Illinois Data Bank

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

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.

Life Sciences
Unmanned aerial vehicles; High throughput phenotyping; Machine learning; Bioenergy crops
CC BY
U.S. Department of Energy (DOE)-Grant:DE-SC0018420
Sebastian Varela Quintela
713 times
Version DOI Comment Publication Date
1 10.13012/B2IDB-0353090_V1 2021-05-10

234 MB File
6.38 GB File

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