National ASTER Map Kaolin group index

B6/B5 (potential includes: pyrophyllite, alunite, well-ordered kaolinite) Blue is low content, Red is high content Useful for mapping: (1) different clay-type stratigraphic horizons; (2) lithology-overprinting hydrothermal alteration, e.g. high sulphidation, "advanced argillic" alteration comprising pyrophyllite, alunite, kaolinite/dickite; and (3) well-ordered kaolinite (warmer colours) versus poorly-ordered kaolinite (cooler colours) which can be used for mapping in situ versus transported materials, respectively. -- This record represents data published by NCI. It uses catalogue metadata modified from Geoscience Australia. See our Record Lineage Information for more details. Credit All the derived geoscience products are copyright owned by CSIRO, Geoscience Australia and the Geological Surveys of Western Australia, South Australia, Northern Territory and Queensland who financially sponsored this project. See https://doi.org/10.4225/08/51400D6F7B335 for further details. The Geophysics 2030 project received co-investment from AuScope and the Australian Research Data Commons (ARDC) to support the data curation at the National Computational Infrastructure (NCI Australia) (https://doi.org/10.47486/XN002). AuScope, the ARDC and NCI Australia are enabled by the National Collaborative Research Infrastructure Strategy (NCRIS). | For detailed product notes and history please see associated "NATIONAL ASTER MAP PRODUCT NOTES" (Cudahy, Tom. Satellite ASTER Geoscience Product Notes for Australia. CSIRO: CSIRO; 2012. https://doi.org/10.4225/08/584d948f9bbd1). More accurate mapping of land surface composition at a continental-scale for improved resource exploration is becoming possible through a new generation of remote sensing technologies. These include the multi-spectral Japanese ASTER sensor onboard the US TERRA satellite which was launched in December 1999 and has now collected an image archive that effectively covers the Earth's land surface three times over. ASTER calibration, processing and standardisation approaches have been produced as part of a large multi-agency project to facilitate uptake of these techniques and make them easily integrated with other datasets in a GIS. Collaborative research, undertaken by Geoscience Australia, the Commonwealth Scientific Research Organisation (CSIRO) and state and industry partners, on the world-class Mt Isa mineral province in Queensland was completed in 2008 as a test-case for these new methods. The project demonstrat