A machine learning–based approach to regional‐scale mapping of sensitive glaciomarine clay combining airborne electromagnetics and geotechnical data

Author:

Christensen Craig William1ORCID,Harrison Edward John1,Pfaffhuber Andreas Aspmo1,Lund Alf Kristian2

Affiliation:

1. EMerald Geomodelling Gaustadalléen 21 Oslo 0349 Norway

2. NGI Høgskoleringen 9 Trondheim 7034 Norway

Publisher

Wiley

Subject

Geophysics

Reference36 articles.

1. Amundsen H.A. Thakur V.andEmdal A.(2016)Sample disturbances in block samples of low plastic soft clays.17th Nordic Geotechnical Meeting Reykjavik.

2. Airborne mapping of sensitive clay—stretching the limits of AEM resolution and accuracy

3. A single software for processing, inversion, and presentation of AEM data of different systems: the Aarhus Workbench;Auken E.;ASEG Extended Abstracts,2009

4. Aylsworth J.M.andHunter J.A.(2004)A geophysical investigation of the geological controls on landsliding and soft deformation in sensitive marine clay near Ottawa. In:57th Canadian Geotechnical Conference Géo Québec Canadian Geotechnical Society Richmond BC 30–37.

5. Baranwal V. Rønning J.S. Dalsegg E. et al. (2015)Mapping of marine clay layers using airborne EM and ground geophysical methods at Byneset Trondheim municipality.NGU open file report 2015.006.

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