Satellite image enhancements, lineament identification and quantitative comparison with fracture data, central New York State
Cruz, Cheri Ann
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This report quantitatively tests the correlation between lineaments selected from three enhancements of Landsat and ASTER images to fractures that were measured in the Finger Lakes Region of New York for the purpose of determining the optimal image enhancement. I enhanced satellite images using various algorithms to accentuate the visibility of lineaments. Enhancements included a principal component analysis of ASTER data and a combination of ASTER and Landsat bands that have the least correlation. Lineaments were selected and then I utilized the weights of evidence method to determine whether fractures and lineaments of the same trend are coincident. Results from this study show that the Landsat and ASTER composite image is optimal for selecting lineaments that are related to strike parallel fractures, whereas the ASTER principal component analysis is optimal for selecting lineaments that are related to cross strike fractures in the study area. Use of a filter that constrained the lineaments to greater than 500m in length produced better correlation but was not necessary for selecting lineaments related to fractures. Of all the processing techniques considered, the Landsat and ASTER composite image with a lineament length filter has the most positive correlation.* *This dissertation is a compound document (contains both a paper copy and a CD as part of the dissertation). The CD requires the following system requirements: Adobe Acrobat.