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Iterative remote sensing as an alternative for complex vegetation mapping

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Date Issued:
1997
Summary:
The South Florida Water Management District in conjunction with Florida Atlantic University began an effort to record vegetation invading Lake Okeechobee in 1994. This effort included a mapping project that would include all detectable vegetation within the expanding littoral zone. There were several problems associated with remote sensing aspects of this project. These problems resulted in inaccurate classification of species and a redundancy of mapping for large areas. This thesis will review the remote sensing methods used for the mapping project, analyze the associated errors within the map product, and lastly offer an alternative approach, incorporating the use of iterative remote sensing, for mapping the vegetation of Lake Okeechobee and other areas of complex vegetation.
Title: Iterative remote sensing as an alternative for complex vegetation mapping.
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Name(s): Boutiette, Robert L.
Florida Atlantic University, Degree grantor
Roberts, Charles, Thesis advisor
Type of Resource: text
Genre: Electronic Thesis Or Dissertation
Issuance: monographic
Date Issued: 1997
Publisher: Florida Atlantic University
Place of Publication: Boca Raton, Fla.
Physical Form: application/pdf
Extent: 105 p.
Language(s): English
Summary: The South Florida Water Management District in conjunction with Florida Atlantic University began an effort to record vegetation invading Lake Okeechobee in 1994. This effort included a mapping project that would include all detectable vegetation within the expanding littoral zone. There were several problems associated with remote sensing aspects of this project. These problems resulted in inaccurate classification of species and a redundancy of mapping for large areas. This thesis will review the remote sensing methods used for the mapping project, analyze the associated errors within the map product, and lastly offer an alternative approach, incorporating the use of iterative remote sensing, for mapping the vegetation of Lake Okeechobee and other areas of complex vegetation.
Identifier: 9780591624922 (isbn), 15491 (digitool), FADT15491 (IID), fau:12255 (fedora)
Collection: FAU Electronic Theses and Dissertations Collection
Note(s): Charles E. Schmidt College of Science
Thesis (M.A.)--Florida Atlantic University, 1997.
Subject(s): Vegetation mapping--Remote sensing
Phytogeography
Geographic information systems
Held by: Florida Atlantic University Libraries
Persistent Link to This Record: http://purl.flvc.org/fcla/dt/15491
Sublocation: Digital Library
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.
Use and Reproduction: http://rightsstatements.org/vocab/InC/1.0/
Host Institution: FAU
Is Part of Series: Florida Atlantic University Digital Library Collections.