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Overview

PDepth
The Frontier Geophysical Methods and Applications project supports a broad range of activities that spans instrument development and data acquisition tools, novel methods for processing geophysical datasets, uncertainty quantification, laboratory measurement of physical properties, and techniques for integrating geophysical data into interpretive geological models. View full size image.

Why is USGS conducting this project?

Mineral resource studies are fundamentally subsurface studies — from the need to characterize the geological structures that host important deposits to better understanding the landscape and environmental impacts of resource development, sophisticated geophysical methods and instruments are needed. The Mineral Resources Program, and the USGS as a whole, has a continuing need for the development of state-of-the-art geophysical methods and instruments that have application to mineral resource and mineral environmental studies.

What geophysical research and development is USGS doing?

The Frontier Geophysical Methods and Applications project focuses on the development of novel geophysical techniques that improve our ability to understand Earth's subsurface, with broad relevance to the Mineral Resources Program and the USGS Science Strategy. Our goal is to develop and maintain state-of-the art geophysical capabilities that support the diverse science needs of USGS projects that aim to meet the challenges of the 21st century by helping to improve the economic and environmental health and prosperity of people and communities across the Nation and around the world.

The main objectives of our research include:

  • Develop advanced data processing and interpretation tools that enhance the value of geophysical datasets for USGS science
  • Maintain readiness of geophysical instruments at the Crustal Geophysics and Geochemistry Science Center
  • Develop new instrumentation and adapt existing tools in support of ongoing projects
  • Support petrophysical laboratory operations that provide links between geophysical, geological, and geochemical properties
  • Provide geophysical expertise and integration with other federal, academic, and private research organizations

Our project supports a broad range of activities that spans new instrument development and data acquisition tools, novel methods for processing geophysical datasets, uncertainty quantification, and ultimately for integrating geophysics into interpretive geological models.

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Current Activities

Geophysical Theory and Software Development

Contact: Burke Minsley, bminsley@usgs.gov

The objectives of this subtask are the development of new geophysical methods and the improvement of existing geophysical methods. Method development occurs through formulation of new theory and extension of existing theory. The theories are implemented and tested by the development of new software that is applied to the processing and interpretation of geophysical data.

  • Improving geological and mineral resource inferences from combined geophysical datasets
    • Geological model uncertainty quantification using airborne electromagnetic (AEM) data
    • Geophysical responses to numerical and conceptual deposit and hydrogeothermal models
  • Linking remote sensing and geophysical data
    • Identifying criteria and properties that link surface and subsurface data
    • Processing and compilation of select datasets
  • Frontier applications and methods
    • Airborne magnetic data collection in Antarctica and Greenland
    • Electromagnetic investigations of analog mineralizing systems – continental rift and arc magmatic systems
    • Development/application of 2D/3D modeling approaches to onshore/offshore electromagnetic (EM) data
  • Core geophysical methods and software
    • Magnetotelluric static shift development and report
    • Geophysical response analysis to conceptual deposit and hydrogeothermal models
    • Completion of ground penetrating radar (GPR) time-series analysis software tools
    • High-altitude magnetic compensation using CompGrad
    • GSTAC field testing – magnetic coil facility calibration
    • Tensor magnetic gradiometer case history
    • Algorithm translation with USGS Core Science Analytics, Synthesis and Libraries (CSAS&L)

Geophysical Instrument Development

Contact: Michael Powers, mhpowers@usgs.gov

The USGS and its Mineral Resources Program require the development of new geophysical instrumentation, and the maintenance of existing geophysical instrumentation. Our primary objective is the development of new geophysical instrumentation that will lead to improved data resolution or provide other new information about geological, hydrological, or cultural sources of geophysical anomalies. A secondary objective is the maintenance of existing geophysical instrumentation and laboratories.

  • Petrophysics laboratory
  • Land gravity gradiometer - instrument testing and development
  • UAV opportunities for geophysical sensors
  • Geophysical test site
  • Geophysical instrument laboratory

Alaska Geophysical Data Processing

Contact: Bruce Smith, bsmith@usgs.gov

Alaska is a geologic frontier with substantial mineral resource potential. Complex geology, limited outcrop, and high logistical costs make airborne geophysics essential for efficient reconnaissance. Available geophysical data for Alaska have not been fully analyzed. We are performing an advanced analysis of electromagnetic data to map geologic trends, structural geologic and tectonic patterns, and identify key lithologies for direct integration with geologic framework and mineral potential studies.

Monthly Webinar Series

Contact: Burke Minsley, bminsley@usgs.gov

We coordinate an internal, monthly webinar series to highlight cutting-edge geophysical research and applications related to our project's research, as well as other innovative work related to remote sensing and geochemistry by Crustal Geophysics and Geochemistry Science Center scientists and other USGS colleagues.

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Completed Activities

Geophysical resesarch and development has been conducted at our science center through previous research projects.

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Geophysical Instrumentation Laboratory

Contact: Craig Moulton, cmoulton@usgs.gov

The Geophysical Instrumentation Laboratory provides electronic, software, and mechanical design and fabrication services for projects within the Crustal Geophysics and Geochemistry and Central Mineral and Environmental Resources Science Centers.

  • Machine shop with tools for wood, metal, plastic, and fiberglass fabrication
  • Expertise with LabVIEW software for data acquisition and signal processing
  • Electronic design, analysis and fabrication capability includes signal filtering, digital logic and circuit design, and more
geophysical equipment in field
Geophysical equipment in the field. Photograph by USGS.

Capabilities

Mechanical

machine shop
USGS Geophysical Instrumentation Laboratory machine shop in Denver, CO. Photograph by USGS.

The machine shop is fully equipped and has expertise with the following:

  • CAD documentation skills
  • Full wood shop is available with radial, table, miter and band saws
  • Expertise in fabrication with plastics and fiberglass
  • Experience with lathe and mill metal fabrication

Software

data spectra
Example of spectra from geophysical data and signal processing.

Software is developed for data acquisition and signal processing using LabVIEW, a product of National Instruments. LabVIEW is a powerful, graphical programming language aimed at the design of measurement and control systems. The Lab staff has a wealth of LabVIEW experience developing both small and large projects. Some of the advantages of LabVIEW are:

  • Optimized for the parallel execution of tasks that have real-world timing constraints
  • Built on top of tested, supported, and maintained libraries of lower level code
  • Development is graphical rather than code based
  • Many instruments and data acquisition systems provide LabVIEW drivers

Electronics

electric panel
Electronics panel for geophysical equipment. Photograph by USGS.

