Calculation and Regulation Proposal of Light Pollution from Road Lightings

Cho, Sook-Hyun; Lee, Min Wook; Choi, Hyun‐Chul; Kim, Hoon

doi:10.5207/jieie.2011.25.12.021

Cited by 4 publications

(2 citation statements)

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“…Moreover, NTL also frustrates professional astronomical observations [15][16][17]. With respect to the above-mentioned challenges, the necessity to regulate light pollution becomes furthermore recognized [18][19][20]. The adverse effects of NTL are known to depend crucially on the light spectrum [21,22].…”

Section: Introductionmentioning

confidence: 99%

A New Approach to Identify On-Ground Lamp Types from Night-Time ISS Images

et al. 2021

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Artificial night-time light (NTL), emitted by various on-ground human activities, has become intensive in many regions worldwide. Its adverse effects on human and ecosystem health crucially depend on the light spectrum, making the remote discrimination between different lamp types a highly important task. However, such studies remain extremely limited, and none of them exploit freely available satellite imagery. In the present analysis, the possibility to remotely assess the relative contribution of different lamp types into outdoor lighting is tested. For this sake, we match two data sources: (i) the radiometrically calibrated RGB image provided by the ISS (coarse spectral resolution data), and (ii) a set of in situ measurements with detailed spectral signatures conducted by ourselves (fine spectral resolution data). First, we analyze the fine spectral resolution data: using spectral signatures of standard lamp types from the LICA UCM library as endmembers, we perform an unmixing analysis upon NTL in situ measurements; by this, we obtain the estimates for relative contributions of the standard lamp types in each examined in situ measurement. Afterward, we focus on the coarse spectral resolution data: by using various types of statistical models, we predict the estimated relative contributions of each lamp type via RGB characteristics of spatially corresponding pixels of the ISS image. The built models predict sufficiently well (with R2 reaching ~0.87) the contributions of two standard lamp types: high-pressure sodium (HPS) and metal-halide (MH) lamps, the most widespread lamp types in the study area (Haifa, Israel). The restored map for HPS allocation demonstrates high concordance with the network of municipal roads, while that for MH shows notable coincidence with the industrial facilities and the airport.

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Section: Introductionmentioning

confidence: 99%

A New Approach to Identify On-Ground Lamp Types from Night-Time ISS Images

et al. 2021

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“…Besides, NTL also embarrasses professional astronomical observations (Kyba, 2018;Riegel, 1973;Zhang et al, 2017). With respect to the above-mentioned challenges, the necessity to regulate light pollution becomes further more recognized (Cho et al, 2011;Falchi and Bará, 2020;Morgan-Taylor, 2015).…”

Section: Introductionmentioning

confidence: 99%

A New Approach to Identify on-Ground Lamp Types From Night-Time Iss Images

Rybnikova¹,

Miguel²,

Rybnikov³

et al. 2021

Preprint

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Artificial night-time light (NTL), emitted by various on-ground human activities, becomes further intensive in many regions worldwide. Its adverse effects on humans’ and ecosystems’ health crucially depend on the light spectrum, making the remote discrimination between different lamps a highly important task. However, such studies remain extremely limited, and none of them exploits freely available satellite imagery. In the analysis, the possibility to remotely assess the relative contribution of different lamp types into outdoor lighting is tested. For this sake, the radiometrically calibrated ISS RGB image is used. Spatial resolution of the image is ~20 meters, implying that each pixel may represent a mixture of different lamp types. Unmixing analysis to the detailed spectral signatures of the corresponding in situ measurements is performed, with ‘pure’ lamps’ signatures as the endmembers. Afterward, statistical models to reproduce the results of unmixing based on the broad-band RGB image from the ISS are run. The built models predict well (with R2 reaching ~0.87) the contribution of high-pressure sodium (HPS) and metal-halide (MH) lamps, the most spread in the study area (Haifa, Israel). The restored map for HPS allocation demonstrates high concordance with the network of municipal roads, while that for MH shows notable coincidence with the industrial facilities and the airport.

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Modeling the night sky brightness distribution via new SkyGlow Simulator

Kocifaj

Kundracík

2016

2016 IEEE Lighting Conference of the Visegrad Countries (Lumen V4)

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Calculation and Regulation Proposal of Light Pollution from Road Lightings

Cited by 4 publications

References 0 publications

A New Approach to Identify On-Ground Lamp Types from Night-Time ISS Images

A New Approach to Identify On-Ground Lamp Types from Night-Time ISS Images

A New Approach to Identify on-Ground Lamp Types From Night-Time Iss Images

Modeling the night sky brightness distribution via new SkyGlow Simulator

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