Cutbank Geophysics: A New Method for Expanding Magnetic Investigations to the Subsurface Using Magnetic Susceptibility Testing at an Awatixa Hidatsa Village, North Dakota
Abstract
:1. Introduction
2. Materials and Methods
2.1. Awatixa Hidatsa and the Sakakawea Village
2.2. Previous Site Investigations
2.3. Current Investigations
2.3.1. Surface-Based Magnetic Surveys
2.3.2. In Situ Measurements of Magnetic Susceptibility
2.3.3. Sample Collection and Basic Magnetic Susceptibility Reconnaissance
2.3.4. Stratigraphic Information
2.3.5. Detailed Soil Magnetic Studies
3. Results
3.1. Surface-Based Magnetic Data
3.2. Background Off-Site Soils
3.3. Moderately-Enhanced On-Site Surface Soils
3.4. Highly-Enhanced Site Soils and Magnetic Variation
3.5. Soil Magnetic Results
4. Discussion
5. Conclusions
Acknowledgments
Author Contributions
Conflicts of Interest
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Dalan, R.; Sturdevant, J.; Wallace, R.; Schneider, B.; Vore, S.D. Cutbank Geophysics: A New Method for Expanding Magnetic Investigations to the Subsurface Using Magnetic Susceptibility Testing at an Awatixa Hidatsa Village, North Dakota. Remote Sens. 2017, 9, 112. https://doi.org/10.3390/rs9020112
Dalan R, Sturdevant J, Wallace R, Schneider B, Vore SD. Cutbank Geophysics: A New Method for Expanding Magnetic Investigations to the Subsurface Using Magnetic Susceptibility Testing at an Awatixa Hidatsa Village, North Dakota. Remote Sensing. 2017; 9(2):112. https://doi.org/10.3390/rs9020112
Chicago/Turabian StyleDalan, Rinita, Jay Sturdevant, Rebecca Wallace, Blair Schneider, and Steven De Vore. 2017. "Cutbank Geophysics: A New Method for Expanding Magnetic Investigations to the Subsurface Using Magnetic Susceptibility Testing at an Awatixa Hidatsa Village, North Dakota" Remote Sensing 9, no. 2: 112. https://doi.org/10.3390/rs9020112
APA StyleDalan, R., Sturdevant, J., Wallace, R., Schneider, B., & Vore, S. D. (2017). Cutbank Geophysics: A New Method for Expanding Magnetic Investigations to the Subsurface Using Magnetic Susceptibility Testing at an Awatixa Hidatsa Village, North Dakota. Remote Sensing, 9(2), 112. https://doi.org/10.3390/rs9020112