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Remote Sensing | Vol.1, Issue.4 | 2017-05-29 | Pages

Remote Sensing

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

Paul A. Lang,Jialing Wang  
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.

Original Text (This is the original text for your reference.)

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

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.

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Paul A. Lang,Jialing Wang,.Detection of Cypress Canopies in the Florida Panhandle Using Subpixel Analysis and GIS. 1 (4),.

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