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  <identifier identifierType="DOI">10.7923/92HF-GP09</identifier>
  <creators>
    <creator>
      <creatorName nameType="Personal">Marie, Valorie</creatorName>
      <givenName>Valorie</givenName>
      <familyName>Marie</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org">https://orcid.org/0000-0003-3051-4312</nameIdentifier>
      <affiliation affiliationIdentifier="https://ror.org/02e3zdp86" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">Boise State University</affiliation>
    </creator>
    <creator>
      <creatorName nameType="Personal">Zaiats, Andrii</creatorName>
      <givenName>Andrii</givenName>
      <familyName>Zaiats</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org">https://orcid.org/0000-0001-8978-4152</nameIdentifier>
      <affiliation affiliationIdentifier="https://ror.org/02e3zdp86" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">Boise State University</affiliation>
    </creator>
    <creator>
      <creatorName nameType="Personal">Wickersham, Ryan</creatorName>
      <givenName>Ryan</givenName>
      <familyName>Wickersham</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org">https://orcid.org/0000-0001-6957-8706</nameIdentifier>
      <affiliation affiliationIdentifier="https://ror.org/02e3zdp86" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">Boise State University</affiliation>
    </creator>
    <creator>
      <creatorName nameType="Personal">Caughlin, T. Trevor</creatorName>
      <givenName>T. Trevor</givenName>
      <familyName>Caughlin</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org">https://orcid.org/0000-0001-6752-2055</nameIdentifier>
      <affiliation affiliationIdentifier="https://ror.org/02e3zdp86" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">Boise State University</affiliation>
    </creator>
  </creators>
  <titles>
    <title xml:lang="en">Open Drone Map: Structure-from-Motion Workflow</title>
  </titles>
  <publisher>University of Idaho</publisher>
  <publicationYear>2023</publicationYear>
  <resourceType resourceTypeGeneral="Workflow">CreativeWork</resourceType>
  <subjects>
    <subject subjectScheme="Fields of Science and Technology (FOS)" schemeURI="http://www.oecd.org/science/inno" valueURI="http://www.oecd.org/science/inno/38235147.pdf">FOS: Environmental engineering</subject>
  </subjects>
  <contributors>
    <contributor contributorType="ProjectLeader">
      <contributorName nameType="Personal">Caughlin, T. Trevor</contributorName>
      <givenName>T. Trevor</givenName>
      <familyName>Caughlin</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org">https://orcid.org/0000-0001-6752-2055</nameIdentifier>
      <affiliation affiliationIdentifier="https://ror.org/02e3zdp86" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">Boise State University</affiliation>
    </contributor>
    <contributor contributorType="DataManager">
      <contributorName nameType="Personal">Child, Andrew Wright</contributorName>
      <givenName>Andrew Wright</givenName>
      <familyName>Child</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org">https://orcid.org/0000-0001-6666-0739</nameIdentifier>
      <affiliation affiliationIdentifier="https://ror.org/03hbp5t65" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">University of Idaho</affiliation>
    </contributor>
  </contributors>
  <language>en</language>
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    <size>1.4 MB</size>
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    <format>application/pdf</format>
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  <version>1.0</version>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
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  <descriptions>
    <description xml:lang="en" descriptionType="Abstract">This document shows a workflow to complete image processing and photogrammetry, also known as structure-from-motion. To process our projects, we used the WebODM versions 2.8.4 to 2.8.8 Native Windows Application. The first part of the workflow follows the flow for an RGB sensor to extract products such as an orthomosaic, digital elevation model, and 3-dimensional point cloud. The workflow assumes the use of ground control points collected in the field and visible in the imagery, which allows for an accurate geographical spatial reference. The second section covers multispectral sensor data, including how the processing differs from the RGB workflow. 

The third section has all the Plant Health Options available in post-processing in WebODM, such as Normalized Difference Vegetation Index (NDVI) and Green Leaf Index (GLI), to name a couple. Finally, the last two sections have additional resources that have been gathered to assist in troubleshooting and some WebODM Community Pages that have been useful in sorting out some issues along the way.</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>National Science Foundation</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">https://doi.org/10.13039/100000001</funderIdentifier>
      <awardNumber awardURI="https://www.nsf.gov/awardsearch/showAward?AWD_ID=1757324">OIA-1757324</awardNumber>
      <awardTitle>RII Track-1: Linking Genome to Phenome to Predict Adaptive Responses of Organisms to Changing Landscapes</awardTitle>
    </fundingReference>
    <fundingReference>
      <funderName>National Science Foundation</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">https://doi.org/10.13039/100000001</funderIdentifier>
      <awardNumber awardURI="https://www.nsf.gov/awardsearch/showAward?AWD_ID=2207158">BIO-2207158</awardNumber>
      <awardTitle>EAGER: Scaling Up Plant Demographic Rates with Imagery from Unoccupied Aerial Systems</awardTitle>
    </fundingReference>
    <fundingReference>
      <funderName>National Aeronautics and Space Administration</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">https://doi.org/10.13039/100000104</funderIdentifier>
      <awardNumber>80NSSC21K1638</awardNumber>
      <awardTitle>Integrating UAS, Landsat, and ECOSTRESS to fit landscape-level demographic models for climate-resilient ecological restoration</awardTitle>
    </fundingReference>
  </fundingReferences>
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