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Reducing Variability and Removing Natural Light from Nighttime Satellite Imagery: A Case Study Using the VIIRS DNB

Temporal variation of natural light sources such as airglow limits the ability of night light sensors to detect changes in small sources of artificial light (such as villages). This study presents a method for correcting for this effect globally, using the satellite radiance detected from regions wi...

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Detalles Bibliográficos
Autores principales: Coesfeld, Jacqueline, Kuester, Theres, Kuechly, Helga U., Kyba, Christopher C. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7309094/
https://www.ncbi.nlm.nih.gov/pubmed/32526958
http://dx.doi.org/10.3390/s20113287
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author Coesfeld, Jacqueline
Kuester, Theres
Kuechly, Helga U.
Kyba, Christopher C. M.
author_facet Coesfeld, Jacqueline
Kuester, Theres
Kuechly, Helga U.
Kyba, Christopher C. M.
author_sort Coesfeld, Jacqueline
collection PubMed
description Temporal variation of natural light sources such as airglow limits the ability of night light sensors to detect changes in small sources of artificial light (such as villages). This study presents a method for correcting for this effect globally, using the satellite radiance detected from regions without artificial light emissions. We developed a routine to define an approximate grid of locations worldwide that do not have regular light emission. We apply this method with a 5 degree equally spaced global grid (total of 2016 individual locations), using data from the Visible Infrared Imaging Radiometer Suite (VIIRS) Day-Night Band (DNB). This code could easily be adapted for other future global sensors. The correction reduces the standard deviation of data in the Earth Observation Group monthly DNB composites by almost a factor of two. The code and datasets presented here are available under an open license by GFZ Data Services, and are implemented in the Radiance Light Trends web application.
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spelling pubmed-73090942020-06-25 Reducing Variability and Removing Natural Light from Nighttime Satellite Imagery: A Case Study Using the VIIRS DNB Coesfeld, Jacqueline Kuester, Theres Kuechly, Helga U. Kyba, Christopher C. M. Sensors (Basel) Article Temporal variation of natural light sources such as airglow limits the ability of night light sensors to detect changes in small sources of artificial light (such as villages). This study presents a method for correcting for this effect globally, using the satellite radiance detected from regions without artificial light emissions. We developed a routine to define an approximate grid of locations worldwide that do not have regular light emission. We apply this method with a 5 degree equally spaced global grid (total of 2016 individual locations), using data from the Visible Infrared Imaging Radiometer Suite (VIIRS) Day-Night Band (DNB). This code could easily be adapted for other future global sensors. The correction reduces the standard deviation of data in the Earth Observation Group monthly DNB composites by almost a factor of two. The code and datasets presented here are available under an open license by GFZ Data Services, and are implemented in the Radiance Light Trends web application. MDPI 2020-06-09 /pmc/articles/PMC7309094/ /pubmed/32526958 http://dx.doi.org/10.3390/s20113287 Text en © 2020 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Coesfeld, Jacqueline
Kuester, Theres
Kuechly, Helga U.
Kyba, Christopher C. M.
Reducing Variability and Removing Natural Light from Nighttime Satellite Imagery: A Case Study Using the VIIRS DNB
title Reducing Variability and Removing Natural Light from Nighttime Satellite Imagery: A Case Study Using the VIIRS DNB
title_full Reducing Variability and Removing Natural Light from Nighttime Satellite Imagery: A Case Study Using the VIIRS DNB
title_fullStr Reducing Variability and Removing Natural Light from Nighttime Satellite Imagery: A Case Study Using the VIIRS DNB
title_full_unstemmed Reducing Variability and Removing Natural Light from Nighttime Satellite Imagery: A Case Study Using the VIIRS DNB
title_short Reducing Variability and Removing Natural Light from Nighttime Satellite Imagery: A Case Study Using the VIIRS DNB
title_sort reducing variability and removing natural light from nighttime satellite imagery: a case study using the viirs dnb
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7309094/
https://www.ncbi.nlm.nih.gov/pubmed/32526958
http://dx.doi.org/10.3390/s20113287
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