Document Details

Document Type:   Thesis
Title:   Image Processing and Spatial Analysis of Satellite Imagery for Geobiophysical Modeling of Sources for Increased Sediment Yield in the Greenup Pool of the Ohio River
Author:   Orr Lee Michael
College:   Science
Degree Program:   Physical Science, M.S.
Degree:   Master of Science
Committee Director:   Ralph E. Oberly, PhD
Document Availability:   Document available for World-Wide access.
Date of Defense:   8/13/2008

The study area for this research is the Greenup Pool of the Ohio River, with the Guyandotte River watershed used as a test case. The watershed passes through southwestern West Virginia. The objective of this research was to create and validate a model for extraction of parameters affecting sediment load from satellite imagery and spatial analysis to enrich the data available for the Ohio River. Unsupervised classification, accuracy assessment, map algebra, and suitability modeling were performed to address the research question. In the area selected for this research, extant data consisted of two points approximately 61.8 river miles apart. In many sediment yield models, adequate data is available for velocity, bathymetry, discharge, and sediment load. Results of this research show the potential for remotely sensed imagery and analysis of statistical and spatial relationships in a geobiophysical model to augment investigations of complex systems where conventional data are lacking. 

Download Document:   michael-orr-2008-ma.pdf