Emergent Challenges for Science sUAS Data Management: Fairness through Community Engagement and Best Practices Development

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  • Additional Information
    • Publication Information:
      MDPI AG, 2019.
    • Publication Date:
      2019
    • Collection:
      LCC:Science
    • Abstract:
      The use of small Unmanned Aircraft Systems (sUAS) as platforms for data capture has rapidly increased in recent years. However, while there has been significant investment in improving the aircraft, sensors, operations, and legislation infrastructure for such, little attention has been paid to supporting the management of the complex data capture pipeline sUAS involve. This paper reports on a four-year, community-based investigation into the tools, data practices, and challenges that currently exist for particularly researchers using sUAS as data capture platforms. The key results of this effort are: (1) sUAS captured data—as a set that is rapidly growing to include data in a wide range of Physical and Environmental Sciences, Engineering Disciplines, and many civil and commercial use cases—is characterized as both sharing many traits with traditional remote sensing data and also as exhibiting—as common across the spectrum of disciplines and use cases—novel characteristics that require novel data support infrastructure; and (2), given this characterization of sUAS data and its potential value in the identified wide variety of use case, we outline eight challenges that need to be addressed in order for the full value of sUAS captured data to be realized. We conclude that there would be significant value gained and costs saved across both commercial and academic sectors if the global sUAS user and data management communities were to address these challenges in the immediate to near future, so as to extract the maximal value of sUAS captured data for the lowest long-term effort and monetary cost.
    • File Description:
      electronic resource
    • ISSN:
      2072-4292
    • Relation:
      https://www.mdpi.com/2072-4292/11/15/1797; https://doaj.org/toc/2072-4292
    • Accession Number:
      10.3390/rs11151797
    • Rights:
      Journal Licence: CC BY
    • Accession Number:
      edsdoj.b5ebb5ec4ef46f3ac2d4e70a2ee6a7e
  • Citations
    • ABNT:
      JANE WYNGAARD et al. Emergent Challenges for Science sUAS Data Management: Fairness through Community Engagement and Best Practices Development. Remote Sensing, [s. l.], n. 15, p. 1797, 2019. Disponível em: . Acesso em: 16 nov. 2019.
    • AMA:
      Jane Wyngaard, Lindsay Barbieri, Andrea Thomer, et al. Emergent Challenges for Science sUAS Data Management: Fairness through Community Engagement and Best Practices Development. Remote Sensing. 2019;(15):1797. doi:10.3390/rs11151797.
    • APA:
      Jane Wyngaard, Lindsay Barbieri, Andrea Thomer, Josip Adams, Don Sullivan, Christopher Crosby, … Tom Bell. (2019). Emergent Challenges for Science sUAS Data Management: Fairness through Community Engagement and Best Practices Development. Remote Sensing, (15), 1797. https://doi.org/10.3390/rs11151797
    • Chicago/Turabian: Author-Date:
      Jane Wyngaard, Lindsay Barbieri, Andrea Thomer, Josip Adams, Don Sullivan, Christopher Crosby, Cynthia Parr, Jens Klump, Sudhir Raj Shrestha, and Tom Bell. 2019. “Emergent Challenges for Science SUAS Data Management: Fairness through Community Engagement and Best Practices Development.” Remote Sensing, no. 15: 1797. doi:10.3390/rs11151797.
    • Harvard:
      Jane Wyngaard et al. (2019) ‘Emergent Challenges for Science sUAS Data Management: Fairness through Community Engagement and Best Practices Development’, Remote Sensing, (15), p. 1797. doi: 10.3390/rs11151797.
    • Harvard: Australian:
      Jane Wyngaard, Lindsay Barbieri, Andrea Thomer, Josip Adams, Don Sullivan, Christopher Crosby, Cynthia Parr, Jens Klump, Sudhir Raj Shrestha & Tom Bell 2019, ‘Emergent Challenges for Science sUAS Data Management: Fairness through Community Engagement and Best Practices Development’, Remote Sensing, no. 15, p. 1797, viewed 16 November 2019, .
    • MLA:
      Jane Wyngaard, et al. “Emergent Challenges for Science SUAS Data Management: Fairness through Community Engagement and Best Practices Development.” Remote Sensing, no. 15, 2019, p. 1797. EBSCOhost, doi:10.3390/rs11151797.
    • Chicago/Turabian: Humanities:
      Jane Wyngaard, Lindsay Barbieri, Andrea Thomer, Josip Adams, Don Sullivan, Christopher Crosby, Cynthia Parr, Jens Klump, Sudhir Raj Shrestha, and Tom Bell. “Emergent Challenges for Science SUAS Data Management: Fairness through Community Engagement and Best Practices Development.” Remote Sensing, no. 15 (2019): 1797. doi:10.3390/rs11151797.
    • Vancouver/ICMJE:
      Jane Wyngaard, Lindsay Barbieri, Andrea Thomer, Josip Adams, Don Sullivan, Christopher Crosby, et al. Emergent Challenges for Science sUAS Data Management: Fairness through Community Engagement and Best Practices Development. Remote Sensing [Internet]. 2019 [cited 2019 Nov 16];(15):1797. Available from: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsdoj&AN=edsdoj.b5ebb5ec4ef46f3ac2d4e70a2ee6a7e&custid=s8280428