September 15, 2021 Conference paper Open Access

Kavats, Olena; Khramov, Dmitriy; Sergieieva, Kateryna

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  <identifier identifierType="DOI">10.5281/zenodo.5509029</identifier>
  <creators>
    <creator>
      <creatorName>Kavats, Olena</creatorName>
      <givenName>Olena</givenName>
      <familyName>Kavats</familyName>
      <affiliation>Earth Observing System, 1906 El Camino Real, Suite 201, Menlo Park, CA 94027, USA</affiliation>
    </creator>
    <creator>
      <creatorName>Khramov, Dmitriy</creatorName>
      <givenName>Dmitriy</givenName>
      <familyName>Khramov</familyName>
      <affiliation>Earth Observing System, 1906 El Camino Real, Suite 201, Menlo Park, CA 94027, USA</affiliation>
    </creator>
    <creator>
      <creatorName>Sergieieva, Kateryna</creatorName>
      <givenName>Kateryna</givenName>
      <familyName>Sergieieva</familyName>
      <affiliation>Earth Observing System, 1906 El Camino Real, Suite 201, Menlo Park, CA 94027, USA</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Algorithm for statistical downscaling of land surface temperature using ElasticNet</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2021</publicationYear>
  <subjects>
    <subject>Land Surface Temperature downscaling</subject>
    <subject>Landsat-8</subject>
    <subject>ElasticNet</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2021-09-15</date>
  </dates>
  <resourceType resourceTypeGeneral="ConferencePaper"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/5509029</alternateIdentifier>
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  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.5509028</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/goldeneye-h2020</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;Nowadays there are many algorithms for statistical downscaling of land surface temperature (LST) that can improve the spatial resolution of this data (Zhan et al., 2013). The problem of existing algorithms is the necessity to select features and adjust the algorithm parameters depending on land surface classes present in the image.&amp;nbsp;The objective was to develop an algorithm for downscaling land surface temperature with parameters minimally dependent on the land surface classes.&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/100010661</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/869398/">869398</awardNumber>
      <awardTitle>Earth observation and Earth GNSS data acquisition and processing platform for safe, sustainable and cost-efficient mining operations</awardTitle>
    </fundingReference>
  </fundingReferences>
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