The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/20348382

Na Wang; Juha Suomalainen; Harm Bartholomeus; Lammert Kooistra; Dainius Masiliūnas et. al. (2022): Diurnal UAV-based sun-induced chlorophyll fluorescence over potato and sugar beet fields. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/20348382.v1

Dataset

• Physical Geography and Environmental Geoscience

crop traits, diurnal pattern, Sun-induced chlorophyll fluorescence, UAV remote sensing

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- UAV-based SIF were acquired at 9:44, 11:38, 14:15, and 16:28 on 20180802 - UAV Parrot Sequoia + data were acquired at 11:00 on 20180802

CC BY-SA 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Na Wang , Juha Suomalainen , Harm Bartholomeus , Lammert Kooistra , Dainius Masiliūnas , J.G.P.W. (Jan) Clevers

UAV-based sun-induced chlorophyll fluorescence was acquired over potato and sugar beet fields during clear sky conditions on August 2. 2018.  Four flights following a diurnal cycle were carried out at 9:45, 11:38, 14:15, and 16:28.  A Parrot Sequoia + collected multispectral measurements over the two crop fields around 11:00 on the same day.  

• 2022-08-23 first online, published, posted

4TU.ResearchData

csv, shapefile, Geotiff file

Diurnal variation of sun-induced chlorophyll fluorescence of agricultural crops observed from a point-based spectrometer on a UAV

• https://www.sciencedirect.com/science/article/pii/S0303243420309193

• China Scholarship Council (CSC) under Grant 201704910780

Laboratory of Geo-information Science and Remote Sensing, Wageningen University & Research;

Finnish Geospatial Research Institute, National Land Survey of Finnland