Mineral mapping on the Chilean–Bolivian Altiplano using co-orbital ALI, ASTER and Hyperion imagery: Data dimensionality issues and solutions

• Published in: Remote sensing of environment Vol. 99; no. 1; pp. 173 - 186
• Main Authors: Hubbard, Bernard E., Crowley, James K.
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 15-11-2005
• Subjects: ALI; ASTER; Bolivia, Altiplano; Central Andes; Emissions; EO-1; Hyperion; Mapping; Mineral mapping; Minerals; Multispectral and hyperspectral dimensionality; Q1; Q2; Q3; Remote sensing; Sensors; Terra; Volcanoes; ASTER; Hyperion; Central Andes; Volcanoes; Mineral mapping; Multispectral and hyperspectral dimensionality; ALI; EO-1; Terra
• ISSN: 0034-4257; 1879-0704
• DOI: 10.1016/j.rse.2005.04.027

Hyperspectral data coverage from the EO-1 Hyperion sensor was useful for calibrating Advanced Land Imager (ALI) and Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) images of a volcanic terrane area of the Chilean–Bolivian Altiplano. Following calibration, the ALI and ASTER datasets were co-registered and joined to produce a 13-channel reflectance cube spanning the Visible to Short Wave Infrared (0.4–2.4 μm). Eigen analysis and comparison of the Hyperion data with the ALI
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ASTER reflectance data, as well as mapping results using various ALI+ASTER data subsets, provided insights into the information dimensionality of all the data. In particular, high spectral resolution, low signal-to-noise Hyperion data were only marginally better for mineral mapping than the merged 13-channel, low spectral resolution, high signal-to-noise ALI
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ASTER dataset. Neither the Hyperion nor the combined ALI
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ASTER datasets had sufficient information dimensionality for mapping the diverse range of surface materials exposed on the Altiplano. However, it is possible to optimize the use of the multispectral data for mineral-mapping purposes by careful data subsetting, and by employing other appropriate image-processing strategies.