Data

INVITA UAV data set

The University of Queensland
Ms Carla Gho Brito (Aggregated by) Professor Scott Chapman (Aggregated by) Professor Scott Chapman (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.48610/7b400d9&rft.title=INVITA UAV data set&rft.identifier=RDM ID: e8f24120-1ed2-11ee-90d2-53354e9046b9&rft.publisher=The University of Queensland&rft.description=The dataset presents an extensive compilation of UAV (Unmanned Aerial Vehicle) flights conducted over a span of three seasons across GRDC National Variety Trial sites across Australia. These flights include both RGB and multispectral imagery, taken from 1-4 times per season, providing valuable information on spectral and geometric characteristics of vegetation at a plot-level. The dataset includes raw imagery, and plot-level vegetation indices derived from this imagery, allowing for assessment of vegetation health and dynamics. The dataset incorporates PROSAIL inversion traits, which provide insights into important vegetation parameters such as leaf area index, chlorophyll content, and leaf angle. The dataset also contains geometric traits, including canopy height and volume, which contribute to an understanding of the 3D structure of the vegetation and its variability across the selected trials. The dataset covers four seasons, spanning from 2020 to 2023, providing a multi-year perspective on the plot-level growth dynamics across the selected sites. This temporal coverage enables researchers to investigate the inter-annual variability and trends in vegetation patterns in multi-environment variety trials.&rft.creator=Ms Carla Gho Brito&rft.creator=Professor Scott Chapman&rft.creator=Professor Scott Chapman&rft.date=2023&rft_rights= http://guides.library.uq.edu.au/deposit_your_data/terms_and_conditions&rft_subject=eng&rft_subject=satelite imagery data&rft_subject=visible band&rft_subject=NIR and red-edge bands&rft_subject=Agricultural production systems simulation&rft_subject=Agriculture, land and farm management&rft_subject=AGRICULTURAL, VETERINARY AND FOOD SCIENCES&rft_subject=Agricultural spatial analysis and modelling&rft_subject=Crop and pasture improvement (incl. selection and breeding)&rft_subject=Crop and pasture production&rft.type=dataset&rft.language=English Access the data
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carla.gho@uq.edu.au
School of Agriculture and Food Sciences

Full description

The dataset presents an extensive compilation of UAV (Unmanned Aerial Vehicle) flights conducted over a span of three seasons across GRDC National Variety Trial sites across Australia. These flights include both RGB and multispectral imagery, taken from 1-4 times per season, providing valuable information on spectral and geometric characteristics of vegetation at a plot-level. The dataset includes raw imagery, and plot-level vegetation indices derived from this imagery, allowing for assessment of vegetation health and dynamics. The dataset incorporates PROSAIL inversion traits, which provide insights into important vegetation parameters such as leaf area index, chlorophyll content, and leaf angle. The dataset also contains geometric traits, including canopy height and volume, which contribute to an understanding of the 3D structure of the vegetation and its variability across the selected trials. The dataset covers four seasons, spanning from 2020 to 2023, providing a multi-year perspective on the plot-level growth dynamics across the selected sites. This temporal coverage enables researchers to investigate the inter-annual variability and trends in vegetation patterns in multi-environment variety trials.

Issued: 2023

Data time period: 2020 to 2023

Data time period: Data collected from: 2020-01-01T00:00:00Z
Data collected to: 2023-01-01T00:00:00Z

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Subjects
Agricultural, Veterinary and Food Sciences | Agricultural Production Systems Simulation | Agricultural Spatial Analysis and Modelling | Agriculture, Land and Farm Management | Crop and Pasture Improvement (Incl. Selection and Breeding) | Crop and Pasture Production | NIR and red-edge bands | eng | satelite imagery data | visible band |

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Research Data Collections

local : UQ:289097

GRDC Data Collections

local : UQ:06510ce

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