Electronic design, analysis and fabrication capabilities include:

  • Signal filtering
  • Digital logic design
  • Microcontroller programming
  • Computer data acquisition systems (A/D, D/A)
  • Low level and power amplifiers
  • Fiber and laser optics
  • Cabling and interconnects
  • Parallel and serial data interfaces (RS232, Bluetooth, USB, GPIB)
  • Low and high frequency circuits
  • Motor drives and control (stepper, PM DC, …)
  • Circuit modeling using computer simulation programs
  • CAD programing to design and layout printed circuit boards (2, 4, 6… layers)
  • Experience in working with outside printed circuit board manufacturing vendors
  • Wire-wrap fabrication for simple circuit boards

Facilities

Machine Shop Facilities
  • Large engine lathes
  • Large mills and all associated tooling, including bracketing and jigging equipment
  • Large throat band saws (horizontal and vertical)
  • Sheet metal: shear, brake, roller and punches
  • Full welding capability (including oxyacetylene / MIG / TIG / arc / brazing)
  • Plasma cutter
  • Spot welder
  • Bead blasting, grinders, and drill presses
Wood Shop Facilities
  • Radial saw
  • Table saw
  • Miter saws (wood and abrasive)
  • Band saw
  • Drill press
  • Router and router table
  • Joiner and planer
Electronic Lab Facilities
  • Network analyzers
  • Oscilloscopes
  • Function generators
  • Transducers
    • temperature, pressure, angle, acceleration, magnetic field, voltage, current, …

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Petrophysics Laboratory

Contact: David V. Smith, dvsmith@usgs.gov

petrophysics lab
Instrumentation used to make electrical property measurements in the USGS Petrophysics Laboratory located in Denver, CO. Photograph by Robert Horton, USGS.

The Petrophysics Laboratory is a multi-user facility that provides physical property data of earth materials for geophysical research. The Laboratory is equipped to make physical property measurements on rocks and sediment including density, magnetic properties, electrical properties, and radiometric properties.

Knowledge of a site's physical properties is an important asset in planning geophysical surveys; particularly in selection of an appropriate method and in selecting optimum survey parameters such as array size and frequency. Knowing the range of physical properties for a given area help refine geophysical interpretations and provide justification for constraining model input parameters. The integration of physical property data with mineralogical and geochemical data provides an important link between the rocks and ores to their observed geophysical signatures.

Physical property measurements can be made in the field, in boreholes, and in the laboratory. There are a number of benefits to determining physical properties in a laboratory setting, for example:

  • Multiple samples can be prepared and measured using exactly the same method.
  • Different measurements can be made on exactly the same sample.
  • Samples can be measured repeatedly to observe time-varying responses.
  • Ability to select and vary measurement parameters:
    • Frequency
    • Current density
    • Temperature
    • Hydration state
    • Saturating fluid
  • Measured samples can be submitted for other analyses, such as mineralogy and geochemistry, for correlation with geophysical properties.

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High Performance Computing

We maintain an 84-core Linux cluster that is used for algoritm development and processing moderate-large datasets using parallel computing tools, including licenses for Matlab's Distributed Computing Server. We also work with USGS Core Science Systems Mission Area High Performance Computing staff to improve algorithms, and to gain access to larger computing resources.

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Geophysical Test Site

In 2015, we began to establish a geophysical test site at the USGS Boulder Geomagnetic Observatory. We are continuing to collect new baseline datasets for a broad suite of geophysical instruments. The test site will be used to calibrate and assess the accuracy of in-house and commercial geophysical tools, to develop and test new instrumentation, and for training Crustal Geophysics and Geochemistry Science Center scientists and partners.

test site
Crustal Geophysics and Geochemistry Science Center scientists at the Boulder geophysical test site. Photograph by USGS.

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Data

Geophysical Data Portal - Mineral Resources On-Line Spatial Data

USGS Data Releases

Anderson, E.D., Parks, H.L., Jenkins, M.C., Nguyen, D.M., Hearn, B.C., Jr, and Zientek, M.L., 2016, Missouri Breaks Project, Montana - Digitized aeromagnetic data: U.S. Geological Survey data release, http://dx.doi.org/10.5066/F7TH8JTN.

Ball, Lyndsay B., 2016, Airborne electromagnetic and magnetic survey data, East Poplar Oil Field and surrounding area, October 2014, Fort Peck Indian Reservation, Montana: U.S. Geological Survey, https://dx.doi.org/10.5066/F7QC01MD.

Caine, J.S., Minor, S.A., Grauch, V. J. S., Budahn, J.R., Keren, T.T., and Johnson, M.R., 2016, Data for a comprehensive survey of fault zones, breccias, and fractures in and flanking the eastern Española Basin, Rio Grande Rift, New Mexico: U.S. Geological Survey data release, https://doi.org/10.5066/F7222RXW.

Drenth, B.J., 2016, Airborne Magnetic Total-Field Survey, Manchester Region, Iowa, USA: U.S. Geological Survey, http://dx.doi.org/10.5066/F7416V52.

Drenth, B.J., 2016, Principal facts of gravity data in the southern San Luis Basin, northern New Mexico: U.S. Geological Survey, http://dx.doi.org/10.5066/F7JQ0Z5N.

Fitterman, David V., 2016, Transient Electromagnetic Sounding Data Collected in the San Luis Valley, Colorado Near Great Sand Dunes National Park and Preserve, and Alamosa National Wildlife Preserve (Field Seasons 2007, 2009, and 2011): U.S. Geological Survey, https://dx.doi.org/10.5066/F7D21VQ5.

Grauch, V.J.S., and Drenth, B.J., 2016, Physical properties by geologic unit in the southern San Luis Basin, New Mexico: U.S. Geological Survey data release, https://doi.org/10.5066/F7RJ4GMB.

McCafferty, A.E., 2016, Airborne magnetic and radiometric survey, Ironton, Missouri area: U.S. Geological Survey data release, http://dx.doi.org/10.5066/F7B56GT8.

McCafferty, A.E., 2016, Helicopter magnetic and gravity gradiometry survey over the Pea Ridge iron mine and surrounding area, southeast Missouri, 2014: U.S. Geological Survey data release, http://dx.doi.org/10.5066/F78P5XM4.

Minsley, B.J., Pastick, N.J., Wylie, B.K., Brown, D.R.N., and Kass, M.A., 2016, Fire impacts on permafrost in Alaska: Geophysical and other field data collected in 2014: U.S. Geological Survey data release, http://dx.doi.org/10.5066/F7959FM0.

