Note
Includes bibliography.
Member of
Contributors
Publisher
Florida Atlantic University
Date Issued
2007
EDTF Date Created
2007
Description
Invasive exotic plant species cause a number of problems in native south
Florida ecosystems, and a great deal of effort is being put into controlling the
populations ofthese species. Control efforts require updated information on the
locations of exotic species. This information can be obtained from high resolution
remotely sensed data such as digital orthoimagery and LIDAR. Extraction of
information from these data sources is often problematic using traditional pixel-based
image processing techniques. An object oriented method of image analysis, however,
has been shown to be better suited to this task.
One invasive exotic species that has become widespread in south Florida is
Casuarina equisetifolia, also known as Australian pine. This study develops a semiautomated
procedure for detecting Australian pine over a large, diverse area with high
resolution remotely sensed data using the object oriented method of analysis.
Florida ecosystems, and a great deal of effort is being put into controlling the
populations ofthese species. Control efforts require updated information on the
locations of exotic species. This information can be obtained from high resolution
remotely sensed data such as digital orthoimagery and LIDAR. Extraction of
information from these data sources is often problematic using traditional pixel-based
image processing techniques. An object oriented method of image analysis, however,
has been shown to be better suited to this task.
One invasive exotic species that has become widespread in south Florida is
Casuarina equisetifolia, also known as Australian pine. This study develops a semiautomated
procedure for detecting Australian pine over a large, diverse area with high
resolution remotely sensed data using the object oriented method of analysis.
Language
Type
Form
Extent
86 p.
Subject (Topical)
Subject (Geographic)
Identifier
FA00000775
Additional Information
Includes bibliography.
Thesis (M.A.)--Florida Atlantic University, 2007.
Charles E. Schmidt College of Science
FAU Electronic Theses and Dissertations Collection
Date Backup
2007
Date Created Backup
2007
Date Text
2007
Date Created (EDTF)
2007
Date Issued (EDTF)
2007
Extension
FAU
IID
FA00000775
Organizations
Attributed name: Florida Atlantic University
Attributed name: Charles E. Schmidt College of Science
Attributed name: Department of Geosciences
Person Preferred Name
Johnson, Brian A.
Graduate College
Physical Description
application/pdf
86 p.
Title Plain
Object Oriented Classification of Australian Pine (Casuarina equisetifolia), an Invasive Exotic Species in South Florida
Use and Reproduction
Copyright © is held by the author with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder.
http://rightsstatements.org/vocab/InC/1.0/
Origin Information
2007
2007
Florida Atlantic University
Boca Raton, FL
Physical Location
Florida Atlantic University Libraries
Place
Boca Raton, FL
Sub Location
Digital Library
Title
Object Oriented Classification of Australian Pine (Casuarina equisetifolia), an Invasive Exotic Species in South Florida
Other Title Info
Object Oriented Classification of Australian Pine (Casuarina equisetifolia), an Invasive Exotic Species in South Florida