<ddi:DDIInstance xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="ddi:instance:3_3 http://ddialliance.org/Specification/DDI-Lifecycle/3.3/XMLSchema/instance.xsd" xmlns:xsd="http://www.w3.org/2001/XMLSchema" xmlns:ddi="ddi:instance:3_3" xmlns:r="ddi:reusable:3_3" xmlns:s="ddi:studyunit:3_3" xmlns:d="ddi:datacollection:3_3" xmlns:a="ddi:archive:3_3" xmlns:c="ddi:conceptualcomponent:3_3" xmlns:cm="ddi:comparative:3_3" xmlns:g="ddi:group:3_3" xmlns:l="ddi:logicalproduct:3_3" xmlns:p="ddi:physicaldataproduct:3_3" xmlns:pi="ddi:physicalinstance:3_3" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xhtml="http://www.w3.org/1999/xhtml" xmlns:xml="http://www.w3.org/XML/1998/namespace" isMaintainable="true" scopeOfUniqueness="Agency">
  <r:URN>urn:ddi:se.researchdata:2025-170:1</r:URN>
  <r:Agency>SND</r:Agency>
  <r:ID>2025-170</r:ID>
  <r:Version>1</r:Version>
  <g:ResourcePackage>
    <r:URN>urn:ddi:se.researchdata:2025-170.ResourcePackage:2.0</r:URN>
    <r:OtherMaterialScheme>
      <r:URN>urn:ddi:se.researchdata:2025-170.OtherMaterialScheme:2.0</r:URN>
    </r:OtherMaterialScheme>
    <a:OrganizationScheme>
      <r:URN>urn:ddi:se.researchdata:2025-170.OrganizationScheme-0:2.0</r:URN>
      <a:Individual>
        <r:URN>urn:ddi:se.researchdata:2025-170.Individual-0:2.0</r:URN>
        <r:UserAttributePair>
          <r:AttributeKey>affiliation</r:AttributeKey>
          <r:AttributeValue>Department of Forest Ecology and Management, Swedish University of Agricultural Sciences</r:AttributeValue>
        </r:UserAttributePair>
        <a:IndividualIdentification>
          <a:IndividualName>
            <a:FirstGiven>Mariana</a:FirstGiven>
            <a:LastFamily>Busarello</a:LastFamily>
            <a:FullName>
              <r:String>Mariana Busarello</r:String>
            </a:FullName>
          </a:IndividualName>
          <a:ResearcherID>
            <a:TypeOfID>ORCID</a:TypeOfID>
            <a:ResearcherIdentification>0000-0002-4399-0804</a:ResearcherIdentification>
          </a:ResearcherID>
        </a:IndividualIdentification>
      </a:Individual>
      <a:Individual>
        <r:URN>urn:ddi:se.researchdata:2025-170.Individual-0:2.0</r:URN>
        <r:UserAttributePair>
          <r:AttributeKey>affiliation</r:AttributeKey>
          <r:AttributeValue>Department of Forest Ecology and Management, Swedish University of Agricultural Sciences</r:AttributeValue>
        </r:UserAttributePair>
        <a:IndividualIdentification>
          <a:IndividualName>
            <a:FirstGiven>William</a:FirstGiven>
            <a:LastFamily>Lidberg</a:LastFamily>
            <a:FullName>
              <r:String>William Lidberg</r:String>
            </a:FullName>
          </a:IndividualName>
          <a:ResearcherID>
            <a:TypeOfID>ORCID</a:TypeOfID>
            <a:ResearcherIdentification>0000-0001-5780-5596</a:ResearcherIdentification>
          </a:ResearcherID>
        </a:IndividualIdentification>
      </a:Individual>
      <a:Individual>
        <r:URN>urn:ddi:se.researchdata:2025-170.Individual-0:2.0</r:URN>
        <r:UserAttributePair>
          <r:AttributeKey>affiliation</r:AttributeKey>
          <r:AttributeValue>Department of Forest Ecology and Management, Swedish University of Agricultural Sciences</r:AttributeValue>
        </r:UserAttributePair>
        <a:IndividualIdentification>
          <a:IndividualName>
            <a:FirstGiven>Anneli</a:FirstGiven>
            <a:LastFamily>Ågren</a:LastFamily>
