Classification of artificial light sources in the Yamal Peninsula, Western Siberia
Cite as:
Coesfeld, Jacqueline; Kyba, Christopher (2020): Classification of artificial light sources in the Yamal Peninsula, Western Siberia. GFZ Data Services. https://doi.org/10.5880/GFZ.1.4.2019.007
Status
I N R E V I E W : Coesfeld, Jacqueline; Kyba, Christopher (2020): Classification of artificial light sources in the Yamal Peninsula, Western Siberia. GFZ Data Services. https://doi.org/10.5880/GFZ.1.4.2019.007
Abstract
This dataset and code are related to artificial light emissions in the arctic area. They are a supplement to the report "Capabilities and limitations of advanced optical satellite missions for snow, vegetation, and artificial light source applications in Arctic areas".
Dataset:
The Radiance Light Trends app was used to identify artificial light sources on the Yamal Peninsula in Russia. In order to determine whether a location was lit, a threshold of 5 nW/cm² sr (displayed in yellow in the Radiance Light Trends app) was defined. Visible band daytime imagery from Google Maps and Bing Maps was then used to identify what type of human activity was responsible for the light. The positions of the 78 lit areas and their light source classification are provided in a csv table and kmz file. The classes are defined as: industry, industry / flare, community, ship/ airport, road, water and unknown. This data publication includes the artificial light sources on the Yamal Penninsula (Western Siberia) in .csv and .kmz formats.
Code:
The data publication includes the python code "Arctic light pollution clustering script", which identifies areas with bright light emissions in the arctic. The script requires the monthly composite images from the Day/Night Band of the Visible Infrared Imaging Radiometer Suite produced by the Earth Observation Group as an input. These data are currently available here: https://eogdata.mines.edu/download_dnb_composites.html
Additional Information
Licence for the "Arctic light pollution clustering script":
MIT Licence
Copyright (2020) Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Authors
Coesfeld, Jacqueline;GFZ German Research Centre for Geosciences, Potsdam, Germany
Kyba, Christopher;GFZ German Research Centre for Geosciences, Potsdam, Germany
Contact
Kyba, Christopher; GFZ German Research Centre for Geosciences, Potsdam, Germany; ➦
Funders
Horizon 2020 Framework Programme:
iCUPE (689443)
Keywords
night, light pollution, effect > environmental change, environmental impact, land > climatic zone > polar region > Arctic region, pollution
affiliation (affiliationIdentifier=0000-0001-7014-1843 affiliationIdentifierScheme=ORCID): GFZ German Research Centre for Geosciences, Potsdam, Germany
titles
title: Classification of artificial light sources in the Yamal Peninsula, Western Siberia
affiliation (affiliationIdentifier=0000-0001-7014-1843 affiliationIdentifierScheme=ORCID): GFZ German Research Centre for Geosciences, Potsdam, Germany
contributor (contributorType=ContactPerson)
contributorName: Kyba, Christopher
affiliation (affiliationIdentifier= affiliationIdentifierScheme=): GFZ German Research Centre for Geosciences, Potsdam, Germany
CharacterString: This dataset and code are related to artificial light emissions in the arctic area. They are a supplement to the report "Capabilities and limitations of advanced optical satellite missions for snow, vegetation, and artificial light source applications in Arctic areas".
Dataset:
The Radiance Light Trends app was used to identify artificial light sources on the Yamal Peninsula in Russia. In order to determine whether a location was lit, a threshold of 5 nW/cm² sr (displayed in yellow in the Radiance Light Trends app) was defined. Visible band daytime imagery from Google Maps and Bing Maps was then used to identify what type of human activity was responsible for the light. The positions of the 78 lit areas and their light source classification are provided in a csv table and kmz file. The classes are defined as: industry, industry / flare, community, ship/ airport, road, water and unknown. This data publication includes the artificial light sources on the Yamal Penninsula (Western Siberia) in .csv and .kmz formats.
Code:
The data publication includes the python code "Arctic light pollution clustering script", which identifies areas with bright light emissions in the arctic. The script requires the monthly composite images from the Day/Night Band of the Visible Infrared Imaging Radiometer Suite produced by the Earth Observation Group as an input. These data are currently available here: https://eogdata.mines.edu/download_dnb_composites.html
CI_OnLineFunctionCode (codeList=http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_OnLineFunctionCode codeListValue=http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_OnLineFunctionCode_information): information
Released
Dataset
Abstract
;GFZ German Research Centre for Geosciences, Potsdam, Germany
Files