Rodriguez, B.D., 2016, Magnetotelluric sounding data, stations 1 to 22, Southern San Luis Valley, Colorado, 2006: U.S. Geological Survey, http://dx.doi.org/10.5066/F7SJ1HPT.

Shah, A.K., 2016, Airborne Geophysical Surveys over the Eastern Adirondacks, New York State: U.S. Geological Survey data release, https://dx.doi.org/10.5066/F72R3PT0.

Shah, A.K., 2014, Airborne Geophysical Surveys over the 2011 Mineral, Virginia, Earthquake Area: U.S. Geological Survey data release, http://dx.doi.org/10.5066/F78K773V.

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Publications - Reports and Journal Articles

2017

Anderson, E.D., Monecke, T., Hitzman, M.W., Zhou, W., and Bedrosian, P.A., 2017, Mineral Potential Mapping in an Accreted Island-Arc Setting Using Aeromagnetic Data: An Example from Southwest Alaska: Economic Geology, 112(2), p. 375-396, doi:10.2113/econgeo.112.2.375.

Christensen, N.K., Minsley, B.J., and Christensen, S., 2017, Generation of 3-D hydrostratigraphic zones from dense airborne electromagnetic data to assess groundwater model prediction error: Water Resources Research, 53(2), p. 1019-1038, doi:10.1002/2016WR019141.

Elwaseif, M., Robinson, J., Day-Lewis, F.D., Ntarlagiannis, D., Slater, L.D., Lane, J.W., Minsley, B.A., Jr., and Schultz, G., 2017, A Matlab-Based Frequency-Domain Electromagnetic Inversion Code (FEMIC) with Graphical User Interface: Computers & Geosciences, 99, p. 61-71, doi:10.1016/j.cageo.2016.08.016.

Fitterman, D.V., 2017, Transient electromagnetic soundings in the San Luis Valley, Colorado, near the Great Sand Dunes National Park and Preserve and the Alamosa National Wildlife Refuge (field seasons 2007, 2009, and 2011): U.S. Geological Survey Data Series 1043, 39 p., https://doi.org/10.3133/ds1043.

Grauch, V.J.S., Bauer, P.W., Drenth, B.J., and Kelson, K.I., 2017, A shifting rift—Geophysical insights into the evolution of Rio Grande rift margins and the Embudo transfer zone near Taos, New Mexico: Geosphere, 13(3), p. 870-910, doi:10.1130/GES01425.1.

Gulbrandsen, M.L., Ball, L.B., Minsley, B.J., and Hansen, T.M., 2017, Automatic mapping of the base of aquifer — A case study from Morrill, Nebraska: Interpretation, 5(2), T231-T241, doi:10.1190/INT-2016-0195.1.

Rodriguez, B.D., 2017, Semiautomatic approaches to account for 3-D distortion of the electric field from local, near-surface structures in 3-D resistivity inversions of 3-D regional magnetotelluric data: U.S. Geological Survey Open-File Report 2017–1007, 25 p., https://doi.org/10.3133/ofr20171007.

2016

Bedrosian, P.A., 2016, Making it and breaking it in the Midwest: Continental assembly and rifting from modeling of EarthScope magnetotelluric data: Precambrian Research, 278, p. 337-361, doi:10.1016/j.precamres.2016.03.009.

Bedrosian, P.A., and Box, S.E., 2016, Highly conductive horizons in the Mesoproterozoic Belt-Purcell Basin: Sulfidic early basin strata as key markers of Cordilleran shortening and Eocene extension: GSA Special Papers, 522, p. 305-339, doi:10.1130/2016.2522(12).

Bedrosian, P.A., Schamper, C., and Auken, E., 2016, A comparison of helicopter-borne electromagnetic systems for hydrogeologic studies: Geophysical Propecting, 64(1), p. 192-215, doi:10.1111/1365-2478.12262.

Gulbrandsen, M.L., Minsley, B.J., Ball, L.B., and Hansen, T.M., 2016, Semiautomatic mapping of permafrost in the Yukon Flats, Alaska: Geophysical Research Letters, 43(23), p. 12131-12137, doi:10.1002/2016GL071334.

Hammarstrom, J.M., Mihalasky, M.J., Ludington, S., Phillips, J.D., Berger, B.R., Denning, P.D., Dicken, C.L., Mars, J.C., Zientek, M.L., Herrington, R.J., and Seltman, R., 2016, Undiscovered porphyry copper resources in the Urals—A probabilistic mineral resource assessment: Ore Geology Reviews, 85, p. 181-203, doi:10.1016/j.oregeorev.2016.09.007.

Love J.J., Pulkkinen, A., Bedrosian, P.A., Jonas, S., Kelbert, A., Rigler, E.J., Finn, C.A., Balch, C.C., Rutledge, R., Waggel, R.M., Sabata, A.T., Kozyra, J.U., and Black, C.E., 2016, Geoelectric hazard maps for the continental United States: Geophysical Research Letters, 43(9)18), p. 9415-9424, doi:10.1002/2016GL070469.

McCafferty, A.E., Phillips, J.D., and Driscoll, R.L., 2016, Magnetic and gravity gradiometry framework for Mesoproterozoic iron oxide-apatite and iron oxide-copper-gold deposits, southeast Missouri: Economic Geology, 111(8), p. 1859-1882, doi:10.2113/econgeo.111.8.1859.

Paxman, G.J.G., Watts, A.B., Ferraccioli, F., Jordan, T.A., Bell, R.E., Jamieson, S.S.R., and Finn, C.A., 2016, Erosion-driven uplift in the Gamburtsev Subglacial Mountains of East Antarctica: Earth and Planetary Science Letters, 452, p. 1-14, doi:10.1016/j.epsl.2016.07.040.

Shillington, D.L., Gaherty, J.B., Ebinger, C.J., Scholz, C.A., Selway, K., Nyblade, A.A., Bedrosian, P.A., Class, C., Nooner, S.L., Pritchard, M.E., Elliott, J., Chindandali, P.R.N., Mbogoni, G., Ferdinand, R.W., Boniface, N., Manya, S., Kamihanda, G., Saria, e., Mulibo, G., Salima, J., Mruma, A., Kalindekafe, L., Accardo, N.J., Ntambila, D., Kachingwe, M., Mesko, G.T., McCartney, T., Maquay, M., O'Donnell, J.P., Tepp, G., Mtelela, K., Trinhammer, P., Wood, D., Aaron, E., Gibaud, M., Rapa, M., Pfeifer, C., Mphepo, F., Gondwe, D., Arroyo, G., Eddy, C., Kamoga, B., and Moshi, M., 2016, Acquisition of a Unique Onshore/Offshore Geophysical and Geochemical Dataset in the Northern Malawi (Nyasa) Rift: Seismological Research Letters, 87(6), p. 1406-1416, doi:10.1785/0220160112.

