Detecting and Assessing Aggregate Human Pedestrian Migration Patterns Using High Resolution Multispectral Imagery and Geographic Information Systems
Date
2012-05
Authors
Grannis, Warren
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Abstract
This 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
Description
Keywords
GIS, Geographic Information Systems, Remote sensing, Multispectral imagery, Immigration
Citation
Grannis, 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 (Unpublished thesis).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.