Fast Fourier-transform calculation of artificial night sky brightness maps

Bibliographic Details
Main Author: Bará, Salvador
Publication Date: 2020
Other Authors: Falchi, Fabio, Furgoni, Riccardo, Lima, Raul Cerveira
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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spelling 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
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.22/14753
url http://hdl.handle.net/10400.22/14753
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1016/j.jqsrt.2019.106658
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dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
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