ABSTRACT:Mapping methods for iron oxides and clay minerals, using Landsat-8/Operational Land Imager (OLI) and Earth Observing 1 (EO-1)/Hyperion imagery integrated with airborne geophysical data, were applied in the N4, N5, and N4WS iron deposits, Serra Norte, Carajás, Brazil. Band ratios were achieved on Landsat-8/ OLI imagery, allowing the recognition of the main minerals from iron deposits. The Landsat-8/OLI imagery showed a robust performance for iron oxide exploration, even in vegetated shrub areas. Feature extraction and Spectral Angle Mapper hyperspectral classification methods were carried out on EO-1/Hyperion imagery with good results for mapping high-grade iron ore, the hematite-goethite ratio, and clay minerals from regolith. The EO-1/Hyperion imagery proved an excellent tool for fast remote mineral mapping in openpit areas, as well as mapping waste and tailing disposal facilities. An unsupervised classification was carried out on a data set consisting of EO-1/Hyperion visible near-infrared 74 bands, Landsat-8/OLIderived Normalized Difference Vegetation Index, Laser Imaging Detection and Ranging-derived Digital Terrain Model, and high-resolution airborne geophysical data (gamma ray spectrometry, Tzz component of gradiometric gravimetry data). This multisource classification proved to be an adequate alternative for mapping iron oxides in vegetated shrub areas and to enhance the geology of the regolith and mineralized areas.
KEYWORDS:Remote sensing; Multispectral and hyperspectral imagery; Iron ore.
RESUMO: Métodos de mapeamento para óxidos de ferro e argilas, aplicados em imagens Landsat-8/Operational Land Imager (OLI) e Earth Observing 1 (EO-1)/Hyperion e integrados com dados aerogeofísicos, foram testados nos depósitos de ferro de N4, N5 e N4WS, Serra
Southern Peru contains several small-and medium-sized epithermal Au-Ag (± base metals) deposits related to Miocene-Pliocene metallogenetic belts. Specifically, the characterization of the geology and mapping of hydrothermal alteration zones of the Chapi Chiara prospect, Canahuire deposit, and Cerro Millo and San Antonio de Esquilache targets were done with data acquired by Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) spaceborne sensor. ASTER mapping techniques included (1) band ratio and principal component analysis (Crósta technique) applied to the visible and near-infrared and short-wave infrared bands to produce a regional hydrothermal alteration map (alunite and/or kaolinite, illite-muscovite and/ or smectite, iron-bearing minerals) and (2) spectral indices and selective principal component analysis applied to the thermal infrared bands to detect quartz-and carbonates-bearing targets, respectively. These methods were used to establish a hydrothermal zoning pattern in paleostratovolcanoes, where the Chapi Chiara, Cerro Millo, and San Antonio de Esquilache targets are located. This zoning pattern was used to infer erosion conditions and the potential for metal deposits based on the mineralogy, which was also analyzed using reflectance spectroscopy and petrography. In addition, ASTER data were used to characterize the carbonate host rocks, the quartz-bearing units of the Yura Group, and the quartz-poor unit associated with the phreatic and phreatomagmatic breccias in the Canahuire deposit region. This characterization led to the development of a favorability model for the occurrence of "Canahuire-type" deposits based on spatial analysis using the fuzzy logic technique.
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