Cargando…
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...
Autores principales: | , , , |
---|---|
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 |
_version_ | 1783549144723357696 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7309094 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT coesfeldjacqueline reducingvariabilityandremovingnaturallightfromnighttimesatelliteimageryacasestudyusingtheviirsdnb AT kuestertheres reducingvariabilityandremovingnaturallightfromnighttimesatelliteimageryacasestudyusingtheviirsdnb AT kuechlyhelgau reducingvariabilityandremovingnaturallightfromnighttimesatelliteimageryacasestudyusingtheviirsdnb AT kybachristophercm reducingvariabilityandremovingnaturallightfromnighttimesatelliteimageryacasestudyusingtheviirsdnb |