NS010
Near-Surface Geophysics for Anthropogenic Targets
Session ID#: 77346
Session Description:
Anthropogenic targets are broadly defined and broadly studied types of geophysical targets with relevance in fields from archaeology to geotechnical engineering. We invite investigations of these targets - forensic, anthropogenic, engineering, environmental, and humanitarian- from a variety of angles: numerical simulations, laboratory experiments, instrumentation, interpretation, and processing. We encourage cross-disciplinary and multi-method surveys with the shared aim of resolution, characterization, and monitoring of small (less than tens of meters) near surface targets in a variety of challenging environments. Abstracts presenting historical perspectives in the spirit of AGUâs centennial are encouraged.
Co-Organized:
Index Terms:
0925 Magnetic and electrical methods [EXPLORATION GEOPHYSICS]
0999 General or miscellaneous [EXPLORATION GEOPHYSICS]
9805 Instruments useful in three or more fields [GENERAL OR MISCELLANEOUS]
9820 Techniques applicable in three or more fields [GENERAL OR MISCELLANEOUS]
Primary Convener: Isabel Mae Morris, Princeton University, Princeton, NJ, United States
Conveners: Rene E Chavez, UNAM National Autonomous University of Mexico, Instituto de Geofisica, Mexico City, Mexico and Steven J Fletcher, Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States
Primary Liaison: Steven J Fletcher, Colorado State University, Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States
Using Object-Based Image Analysis and Remote Sensing to Identify Methane-Emitting Oil and Gas Wells (492366)
Natalia N Romanzo1, Samantha H Wong2, Ethan M Penner1, Judy Li1, Timothy S. de Smet3 and Alex Nikulin4, (1)Binghamton University, Binghamton, United States, (2)Binghamton University, Environmental Studies, Binghamton, NY, United States, (3)Binghamton University, Geological Sciences and Environmental Studies, Binghamton, NY, United States, (4)Noble Energy Inc. Houston, College Station, TX, United States
Seismic Refraction to Identify the Extent of Archaeologically Significant Subsurface Layers Between Excavation Sites at Kathu Pan, Northern Cape Province, South Africa (498646)
Matthew Belanger1, Carl-Georg Bank1, Nathan Philip Stoikopoulos1, Vasa Lukich2 and Michael Chazan3, (1)University of Toronto, Department of Earth Sciences, Toronto, ON, Canada, (2)University of Toronto, Earth Sciences, Toronto, ON, Canada, (3)University of Toronto, Anthropology, Toronto, ON, Canada
Seismic Evaluation of Excavated Rock Slopes at Hinkley Point C, UK (501911)
Antony Butcher1, Anna Stork2, James Verdon3 and J Michael Kendall2, (1)University of Bristol, Bristol, BS8, United Kingdom, (2)University of Bristol, School of Earth Sciences, Bristol, United Kingdom, (3)University of Bristol, School of Earth Science, Bristol, United Kingdom
Geophysical imaging of Etruscan orientalising burials obtained via multi-parametric approach: The Grotte di Castro case study (503302)
Riccardo Civico1, Vincenzo Sapia2, Stefano Urbini1, Federico Florindo3, Andrea Gasparini1, Valerio Materni1, Fabio Giannattasio1, Nunzia Voltattorni1, Luca Miconi1 and Marco Marchetti1, (1)Istituto Nazionale di Geofisica e Vulcanologia, Roma, Italy, (2)Istituto Nazionale di Geofisica e Vulcanologia, Rome, Italy, (3)Università degli Studi di Roma La Sapienza, Roma, Italy
IMPROVING THE DIAGNOSIS OF COASTAL EARTH-FILLED DIKES COMBINING GEOPHYSICAL METHODS BY DATA FUSION (532470)
Scarlett Gendrey1, Vincent Granier2, Pierre Azemard3 and Cédric Payan2, (1)Cerema Direction Méditerranée, Laboratoire d’Aix-en-Provence, Aix-en-Provence, France, (2)Aix Marseille University, Marseille Cedex 03, France, (3)Cerema Direction Méditerranée, Laboratoire d’Aix-en-Provence, Aix-EN-Provence, France
Near-Surface Sonar Detection of Submerged Archaeological Lithics (546138)
Margaret Ann Morris1, John Hildebrand1 and Isabel Rivera-Collazo2, (1)University of California San Diego, Scripps Institution of Oceanography, La Jolla, CA, United States, (2)University of California San Diego, Scripps Institution of Oceanography/Anthropology, La Jolla, CA, United States
Detection of Archaeological Sites using Artificial Intelligence and Deep Learning Algorithms (561118)
Alexandra Karamitrou, Aristotle University of Thessaloniki, Thessaloniki, Greece, Petros Bogiatzis, University of Southampton, Southampton, United Kingdom and Fraser Sturt, University of Southampton, Archaeology, Southampton, United Kingdom
Hammer-Sourced Prestack-Migrated Seismic Reflection-Refraction Fault and Cavity Imaging to >100 m Depth (563190)
Morgan S. Stipe1, William S. Honjas2, Emily L Maher2, Eric Eckert2 and John N Louie3, (1)Optim Earth, Inc, Reno, NV, United States, (2)University of Nevada Reno, Reno, NV, United States, (3)University of Nevada, Reno, Nevada Seismological Laboratory, Reno, NV, United States
The advantages of repeating survey lines during FDEM data collection for high resolution subsurface mapping (575508)
Daan Hanssens1, Willem Waegeman2, Ellen Van De Vijver1 and Philippe De Smedt1, (1)Ghent University, Department of Environment, Gent, Belgium, (2)Ghent University, Department of Mathematical Modelling, Statistics and Bioinformatics, Ghent, Belgium
Magnetic Object Identification Based on Convolutional Neural Network (630311)
Hua Deng1, Xiangyun Hu2, Wei yang Liao1 and Hong qing Luo1, (1)Institute of Geophysics & Geomatics, China University of Geosciences (Wuhan), Wuhan, China, (2)Hubei Subsurface Multi-scale Imaging Key Lab, Institute of Geophysics & Geomatics, China University of Geosciences (Wuhan), Wuhan, China
Assessment of Drone and Ground-Based Structure from Motion (SfM) Topographic Models in Grass Covered Archaeological Landscapes (631725)
David Massey, Indiana University, Geography, Bloomington, IN, United States, Matthew R Brennan, Indiana University, Informatics, Bloomington, IN, United States and Nicholas Plank, Indiana University, Informatics, Bloomington, United States
Comparing Seismic Refraction, Electrical Resistivity, and Ground Penetrating Radar in the Exploration of Mine Shafts: Case study in Centralia, PA. (633155)
Ahmed Lachhab, Susquehanna University, Selinsgrove, PA, United States and Jackson LOng, Susquehanna University, Earth and Environmental Sciences, Selinsgrove, United States