Note
Includes bibliography.
Member of
Contributors
Publisher
Florida Atlantic University
Date Issued
2020
EDTF Date Created
2020
Description
Land cover classification is necessary for understanding the state of the surface of the Earth at varying regions of interest. Knowledge of the Earth’s surface is critical in land-use planning, especially for the project study area Jupiter Inlet Lighthouse Outstanding Natural Area, where various vegetation, wild-life, and cultural components rely on adequate land-cover knowledge. The purpose of this research is to demonstrate the capability of UAV true color imagery for land cover classification.
In addition to the objective of land cover classification, comparison of varying spatial resolutions of the imagery will be analyzed in the accuracy assessment of the output thematic maps. These resolutions will also be compared at varying training sample sizes to see which configuration performed best.
In addition to the objective of land cover classification, comparison of varying spatial resolutions of the imagery will be analyzed in the accuracy assessment of the output thematic maps. These resolutions will also be compared at varying training sample sizes to see which configuration performed best.
Language
Type
Form
Extent
101 p.
Subject (Topical)
Identifier
FA00013454
Rights
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.
Additional Information
Includes bibliography.
Thesis (M.S.)--Florida Atlantic University, 2020.
FAU Electronic Theses and Dissertations Collection
Date Backup
2020
Date Created Backup
2020
Date Text
2020
Date Created (EDTF)
2020
Date Issued (EDTF)
2020
Extension
FAU
IID
FA00013454
Organizations
Attributed name: Florida Atlantic University
Attributed name: Department of Civil, Environmental and Geomatics Engineering
Attributed name: College of Engineering and Computer Science
Person Preferred Name
Castillo, Stephen M.
author
Graduate College
Physical Description
application/pdf
101 p.
Title Plain
OBJECT-BASED LAND COVER CLASSIFICATION OF UAV TRUE COLOR IMAGERY
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
2020
2020
Florida Atlantic University
Boca Raton, Fla.
Physical Location
Florida Atlantic University Libraries
Place
Boca Raton, Fla.
Sub Location
Digital Library
Title
OBJECT-BASED LAND COVER CLASSIFICATION OF UAV TRUE COLOR IMAGERY
Other Title Info
OBJECT-BASED LAND COVER CLASSIFICATION OF UAV TRUE COLOR IMAGERY