Twenty Years of ASTER Contributions to Lithologic Mapping and Mineral Exploration

• Published in: Remote sensing (Basel, Switzerland) Switzerland), 2019-06, Vol.11 (11), p.1394
• Main Authors: Abrams, Michael, Yamaguchi, Yasushi
• Format: Article
• Language: English
• Subjects: Aeronautics; Algorithms; Archives & records; ASTER; ASTER (radiometer); Broadband; Carbonates; Composition; Copper; Data acquisition; Data processing; Diagnostic systems; Emissions; Geologic mapping; Geological mapping; Geology; Hydrocarbons; Igneous rocks; Infrared scanners; Landsat; Landsat satellites; Learning algorithms; Lithology; Machine learning; Mapping; Mineral composition; Mineral exploration; Optical scanners; Reflection; Remote sensing; Scanners; Sedimentary rocks; Short wave radiation; Spatial resolution; Studies; Textbooks; Thermal emission; Uniqueness; Uranium
• ISSN: 2072-4292; 2072-4292
• DOI: 10.3390/rs11111394

The Advanced Spaceborne Thermal Emission and Reflection Radiometer is one of five instruments operating on the National Aeronautics and Space Administration (NASA) Terra platform. Launched in 1999, the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) has been acquiring optical data for 20 years. ASTER is a joint project between Japan’s Ministry of Economy, Trade and Industry; and U.S. National Aeronautics and Space Administration. Numerous reports of geologic mapping and mineral exploration applications of ASTER data attest to the unique capabilities of the instrument. Until 2000, Landsat was the instrument of choice to provide surface composition information. Its scanners had two broadband short wave infrared (SWIR) bands and a single thermal infrared band. A single SWIR band amalgamated all diagnostic absorption features in the 2–2.5 micron wavelength region into a single band, providing no information on mineral composition. Clays, carbonates, and sulfates could only be detected as a single group. The single thermal infrared (TIR) band provided no information on silicate composition (felsic vs. mafic igneous rocks; quartz content of sedimentary rocks). Since 2000, all of these mineralogical distinctions, and more, could be accomplished due to ASTER’s unique, high spatial resolution multispectral bands: six in the SWIR and five in the TIR. The data have sufficient information to provide good results using the simplest techniques, like band ratios, or more sophisticated analyses, like machine learning. A robust archive of images facilitated use of the data for global exploration and mapping.