            <a:FullName>
              <r:String>Anneli Ågren</r:String>
            </a:FullName>
          </a:IndividualName>
          <a:ResearcherID>
            <a:TypeOfID>ORCID</a:TypeOfID>
            <a:ResearcherIdentification>0000-0002-6758-3971</a:ResearcherIdentification>
          </a:ResearcherID>
        </a:IndividualIdentification>
      </a:Individual>
      <a:Individual>
        <r:URN>urn:ddi:se.researchdata:2025-170.Individual-0:2.0</r:URN>
        <r:UserAttributePair>
          <r:AttributeKey>affiliation</r:AttributeKey>
          <r:AttributeValue>Department of Computing, Jönköping University</r:AttributeValue>
        </r:UserAttributePair>
        <a:IndividualIdentification>
          <a:IndividualName>
            <a:FirstGiven>Florian</a:FirstGiven>
            <a:LastFamily>Westphal</a:LastFamily>
            <a:FullName>
              <r:String>Florian Westphal</r:String>
            </a:FullName>
          </a:IndividualName>
          <a:ResearcherID>
            <a:TypeOfID>ORCID</a:TypeOfID>
            <a:ResearcherIdentification>0000-0002-2161-7371</a:ResearcherIdentification>
          </a:ResearcherID>
        </a:IndividualIdentification>
      </a:Individual>
    </a:OrganizationScheme>
  </g:ResourcePackage>
  <s:StudyUnit>
    <r:URN>urn:ddi:se.researchdata:2025-170.StudyUnit:2.0</r:URN>
    <r:UserID typeOfUserID="datasetIdentifier">2025-170</r:UserID>
    <r:UserID typeOfUserID="principalRegistrationNumber">SLU.seksko.2024.4.4.IÄ-1</r:UserID>
    <r:Citation>
      <r:Title>
        <r:String xml:lang="sv">Klassificering av diken och vattendragskanaler kartlagda från högupplösta digitala höjdmodeller med hjälp av maskininlärning</r:String>
        <r:String xml:lang="en">Classifying Ditch and Stream Channels Mapped From High-Resolution Digital Elevation Models Using Machine Learning</r:String>
      </r:Title>
      <r:Creator>
        <r:CreatorReference>
          <r:URN>urn:ddi:se.researchdata:2025-170.Individual-0:2.0</r:URN>
          <r:TypeOfObject>Individual</r:TypeOfObject>
        </r:CreatorReference>
      </r:Creator>
      <r:Publisher>
        <r:PublisherName>
          <r:String xml:lang="sv">Sveriges lantbruksuniversitet</r:String>
          <r:String xml:lang="en">Swedish University of Agricultural Sciences</r:String>
        </r:PublisherName>
      </r:Publisher>
      <r:Publisher>
        <r:PublisherName>
          <r:String xml:lang="sv">Sveriges lantbruksuniversitet</r:String>
          <r:String xml:lang="en">Swedish University of Agricultural Sciences</r:String>
        </r:PublisherName>
      </r:Publisher>
      <r:PublicationDate>
        <r:SimpleDate>2026-06-23</r:SimpleDate>
      </r:PublicationDate>
      <r:InternationalIdentifier>
        <r:IdentifierContent>10.5878/r0x8-kx56</r:IdentifierContent>
        <r:ManagingAgency controlledVocabularyAgencyName="DOI">DOI</r:ManagingAgency>
      </r:InternationalIdentifier>
    </r:Citation>
    <r:Abstract>
      <r:Content xml:lang="sv">Den här datamängden innehåller digitala höjdmodeller i 0,5 meters upplösningoch polyline-shapefiler med placeringen av kanaler från de 12 studieområdena som används i denna studie. 

Den innehåller också koden för att generera datamängderna som används för att träna maskinlärningsmodellerna som används för att klassificera diken och vattendrag, och beräkna hydrologiska index. Koden för att träna modellen ingår också, tillsammans med de erhållna modellerna. 

