Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 547274
Title A drone as platform for airborne gamma-ray surveys to characterize soil and monitor contaminations
Author(s) Veeke, S. Van Der; Koomans, R.L.; Egmond, F.M. Van; Limburg, J.
Source In: 24th European Meeting of Environmental and Engineering Geophysics. - European Association of Geoscientists and Engineers, EAGE - ISBN 9789462822634
Event 24th European Meeting of Environmental and Engineering Geophysics, Porto, 2018-09-09/2018-09-13
DOI https://doi.org/10.3997/2214-4609.201802510
Department(s) Soil, Water and Land Use
ISRIC - World Soil Information
Publication type Contribution in proceedings
Publication year 2019
Abstract

Gamma-ray spectrometers are an invaluable tool in the field of geophysics where they are used for geological mapping and mineral exploration. Recent technological advances introduce the emergence of a new platform for gamma-ray surveys: Unmanned Airborne Vehicles (UAVs) otherwise known as drones. This new platform enables the fast and efficient collection of environmental radiometric data in otherwise inaccessible areas. An overview is given of the technological and data-analysis developments to realize the use of a spectrometer under a drone. As a result of weight and power optimization a spectrometer system based on a 1.0L NaI crystal can be used under a drone. The system collects gamma spectra with sufficient statistics to perform full spectrum analysis and determine variation in geophysical soil parameters. The platform can autonomously measure and process data giving real-time insight in the collected data and results. Two test cases are discussed in which the use and accuracy of this platform is validated for precision farming as well as locating and monitoring radioactive contaminations. It is concluded that a self-contained gamma-ray measurement system under a drone combines the best of two worlds by maintaining high resolution while increasing the ease of use.

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