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  <ref-type name="Journal Article">17</ref-type>
  <contributors>
    <authors>
      <author>Edrich, Ann-Kathrin Margarete</author>
      <author>Yildiz, Anil</author>
      <author>Roscher, Ribana</author>
      <author>Kowalski, Julia</author>
    </authors>
    <subsidiary-authors>
      <author>422410</author>
    </subsidiary-authors>
  </contributors>
  <titles>
    <title>How to enrich training data for machine learning-based landslide hazard prediction with spatio-temporal precipitation information?</title>
    <secondary-title>Georisk : assessment and management of risk for engineered systems and geohazards</secondary-title>
  </titles>
  <periodical>
    <full-title>Georisk : assessment and management of risk for engineered systems and geohazards</full-title>
  </periodical>
  <publisher>Taylor and Francis</publisher>
  <pub-location>Abingdon</pub-location>
  <isbn>1749-9526</isbn>
  <electronic-resource-num>10.1080/17499518.2026.2616779</electronic-resource-num>
  <language>English</language>
  <pages>[1]-28</pages>
  <number/>
  <volume/>
  <abstract/>
  <notes>
    <note>Received 05 Jun 2025, Accepted 07 Jan 2026, Published online: 28 Jan 2026 ; </note>
  </notes>
  <label>0, ; PUB:(DE-HGF)16, ; </label>
  <keywords/>
  <accession-num>WOS:001673423600001</accession-num>
  <work-type>Journal Article</work-type>
  <dates>
    <pub-dates>
      <year>2026</year>
    </pub-dates>
  </dates>
  <accession-num>RWTH-2026-01691</accession-num>
  <year>2026</year>
  <urls>
    <related-urls>
      <url>https://publications.rwth-aachen.de/record/1028531</url>
      <url>https://doi.org/10.1080/17499518.2026.2616779</url>
      <url>&lt;Go to ISI&gt;://WOS:001673423600001</url>
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