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dc.contributor.authorSánchez de Miguel, A
dc.contributor.authorBennie, J
dc.contributor.authorRosenfeld, E
dc.contributor.authorDzurjak, S
dc.contributor.authorGaston, KJ
dc.date.accessioned2021-08-24T14:57:26Z
dc.date.issued2021-08-21
dc.description.abstractThe global spread of artificial light is eroding the natural night-time environment. The estimation of the pattern and rate of growth of light pollution on multi-decadal scales has nonetheless proven challenging. Here we show that the power of global satellite observable light emissions increased from 1992 to 2017 by at least 49%. We estimate the hidden impact of the transition to solid-state light-emitting diode (LED) technology, which increases emissions at visible wavelengths undetectable to existing satellite sensors, suggesting that the true increase in radiance in the visible spectrum may be as high as globally 270% and 400% on specific regions. These dynamics vary by region, but there is limited evidence that advances in lighting technology have led to decreased emissions.en_GB
dc.identifier.citationVol. 13 (16), article 3311en_GB
dc.identifier.doi10.3390/rs13163311
dc.identifier.urihttp://hdl.handle.net/10871/126861
dc.language.isoenen_GB
dc.publisherMDPIen_GB
dc.relation.urlhttps://doi.org/10.5281/zenodo.5205656en_GB
dc.rights© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).en_GB
dc.subjectALANen_GB
dc.subjectartificial light at nighten_GB
dc.subjectastronomyen_GB
dc.subjectDMSPen_GB
dc.subjectLEDsen_GB
dc.subjectlight pollutionen_GB
dc.subjectmelatoninen_GB
dc.subjectnocturnal ecologyen_GB
dc.subjectVIIRSen_GB
dc.titleFirst Estimation of Global Trends in Nocturnal Power Emissions Reveals Acceleration of Light Pollutionen_GB
dc.typeArticleen_GB
dc.date.available2021-08-24T14:57:26Z
dc.descriptionThis is the final version. Available on open access from MDPI via the DOI in this recorden_GB
dc.descriptionData Availability Statement: All raw data used (DMSP-OLS and VIIRS) are already in the public domain on several platforms like for example Google Earth Engine (https://earthengine.google.com/). The data presented in this research are openly available in https://doi.org/10.5281/zenodo.5205656.en_GB
dc.identifier.eissn2072-4292
dc.identifier.journalRemote Sensingen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2021-08-19
exeter.funder::Natural Environment Research Council (NERC)en_GB
rioxxterms.funderNatural Environment Research Councilen_GB
rioxxterms.identifier.projectNE/P01156X/1en_GB
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2021-08-21
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2021-08-24T14:55:11Z
refterms.versionFCDVoR
refterms.dateFOA2021-08-24T14:57:34Z
refterms.panelAen_GB
rioxxterms.funder.project0b38abb2-b33e-4ec5-8865-9120327a2554en_GB


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© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's licence is described as © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).