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Hyperspectral remote sensing for light pollution monitoring

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A possible application of hyperspectral remote sensing regards the assessment of light pollution due to cities and 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 airplane from an altitude of 1.5-2.0 km. Together with the acquired images, we also describe the experimental activities which preceded the remote sensing campaign in order to optimise the sensor configuration. The obtained results put 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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... Hyperspectral imaging is also faced with the challenges of high dynamic range radiance distributions, noise level (Alamús et al., 2017) and scanning methods. Nevertheless, hyperspectral light pollution measurements still have undeniable benefits in revealing the features hindered by artificial light in remote sensing (Barducci et al., 2003(Barducci et al., , 2006 and identifying the lamp types in urban lighting (Dobler et al., 2016;Kruse & Elvidge, 2011). ...
... The problem of light pollution has been important since the 1960s due to urban development and the use of artificial lights and bulbs at night (Hosseini and Nasiri, 2007). This kind of pollution is a problem that affects almost every urban area and is produced by a large number of light sources that throw light into the sky, and because of the presence of dust and aerosols in the atmosphere, the light scattered by the sky Clarifies (Barducci et al., 2006). ...
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