För markdata kartlades kanalerna på olika sätt baserat på deras typ: diken digitaliserades manuellt baserat på visuell analys av vissa topografiska index och ortofoton som erhållits från DEM. 
Vattendrag kartlades genom att initialt detektera alla naturliga kanalhuvuden, sedan spåra de nedströms kanalerna och slutligen manuellt redigera dem baserat på ortofoton. 

Vi rekommenderar att man använder Docker för att ställa in miljön.</r:Content>
      <r:Content xml:lang="en">This data contains the digital elevation models with 0.5 m resolution and polyline shapefiles with the location of channels from the 12 study areas used in this study. 

It also has the scripts to generate the datasets used to train the machine learning model to classify channels into ditches and streams, and calculate the hydrological indices. The code to train the model is also included, along with the models obtained. 

For the ground truth data, the channels were mapped differently based on their type: ditches were manually digitized based on the visual analysis of some topographic indices and orthophotos obtained from the DEM. Streams were mapped by initially detecting all natural channel heads, then tracing the downstream channels, and finally manually editing them based on orthophotos. 

We recommend using Docker to set the environment.</r:Content>
    </r:Abstract>
    <r:Coverage>
      <r:TopicalCoverage>
        <r:URN>urn:ddi:se.researchdata:2025-170.TopicalCoverage:2.0</r:URN>
        <r:Subject xml:lang="en" controlledVocabularyID="10503" controlledVocabularyName="Standard för svensk indelning av forskningsämnen 2025">Multidisciplinary Geosciences</r:Subject>
        <r:Subject xml:lang="sv" controlledVocabularyID="10503" controlledVocabularyName="Standard för svensk indelning av forskningsämnen 2025">Multidisciplinär geovetenskap</r:Subject>
        <r:Subject xml:lang="en" controlledVocabularyID="10507" controlledVocabularyName="Standard för svensk indelning av forskningsämnen 2025">Physical Geography</r:Subject>
        <r:Subject xml:lang="sv" controlledVocabularyID="10507" controlledVocabularyName="Standard för svensk indelning av forskningsämnen 2025">Naturgeografi</r:Subject>
        <r:Subject xml:lang="en" controlledVocabularyID="40106" controlledVocabularyName="Standard för svensk indelning av forskningsämnen 2025">Soil Science</r:Subject>
        <r:Subject xml:lang="sv" controlledVocabularyID="40106" controlledVocabularyName="Standard för svensk indelning av forskningsämnen 2025">Markvetenskap</r:Subject>
        <r:Subject xml:lang="en" controlledVocabularyID="imagery-base-maps-earth-cover" controlledVocabularyName="INSPIRE topic categories">Imagery / Base Maps / Earth Cover</r:Subject>
        <r:Subject xml:lang="sv" controlledVocabularyID="imagery-base-maps-earth-cover" controlledVocabularyName="INSPIRE topic categories">Arealtäckande bilder och bakgrundskartor</r:Subject>
        <r:Subject xml:lang="en" controlledVocabularyID="geoscientific-information" controlledVocabularyName="INSPIRE topic categories">Geoscientific Information</r:Subject>
        <r:Subject xml:lang="sv" controlledVocabularyID="geoscientific-information" controlledVocabularyName="INSPIRE topic categories">Geovetenskap</r:Subject>
        <r:Subject xml:lang="en" controlledVocabularyID="elevation" controlledVocabularyName="INSPIRE topic categories">Elevation</r:Subject>
        <r:Subject xml:lang="sv" controlledVocabularyID="elevation" controlledVocabularyName="INSPIRE topic categories">Höjddata</r:Subject>
        <r:Subject xml:lang="en" controlledVocabularyID="location" controlledVocabularyName="INSPIRE topic categories">Location</r:Subject>
