The recent discovery of an important gold deposit in the Chucapaca region, southern Peru (Andean Cordillera) constitutes the central motivation of this study, aiming the geologic characterization of this region based on the application of indirect and direct methods of investigation. Using hyperspectral remote sensing images (HyMap), we will apply image digital processing and spatial data modeling techniques to identify the main hydrothermal alteration minerals; reflectance spectroscopy was also employed as an ancillary technique in the field and laboratory stages. The project also explores the statistical assessment of the accuracy of the mineralogical-spectral maps, comparing of the results of the spatial distribution of the minerals mapped through different computational maps with ground truth data based on mineralogical information obtained in the field. Thus, the best map(s) will be selected and integrated with geologic data, such as X-ray diffraction, SEM-EDS, and petrography. With the integration of the above mentioned data, we expect to characterize the main hydrothermal mineral phases, select the image processing techniques best suited for this case study, and to analyze the hydrothermal processes that resulted in the concentration of metals.
News published in Agência FAPESP Newsletter about the scholarship: