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

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

1,* email and 2email
Received: 22 September 2009; in revised form: 27 October 2009 / Accepted: 13 November 2009 / Published: 17 November 2009
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: 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
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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.

AMA Style

Wang J, Lang PA. Detection of Cypress Canopies in the Florida Panhandle Using Subpixel Analysis and GIS. Remote Sensing. 2009; 1(4):1028-1042.

Chicago/Turabian Style

Wang, Jialing; Lang, Paul A. 2009. "Detection of Cypress Canopies in the Florida Panhandle Using Subpixel Analysis and GIS." Remote Sens. 1, no. 4: 1028-1042.

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