Illinois Data Bank - Dataset

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
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
Downloaded 295 times
Version DOI Comment Publication Date
1 10.13012/B2IDB-0353090_V1 2021-05-10

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RelatedMaterial update: {"citation"=>["Varela, S., Pederson, T., Bernacchi, C.J., Leakey, A.D.B. \"Understanding Growth Dynamics and Yield Prediction of Sorghum Using High Temporal Resolution UAV Imagery Time Series and Machine Learning.\" Remote Sensing. 2021, 13, 1763. https://doi.org/10.3390/rs13091763", "Varela, S., Pederson, T., Bernacchi, C.J., Leakey, A.D.B. May 1, 2021. “Understanding Growth Dynamics and Yield Prediction of Sorghum Using High Temporal Resolution UAV Imagery Time Series and Machine Learning.” Remote Sensing. DOI: 10.3390/rs13091763."]} 2024-08-23T16:56:09Z
RelatedMaterial update: {"uri"=>[nil, ""], "uri_type"=>[nil, ""], "datacite_list"=>[nil, ""]} 2021-05-11T00:51:59Z
Dataset update: {"subject"=>["", "Life Sciences"]} 2021-05-11T00:51:59Z
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