Fast Fourier-transform calculation of artificial night sky brightness maps
| Main Author: | |
|---|---|
| Publication Date: | 2020 |
| Other Authors: | , , |
| Format: | Article |
| Language: | eng |
| Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
| Download full: | http://hdl.handle.net/10400.22/14753 |
Summary: | Light pollution poses a growing threat to optical astronomy, in addition to its detrimental impacts on the natural environment, the intangible heritage of humankind related to the contemplation of the starry sky and, potentially, on human health. The computation of maps showing the spatial distribution of several light pollution related functions (e.g. the anthropogenic zenithal night sky brightness, or the average brightness of the celestial hemisphere) is a key tool for light pollution monitoring and control, providing the scientific rationale for the adoption of informed decisions on public lighting and astronomical site preservation. The calculation of such maps from satellite radiance data for wide regions of the planet with sub-kilometric spatial resolution often implies a huge amount of basic pixel operations, requiring in many cases extremely large computation times. In this paper we show that, using adequate geographical projections, a wide set of light pollution map calculations can be reframed in terms of two-dimensional convolutions that can be easily evaluated using conventional fast Fourier-transform (FFT) algorithms, with typical computation times smaller than 10^-6 s per output pixel. |
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Fast Fourier-transform calculation of artificial night sky brightness mapsLight pollutionAtmospheric opticsPhotometryRadiometryFourier transformsLight pollution poses a growing threat to optical astronomy, in addition to its detrimental impacts on the natural environment, the intangible heritage of humankind related to the contemplation of the starry sky and, potentially, on human health. The computation of maps showing the spatial distribution of several light pollution related functions (e.g. the anthropogenic zenithal night sky brightness, or the average brightness of the celestial hemisphere) is a key tool for light pollution monitoring and control, providing the scientific rationale for the adoption of informed decisions on public lighting and astronomical site preservation. The calculation of such maps from satellite radiance data for wide regions of the planet with sub-kilometric spatial resolution often implies a huge amount of basic pixel operations, requiring in many cases extremely large computation times. In this paper we show that, using adequate geographical projections, a wide set of light pollution map calculations can be reframed in terms of two-dimensional convolutions that can be easily evaluated using conventional fast Fourier-transform (FFT) algorithms, with typical computation times smaller than 10^-6 s per output pixel.ElsevierREPOSITÓRIO P.PORTOBará, SalvadorFalchi, FabioFurgoni, RiccardoLima, Raul Cerveira2022-01-05T01:30:28Z2020-012020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdftext/plainhttp://hdl.handle.net/10400.22/14753eng10.1016/j.jqsrt.2019.106658info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-03-07T10:15:55Zoai:recipp.ipp.pt:10400.22/14753Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T00:45:23.201587Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
| dc.title.none.fl_str_mv |
Fast Fourier-transform calculation of artificial night sky brightness maps |
| title |
Fast Fourier-transform calculation of artificial night sky brightness maps |
| spellingShingle |
Fast Fourier-transform calculation of artificial night sky brightness maps Bará, Salvador Light pollution Atmospheric optics Photometry Radiometry Fourier transforms |
| title_short |
Fast Fourier-transform calculation of artificial night sky brightness maps |
| title_full |
Fast Fourier-transform calculation of artificial night sky brightness maps |
| title_fullStr |
Fast Fourier-transform calculation of artificial night sky brightness maps |
| title_full_unstemmed |
Fast Fourier-transform calculation of artificial night sky brightness maps |
| title_sort |
Fast Fourier-transform calculation of artificial night sky brightness maps |
| author |
Bará, Salvador |
| author_facet |
Bará, Salvador Falchi, Fabio Furgoni, Riccardo Lima, Raul Cerveira |
| author_role |
author |
| author2 |
Falchi, Fabio Furgoni, Riccardo Lima, Raul Cerveira |
| author2_role |
author author author |
| dc.contributor.none.fl_str_mv |
REPOSITÓRIO P.PORTO |
| dc.contributor.author.fl_str_mv |
Bará, Salvador Falchi, Fabio Furgoni, Riccardo Lima, Raul Cerveira |
| dc.subject.por.fl_str_mv |
Light pollution Atmospheric optics Photometry Radiometry Fourier transforms |
| topic |
Light pollution Atmospheric optics Photometry Radiometry Fourier transforms |
| description |
Light pollution poses a growing threat to optical astronomy, in addition to its detrimental impacts on the natural environment, the intangible heritage of humankind related to the contemplation of the starry sky and, potentially, on human health. The computation of maps showing the spatial distribution of several light pollution related functions (e.g. the anthropogenic zenithal night sky brightness, or the average brightness of the celestial hemisphere) is a key tool for light pollution monitoring and control, providing the scientific rationale for the adoption of informed decisions on public lighting and astronomical site preservation. The calculation of such maps from satellite radiance data for wide regions of the planet with sub-kilometric spatial resolution often implies a huge amount of basic pixel operations, requiring in many cases extremely large computation times. In this paper we show that, using adequate geographical projections, a wide set of light pollution map calculations can be reframed in terms of two-dimensional convolutions that can be easily evaluated using conventional fast Fourier-transform (FFT) algorithms, with typical computation times smaller than 10^-6 s per output pixel. |
| publishDate |
2020 |
| dc.date.none.fl_str_mv |
2020-01 2020-01-01T00:00:00Z 2022-01-05T01:30:28Z |
| dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/article |
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article |
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publishedVersion |
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http://hdl.handle.net/10400.22/14753 |
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http://hdl.handle.net/10400.22/14753 |
| dc.language.iso.fl_str_mv |
eng |
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eng |
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10.1016/j.jqsrt.2019.106658 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf text/plain |
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Elsevier |
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Elsevier |
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