Hall-Beyer, MrykaZou, Huihui2013-05-272013-11-122013-05-272013Zou, 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/26773http://hdl.handle.net/11023/738The 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.engUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.SciencesASTERlithologyalteration mineralsmaster thesis10.11575/PRISM/26773