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   <identifier identifierType="DOI">10.5880/GFZ.1.4.2018.012</identifier>
   <creators>
      <creator>
         <creatorName nameType="Personal">Coesfeld, Jacqueline</creatorName>
         <givenName>Jacqueline</givenName>
         <familyName>Coesfeld</familyName>
         <affiliation>University of Potsdam, Potsdam, Germany</affiliation>
      </creator>
      <creator>
         <creatorName nameType="Personal">Kyba, Christopher</creatorName>
         <givenName>Christopher</givenName>
         <familyName>Kyba</familyName>
         <nameIdentifier nameIdentifierScheme="ORCID">0000-0001-7014-1843</nameIdentifier>
         <affiliation affiliationIdentifier="0000-0001-7014-1843" affiliationIdentifierScheme="ORCID">GFZ German Research Centre for Geosciences, Potsdam, Germany</affiliation>
      </creator>
   </creators>
   <titles>
      <title>Software supplement to "Variation to Individual Location Radiance in VIIRS DNB Monthly Composite Images"</title>
   </titles>
   <publisher>GFZ Data Services</publisher>
   <publicationYear>2018</publicationYear>
   <subjects>
      <subject>night lights</subject>
      <subject>light pollution</subject>
      <subject>DNB - WHAT DOES DNB STAND FOR?</subject>
      <subject subjectScheme="GCMD Platforms">Earth Observation Satellites &gt; Joint Polar Satellite System (JPSS) &gt; SUOMI-NPP</subject>
      <subject subjectScheme="GCMD Instruments">Earth Remote Sensing Instruments &gt; Passive Remote Sensing &gt; Spectrometers/Radiometers &gt; Imaging Spectrometers/Radiometers &gt; VIIRS</subject>
   </subjects>
   <contributors>
      <contributor contributorType="ContactPerson">
         <contributorName>Kyba, Christopher</contributorName>
         <affiliation affiliationIdentifier="" affiliationIdentifierScheme="">GFZ German Research Centre for Geosciences, Potsdam, Germany</affiliation>
      </contributor>
   </contributors>
   <dates>
      <date dateType="Created">2018-11-12</date>
      <date dateType="Collected">2012-04-01/2017-04-30</date>
   </dates>
   <resourceType resourceTypeGeneral="Software">Software</resourceType>
   <relatedIdentifiers>
      <relatedIdentifier relatedIdentifierType="DOI" relationType="IsSupplementTo">10.3390/rs10121964</relatedIdentifier>
      <relatedIdentifier relatedIdentifierType="URL" relationType="References">https://ngdc.noaa.gov/eog/viirs/download_dnb_composites.html</relatedIdentifier>
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   <version>1.0</version>
   <rightsList>
      <rights rightsURI="http://www.apache.org/licenses/LICENSE-2.0">Apache License, Version 2.0 (ALv2)</rights>
   </rightsList>
   <descriptions>
      <description descriptionType="Abstract">This set of Python-code is used to analyse the variation of VIIRS DNB nighttime imagery. The code is inline documented and the readme provides information on what is needed to run the code, and what order to run it in. These routines were used to produce the data and plots in the paper: Variation of Individual Location Radiance in VIIRS Day/Night Band Monthly Composite Images (Coesfeld et al. 2018).   <br/>
         <br/>
         <br/>
 Monthly VIIRS DNB data can be downloaded from NOAA: https://ngdc.noaa.gov/eog/viirs/download_dnb_composites.html   <br/>
      </description>
      <description descriptionType="Other">Copyright [2018] [Jacqueline Coesfeld, Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences]   <br/>
 Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at   <br/>
 http://www.apache.org/licenses/LICENSE-2.0   <br/>
 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.   <br/>
      </description>
   </descriptions>
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   <fundingReferences>
      <fundingReference>
         <funderName>Horizon 2020 Framework Programme</funderName>
         <funderIdentifier funderIdentifierType="Crossref Funder ID">http://doi.org/10.13039/100010661</funderIdentifier>
         <awardNumber>689443</awardNumber>
         <awardTitle>GEOEssential</awardTitle>
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