Smith, K.S., Phillips, J.D., McCafferty, A.E., and Clark, R.N., eds., 2016, Developing integrated methods to address complex resource and environmental issues: U.S. Geological Survey Circular 1413, 160 p., http://dx.doi.org/10.3133/cir1413.

Valder, J.F., Delzer, G.C., Carter, J.M., Smith, B.D., and Smith, D.V., 2016, Construction of a groundwater-flow model for the Big Sioux aquifer using airborne electromagnetic methods, Sioux Falls, South Dakota: U.S. Geological Survey Fact Sheet 2016–3075, 4 p., http://dx.doi.org/10.3133/fs20163075.

2015

Bedrosian, P.A., and Love, J.J., 2015, Mapping geoelectric fields during magnetic storms: Synthetic analysis of empirical United States impedances: Geophysical Research Letters, 42(23), p. 10,160–10,170, doi:10.1002/2015GL066636.

Bloss, B.R., and Bedrosian, P.A, 2015, Laboratory electrical resistivity analysis of geologic samples from Fort Irwin, California, chap. E of Buesch, D.C., ed., Geology and geophysics applied to groundwater hydrology at Fort Irwin, California: U.S. Geological Survey Open-file Report 2013-1024, 104 p., http://dx.doi.org/10.3133/ofr20131024E.

Ellefsen, K.J., Van Gosen, B.S., Fey, D.L., Budahn, J.R., Smith, S.M., and Shah, A.K., 2015, First steps of integrated spatial modeling of titanium, zirconium, and rare earth element resources within the Coastal Plain sediments of the southeastern United States: U.S. Geological Survey Open-File Report 2015–1111, 40 p., https://doi.org/10.3133/ofr20151111.

Parsekian, A.D., Singha, K., Minsley, B.J., Holbrook, W.S. and Slater, L., 2015, Multiscale geophysical imaging of the critical zone: Reviews of Geophysics, 53(1), p. 1-26, doi:10.1002/2014RG000465.

Phillips, J.D., 2015, 11.12 – Tools and Techniques: Gravitational Method, in Schubert, G., Editor-in-Chief, Treatise on Geophysics (Second Edition) Volume11: Resources in the Near-Suface Earth: Elsevier, p. 393-418, doi:10.1016/B978-0-444-53802-4.00197-4.

Rodriguez, B.D., and Sweetkind, D.S., 2015, Obtaining valid geologic models from 3-D resistivity inversion of magnetotelluric data at Pahute Mesa, Nevada: U.S. Geological Survey Open-File Report 2015–1019, 104 p., http://dx.doi.org/10.3133/ofr20151019.

2014

Bedrosian, P.A., Ball, L.B., and Bloss, B.R., 2014, Airborne electromagnetic data and processing within Leach Lake Basin, Fort Irwin, California, chap. G of Buesch, D.C., ed., Geology and geophysics applied to groundwater hydrology at Fort Irwin, California: U.S. Geological Survey Open File Report 2013–1024, 20 p., http://dx.doi.org/10.3133/ofr20131024G.

Bedrosian, P.A., and Feucht, D.W., 2014, Structure and tectonics of the northwestern United States from EarthScope USArray magnetotelluric data: Earth and Planetary Science Letters, 402, p. 275-289, doi:10.1016/j.epsl.2013.07.035.

Berger, B.R., 2014, Petrology and chemistry of the Green Acres gabbro complex near Winchester, Riverside County, California: GSA Memoirs, 211, p. 365-394, doi:10.1130/2014.1211(10).

Berger, B.R., Henley, R.W., Lowers, H.A., and Pribil, M.J., 2014, The Lepanto Cu–Au deposit, Philippines: A fossil hyperacidic volcanic lake complex: Journal of Volcanology and Geothermal Research, 271, p. 70-82, doi:10.1016/j.jvolgeores.2013.11.019.

Burgess, M.K., and Bedrosian, P.A., 2014, Time-domain electromagnetic surveys at Fort Irwin, San Bernardino County, California, 2010–12, chap. F of Buesch, D.C., ed., Geology and geophysics applied to groundwater hydrology at Fort Irwin, California: U.S. Geological Survey Open-File Report 2013–1024, 64 p., http://dx.doi.org/10.3133/ofr20131024F.

Burton, B.L., Powers, M.H., and Ball, L.B., 2014, Characterization of subsurface stratigraphy along the lower American River floodplain using electrical resistivity, Sacramento, California, 2011: U.S. Geological Survey Open-File Report 2014–1242, 62 p., http://dx.doi.org/10.3133/ofr20141242.

Cochran, J.R., Burton, B., Frearson, N., and Tinto, K., 2014, IceBridge Scintrex CS-3 Cesium Magnetometer L1B Geolocated Magnetic Anomalies. Version 2. Boulder, Colorado USA: NASA National Snow and Ice Data Center Distributed Active Archive Center, doi:10.5067/OY7C2Y61YSYW.

Cochran, J.R., Burton, B., Frearson, N., and Tinto, K., 2011, IceBridge Scintrex CS-3 Cesium Magnetometer L0 Raw Magnetic Field, Version 1. Antarctica 2013. Boulder, Colorado USA: NASA National Snow and Ice Data Center Distributed Active Archive Center, doi:10.5067/NKOACUH8VF34.

Creyts, T.T., Ferraccioli, Fausto, Bell, R.E., Wolovick, Michael, Corr, Hugh, Rose, K.C., Frearson, Nicholas, Damaske, Detlef, Jordan, Tom, Braaten, David, and Finn, Carol, 2014, Freezing of ridges and water networks preserves the Gamburtsev Subglacial Mountains for millions of years: Geophysical Research Letters, 41(22), p. 8114-3122, doi:10.1002/2014GL061491.

de Castro, D.L., Fuck, R.A., Phillips, J.D., Vidotti, R.M., Bezerraa, F.H.R., and Dantas, E.L., 2014, Crustal structure beneath the Paleozoic Parnaíba Basin revealed by airborne gravity and magnetic data, Brazil: Tectonophysics, 614, p.128-145, doi:10.1016/j.tecto.2013.12.009.

