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R/UAStools::plotshpcreate: Create Multi-Polygon Shapefiles for Extraction of Research Plot Scale Agriculture Remote

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Summary
This summary is machine-generated.

Researchers can now easily create accurate digital maps of agricultural research plots using the open-source R function, plotshpcreate. This tool addresses data processing bottlenecks in remote sensing for small plot studies.

Keywords:
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Area of Science:

  • Agricultural Science
  • Remote Sensing
  • Geospatial Analysis

Background:

  • Agricultural researchers increasingly use remote sensing for crop phenotyping and monitoring.
  • Collecting large datasets from small plot studies using Unoccupied Aerial Systems (UAS) and other technologies is common.
  • Data processing and analysis lag behind data collection due to a lack of specialized, user-friendly software for small plot remote sensing.

Purpose of the Study:

  • To develop an open-source software tool to streamline the creation of geospatial data for small agricultural research plots.
  • To address the bottleneck in processing and analyzing remote sensing data from small plot experiments.

Main Methods:

  • Developed an R function, plotshpcreate (R/UAS::plotshpcreate), to generate ESRI polygon shapefiles.
  • The function utilizes experimental design, field orientation, and plot dimensions as inputs.
  • Output shapefiles are geolocated to ensure accurate overlay with field data.

Main Results:

  • The plotshpcreate function rapidly generates multi-polygon shapefiles for entire small plot experiments.
  • Generated shapefiles accurately represent individual plot areas and associate plot-specific information.
  • The output enables precise overlay in GIS software, facilitating plot-level data extraction.

Conclusions:

  • Plotshpcreate provides a user-friendly solution for researchers, particularly those new to remote sensing.
  • The tool enhances the efficiency of processing and analyzing remote sensing data from small plot agricultural research.
  • Availability on GitHub promotes wider adoption and contribution to remote sensing in agriculture.