Using scientific visualization to enhance historical aerial photography in documenting vegetation change over time: Melaleuca quinquenervia, a case study

The objective of this thesis is to conduct a time series analysis of melaleuca growth in the littoral zone of western Lake Okeechobee, using historical aerial photography and Scientific Visualization, Image Enhancement and Image Exploration techniques are examined and compared. Problems associated with creating a time series analysis using aerial photography for use in an integrated GIS are explored. A spatial analysis of environmental factors affecting the growth of Melaleuca quinquenervia is conducted, and an analysis of the validity of such statistical inferences for use in future decision making is examined. Results indicate that managed water levels inside Lake Okeechobee did indeed have an effect on the rate of growth of Melaleuca quinquenervia. Recommendations for future data gathering and study are outlined.