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Accuracy of Flight Altitude Measured with Low-Cost GNSS, Radar and Barometer Sensors: Implications for Airborne Radiometric Surveys
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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5579878/ https://www.ncbi.nlm.nih.gov/pubmed/28813023 http://dx.doi.org/10.3390/s17081889 |
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author | Albéri, Matteo Baldoncini, Marica Bottardi, Carlo Chiarelli, Enrico Fiorentini, Giovanni Raptis, Kassandra Giulia Cristina Realini, Eugenio Reguzzoni, Mirko Rossi, Lorenzo Sampietro, Daniele Strati, Virginia Mantovani, Fabio |
author_facet | Albéri, Matteo Baldoncini, Marica Bottardi, Carlo Chiarelli, Enrico Fiorentini, Giovanni Raptis, Kassandra Giulia Cristina Realini, Eugenio Reguzzoni, Mirko Rossi, Lorenzo Sampietro, Daniele Strati, Virginia Mantovani, Fabio |
author_sort | Albéri, Matteo |
collection | PubMed |
description | 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%. |
format | Online Article Text |
id | pubmed-5579878 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-55798782017-09-06 Accuracy of Flight Altitude Measured with Low-Cost GNSS, Radar and Barometer Sensors: Implications for Airborne Radiometric Surveys Albéri, Matteo Baldoncini, Marica Bottardi, Carlo Chiarelli, Enrico Fiorentini, Giovanni Raptis, Kassandra Giulia Cristina Realini, Eugenio Reguzzoni, Mirko Rossi, Lorenzo Sampietro, Daniele Strati, Virginia Mantovani, Fabio Sensors (Basel) Article 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%. MDPI 2017-08-16 /pmc/articles/PMC5579878/ /pubmed/28813023 http://dx.doi.org/10.3390/s17081889 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Albéri, Matteo Baldoncini, Marica Bottardi, Carlo Chiarelli, Enrico Fiorentini, Giovanni Raptis, Kassandra Giulia Cristina Realini, Eugenio Reguzzoni, Mirko Rossi, Lorenzo Sampietro, Daniele Strati, Virginia Mantovani, Fabio Accuracy of Flight Altitude Measured with Low-Cost GNSS, Radar and Barometer Sensors: Implications for Airborne Radiometric Surveys |
title | Accuracy of Flight Altitude Measured with Low-Cost GNSS, Radar and Barometer Sensors: Implications for Airborne Radiometric Surveys |
title_full | Accuracy of Flight Altitude Measured with Low-Cost GNSS, Radar and Barometer Sensors: Implications for Airborne Radiometric Surveys |
title_fullStr | Accuracy of Flight Altitude Measured with Low-Cost GNSS, Radar and Barometer Sensors: Implications for Airborne Radiometric Surveys |
title_full_unstemmed | Accuracy of Flight Altitude Measured with Low-Cost GNSS, Radar and Barometer Sensors: Implications for Airborne Radiometric Surveys |
title_short | Accuracy of Flight Altitude Measured with Low-Cost GNSS, Radar and Barometer Sensors: Implications for Airborne Radiometric Surveys |
title_sort | accuracy of flight altitude measured with low-cost gnss, radar and barometer sensors: implications for airborne radiometric surveys |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5579878/ https://www.ncbi.nlm.nih.gov/pubmed/28813023 http://dx.doi.org/10.3390/s17081889 |
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