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Analysis of Unmanned Aerial System (UAS) Sensor Data for Natural Resource Applications: A Review

Author

Listed:
  • Benjamin T. Fraser

    (Department of Natural Resources and the Environment, University of New Hampshire, 56 College Road, Durham, NH 03824, USA)

  • Christine L. Bunyon

    (Department of Natural Resources and the Environment, University of New Hampshire, 56 College Road, Durham, NH 03824, USA)

  • Sarah Reny

    (Department of Natural Resources and the Environment, University of New Hampshire, 56 College Road, Durham, NH 03824, USA)

  • Isabelle Sophia Lopez

    (Department of Natural Resources and the Environment, University of New Hampshire, 56 College Road, Durham, NH 03824, USA)

  • Russell G. Congalton

    (Department of Natural Resources and the Environment, University of New Hampshire, 56 College Road, Durham, NH 03824, USA)

Abstract

Unmanned Aerial Systems (UAS, UAV, or drones) have become an effective tool for applications in natural resources since the start of the 21st century. With their associated hardware and software technologies, UAS sensor data have provided high resolution and high accuracy results in a range of disciplines. Despite these achievements, only minimal progress has been made in (1) establishing standard operating practices and (2) communicating both the limitations and necessary next steps for future research. In this review of literature published between 2016 and 2022, UAS applications in forestry, freshwater ecosystems, grasslands and shrublands, and agriculture were synthesized to discuss the status and trends in UAS sensor data collection and processing. Two distinct conclusions were summarized from the over 120 UAS applications reviewed for this research. First, while each discipline exhibited similarities among their data collection and processing methods, best practices were not referenced in most instances. Second, there is still a considerable variability in the UAS sensor data methods described in UAS applications in natural resources, with fewer than half of the publications including an incomplete level of detail to replicate the study. If UAS are to increasingly provide data for important or complex challenges, they must be effectively utilized.

Suggested Citation

  • Benjamin T. Fraser & Christine L. Bunyon & Sarah Reny & Isabelle Sophia Lopez & Russell G. Congalton, 2022. "Analysis of Unmanned Aerial System (UAS) Sensor Data for Natural Resource Applications: A Review," Geographies, MDPI, vol. 2(2), pages 1-38, June.
    • Handle: RePEc:gam:jgeogr:v:2:y:2022:i:2:p:21-340:d:834145
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    References listed on IDEAS

    as
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