CONTINENT-SCALE MINERAL INFORMATION FROM ASTER MULTI-SPECTRAL SATELLITE DATA  

Authors / CoAuthors

Laukamp, C. | Caccatta, M. | Collings, S. | Cudahy, T. | Thomas, M.

Abstract

Continent-scale digital maps of mineral information of the Earth's land surface are now achievable using geoscience-tuned remote sensing systems. Multispectral ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) data and the derived mineral information provide the opportunity for characterization of geological and soil processes including the nature of the regolith (weathered) cover and alteration footprints of hydrothermal ore deposits [1,2]. This paper describes work from the Western Australian (WA) Centre of Excellence for 3D Mineral Mapping, which is part of CSIRO's Minerals Down Under Flagship and supported by Geoscience Australia and other Australian geosurveys, to generate a series of ASTER mineral group maps (both content and composition) for the whole Australian continent at a 30 m pixel resolution.. The input ASTER L1B radiance-at-sensor data were provided by ERSDAC (Japan), NASA and the USGS. These data were corrected for instrument, illumination, atmospheric and geometric effects. About 4000 ASTER scenes from an archive of >30,000 scenes were selected to generate the continent-scale ASTER map and Hyperion scenes were used for reduction and validation of the cross-calibrated ASTER mosaic to reflectance. Band ratios [2] were applied as base algorithms and masked to remove complicating effects, such as green vegetation, clouds and deep shadow. Types of generated geoscience products include (1) mineral group content maps based on continuum-band depths (e.g. Al-OH group content mapping Al-OH clays like muscovite, kaolinite and montmorillonite) and (2) mineral group composition maps (e.g. Al-OH group composition ranging from Si-rich white mica through to well ordered kaolinite) based on ratios but masked using the relevant content products.

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nonGeographicDataset

eCat Id

73290

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Keywords

• External PublicationAbstract

( Theme )

• satellite imagery

( Theme )

• remote sensing

( Theme )

• mapping

( Theme )

• image processing

( Theme )

• mineralogy

Australian and New Zealand Standard Research Classification (ANZSRC)

• Earth Sciences

• Published_Internal

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2012-01-01T00:00:00

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geoscientificInformation

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