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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Main Authors: Pietro Fiorentin, Carlo Bettanini, Damiano Bogoni
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/19/23/5091
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author Pietro Fiorentin
Carlo Bettanini
Damiano Bogoni
author_facet Pietro Fiorentin
Carlo Bettanini
Damiano Bogoni
author_sort Pietro Fiorentin
collection DOAJ
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 doaj.art-d627874d25754839a9c62ec3e7d63e432022-12-22T03:19:28ZengMDPI AGSensors1424-82202019-11-011923509110.3390/s19235091s19235091Calibration of an Autonomous Instrument for Monitoring Light Pollution from DronesPietro Fiorentin0Carlo Bettanini1Damiano Bogoni2Department of Industrial Engineering, University of Padova, 35100 Padova, ItalyDepartment of Industrial Engineering, University of Padova, 35100 Padova, ItalyDepartment of Industrial Engineering, University of Padova, 35100 Padova, ItalyThe 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.https://www.mdpi.com/1424-8220/19/23/5091imaging systemimage luminance measuring devicelight pollutionartificial lightingurban analysisremote sensingphotometryspectral analysisuav
spellingShingle Pietro Fiorentin
Carlo Bettanini
Damiano Bogoni
Calibration of an Autonomous Instrument for Monitoring Light Pollution from Drones
Sensors
imaging system
image luminance measuring device
light pollution
artificial lighting
urban analysis
remote sensing
photometry
spectral analysis
uav
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 imaging system
image luminance measuring device
light pollution
artificial lighting
urban analysis
remote sensing
photometry
spectral analysis
uav
url https://www.mdpi.com/1424-8220/19/23/5091
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AT carlobettanini calibrationofanautonomousinstrumentformonitoringlightpollutionfromdrones
AT damianobogoni calibrationofanautonomousinstrumentformonitoringlightpollutionfromdrones