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Remote Sens. 2009, 1(4), 1028-1042; doi:10.3390/rs1041028

Detection of Cypress Canopies in the Florida Panhandle Using Subpixel Analysis and GIS

Department of Geography, Geology, and the Environment, 319 Advanced Technology and Science Hall, Slippery Rock University of Pennsylvania, Slippery Rock, PA 16057, USA
U.S. Fish and Wildlife Service, Panama City Field Office, 1601 Balboa Avenue, Panama City, FL 32405, USA
Author to whom correspondence should be addressed.
Received: 22 September 2009 / Revised: 27 October 2009 / Accepted: 13 November 2009 / Published: 17 November 2009
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In this study, multitemporal subpixel analysis was used to identify cypress canopies from Landsat 7 ETM+ imagery. One spring and one fall image were selected for each of two sites, an eastern one centered on Tallahassee, FL and a western one centered on Panama City, FL. Signatures derived from the two eastern images were applied on the two western images that served as the control images for accuracy assessment. Results indicated that multitemporal subpixel analysis greatly improved the classification accuracy and signatures developed from one scene could be used to the subpixel classification of another scene with caution.
Keywords: subpixel analysis; cypress; Florida Panhandle subpixel analysis; cypress; Florida Panhandle

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Wang, J.; Lang, P.A. Detection of Cypress Canopies in the Florida Panhandle Using Subpixel Analysis and GIS. Remote Sens. 2009, 1, 1028-1042.

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