BiRD - Birkbeck Research Data

    Dungeness beach GPR and topographic survey

    Cite as: Bristow, Charlie and Buck, Lucy and Maria, Inggrid (2021): Dungeness beach GPR and topographic survey. Birkbeck College, University of London. doi: https://doi.org/10.18743/DATA.00160

    Description

    Ground-penetrating radar (GPR) survey of shingle beach ridges at Dungeness, UK. Data collected using Pulse EKKO Pro GPR with 200 MHz antennas. There are 7 GPR profiles perpendicular to the coastline, Beach 1-7. They start next to the coast road and head towards the sea in 50m sections labelled A, B, C etc. The GPR data is in the .dt files while header data describing each file is .hd. Topographic data collected for static elevation corrections at 1 m intervals along the line of section is in 7 .top files.

    Collection Method

    Pulse Ekko Pro GPR data with 200 MhZ antennas, parallel broadside configuration, 0.5 m separation, 0.1 m steps, 64 stacks, 350 ns time window. Leica level topographic data every meter along the GPR profiles.

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    Full Archive

    Metadata

    Dataset Title:

    Dungeness beach GPR and topographic survey

    Creators:

    Bristow, Charlie and Buck, Lucy and Maria, Inggrid

    School/Department:

    Birkbeck Schools and Research Centres > School of Science > Earth and Planetary Sciences > UCL/Birkbeck Centre for Planetary Sciences

    Keywords:

    GPR Ground penetrating radar, shingle, beach, beach accretion, shoreline progradation.

    Data collection method:

    Pulse Ekko Pro GPR data with 200 MhZ antennas, parallel broadside configuration, 0.5 m separation, 0.1 m steps, 64 stacks, 350 ns time window. Leica level topographic data every meter along the GPR profiles.

    Collection period:

    FromTo
    3 April 201926 April 2019

    Statement on legal, ethical, and access issues:

    Not Applicable

    Export / Share Citation

    Cite as: Bristow, Charlie and Buck, Lucy and Maria, Inggrid (2021): Dungeness beach GPR and topographic survey. Birkbeck College, University of London. doi: https://doi.org/10.18743/DATA.00160

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