Analysis of Remote Sensing and Geographic Information System Technologies to Enhance Geological Mapping in Eagle Plain, Northern Yukon
Date
2015-09-25
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Abstract
This study presents an integrated remote sensing and GIS-based approach for the geological mapping in the study area based on field work. Landsat ETM+ and ASTER images were used. The image data were transformed using Principal Component Analysis (PCA), band ratioing and texture measurements (GLCM). Classification was performed on the original data and datasets of the combination of transformed data. Classification accuracy assessment and class signature separability analysis show that PCA-Ratio-GLCM dataset has the highest overall accuracy (62.27%, 63.29%) and class signature separability for both images. This result indicates that the integration of PCA, band ratioing and GLCM made a great contribution to improving lithological classification in the study area compared to original data. Based on classified images and transect analysis result from ASTER data, the lithological contacts of the previous geological map were revised and a new geological map and the corresponding geodatabase were produced for the study area.
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Geology
Citation
Zhao, S. (2015). Analysis of Remote Sensing and Geographic Information System Technologies to Enhance Geological Mapping in Eagle Plain, Northern Yukon (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/24821