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@ARTICLE{Stomberg:1021060,
      author       = {Stomberg, Timo T. and Leonhardt, Johannes and Weber,
                      Immanuel and Roscher, Ribana},
      title        = {{R}ecognizing protected and anthropogenic patterns in
                      landscapes using interpretable machine learning and
                      satellite imagery},
      journal      = {Frontiers in artificial intelligence},
      volume       = {6},
      issn         = {2624-8212},
      address      = {Lausanne},
      publisher    = {Frontiers Media},
      reportid     = {FZJ-2024-00515},
      pages        = {1278118},
      year         = {2023},
      cin          = {IBG-2},
      ddc          = {004},
      cid          = {I:(DE-Juel1)IBG-2-20101118},
      pnm          = {2173 - Agro-biogeosystems: controls, feedbacks and impact
                      (POF4-217) / DFG project 390732324 - EXC 2070: PhenoRob -
                      Robotik und Phänotypisierung für Nachhaltige
                      Nutzpflanzenproduktion (390732324) / DFG project 450058266 -
                      SFB 1502: Regionaler Klimawandel: Die Rolle von Landnutzung
                      und Wassermanagement (450058266) / DFG project 491111487 -
                      Open-Access-Publikationskosten / 2022 - 2024 /
                      Forschungszentrum Jülich (OAPKFZJ) (491111487) / DFG
                      project 458156377 - MapInWild: Kartierung und Interpretation
                      von Wildnis aus dem Weltraum (458156377)},
      pid          = {G:(DE-HGF)POF4-2173 / G:(GEPRIS)390732324 /
                      G:(GEPRIS)450058266 / G:(GEPRIS)491111487 /
                      G:(GEPRIS)458156377},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {38106982},
      UT           = {WOS:001126465300001},
      doi          = {10.3389/frai.2023.1278118},
      url          = {https://juser.fz-juelich.de/record/1021060},
}