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Geoscientific Instrumentation, Methods and Data Systems An interactive open-access journal of the European Geosciences Union

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https://doi.org/10.5194/gi-2017-37
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research article
03 Jul 2017
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Geoscientific Instrumentation, Methods and Data Systems (GI).
A remote-control datalogger for large-scale resistivity surveys and robust processing of its signals using a software Lock-In approach
Frank Oppermann and Thomas Günther Leibniz Institute for Applied Geophysics, Hannover, 30655, Germany
Abstract. We present a new versatile datalogger that can be used for a wide range of possible applications in geosciences. It is adjustable in signal strength and sampling frequency, battery-saving and can remotely be controlled over Global System for Mobile Communication (GSM) connection so that it saves running costs, particulaly in monitoring experiments. Internet connection allows for checking functionality, controlling schedules and optimizing preamplification. We mainly use it for large-scale Electrical Resistivity Tomography (ERT), where it independently registers voltage time series on three channels while a square wave current is injected. For the analysis of this time series we present a new approach that is based on the Lock-In (LI) method, mainly known from electronic circuits. The method searches the working point (phase) using three different functions based on a mask signal, and determines the amplitude using a direct current (DC) correlation function. We use synthetic data with different types of noise to compare the new method with existing approaches, i.e. selective stacking and a modified Fast Fourier Transformation (FFT) based approach that assumes a 1/f noise characteristics. All methods give comparable results, the LI being better than the well established stacking method. The FFT approach can be even better but only if the noise strictly follows the assumed characteristics. If overshoots are present in the data, which is typical in the field, FFT performs worse even with good data which is why we conclude that the new LI approach is the most robust solution. This is also proved by a field data set from a long 2D ERT profile.

Citation: Oppermann, F. and Günther, T.: A remote-control datalogger for large-scale resistivity surveys and robust processing of its signals using a software Lock-In approach, Geosci. Instrum. Method. Data Syst. Discuss., https://doi.org/10.5194/gi-2017-37, in review, 2017.
Frank Oppermann and Thomas Günther
Frank Oppermann and Thomas Günther
Frank Oppermann and Thomas Günther

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Short summary
We present a new versatile datalogger that can be used because of remote control for a wide range of possible applications in geosciences like environmental and groundwater monitoring, or in applied geophysics. The recorded signals will be processed by a new Software approach, that will improve the data quality for very poor signal-to-noise ratios. We show this improvement by comparison with traditional Software algorithms processing synthetic datasets and real data collected in the field.
We present a new versatile datalogger that can be used because of remote control for a wide...
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