Abstract

Flight height is a fundamental parameter for correcting the gamma signal produced by terrestrial radionuclides measured during airborne surveys. The frontiers of radiometric measurements with UAV require light and accurate altimeters flying at some 10 m from the ground. We equipped an aircraft with seven altimetric sensors (three low-cost GNSS receivers, one inertial measurement unit, one radar altimeter and two barometers) and analyzed ~3 h of data collected over the sea in the (35–2194) m altitude range. At low altitudes (H < 70 m) radar and barometric altimeters provide the best performances, while GNSS data are used only for barometer calibration as they are affected by a large noise due to the multipath from the sea. The ~1 m median standard deviation at 50 m altitude affects the estimation of the ground radioisotope abundances with an uncertainty less than 1.3%. The GNSS double-difference post-processing enhanced significantly the data quality for H > 80 m in terms of both altitude median standard deviation and agreement between the reconstructed and measured GPS antennas distances. Flying at 100 m the estimated uncertainty on the ground total activity due to the uncertainty on the flight height is of the order of 2%.

Highlights

  • Airborne Gamma-Ray Spectroscopy (AGRS) is a proximal remote sensing method that allows quantifying the abundances of natural (40 K, 238 U, 232 Th) and artificial (e.g., 137 Cs) radionuclides present in the topsoil (~30 cm depth) over relatively large scales

  • 83-liter fuel tank placed above the instrumentation to avoid the attenuation of gamma signals coming from the ground due to the instrumentation to avoid the attenuation of gamma signals coming from the ground due to the interaction with the fuel material

  • The metric adopted is based on the root mean square RMS(δHJ )

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Summary

Introduction

Airborne Gamma-Ray Spectroscopy (AGRS) is a proximal remote sensing method that allows quantifying the abundances of natural (40 K, 238 U, 232 Th) and artificial (e.g., 137 Cs) radionuclides present in the topsoil (~30 cm depth) over relatively large scales. Studying the spatial distribution of these radionuclides is strategic for monitoring environmental radioactivity [1], producing thematic maps of geochemical interest [2,3,4], identifying radioactive orphan sources [5] or investigating areas potentially contaminated by nuclear fallout [6]. In the last lastdecade decadethere therehas has been a strong effort in improving spectral analysis techniques. In the been a strong effort in improving spectral analysis techniques which which led to high-accuracy identification of radionuclides present in the environment [7], led to high-accuracy identification of radionuclides present in the environment [7], and and to the possibility of performing time surveys, especially in the framework of homeland to the possibility of performing real timereal surveys, especially in the framework of homeland security security applications [8]

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