Hobza, C.M., Burton, B.L., Lucius, J.E., and Tompkins, R.E., 2014, Capacitively coupled and direct-current resistivity surveys of selected reaches of Cozad, Thirty-Mile, Orchard-Alfalfa, Kearney, and Outlet Canals in Nebraska, 2012–13: U.S. Geological Survey Open-File Report 2014–1007, 48 p., http://dx.doi.org/10.3133/ofr20141007.

Kass, M.A., Bloss, B.R., Irons, T.P., Cannia, J.C., and Abraham, J.D., 2014, Magnetic resonance sounding data collected in the North Platte, Twin Platte, and South Platte Natural Resource Districts Western Nebraska, Fall 2012: U.S. Geological Survey Open-File Report 2014–1138, 16 p., http://dx.doi.org/10.3133/ofr20141138.

Minsley, B.J., Kass, M.A., Hodges, G., and Smith, B.D., 2014, Multi-elevation calibration of frequency-domain electromagnetic data: Geophysics, 79(5), p. E201-E216, doi:10.1190/geo2013-0320.1.

Phillips, J.D., Burton, B.L., Curry-Elrod, Erika, and Drellack, Sigmund, 2014, A ground-based magnetic survey of Frenchman Flat, Nevada National Security Site and Nevada Test and Training Range, Nevada—Data release and preliminary interpretation: U.S. Geological Survey Open-File Report 2014–1187, 144 p., 1 pl., http://dx.doi.org/10.3133/ofr20141187.

Smith, B.D., Minsley, B.M., Bedrosian, P.A., Deszcz-Pan, M., Kass, M.A., and Ball, L.B., 2014, Airborne Electromagnetic Surveys for U.S. Geological Survey Programs: FastTimes, 19(1), Engineering and Environmental Geophysical Society, p. 29-40. View FastTimes 19(1) issue online. [PDF file, 5.9 MB]

Smith, D.V., Phillips, J.D., and Hutton, S.R., 2014, Active tensor magnetic gradiometer system final report for Project MM–1514: U.S. Geological Survey Open-File Report 2013–1228, 39 p., http://dx.doi.org/10.3133/ofr20131228.

2013

Anderson, E.D., Hitzman, M.W., Monecke, T., Bedrosian, P.A., Shah, A.K. and Kelley, K.D., 2013, Geological analysis of aeromagnetic data from southwestern Alaska: implications for exploration in the area of the Pebble Porphyry Cu-Au-Mo deposit: Economic Geology, 108(3), p. 421-436, doi:10.2113/econgeo.108.3.421.

Bedrosian, P.A., Burgess, M.K., and Nishikawa, T., 2013, Faulting and groundwater in a desert environment: constraining hydrogeology using time-domain electromagnetic data: Near Surface Geophysics, 11(5), p. 545-555, doi:10.3997/1873-0604.2013043.

Drenth, B.J., Grauch, V.J.S., and Rodriguez, B.D., 2013, Geophysical constraints on Rio Grande rift structure in the central San Luis Basin, Colorado and New Mexico, in Hudson, M.R., and Grauch, V.J.S., eds., New Perspectives on Rio Grande Rift Basins: From Tectonics to Ground Water: Geologic Society of America Special Papers, 494, p. 75–99, doi:10.1130/2013.2494(04).

Eppinger, R.G, Fey, D.L., Giles, S.A., Grunsky, E.C., Kelley, K.D., Minsley, B.J., Munk, Leeann, and Smith, S.M., 2013, Summary of Exploration Geochemical and Mineralogical Studies at the Giant Pebble Porphyry Cu-Au-Mo Deposit, Alaska: Implications for Exploration Under Cover, Economic Geology, 108(3), p. 495–527, doi:10.2113/econgeo.108.3.495.

Grauch, V.J.S., Bedrosian, P.A. and Drenth, B.J., 2013, Advancements in understanding the aeromagnetic expressions of basin-margin faults—An example from San Luis Basin, Colorado: The Leading Edge, 32(8), p. 882-891, doi:10.1190/tle32080882.1.

Henley, R.W., and Berger, B.R., 2013, Nature's refineries — Metals and metalloids in arc volcanoes: Earth-Science Reviews, 125, p. 146-170, doi:10.1016/j.earscirev.2013.07.007.

Karaoulis, M., Revil, A., Tsourlos, P., Werkema, D.D., and Minsley, B.J., 2013, IP4DI: A software for time-lapse 2D/3D DC-resistivity and induced polarization tomography: Computers and Geosciences, 54, p. 164-170, doi:10.1016/j.cageo.2013.01.008.

Kass, M.A., 2013, Consequences of flight height and line spacing on airborne (helicopter) gravity gradient resolution in the Great Sand Dunes National Park and Preserve, Colorado: The Leading Edge, 32(8), p. 932-938, doi:10.1190/tle32080932.1.

Moreira, L.P., Friedel, M.J., França G.S., 2013, Uncertainty analysis in the joint inversion of receiver function and surface-wave dispersion, Paraná Basin, southeast Brazil: Bulletin of Seismological Society of America, 103(3), p. 1081-1991, doi:10.1785/0120120167.

Rodriguez, B.D., and Sawyer, D.A., 2013, Geophysical constraints on Rio Grande rift structure and stratigraphy from magnetotelluric models and borehole resistivity logs, northern New Mexico, in Hudson, M.R., and Grauch, V.J.S., eds., New Perspectives on Rio Grande Rift Basins: From Tectonics to Groundwater: Geological Society of America Special Papers, 494, p. 323–344, doi:10.1130/2013.2494(13).

Shah, A.K., Bedrosian, P.A., Anderson, E.D., Kelley, K.D., and Lang, J., 2013, Integrated geophysical imaging of a concealed mineral deposit: A case study of the world-class Pebble porphyry deposit in southwestern Alaska: Geophysics, 78(5), p. B317-B328, doi:10.1190/geo2013-0046.1.

2012

Araji, A.H., Revil, A., Jardani, A., Minsley, B.J., and Karaoulis, M., 2012, Imaging with cross-hole seismoelectric tomography: Geophysical Journal International, 188(3), p. 1285-1302, doi:10.1111/j.1365-246X.2011.05325.x.

Ellefsen, K.J., Burton, W.C., and Lacombe, P.J., 2012, Integrated characterization of the geologic framework of a contaminated site in West Trenton, New Jersey: Journal of Applied Geophysics, 79, p. 71–81, doi:10.1016/j.jappgeo.2011.12.008.

