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   <identifier identifierType="DOI">10.5880/GFZ.1.4.2020.004</identifier>
   <creators>
      <creator>
         <creatorName nameType="Personal">Eggert, Daniel</creatorName>
         <givenName>Daniel</givenName>
         <familyName>Eggert</familyName>
         <nameIdentifier nameIdentifierScheme="ORCID">0000-0003-0251-4390</nameIdentifier>
         <affiliation affiliationIdentifier="0000-0003-0251-4390" affiliationIdentifierScheme="ORCID">GFZ German Research Centre for Geosciences, Potsdam, Germany</affiliation>
      </creator>
      <creator>
         <creatorName nameType="Personal">Sips, Mike</creatorName>
         <givenName>Mike</givenName>
         <familyName>Sips</familyName>
         <nameIdentifier nameIdentifierScheme="ORCID">0000-0003-3941-7092</nameIdentifier>
         <affiliation affiliationIdentifier="0000-0003-3941-7092" affiliationIdentifierScheme="ORCID">GFZ German Research Centre for Geosciences, Potsdam, Germany</affiliation>
      </creator>
      <creator>
         <creatorName nameType="Personal">Dransch, Doris</creatorName>
         <givenName>Doris</givenName>
         <familyName>Dransch</familyName>
         <affiliation affiliationIdentifier="" affiliationIdentifierScheme="">GFZ German Research Centre for Geosciences, Potsdam, Germany</affiliation>
      </creator>
      <creator>
         <creatorName nameType="Personal">Lavrentiev, Valery</creatorName>
         <givenName>Valery</givenName>
         <familyName>Lavrentiev</familyName>
         <affiliation affiliationIdentifier="" affiliationIdentifierScheme="">GFZ German Research Centre for Geosciences, Potsdam, Germany</affiliation>
      </creator>
   </creators>
   <titles>
      <title>SEVA: Scalable explorative change detection for big Sentinel-2 data</title>
   </titles>
   <publisher>GFZ Data Services</publisher>
   <publicationYear>2020</publicationYear>
   <subjects>
      <subject>remote sensing</subject>
      <subject>satellite data</subject>
      <subject>visualilsation</subject>
      <subject>change detection</subject>
      <subject subjectScheme="NASA/GCMD Earth Science Keywords">EARTH SCIENCE SERVICES &gt; DATA ANALYSIS AND VISUALIZATION</subject>
      <subject subjectScheme="NASA/GCMD Earth Science Keywords">EARTH SCIENCE SERVICES &gt; DATA ANALYSIS AND VISUALIZATION &gt; GEOGRAPHIC INFORMATION SYSTEMS &gt; WEB-BASED GEOGRAPHIC INFORMATION SYSTEMS</subject>
   </subjects>
   <contributors>
      <contributor contributorType="Other">
         <contributorName nameType="Personal">Rüster, Matthias</contributorName>
         <givenName>Matthias</givenName>
         <familyName>Rüster</familyName>
         <nameIdentifier nameIdentifierScheme="ORCID">0000-0001-7305-9044</nameIdentifier>
         <affiliation affiliationIdentifier="0000-0001-7305-9044" affiliationIdentifierScheme="ORCID">GFZ German Research Centre for Geosciences, Potsdam, Germany</affiliation>
      </contributor>
      <contributor contributorType="ContactPerson">
         <contributorName>Sips, Mike</contributorName>
         <affiliation affiliationIdentifier="" affiliationIdentifierScheme="">GFZ German Research Centre for Geosciences, Potsdam, Germany</affiliation>
      </contributor>
   </contributors>
   <resourceType resourceTypeGeneral="Software">Software</resourceType>
   <relatedIdentifiers>
      <relatedIdentifier relatedIdentifierType="URL" relationType="IsVariantFormOf">https://gitext.gfz-potsdam.de/sec15pub/seva/-/tree/v1.0.0</relatedIdentifier>
   </relatedIdentifiers>
   <sizes/>
   <formats/>
   <version>1.0.0</version>
   <rightsList>
      <rights rightsURI="https://www.gnu.org/licenses/gpl-3.0.html">GNU General Public License, Version 3, 29 June 2007, Copyright 2020 Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences</rights>
   </rightsList>
   <descriptions>
      <description descriptionType="Abstract">   
         <br/>
        SEVA is a scalable exploration tool that supports users to conduct change detection based on optical Sentinel-2 satellite observations.    <br/>
        It supports the following essential steps of change detection:    <br/>
            a) exploration and selection of optical satellite images to recognize proper data for the current application scenario,    <br/>
            b) automated extraction of changes from the optical satellite images,    <br/>
            c) analysis of errors and    <br/>
            d) assessment and interpretation of the extracted changes.    <br/>
         <br/>
      </description>
      <description descriptionType="TechnicalInfo">License: GNU General Public License, Version 3, 29 June 2007   <br/>
         <br/>
Copyright © 2020 Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany   <br/>
         <br/>
SEVA is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. SEVA is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/.   <br/>
      </description>
   </descriptions>
   <fundingReferences>
      <fundingReference>
         <funderName>Bundesministerium für Wirtschaft und Energie</funderName>
         <funderIdentifier funderIdentifierType="Crossref Funder ID">http://doi.org/10.13039/501100006360</funderIdentifier>
         <awardNumber>50EE1717</awardNumber>
         <awardTitle>Big Data in der Erdbeobachtung</awardTitle>
      </fundingReference>
   </fundingReferences>
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