Pixel-based and Object-based Classification Methods for Surveying Wetland Vegetation with an Unmanned Aerial System

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dc.contributor.advisorJensen, Jennifer L. R.
dc.contributor.authorVillarreal, Nicholas R.
dc.contributor.committeeMemberHardy, Thomas B.
dc.contributor.committeeMemberCurrit, Nathan
dc.date.accessioned2016-11-07T22:17:43Z
dc.date.available2016-11-07T22:17:43Z
dc.date.issued2016-07
dc.description.abstractNo abstract prepared.
dc.description.departmentGeography and Environmental Studies
dc.formatText
dc.format.extent82 pages
dc.format.medium1 file (.pdf)
dc.identifier.citationVillarreal, N. R. (2016). <i>Pixel-based and object-based classification methods for surveying wetland vegetation with an unmanned aerial system</i> (Unpublished thesis). Texas State University, San Marcos, Texas.
dc.identifier.urihttps://hdl.handle.net/10877/6347
dc.language.isoen
dc.subjectUnmanned aerial system
dc.subjectWetland vegetation
dc.subjectPixel-based
dc.subjectObject-based
dc.subject.lcshWetlands--Remote sensingen_US
dc.titlePixel-based and Object-based Classification Methods for Surveying Wetland Vegetation with an Unmanned Aerial System
dc.typeThesis
thesis.degree.departmentGeography
thesis.degree.disciplineGeography
thesis.degree.grantorTexas State University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science

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