Finn, C.A., Deszcz-Pan, Maria, and Bedrosian, P.A., 2012, Helicopter electromagnetic data map ice thickness at Mount Adams and Mount Baker, Washington, USA: Journal of Glaciology, 58(212), p. 1433-1443, doi:10.3189/2012JoG11J098.

Minsley, B.J., Smith, B.D., Hammack, R., Sams, J.I., and Veloski, G., 2012, Calibration and filtering strategies for frequency domain electromagnetic data: Journal of Applied Geophysics, 80, p. 56–66, doi:10.1016/j.jappgeo.2012.01.008.

Rodriguez, B.D., and Sampson, J.A., 2012, Constraining the location of the Archean–Proterozoic suture in the Great Basin based on magnetotelluric soundings: U.S. Geological Survey Open-File Report 2012–1117, 30 p., http://pubs.usgs.gov/of/2012/1117/.

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Abstracts

Ball, L.B., Bedrosian, P.A., Minsley, B.J., Smith, B.D., and Watts, K.R., 2014, Defining brine-plume geometry through airborne electromagnetics, MCMC inversion, and resistivity threshold probability mapping: Symposium on the Application of Geophysics to Engineering and Environmental Problems (SAGEEP 2014), Boston, MA, March 17-19, 2014.

Bedrosian, P.A. Assembling the Western US through the lens of Earthscope magnetotellurics: Invited seminars at: USGS Menlo Park, Colorado School of Mines Heiland lecture, Univ of Memphic Center for Earthquake Research and Information, and New Mexico Tech.

Bedrosian, P.A., and Feucht, D.W., 2012, Structure and Tectonics of the Pacific Northwest from EarthScope Magnetotelluric Data (Invited): Abstract GP42A-02 presented at 2012 Fall Meeting, AGU, San Francisco, Calif., 3-7 Dec. View Bedrosian 2012 AGU abstract.

Bennington, N.L., Bedrosian, P.A., Key, K., and Zelenak, G., 2015, Magnetotelluric Investigation of Melt Storage Beneath Okmok Caldera, Alaska: Abstract V43B-3129 presented at 2015 Fall Meeting, AGU, San Francisco, Calif., 14-18 Dec. View Bennington 2015 AGU abstract.

Bloss, B.R., Finn, C.A., Zientek, M.L., and Minsley, B.J., 2014, Old data, New tricks: New insights into the Stillwater Complex: Abstract NS43A-3878 presented at 2014 Fall Meeting, AGU, San Francisco, Calif., 15-19 Dec. View Bloss 2014 AGU abstract.

Cox, L., Minsley, B., Sunwall, D., and Zhdanov, M., 2013, Data weighting schemes for large-scale AEM inversion: Symposium on the Application of Geophysics to Engineering and Environmental Problems (SAGEEP 2013), Denver, CO, 17-21 March 2013.

Deszcz-Pan, M., Minsley, B.J., Smith, B.D., and Kass, M.A., 2015, Calibration of older helicopter electromagnetic surveys using stochastic modeling: Abstract No. 95 presented at SAGEEP Meeting, Austin, TX, 22-26 March, 2015.

Drenth, B.J., Phillips, J.D., Kass, M.A., and Krahenbuhl, R.A., 2014, Geophysical expression of a buried niobium and rare earth element deposit: the Elk Creek carbonatite, Nebraska, USA: Abstract GP31B-08 presented at 2014 Fall Meeting, AGU, San Francisco, Calif., 15-19 Dec. View Drenth 2014 AGU abstract.

Ellefsen, K.J., 2015, Imputation of left-censored geochemicalconcentrations using spatial and measurement-error information: The 17th Annual Conference of the International Association for Mathematical Geosciences (IAMG 2015), 5-13 September 2015, Freiberg, Germany.

Ellefsen, K.J., Phillips, J.D., Hammarstrom, J.M., Bliss, J.D., Zientek, M.L., Robinson, G.R. Jr., and Mihalasky, M.A., 2014, A new probability model for quantitative mineral resource assessments: Society of Economic Geologists Annual Meeting, Keystone, Colorado, September 2014.

Ellefsen, K.J., Phillips, J.D., Robin, G.R., Jr., and Mihalasky, M.J., 2015, Improvements to probabilistic estimation of undiscovered mineral resources: The 17th Annual Conference of the International Association for Mathematical Geosciences (IAMG 2015), 5-13 September 2015, Freiberg, Germany.

Feucht, D.W., Bedrosian, P.A., and Sheehan, A.F., 2012, Magnetotelluric pilot study in the Rio Grande Rift, southwest USA: Abstract T43C-2689 presented at 2012 Fall Meeting, AGU, San Francisco, Calif., 3-7 Dec. View Feucht 2012 AGU abstract.

Feucht, D.W., and Finn, C.A., 2015, Joint interpretation of seismic tomography and new magnetotelluric results provide evidence for support of high topography in the Southern Rocky Mountains and High Plains of eastern Colorado, USA: Abstract GP23C-04 presented at 2015 Fall Meeting, AGU, San Francisco, Calif., 14-18 Dec. View Feucht 2015 AGU abstract.

Finn C., Bedrosian, P., Wisniewski, M., and Deszcz-Pan, M., 2015, Identifying Water on Mt. Baker and Mt. St. Helens, WA with Geophysics: Implications for Volcanic Landslide Hazards: Abstract V31F-02, presented at Fall Meet. AGU, San Francisco, Calif., 14-18 Dec. (Invited). View Finn 2015 AGU abstract.

Finn, C., Deszcz-Pan, M., Bedrosian, P., and Minsley, B.J., 2016, Identifying alteration and water on Mt. Baker, WA with geophysics: Implications for volcanic landslide hazards: Abstract NS21C-08 presented at 2016 Fall Meeting, AGU, San Francisco, Calif., 12-16 Dec. View Finn 2016 AGU abstract.

Friedel, M.J., Esfahani, A., and Abraham, J.D., 2012, Application of machine-learning to characterize an alluvial aquifer in western Nebraska: Abstract H21A-1168 presented at 2012 Fall Meeting, AGU, San Francisco, Calif., 3-7 Dec. View Friedel 2012 AGU abstract.

Glen, J.M.G., McPhee, D.K., and Bedrosian, P.A., 2014, Geophysical Investigations of the Geologic and Hydrothermal Framework of the Pilgrim Springs Geothermal Area, Alaska: Proceedings of the 39th Workshop on Geothermal Reservoir Engineering, Stanford University, Stanford, California, 24-26 February 2014. View Glen 2014 abstract.

