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Cited by 381

The DOI matches its Crossref record; 126 of the 126 references it cites were found in a registry or an index.

Near-Surface Applied Geophysics

Everett, Mark E.·2013·Cambridge University Press eBooks

Abstract

Just a few meters below the Earth's surface lie features of great importance, from geological faults which can produce devastating earthquakes, to lost archaeological treasures! This refreshing, up-to-date book explores the foundations of interpretation theory and the latest developments in near-surface techniques, used to complement traditional geophysical methods for deep-exploration targets. Clear but rigorous, the book explains theory and practice in simple physical terms, supported by intermediate-level mathematics. Techniques covered include magnetics, resistivity, seismic reflection and refraction, surface waves, induced polarization, self-potential, electromagnetic induction, ground-penetrating radar, magnetic resonance, interferometry, seismoelectric and more. Sections on data analysis and inverse theory are provided and chapters are illustrated by case studies, giving students and professionals the tools to plan, conduct and analyze a near-surface geophysical survey. This is an important textbook for advanced-undergraduate and graduate students in geophysics and a valuable reference for practising geophysicists, geologists, hydrologists, archaeologists, and civil and geotechnical engineers.

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Crossref · 10.1017/cbo9781139088435

Cites

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Metadata

Authors
Everett, M. E.
Venue
Cambridge University Press eBooks
Published
2013-04-05
OpenAlex
W352228264
Cited by
381
References
126
FWCI
6.49
Type
book
Language
en
Open access
closed

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CoChat. (2026). Citation check: Near-Surface Applied Geophysics. https://app.cochat.ai/papers/10.1017/cbo9781139088435
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Everett, M. E. (2013). Near-Surface Applied Geophysics. Cambridge University Press eBooks. https://doi.org/10.1017/cbo9781139088435

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.