatic Botany 58N3-4 (1997) 241-258en_US
dc.identifier.issn0304-3770en_US
dc.identifier.urihttp://hdl.handle.net/1850/2358en_US
dc.description.abstractSeagrass meadows are a valuable and vulnerable resource which supports coastal fisheries. Spatial monitoring of seagrass meadows can improve coastal management and research with baseline inventories of change in location and areal extent through time. Vertical aerial photography is an effective but expensive approach for monitoring seagrass meadows. Remote sensing with Landsat TM is less expensive but image selection is critical because environmental factors affect detection of seagrass meadows. Interpretation of photographs (March 1985 and April 1988) provides reference data for evaluation of results with three Landsat TM images of coastal North Carolina. Agreement of the Landsat classification with reference data was as high as 72.6% for a June 1992 image. Despite limited development of coastal North Carolina, seagrasses closely associated with the mainland are relatively low in abundance and are restricted to shallower water than seagrasses nearer the uninhabited barrier islands.en_US
dc.description.sponsorshipThis research was funded by NOAA’s Coastal Change Analysis Program (C-CAP) and National Marine Fisheries Service (NMFS), Southeast Fisheries Science Center, Beaufort Laboratory. Landsat TM images were obtained through the Multi-Resolution Land Characteristics consortium of the US Environmental Protection Agency, the US Geological Survey and NOAA. The research was initiated while the senior author was a Visiting Scientist at the Computer Graphics Center (CSC), North Carolina State University, Raleigh.en_US
dc.format.extent37365 bytesen_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoen_USen_US
dc.publisherElsevier: Aquatic Botanyen_US
dc.titleRemote sensing and GIS analysis of seagrass meadows in North Carolina, USAen_US
dc.typeArticleen_US
dc.subject.keywordSeagrass meadowsen_US
dc.subject.keywordSpatial modelingen_US
dc.subject.keywordLinage selectionen_US
dc.subject.keywordRemote sensingen_US
dc.identifier.urlhttp://dx.doi.org/10.1016/S0304-3770(97)00038-7


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