Lithologic and Mineral Mapping in the Chocolate Mountains, California, Using ASTER Data and Image Processing Techniques

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2013-05-27
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Abstract
The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) is a multispectral sensor, which has broad band coverage and is suitable for mineral and lithologic mapping. This research evaluated the use of ASTER imagery for both lithologic and mineral mapping in an arid area, Chocolate Mountains, southeast California. Various remote sensing techniques were applied to map alteration minerals including false colour composite, band ratios, Principal Components Analysis (PCA). Three classification techniques were used to map the lithologies, including Maximum Likelihood Classification (MLC), Spectral Angle Mapper (SAM) and Mixture Tuned Matched Filtering (MTMF). Finally, two prospectivity maps were produced by using weighted overlay and logistic regression models. The results indicate ASTER is very effective in mapping various alteration minerals. In lithologic mapping, MLC has the highest overall accuracy of 70.56%. SAM and MTMF have very low overall accuracy (37.15% and 16.78% in respect). The efficiency score for logistic regression is 90.5%, weighted overlay has an efficiency score of 84.7%. However, the results need further aseessment using field data.
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Citation
Zou, H. (2013). Lithologic and Mineral Mapping in the Chocolate Mountains, California, Using ASTER Data and Image Processing Techniques (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/26773