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Research Article| May 01, 1980 Evaluation of multispectral middle infrared aircraft images for lithologic mapping in the East Tintic Mountains, Utah Anne B. Kahle; Anne B. Kahle 1Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California 91103 Search for other works by this author on: GSW Google Scholar Lawrence C. Rowan Lawrence C. Rowan 2U.S. Geological Survey, Reston, Virginia 22092 Search for other works by this author on: GSW Google Scholar Author and Article Information Anne B. Kahle 1Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California 91103 Lawrence C. Rowan 2U.S. Geological Survey, Reston, Virginia 22092 Publisher: Geological Society of America First Online: 02 Jun 2017 Online ISSN: 1943-2682 Print ISSN: 0091-7613 Geological Society of America Geology (1980) 8 (5): 234–239. https://doi.org/10.1130/0091-7613(1980)82.0.CO;2 Article history First Online: 02 Jun 2017 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn Email Permissions Search Site Citation Anne B. Kahle, Lawrence C. Rowan; Evaluation of multispectral middle infrared aircraft images for lithologic mapping in the East Tintic Mountains, Utah. Geology 1980;; 8 (5): 234–239. doi: https://doi.org/10.1130/0091-7613(1980)82.0.CO;2 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietyGeology Search Advanced Search Abstract Six channels of multispectral middle infrared (8 to 14 μrn) aircraft scanner data were acquired over the East Tintic mining district, Utah. This area has high relief and moderate vegetation and consists mainly of Tertiary silicic igneous rocks and Paleozoic quartzite and carbonate rocks that have been locally hydro thermally altered. These digital-image data were computer processed to create a color-composite image based on principal component transformations. Color differences in this image are related to the spectral differences in the surface material and allow discrimination of several rock types, depending primarily on their silica content. When combined with a visible and near infrared color-composite image from a previous flight, with limited field checking, it is possible to discriminate quartzite, carbonate rocks, quartz latitic and quartz monzonitic rocks, latitic and monzonitic rocks, silicified altered rocks, argillized altered rocks, and vegetation. This content is PDF only. Please click on the PDF icon to access. First Page Preview Close Modal You do not have access to this content, please speak to your institutional administrator if you feel you should have access.
Kahle et al. (Tue,) studied this question.