UAV-based multispectral time-series imagery of biomass sorghum - 2019

Dataset

Description

UAV-based high-resolution multispectral time-series orthophotos utilized to understand the relation between growth dynamics, imagery temporal resolution, and end-of-season biomass productivity of biomass sorghum as bioenergy crop. Sensor utilized is a RedEdge Micasense flown at 40 meters above ground level at the Energy Farm- UIUC in 2019.
Date made availableMay 10 2021
PublisherUniversity of Illinois at Urbana-Champaign

Keywords

  • High throughput phenotyping
  • Bioenergy crops
  • Machine learning
  • Unmanned aerial vehicles

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