Detecting and Assessing Aggregate Human Pedestrian Migration Patterns Using High Resolution Multispectral Imagery and Geographic Information Systems

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dc.contributor.advisorCurrit, Nathan A.
dc.contributor.authorGrannis, Warren
dc.contributor.committeeMemberLu, Yongmei
dc.contributor.committeeMemberJensen, Jennifer
dc.date.accessioned2012-05-29T20:02:21Z
dc.date.available2012-05-29T20:02:21Z
dc.date.issued2012-05
dc.description.abstractThis project seeks to use a combination of high resolution multispectral imagery analysis and geographic analysis to predict pedestrian migration patterns, especially those intended to evade detection. Methods of analyzing multispectral imagery will be explored, and combine those methods with geographic analysis of known migrant locations and likely routes, thereby demonstrating that a correlation can be established between geographic factors and migration patterns
dc.description.departmentGeography and Environmental Studies
dc.formatText
dc.format.extent58 pages
dc.format.medium1 file (.pdf)
dc.identifier.citationGrannis, W. (2012). <i>Detecting and assessing aggregate human pedestrian migration patterns using high resolution multispectral imagery and geographic information systems</i> (Unpublished thesis). Texas State University-San Marcos, San Marcos, Texas.
dc.identifier.urihttps://hdl.handle.net/10877/4144
dc.language.isoen
dc.subjectGIS
dc.subjectGeographic Information Systems
dc.subjectRemote sensing
dc.subjectMultispectral imagery
dc.subjectImmigration
dc.titleDetecting and Assessing Aggregate Human Pedestrian Migration Patterns Using High Resolution Multispectral Imagery and Geographic Information Systems
dc.typeThesis
thesis.degree.departmentGeography
thesis.degree.disciplineGeography
thesis.degree.grantorTexas State University-San Marcos
thesis.degree.levelMasters
thesis.degree.nameMaster of Science

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