Climatic conditions and vegetation constrain the use of optical satellite imagery as an
exploration tool for hydrothermal ore mineralization in tropical and subtropical regions. In …

In this work, many of the fundamental and advanced spectral processing methods available
to geologic remote sensing are reviewed. A novel categorization scheme is proposed that …

Enhanced digital outcrop models attributed with hyperspectral reflectance data, or
hyperclouds, provide a flexible, three-dimensional medium for data-driven map** of …

Clay minerals are the most reactive and important inorganic components in soils, but soil
mineralogy classifies as a minor topic in soil sciences. Revisiting soil mineralogy has been …

An improved sparse subspace clustering (ISSC) method is proposed to select an
appropriate band subset for hyperspectral imagery (HSI) classification. The ISSC assumes …

Map** lithology and geological structures accurately remains a challenge in difficult
terrain or in active mining areas. We demonstrate that the integration of terrestrial and drone …

Detailed map** of mineral phases at centimeter scale can be useful for geological
investigation, including resource exploration. This work reviews case histories of ground …

Satellite remote sensing imagery is especially useful for geological investigations in
Antarctica because of its remoteness and extreme environmental conditions that constrain …

The spectral angle mapper (SAM), as a spectral matching method, has been widely used in
lithological type identification and map** using hyperspectral data. The SAM quantifies …

Geometallurgical assessment of orebodies in the mining industry typically relies on bench-
scale or lab-based characterization techniques. In this study, we investigate drone-and …