The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Targeting key alteration minerals in epithermal deposits in Patagonia, Argentina, using ASTER imagery and principal component analysis
Abstract
Principal component analysis (PCA) is an image processing technique that has been commonly applied to Landsat Thematic Mapper (TM) data to locate hydrothermal alteration zones related to metallic deposits. With the advent of the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), a 14-band multispectral sensor operating onboard the Earth Observation System (EOS)-Terra satellite, the availability of spectral information in the shortwave infrared (SWIR) portion of the electromagnetic spectrum has been greatly increased. This allows detailed spectral characterization of surface targets, particularly of those belonging to the groups of minerals with diagnostic spectral features in this wavelength range, including phyllosilicates (‘clay’ minerals), sulphates and carbonates, among others. In this study, PCA was applied to ASTER bands covering the SWIR with the objective of mapping the occurrence of mineral endmembers related to an epithermal gold prospect in Patagonia, Argentina. The results illustrate ASTER's ability to provide information on alteration minerals which are valuable for mineral exploration activities and support the role of PCA as a very effective and robust image processing technique for that purpose.
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Photogrammetric Engineering and Remote Sensing
Nicol, J., King, B., Quattrochi, D., Dowman, I. J., Ehlers, M., & Xiaoli, D. (2007) · UCL Discovery (University College London) · Cited by 9,325
Rowan, L. C., & Mars, J. C. (2003) · Remote Sensing of Environment · doi:10.1016/s0034-4257(02)00127-x · Cited by 827
Abrams, M. (2000) · International Journal of Remote Sensing · doi:10.1080/014311600210326 · Cited by 611
PRINCIPAL COMPONENT ANALYSIS FOR ALTERATION MAPPING
Loughlin, W. P. (1991) · Photogrammetric Engineering & Remote Sensing · Cited by 389
Cited by
Detecting Lithium (Li) Mineralizations from Space: Current Research and Future Perspectives
Cardoso-Fernandes, J., Teodoro, A. C., Lima, A., Perrotta, M., & Roda-Robles, E. (2020) · Applied Sciences · doi:10.3390/app10051785 · Cited by 71
Askari, G., Pour, A. B., Pradhan, B., Sarfi, M., & Nazemnejad, F. (2018) · Sensors · doi:10.3390/s18103213 · Cited by 45
Metadata
- Authors
- Crósta, A. P., De Souza Filho, C. R., Azevedo, F., & Brodie, C.
- Venue
- International Journal of Remote Sensing
- Publisher
- Informa UK Limited
- Published
- 2003-01
- Volume
- 24
- Issue
- 21
- Pages
- 4233-4240
- ISSN
- 0143-1161 (ISSN-L)
- 1366-5901
- OpenAlex
- W2074506246
- Cited by
- 473
- References
- 4
- FWCI
- 1.77
- Type
- journal article
- Language
- en
- Open access
- closed
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- Crósta, A. P., De Souza Filho, C. R., Azevedo, F., & Brodie, C. (2003). Targeting key alteration minerals in epithermal deposits in Patagonia, Argentina, using ASTER imagery and principal component analysis. International Journal of Remote Sensing. https://doi.org/10.1080/0143116031000152291
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