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Ground-level Unmanned Aerial System Imagery Coupled with Spatially Balanced Sampling and Route Optimization to

Michael F Curran1, Paddington Hodza2, Samuel E Cox3

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Journal of Visualized Experiments : Jove
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Balanced acceptance sampling (BAS) with ground-level and unmanned aerial system (UAS) imagery offers efficient vegetation monitoring for rangelands. This method improves accuracy and reduces costs compared to traditional techniques.

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Area of Science:

  • Ecology
  • Remote Sensing
  • Environmental Monitoring

Background:

  • Rangelands cover vast global areas and are crucial for ecosystem services.
  • Traditional rangeland monitoring is labor-intensive, costly, and prone to bias.
  • Effective vegetation monitoring is vital for assessing rangeland health and environmental changes.

Purpose of the Study:

  • To present a protocol for spatially balanced vegetation monitoring in rangelands.
  • To integrate balanced acceptance sampling (BAS) with ground-level and unmanned aerial system (UAS) imagery.
  • To enhance the efficiency and accuracy of rangeland vegetation assessment.

Main Methods:

  • Implementation of a balanced acceptance sampling (BAS) protocol.
  • Acquisition of vegetation imagery using ground-level cameras and unmanned aerial systems (UAS).
  • Application of a route optimization algorithm to solve the 'travelling salesperson problem' (TSP) for efficiency.

Main Results:

  • Both ground-level and UAS imagery provide comparable accuracy and precision for vegetation monitoring.
  • UAS image acquisition is 2-3 times faster than handheld image acquisition.
  • The integrated BAS protocol with optimized routing enhances time and cost efficiency.

Conclusions:

  • Image-based vegetation monitoring using BAS offers a superior alternative to traditional methods.
  • The protocol is adaptable for monitoring other ecosystems, providing valuable spatial and temporal data.
  • This approach supports informed rangeland management and conservation efforts.