UAV-based multispectral time-series imagery of biomass sorghum - 2019
Cite this dataset:
Varela Quintela, Sebastian; Leakey, Andrew (2021): UAV-based multispectral time-series imagery of biomass sorghum - 2019. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-0353090_V1
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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.
Subject Life Sciences
Keywords Unmanned aerial vehicles; High throughput phenotyping; Machine learning; Bioenergy crops
License CC BY
Funder U.S. Department of Energy (DOE)-Grant:DE-SC0018420
Corresponding Creator Sebastian Varela Quintela
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Version DOI Comment Publication Date
1 10.13012/B2IDB-0353090_V1 2021-05-10
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update: {"nested_updated_at"=>[nil, Mon, 11 Oct 2021 15:10:21.006995000 UTC +00:00]} 2024-01-03T18:23:49Z
update: {"subject"=>["", "Life Sciences"]} 2021-05-11T00:51:59Z