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Calibration of an Autonomous Instrument for Monitoring Light Pollution from Drones

The paper presents the calibration activity on the imaging system of the MINLU instrument, an autonomous sensor suite designed for monitoring light pollution using commercial off-the-shelf components. The system is extremely compact and with an overall mass below 3 kg can be easily installed as a pa...

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Autores principales: Fiorentin, Pietro, Bettanini, Carlo, Bogoni, Damiano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6928764/
https://www.ncbi.nlm.nih.gov/pubmed/31766418
http://dx.doi.org/10.3390/s19235091
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author Fiorentin, Pietro
Bettanini, Carlo
Bogoni, Damiano
author_facet Fiorentin, Pietro
Bettanini, Carlo
Bogoni, Damiano
author_sort Fiorentin, Pietro
collection PubMed
description The paper presents the calibration activity on the imaging system of the MINLU instrument, an autonomous sensor suite designed for monitoring light pollution using commercial off-the-shelf components. The system is extremely compact and with an overall mass below 3 kg can be easily installed as a payload for drones or sounding balloons. Drones and air balloons can in fact play an important role in completing upward light emission measurement from satellites allowing an increased spatial and time resolution from convenient altitudes and positions. The proposed system can efficiently measure the luminous intensity and the spectral power density of on-ground emissions providing a useful tool to identify polluting sources and to quantify upward light flux. The metrological performance of the imaging system has been verified through an extensive laboratory test activity using referenced light sources: the overall uncertainty of the multi-luminance meter has been calculated to be 7% of the reading, while the multi-spectrometer has shown a full width at half maximum (FWHM) equal to 10 nm within the measuring range between 400 nm and 700 nm. When operating at an altitude of 200 m, the system can achieve a horizontal resolution at a ground level of 0.12 m with a wavelength resolution able to identify the different lamp technology of outdoor light sources, including light-emitting diode (LED) lights that are undetected by satellites.
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spelling pubmed-69287642019-12-26 Calibration of an Autonomous Instrument for Monitoring Light Pollution from Drones Fiorentin, Pietro Bettanini, Carlo Bogoni, Damiano Sensors (Basel) Article The paper presents the calibration activity on the imaging system of the MINLU instrument, an autonomous sensor suite designed for monitoring light pollution using commercial off-the-shelf components. The system is extremely compact and with an overall mass below 3 kg can be easily installed as a payload for drones or sounding balloons. Drones and air balloons can in fact play an important role in completing upward light emission measurement from satellites allowing an increased spatial and time resolution from convenient altitudes and positions. The proposed system can efficiently measure the luminous intensity and the spectral power density of on-ground emissions providing a useful tool to identify polluting sources and to quantify upward light flux. The metrological performance of the imaging system has been verified through an extensive laboratory test activity using referenced light sources: the overall uncertainty of the multi-luminance meter has been calculated to be 7% of the reading, while the multi-spectrometer has shown a full width at half maximum (FWHM) equal to 10 nm within the measuring range between 400 nm and 700 nm. When operating at an altitude of 200 m, the system can achieve a horizontal resolution at a ground level of 0.12 m with a wavelength resolution able to identify the different lamp technology of outdoor light sources, including light-emitting diode (LED) lights that are undetected by satellites. MDPI 2019-11-21 /pmc/articles/PMC6928764/ /pubmed/31766418 http://dx.doi.org/10.3390/s19235091 Text en © 2019 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
Fiorentin, Pietro
Bettanini, Carlo
Bogoni, Damiano
Calibration of an Autonomous Instrument for Monitoring Light Pollution from Drones
title Calibration of an Autonomous Instrument for Monitoring Light Pollution from Drones
title_full Calibration of an Autonomous Instrument for Monitoring Light Pollution from Drones
title_fullStr Calibration of an Autonomous Instrument for Monitoring Light Pollution from Drones
title_full_unstemmed Calibration of an Autonomous Instrument for Monitoring Light Pollution from Drones
title_short Calibration of an Autonomous Instrument for Monitoring Light Pollution from Drones
title_sort calibration of an autonomous instrument for monitoring light pollution from drones
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6928764/
https://www.ncbi.nlm.nih.gov/pubmed/31766418
http://dx.doi.org/10.3390/s19235091
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