Hyperspectral remote sensing for light pollution monitoring

industries. In this paper we introduce the results from a remote sensing campaign performed in September 2001 at night time. For the first time nocturnal light pollution was measured at high spatial and spectral resolution using two airborne hyperspectral sensors, namely the Multispectral Infrared a...

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Main Authors: P. Marcoionni, D. Guzzi, F. Castagnoli, M. Benvenuti, A. Barducci, I. Pippi
Format: Article
Language:English
Published: Istituto Nazionale di Geofisica e Vulcanologia (INGV) 2006-06-01
Series:Annals of Geophysics
Subjects:
Online Access:http://www.annalsofgeophysics.eu/index.php/annals/article/view/3157
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author P. Marcoionni
D. Guzzi
F. Castagnoli
M. Benvenuti
A. Barducci
I. Pippi
author_facet P. Marcoionni
D. Guzzi
F. Castagnoli
M. Benvenuti
A. Barducci
I. Pippi
author_sort P. Marcoionni
collection DOAJ
description industries. In this paper we introduce the results from a remote sensing campaign performed in September 2001 at night time. For the first time nocturnal light pollution was measured at high spatial and spectral resolution using two airborne hyperspectral sensors, namely the Multispectral Infrared and Visible Imaging Spectrometer (MIVIS) and the Visible InfraRed Scanner (VIRS-200). These imagers, generally employed for day-time Earth remote sensing, were flown over the Tuscany coast (Italy) on board of a Casa 212/200 airplane from an altitude of 1.5-2.0 km. We describe the experimental activities which preceded the remote sensing campaign, the optimization of sensor configuration, and the images as far acquired. The obtained results point out the novelty of the performed measurements and highlight the need to employ advanced remote sensing techniques as a spectroscopic tool for light pollution monitoring.
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spelling doaj.art-617c7bf0d20a48f297ab8df9fdaab72b2022-12-22T03:36:03ZengIstituto Nazionale di Geofisica e Vulcanologia (INGV)Annals of Geophysics1593-52132037-416X2006-06-0149110.4401/ag-3157Hyperspectral remote sensing for light pollution monitoringP. MarcoionniD. GuzziF. CastagnoliM. BenvenutiA. BarducciI. Pippiindustries. In this paper we introduce the results from a remote sensing campaign performed in September 2001 at night time. For the first time nocturnal light pollution was measured at high spatial and spectral resolution using two airborne hyperspectral sensors, namely the Multispectral Infrared and Visible Imaging Spectrometer (MIVIS) and the Visible InfraRed Scanner (VIRS-200). These imagers, generally employed for day-time Earth remote sensing, were flown over the Tuscany coast (Italy) on board of a Casa 212/200 airplane from an altitude of 1.5-2.0 km. We describe the experimental activities which preceded the remote sensing campaign, the optimization of sensor configuration, and the images as far acquired. The obtained results point out the novelty of the performed measurements and highlight the need to employ advanced remote sensing techniques as a spectroscopic tool for light pollution monitoring.http://www.annalsofgeophysics.eu/index.php/annals/article/view/3157light pollution monitoringline emissionhyperspectral remote sensingairborne imaging spectrometersdata processing
spellingShingle P. Marcoionni
D. Guzzi
F. Castagnoli
M. Benvenuti
A. Barducci
I. Pippi
Hyperspectral remote sensing for light pollution monitoring
Annals of Geophysics
light pollution monitoring
line emission
hyperspectral remote sensing
airborne imaging spectrometers
data processing
title Hyperspectral remote sensing for light pollution monitoring
title_full Hyperspectral remote sensing for light pollution monitoring
title_fullStr Hyperspectral remote sensing for light pollution monitoring
title_full_unstemmed Hyperspectral remote sensing for light pollution monitoring
title_short Hyperspectral remote sensing for light pollution monitoring
title_sort hyperspectral remote sensing for light pollution monitoring
topic light pollution monitoring
line emission
hyperspectral remote sensing
airborne imaging spectrometers
data processing
url http://www.annalsofgeophysics.eu/index.php/annals/article/view/3157
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AT fcastagnoli hyperspectralremotesensingforlightpollutionmonitoring
AT mbenvenuti hyperspectralremotesensingforlightpollutionmonitoring
AT abarducci hyperspectralremotesensingforlightpollutionmonitoring
AT ipippi hyperspectralremotesensingforlightpollutionmonitoring