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    Repeatability analysis of airborne electromagnetic surveys


    Hegarty, Avril and Stanley, Gerry and Kashdan, Eugene and Hodgson, Jim and Parnell, Andrew (2017) Repeatability analysis of airborne electromagnetic surveys. Mathematics-in-industry Case Studies, 7 (6). ISSN 1913-4967

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    Abstract

    Purpose: We provide methods for determining the repeatability of airborne electromagnetic surveys when conducted at different altitudes over a number of repeated flights. Our data arise from the TELLUS project carried out by the Geological Surveys of Ireland and Northern Ireland and we examine the repeatability of the apparent resistivity at different frequencies. Methods: After considering a number of issues with the data, we propose two different models from the functional data analysis literature; a Weiner process with random effects, and a penalised spline smoother. Results: Both methods arrive at the same conclusion regarding repeatability of the data; results obtained are more repeatable for flights at lower altitudes. Conclusions: The target altitude for aircraft carrying out airborne electromagnetic surveys should be as low as possible.

    Item Type: Article
    Additional Information: © 2016 The Author(s). Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
    Keywords: Apparent resistivity; Functional data analysis; P-splines; TELLUS project; Weiner process;
    Academic Unit: Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 10261
    Identification Number: https://doi.org/10.1186/s40929-016-0008-1
    Depositing User: Andrew Parnell
    Date Deposited: 03 Dec 2018 15:06
    Journal or Publication Title: Mathematics-in-industry Case Studies
    Publisher: SpringerOpen
    Refereed: Yes
    URI:
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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