Classification of artificial light sources in the Yamal Peninsula, Western Siberia
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...
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ftgfzpotsdamdata:oai:doidb.wdc-terra.org:6825 2023-05-15T14:52:05+02:00 Classification of artificial light sources in the Yamal Peninsula, Western Siberia Coesfeld, Jacqueline Kyba, Christopher Coesfeld, Jacqueline Kyba, Christopher 65.84582021857136 74.10753896857136 66.8193922850264 73.6226829758045 Yamal Peninsula, 2016 2020 2 Files application/octet-stream https://doi.org/10.5880/GFZ.1.4.2019.007 eng eng GFZ Data Services doi:10.2312/gfz.1.4.2020.001 http://dx.doi.org/10.5880/GFZ.1.4.2019.007 doi:10.5880/GFZ.1.4.2019.007 Data: CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ Code: MIT Licence https://opensource.org/licenses/MIT CC-BY MIT night light pollution pollution environmental impact effect > environmental change land > climatic zone > polar region > Arctic region EARTH SCIENCE > HUMAN DIMENSIONS > ENVIRONMENTAL IMPACTS Earth Remote Sensing Instruments > Passive Remote Sensing > Spectrometers/Radiometers > Imaging Spectrometers/Radiometers > VIIRS Earth Observation Satellites > Joint Polar Satellite System (JPSS) > SUOMI-NPP Dataset 2020 ftgfzpotsdamdata https://doi.org/10.5880/GFZ.1.4.2019.007 https://doi.org/10.2312/gfz.1.4.2020.001 2022-03-10T11:14:40Z 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 Other Licence for the "Arctic light pollution clustering script":MIT LicenceCopyright (2020) Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, GermanyPermission 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. Dataset Arctic Yamal Peninsula Siberia GFZ Data Services (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam) Arctic Yamal Peninsula ENVELOPE(69.873,69.873,70.816,70.816) |
institution |
Open Polar |
collection |
GFZ Data Services (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam) |
op_collection_id |
ftgfzpotsdamdata |
language |
English |
topic |
night light pollution pollution environmental impact effect > environmental change land > climatic zone > polar region > Arctic region EARTH SCIENCE > HUMAN DIMENSIONS > ENVIRONMENTAL IMPACTS Earth Remote Sensing Instruments > Passive Remote Sensing > Spectrometers/Radiometers > Imaging Spectrometers/Radiometers > VIIRS Earth Observation Satellites > Joint Polar Satellite System (JPSS) > SUOMI-NPP |
spellingShingle |
night light pollution pollution environmental impact effect > environmental change land > climatic zone > polar region > Arctic region EARTH SCIENCE > HUMAN DIMENSIONS > ENVIRONMENTAL IMPACTS Earth Remote Sensing Instruments > Passive Remote Sensing > Spectrometers/Radiometers > Imaging Spectrometers/Radiometers > VIIRS Earth Observation Satellites > Joint Polar Satellite System (JPSS) > SUOMI-NPP Coesfeld, Jacqueline Kyba, Christopher Classification of artificial light sources in the Yamal Peninsula, Western Siberia |
topic_facet |
night light pollution pollution environmental impact effect > environmental change land > climatic zone > polar region > Arctic region EARTH SCIENCE > HUMAN DIMENSIONS > ENVIRONMENTAL IMPACTS Earth Remote Sensing Instruments > Passive Remote Sensing > Spectrometers/Radiometers > Imaging Spectrometers/Radiometers > VIIRS Earth Observation Satellites > Joint Polar Satellite System (JPSS) > SUOMI-NPP |
description |
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 Other Licence for the "Arctic light pollution clustering script":MIT LicenceCopyright (2020) Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, GermanyPermission 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. |
author2 |
Coesfeld, Jacqueline Kyba, Christopher |
format |
Dataset |
author |
Coesfeld, Jacqueline Kyba, Christopher |
author_facet |
Coesfeld, Jacqueline Kyba, Christopher |
author_sort |
Coesfeld, Jacqueline |
title |
Classification of artificial light sources in the Yamal Peninsula, Western Siberia |
title_short |
Classification of artificial light sources in the Yamal Peninsula, Western Siberia |
title_full |
Classification of artificial light sources in the Yamal Peninsula, Western Siberia |
title_fullStr |
Classification of artificial light sources in the Yamal Peninsula, Western Siberia |
title_full_unstemmed |
Classification of artificial light sources in the Yamal Peninsula, Western Siberia |
title_sort |
classification of artificial light sources in the yamal peninsula, western siberia |
publisher |
GFZ Data Services |
publishDate |
2020 |
url |
https://doi.org/10.5880/GFZ.1.4.2019.007 |
op_coverage |
65.84582021857136 74.10753896857136 66.8193922850264 73.6226829758045 Yamal Peninsula, 2016 |
long_lat |
ENVELOPE(69.873,69.873,70.816,70.816) |
geographic |
Arctic Yamal Peninsula |
geographic_facet |
Arctic Yamal Peninsula |
genre |
Arctic Yamal Peninsula Siberia |
genre_facet |
Arctic Yamal Peninsula Siberia |
op_relation |
doi:10.2312/gfz.1.4.2020.001 http://dx.doi.org/10.5880/GFZ.1.4.2019.007 doi:10.5880/GFZ.1.4.2019.007 |
op_rights |
Data: CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ Code: MIT Licence https://opensource.org/licenses/MIT |
op_rightsnorm |
CC-BY MIT |
op_doi |
https://doi.org/10.5880/GFZ.1.4.2019.007 https://doi.org/10.2312/gfz.1.4.2020.001 |
_version_ |
1766323210399252480 |