Grauch, V.J.S., 2015, Mapping faults using aeromagnetic data: Examples from alluvial basins of the Rio Grande rift, Colorado and New Mexico: USGS Crustal Geophysics and Geochemistry webinar, February 25, 2015.

Hubbard, B.E., Deszcz-Pan, M., Smith, B.D., Day, W., Gough, L., Kass, M.A., Emond, A., and Caine, J.S., 2015, Correlation of Alaska Landsat image analysis with airborne geophysical survey data: a promising tool for locating outcrops, monitoring burn recovery and assessing potential permafrost thaw: Geological Society of America Abstracts with Programs. Vol. 46, No. 6, p. 780. View Hubbard 2015 GSA abstract.

Kass, A., Bedrosian, P., Drenth, B., bloss, B.R., McKay, R., Liu, H.P., French, B., and Witzke, B., 2013, Geophysical signatures and modeling results from a buried impact structure in Decorah, Iowa, USA: Abstract P34C-04 presented at 2013 Fall Meeting, AGU, San Francisco, Calif., 9-13 Dec. View Kass 2013 AGU abstract.

Kass, M.A., Bedrosian, P.A., Drenth, B.J., Bloss, B.R., McKay, R.M., Liu, H., French, B.M., and Witzke, B.J., 2013, Modeling and inversion results from airborne geophysics over a buried impact structure in Decorah, Iowa, USA: Geological Society of America Abstracts with Programs, Vol. 45, No. 7, p. 485. View Kass 2013 GSA abstract.

Kass, M.A., Minsley, B.J., Burns, L.E., Smith, B.D., and Abraham, J.D., 2012, Airborne electromagnetic and magnetic interpretation of the Alaska Highway Corridor: SEG Technical Program Expanded Abstracts 2012, p. 1-5, doi:10.1190/segam2012-1574.1.

Key K., Bedrosian, P.A., Egbert, G.D., Livelybrooks, D., Parrish, B.A., and Schultz, A., 2015, Along-Strike Electrical Conductivity Variations in the Incoming Plate and Shallow Forearc of the Cascadia Subduction Zone, Abstract T44B-01 presented at Fall Meet. AGU, San Francisco, Calif., 14-18 Dec. View Key 2015 AGU abstract.

Love, J.J., Finn, C.A., Rogler, E.J., Kelbert, A., and Bedrosian, P.A., 2015, Geomagnetic Observatory Data for Real-Time Applications: Abstract IN31D-08 presented at 2015 Fall Meeting, AGU, San Francisco, Calif., 14-18 Dec. View Love 2015 AGU abstract.

Martos, Y.M., Ferraccioli, F., Finn, C.A., Bell, R.E., Jordan, T.A., and Damaske, D., 2015, Stalled Orogen Linked to East Antarctic Craton Assembly: Abstract T11B-2877 presented at 2015 Fall Meeting, AGU, San Francisco, Calif., 14-18 Dec. View Martos 2015 AGU abstract.

McCafferty, A.E., 2014, Insights into concealed iron oxide-rare earth element deposits from new airborne geophysical data, southeast Missouri: Geological Society of America Abstracts with Programs, Vol. 46, No. 4, p. 15. View McCafferty 2014 GSA abstract.

McCafferty, A.E., Day, W.C., Slack, J.F., McDougal, R.R., and Driscoll, R.L., 2013, Geophysical setting of iron-oxide-copper-cobalt-gold-rare earth element deposits of southeast Missouri: Geological Society of America Abstracts with Programs, v. 45, p. 537. View McCafferty 2013 GSA abstract.

McCafferty, A.E., and Phillips, J.D., 2015, Shallow to Deep Crustal Controls on Localization of Mesoproterozoic Iron Oxide Copper-Gold-Rare Earth Element Deposits in Southeast Missouri (USA): Evidence from Gravity and Magnetic Data: Society for Economic Geologists 2015 Conference, Hobart, Australia, 27-30 September 2015. View McCafferty SEG 2015 abstract. [PDF file, 119 KB]

McPhee, D.K., Glen, J.M., and Bedrosian, P.A., 2012, Airborne Geophysical Surveys Illuminate the Geologic and Hydrothermal Framework of the Pilgrim Springs Geothermal Area, Alaska: Abstract GP43B-1133 presented at 2012 Fall Meeting, AGU, San Francisco, Calif., 3-7 Dec. View McPhee 2012 AGU abstract.

Minsley, B.J., 2014, Using Airborne Geophysical Data to Reduce Groundwater Model Uncertainty: SIAM Conference on Uncertainty Quantification Final Program and Abstracts, 31 March - April 3, 2014, Savannah, GA, p. 121. View SIAM 2014 abstracts online. [PDF file, 838 KB].

Minsley, B., 2013, A Bayesian approach to the interpretation of airborne elecromagnetic surveys: Quantifying data errors, model assessment, and lithology classification: SAGA 13th Biennial conference and AEM 2013, 6-11 October 2013, Mpumalanga, South Africa.

Minsley, B.J., Bedrosian, P.A., and Grauch, V.J.S., 2014, A Bayesian McMC approach to model assessment, uncertainty analysis, and lithologic prediction using airborne electromagnetic data: Symposium on the Application of Geophysics to Engineering and Environmental Problems (SAGEEP 2014), Boston, MA, March 17-19, 2014.

Minsley, B.J., Brodie, R.C., Bedrosian, P.A., and Esfahani, A., 2013, Reject the ridiculous and explore the plausible: A Bayesian McMC approach to model assessment and uncertainty analysis for airborne electromagnetic surveys: Abstract NS23A-1586 presented at 2013 Fall Meeting, AGU, San Francisco, Calif., 9-13 Dec. (Invited) View Minsley 2013 AGU abstract.

Minsley, B.J., Christensen, S., and Christensen N.K., 2014, A sequential hydrogeophysical approach to quantify model structural uncertainty: Abstract NS31B-3924 presented at 2014 Fall Meeting, AGU, San Francisco, Calif., 15-19 Dec. View Minsley 2014 AGU abstract.

Minsley, B.J., Christensen, N.K., Christensen, S., and Ley-Cooper, Y., 2015, Model structural uncertainty quantification and hydrogeophysical data integration using airborne electromagnetic data: Abstract NS22A-03 presented at 2015 Fall Meeting, AGU, San Francisco, Calif., 14-18 Dec. (Invited). View Minsley 2015 AGU abstract.

