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Title of the dataset:
- Data underlying the publication: Diurnal variation of sun-induced chlorophyll fluorescence of agricultural crops observed from a point-based spectrometer on a UAV

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Creators:
- Na Wang*, na1.wang@wur.nl; wangna1516@gmail.com; ORCID: 0000-0002-6514-3147;
- Juha Suomalainen**； ORCID: 0000-0003-2029-8820 ；
- Harm Bartholomeus* ORCID: 0000-0002-1905-7678；
- Lammert Kooistra*； ORCID: 0000-0001-5549-5993；
- Dainius Masiliūnas*； ORCID: 0000-0001-5654-1277
- Jan G.P.W.Clevers*； ORCID: 0000-0002-0046-082X

- * ： Laboratory of Geo-Information Science and Remote Sensing, Wageningen University & Research
- **： Finnish Geospatial Research Institute, National Land Survey of Finland, Finland


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Related publication:
- Wang, N., Suomalainen, J., Bartholomeus, H., Kooistra, L., Masiliūnas, D., Clevers, J. G. (2021). Diurnal variation of sun-induced chlorophyll fluorescence of agricultural crops observed from a point-based spectrometer on a UAV. International Journal of Applied Earth Observation and Geoinformation, 96, 102276.

If any results based on this dataset are published, the publication should cite/reference the studies listed here.

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Description:
- 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 9:44, 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. 

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Keywords:
- UAV remote sensing, sun-induced chlorophyll fluorescence, diurnal pattern, crop traits.

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Spatial coverage:
- The agricultural experimental research fields of Unifarm, Wageningen University & Research (51.987°N, 5.652°E), north to the city of Wageningen, the Netherlands. 
- Potato field:75 x 90m
- sugar beet field:70 x 125m

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

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This dataset contains the following files:
- 0802_NDVI.tif: NDVI TIFF image from the Parrot Sequoia + data over potato and sugar beet fields on 20180802.
- SIF_0802_0944.shp: UAV-based SIF acquired over the potato and sugar beet fields at 09:44 on 20180802
- SIF_0802_1138.shp: UAV-based SIF acquired over the potato and sugar beet fields at 11:38 on 20180802 
- SIF_0802_1415.shp: UAV-based SIF acquired over the potato and sugar beet fields at 14:15 on 20180802 
- SIF_0802_1628.shp: UAV-based SIF acquired over the potato and sugar beet fields at 16:28 on 20180802 

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Explanation of variables:
- NDVI: Normalized Difference Vegetation Index
- SIF: Sun-induced chlorophyll fluorescence

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Methods, materials and software:
- Crop species: potato and sugar beet
- Multi-rotor UAV
- QE-pro (630-800nm, 0.3nm FWHM, 25° FOV), Ocean Insight, USA
- Pix4D used for Sequoia data processing and NDVI calculation, QGIS used to visualize NDVI images and SIF footprints, Matlab used to retrieve UAV SIF from QE-pro spectra.

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This dataset is published under the CC BY (Attribution) license.
This license allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator.