Integration and Visualization of Mineralogical and Topographical Information Derived from ASTER and DEM Data

• Published in: Remote sensing (Basel, Switzerland) Vol. 11; no. 2; p. 162
• Main Authors: Kurata, Kana, Yamaguchi, Yasushi
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.01.2019
• Subjects: ASTER; ASTER (radiometer); Carbonate rocks; Clay; Clay minerals; Color; Color imagery; DEM; Digital Elevation Models; Digital imaging; Discrimination; Earth science; Emissivity; Geographical distribution; Geological mapping; Geology; Image processing; lithological mapping; Lithology; Methods; Mineral exploration; Mineralogy; Minerals; Mines; Remote sensing; Rocks; Saturation (color); Spectrum analysis; Thermal emission; thermal infrared; Topography; Australia; United States > US; Canberra Australian Capital Territory Australia; Japan; Nevada
• ISSN: 2072-4292; 2072-4292
• DOI: 10.3390/rs11020162

This paper proposes a method of combining and visualizing multiple lithological indices derived from Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data and topographical information derived from digital elevation model (DEM) data in a single color image that can be easily interpreted from a geological point of view. For the purposes of mapping silicate rocks, carbonate rocks, and clay minerals in hydrothermal alteration zones, two new indices derived from ASTER thermal infrared emissivity data were developed to identify silicate rocks, and existing indices were adopted to indicate the distribution of carbonate rocks and the species and amounts of clay mineral. In addition, another new method was developed to visualize the topography from DEM data. The lithological indices and topographical information were integrated using the hue–saturation–value (HSV) color model. The resultant integrated image was evaluated by field survey and through comparison with the results of previous studies in the Cuprite and Goldfield areas, Nevada, USA. It was confirmed that the proposed method can be used to visualize geological information and that the resulting images can easily be interpreted from a geological point of view.