Crop Residue Fraction - Villa Grove

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Description:

Crop Residue Fraction with images for Villa Grove site

Metadata

Name Value Last Modified
Creator
  • Creator: Sheng Wang
  • Creator's Email: sheng12@illinois.edu
  • Other Researchers with Dataset Knowledge (with email): Kaiyu Guan (kaiyug@illinois.edu)
  • Dataset Time Span: 2020-04-28
  • File Format: Comma-separated values (.csv)
  • Variables:
    • Photo name
    • Latitude
    • Longitude
    • Crop residue fraction
  • Temporal Resolution: annual
  • Spatial Resolution: Subfield level
  • Creation Information:
    • Include information about how the dataset was created (such as what was being studied to produce the data), any specific instruments used, descriptions of scripts/code used to calculate/create the data files. Describe the process that would be needed to update or reproduce the dataset. If already documented elsewhere, can be a citation or a link to another document. We collected ground photos in the fields and used computer-vision segementation methods to distinguish crop residue and soil background. Then, we quantified the crop residue fraction for each photo.
Added by Vismayak Mohanarajan on Jun 8, 2023
  • Creator: Sheng Wang
  • Creator's Email: sheng12@illinois.edu
  • Other Researchers with Dataset Knowledge (with email): Kaiyu Guan (kaiyug@illinois.edu)
  • Dataset Time Span: 2020-04-28
  • File Format: Comma-separated values (.csv)
  • Variables:
    • Photo name
    • Latitude
    • Longitude
    • Crop residue fraction
  • Temporal Resolution: annual
  • Spatial Resolution: Subfield level
  • Creation Information:
    • Include information about how the dataset was created (such as what was being studied to produce the data), any specific instruments used, descriptions of scripts/code used to calculate/create the data files. Describe the process that would be needed to update or reproduce the dataset. If already documented elsewhere, can be a citation or a link to another document. We collected ground photos in the fields and used computer-vision segementation methods to distinguish crop residue and soil background. Then, we quantified the crop residue fraction for each photo.

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