Minsley, B.J., Kass, M.A., Bloss, B., Pastick, N., Panda, S.K., Smith, B.D., Abraham, J.D., and Burns, L.E., 2012, A multi-scale permafrost investigation along the Alaska Highway Corridor based on airborne electromagnetic and auxiliary geophysical data: Abstract C22B-08 presented at 2012 Fall Meeting, AGU, San Francisco, Calif., 3-7 Dec. View Minsley 2012 AGU abstract.

Moreira, L.P., Friedel, M.J., and França G.S., 2012, Joint inversion of receiver function, surface wave dispersion, and magnetotelluric data for 2D crustal modeling: Abstract NG31B-1582 presented at 2012 Fall Meeting, AGU, San Francisco, Calif., 3-7 Dec. View Moreira 2012 AGU abstract.

O'Connor, K., Smith, B.D., Valder, J.F., Smith, D.V., Delzer, G.D., and Deszcz-Pan, M., 2016, Characterization of the hydrogeologic framework of the Big Sioux aquifer, Sioux Falls, South Dakota, using airborne electromagnetic data: Geological Society of America Abstracts with Programs, Vol. 48, No. 7, doi:10.1130/abs/2016AM-286504.

Phillips, J.D., 2014, Using vertical Fourier transforms to invert potential-field data to magnetization or density models in the presence of topography: SEG Technical Program Expanded Abstracts 2014, p. 1339-1343, doi:10.1190/segam2014-0226.1.

Phillips, J.D., 2012, Using Vertical Fourier Transforms to Invert Potential-Field Data to Magnetization or Density Models in the Presence of Topography: Abstract GP42A-05 presented at 2012 Fall Meeting, AGU, San Francisco, Calif., 3-7 Dec. View Phillips 2012 AGU abstract.

Phillips, J.D., Saltus, R.W., and Moulton, C.W., 2013, Density structure of the National Petroleum Reserve Alaska from gravity profile inversions: Geological Society of America Abstracts with Programs. Vol. 45, No. 7, p. 79. View Phillips 2013 GSA abstract.

Phillips, J.D., and Simpson, R.W., 2015, Sharpening the boundaries - 3D terracing applied to physical property inversions: SEG Technical Program Expanded Abstracts 2015, p. 1536-1540, doi:10.1190/segam2015-5827462.1.

Purucker, M.E., Blakely, R.J., Nelson, J.B., Bracken, R., and White, T., 2016, Novel views of the lithospheric magnetic field for hazard mitigation, tectonics, and geology: Abstract GP33A-06 presented at 2016 Fall Meeting, AGU, San Francisco, Calif., 12-16 Dec. View Purucker 2016 AGU abstract.

Smith, B.D., Emond, A., Kass, M.A., Burns, L.E., Saltus, R.W., Minsley, B., Phillps, J.D., Deszcz-Pan, M., Shah, A.K., and Burton, B.L., 2014, Alaska Airborne Geophysical Survey Public Digital Databases: Geological Society of America Abstracts with Programs, Vol. 46, No. 6, p. 307. View B. Smith 2014 GSA abstract.

Smith, B.D., Kass, A., Saltus, R.W., Minsley, B.J., Deszcz-Pan, M., Bloss, B.R., and Burns, L.E., 2013, New Inversion and Interpretation of Public-Domain Electromagnetic Survey Data from Selected Areas in Alaska, Abstract NS23A-1583 presented at 2013 Fall Meeting, AGU, San Francisco, Calif., 9-13 Dec. View B. Smith 2013 AGU abstract.

Smith, B.D., Minsley, B.J., Kass, M.A., Abraham, J.A., Sams, J.I., Veloski, G.A., Esfahani, A., and Hodges, G., 2012, Estimation of Resolution of Shallow Layers by Frequency Domain Airborne Electromagnetic Measurements: Abstract NS41A-1667 presented at 2012 Fall Meeting, AGU, San Francisco, Calif., 3-7 Dec. View B. Smith 2012 AGU abstract.

Smith, B., Saltus, R.W., Kass, M.A., Phillips, J.D., Shah, A.K., Minsley, B., Deszcz-Pan, M., Caine, J.S., Burns, L.E., and Bloss, B.R., 2013, New processing of airborne electromagnetic and magnetic survey data from selected areas in Alaska: Geological Society of America Abstracts with Programs, Vol. 45, No. 7, p. 163. View B. Smith 2013 GSA abstract.

Smith, B.D., White, J., Kress, W.H., Clark, B.R., and Barlow, J., 2016, Using FOSM-Based Data Worth Analyses to Design Geophysical Surveys to Reduce Uncertainty in a Regional Groundwater Model Update: Abstract NS41B-1907 presented at 2016 Fall Meeting, AGU, San Francisco, Calif., 12-16 Dec. View B. Smith 2016 AGU abstract.

Smith, D.V., Deszcz-Pan, M., Smith, B.d., Koth, K., and Dunn, J., 2016, High-resolution airborne electromagnetic survey of the Big Sioux aquifer, Sioux Falls, South Dakota: Proceedings of the Symposium on the Application of Geophysics to Engineering and Environmental Problems (SAGEEP 2016), Denver, CO, 20-24 March, 2016, p. 212-25.

Stanley, R.G., Haeussler, P.J., Lewis, K.A., Shellenbaum, D.P., Saltus, R.W., Shah, A.K., Potter, C.J., Lillis, P., Beowitz, J., and Phillips, J.D., 2015, New insights into the subsurface geology and petroleum potential of the Susitna Basin, south-central Alaska: Geological Society of America Abstracts with Programs, Vol. 47, No. 4, p. 57. View Stanley 2015 GSA abstract.

Young, D., Blankenship, D., Goodge, J., Finn, C., and Severinghaus, J., 2013, SPICECAP: Southern Plateau Ice Sheet Characterization and Evolution of the Central Antarctic Plate: A proposed aerogephysical survey supporting SPICE core, RAID, and TAMCAMP: 2013 Transarctic Mountain (TAM) Science Meeting, 23-24 September 2013, Minneapolis, MN.

Zelenak, G., Key, K,, Bennington, N.L., and Bedrosian, P.A., 2015, Amphibious Magnetotelluric Investigation of the Aleutian Arc: Mantle Melt Generation and Migration beneath Okmok Caldera, Abstract V43A-3091, presented at Fall Meet. AGU, San Francisco, Calif., 14-18 Dec. View Zelenak 2015 AGU abstract.

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Partners

Joint USGS / NSF / NASA geophysical investigations of ice-covered frontier areas

Vista Clara - CRADA to cooperate on Rapid Scanning NMR Technology Development

USGS Applied Research Computing

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