        <r:Subject xml:lang="sv" controlledVocabularyID="location" controlledVocabularyName="INSPIRE topic categories">Positionering</r:Subject>
        <r:Subject xml:lang="en" controlledVocabularyID="inland-waters" controlledVocabularyName="INSPIRE topic categories">Inland Waters</r:Subject>
        <r:Subject xml:lang="sv" controlledVocabularyID="inland-waters" controlledVocabularyName="INSPIRE topic categories">Sjöar och vattendrag</r:Subject>
        <r:Keyword xml:lang="en" controlledVocabularyID="5e3c573f-a787-4afa-80a4-047c2c5d83f2" controlledVocabularyName="GCMD">RIVERS/STREAMS</r:Keyword>
        <r:Keyword xml:lang="en" controlledVocabularyID="4b276110-57bc-4ed6-b741-1ec0383fa962" controlledVocabularyName="GCMD">WATER CHANNELS</r:Keyword>
        <r:Keyword xml:lang="en" controlledVocabularyID="20292" controlledVocabularyName="EnvThes">digital elevation model</r:Keyword>
        <r:Keyword xml:lang="en" controlledVocabularyID="hy" controlledVocabularyName="INSPIRE Spatial Data Themes">Hydrography</r:Keyword>
        <r:Keyword xml:lang="sv" controlledVocabularyID="hy" controlledVocabularyName="INSPIRE Spatial Data Themes">Hydrografi</r:Keyword>
        <r:Keyword xml:lang="en" controlledVocabularyID="p7366" controlledVocabularyName="YSO">ditches</r:Keyword>
        <r:Keyword xml:lang="sv" controlledVocabularyID="p7366" controlledVocabularyName="YSO">diken</r:Keyword>
        <r:Keyword xml:lang="en" controlledVocabularyID="p21846" controlledVocabularyName="YSO">machine learning</r:Keyword>
        <r:Keyword xml:lang="sv" controlledVocabularyID="p21846" controlledVocabularyName="YSO">maskininlärning</r:Keyword>
        <r:Keyword xml:lang="en" controlledVocabularyID="p2616" controlledVocabularyName="YSO">artificial intelligence</r:Keyword>
        <r:Keyword xml:lang="sv" controlledVocabularyID="p2616" controlledVocabularyName="YSO">artificiell intelligens</r:Keyword>
        <r:Keyword xml:lang="en" controlledVocabularyID="184226" controlledVocabularyName="NASA Thesaurus">lidar</r:Keyword>
      </r:TopicalCoverage>
      <r:SpatialCoverage>
        <r:Description>
          <r:Content xml:lang="en">The data covers 12 study areas spread across Sweden, containing information related to channel type for small water channels. More information with the precise locations can be found at the README.pdf file.</r:Content>
        </r:Description>
      </r:SpatialCoverage>
    </r:Coverage>
    <d:DataCollection>
      <r:URN>urn:ddi:se.researchdata:2025-170.DataCollection:2.0</r:URN>
      <d:CollectionEvent>
        <r:URN>urn:ddi:se.researchdata:2025-170.CollectionEvent:2.0</r:URN>
        <d:DataCollectionDate />
        <d:ModeOfCollection>
          <r:URN>urn:ddi:se.researchdata:2025-170.CollectionEvent-0-ModeOfCollectionType:2.0</r:URN>
          <d:TypeOfModeOfCollection>Computer-based observation</d:TypeOfModeOfCollection>
          <r:Description>
            <r:Content xml:lang="en">Computer-based observation</r:Content>
            <r:Content xml:lang="sv">Datorbaserad observation</r:Content>
          </r:Description>
        </d:ModeOfCollection>
      </d:CollectionEvent>
    </d:DataCollection>
    <a:Archive>
      <r:URN>urn:ddi:se.researchdata:2025-170.Archive:2.0</r:URN>
      <a:ArchiveSpecific>
        <a:Item>
          <a:Access>
            <r:URN>urn:ddi:se.researchdata:2025-170.Archive-ArchiveSpecificType-AccessType:2.0</r:URN>
            <a:TypeOfAccess controlledVocabularyName="info:eu-repo-Access-Terms vocabulary">openAccess</a:TypeOfAccess>
          </a:Access>
          <a:DataFileQuantity>10</a:DataFileQuantity>
        </a:Item>
      </a:ArchiveSpecific>
    </a:Archive>
  </s:StudyUnit>
</ddi:DDIInstance>