Hubbard, Bernard E.

About the author

U.S. Geological Survey, Eastern Region, Midwest area, Geology discipline
AVIRIS, Aeromagnetic surveying, Aluminum, Antimony, Arsenic, Atomic absorption analysis, Atomic emission spectroscopy, Barium, Beryllium, Bismuth, Cadmium, Calcium, Cerium, Cesium, Chromium, Cobalt, Copper, Digital elevation models, Dysprosium, Economic geology, Erbium, Europium, Gadolinium, Gallium, Geomorphology, Geophysics, Geospatial datasets, Gravimeter measurement, Handheld field spectroscopy, Hazard preparedness, Holmium, Hyperspectral imaging, Indium, Infrared imaging, Iron, Lahars, Land surface characteristics, Landslide susceptibility assessment, Lanthanide series elements, Lanthanum, Lead, Lineation (geologic), Lithium, Lutetium, Magnesium, Manganese, Maps and atlases, Mass spectroscopy, Mathematical modeling, Metallic mineral resources, Mineral resources, Molybdenum, Multispectral imaging, Natural resource exploration, Neodymium, Nickel, Niobium, Particle-beam spectroscopy, Phosphorus, Potassium, Praseodymium, Promethium, Rare earth elements, Remote sensing, Rocks and deposits, Rubidium, Samarium, Scandium, Silver, Sodium, Soil chemistry, Sorption, Strontium, Study areas, Sulfur, Tellurium, Terbium, Thallium, Thermal imaging, Thorium, Thulium, Tin, Titanium, Tungsten, Uranium, Vanadium, Visible light imaging, Volcanic eruption prediction, X-ray diffraction, Ytterbium, Yttrium, Zinc, Zirconium, Mineral deposit areas, Argillite, Phyllite, GeoTIFF, KML, Microsoft Excel format, Comma-delimited text, File geodatabase (ESRI), Shapefile, Spatial data, Rare earths

Lineament analysis of mineral areas of interest in Afghanistan

Lineaments derived from Thematic Mapper imagery using a manual process and those determined automatically, with GIS data.

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Determining mineralogical variations of aeolian deposits using thermal infrared emissivity and linear deconvolution methods

We apply linear deconvolution methods to derive mineral and glass proportions for eight field sample training sites at seven dune fields: (1) Algodones, California; (2) Big Dune, Nevada; (3) Bruneau, Idaho; (4) Great Kobuk Sand Dunes, Alaska; (5) Great Sa

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Alteration, slope-classified alteration, and potential lahar inundation maps of volcanoes for the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Volcano Archive

Identifies hydrothermally altered volcanic edifices and vulnerable areas downstream by mapping alteration on volcanoes, highlighting lahar prone watersheds using Global Digital Elevation Model data, and modeling via a lahar flow-fill modeling program

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Identification of mineral resources in Afghanistan-Detecting and mapping resource anomalies in prioritized areas using geophysical and remote sensing (ASTER and HyMap) data

Using geophysical and remote-sensing data, previously unrecognized targets of potential mineralization were identified; this report shows those targets along with the evidence for their potential.

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Assessment of bauxite, clay, and laterite deposits in Afghanistan

<p>Bauxite-bearing rocks are present in several regions of Afghanistan; specifically, the southeast segment of the North Afghanistan Platform, the eastern parts of South Afghanistan, and within the Afghanistan-North and -South Pamir Fold Regions. Bauxite-

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Geochemistry and mineralogy of soils collected in the lower Rio Grande valley, Texas

Chemical and mineralogical results of a soil study conducted in the lower Rio Grande valley, Texas. 210 samples were collected from soils formed on Holocene alluvial flood-plain and distributary channel deposits of the river valley.

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Hyperspectral surveying for mineral resources in Alaska

Alaska is a major producer of base and precious metals and has a high potential for additional undiscovered mineral resources. However, discovery is hindered by Alaska&rsquo;s vast size, remoteness, and rugged terrain. New methods are needed to overcome t

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Multiscale hyperspectral imaging of the Orange Hill Porphyry Copper Deposit, Alaska, USA, with laboratory-, field-, and aircraft-based imaging spectrometers

In the past decade, use of hyperspectral imaging (imaging spectroscopy) for mineral exploration and mining operations has been increasing at different spatial scales. In this paper, we focus on recent trends in applying imaging spectrometer data to: 1) ai

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GIS and data tables for focus areas for potential domestic nonfuel sources of rare earth elements

Locations of focus areas to be used for planning and collection of geophysical, geological, and topographic (lidar) data pertaining to the study of rare earth element resources in the US.

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