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: 10.4121/19188872

Lammert Kooistra; Marston H D Franceschini; Rolf Becker; Florian Wichern; J.M. (Juha) Suomalainen et. al. (2022): Haus Riswick grassland experiment with N fertilization and plant growth monitoring based on Unmanned Aerial Vehicle (UAV) hyperspectral imagery - campaigns of 2014 and 2017. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/19188872.v1

Dataset

• Agriculture, Land and Farm Management
• Geomatic Engineering

aboveground biomass, grassland monitoring, hyperspectral data, imaging spectroscopy data, nitrogen content, nitrogen uptake, pushbroom sensor, UAV

2014-05-15, 2014-10-14, 2017-05-09, 2017-08-29 and 2017-10-26

CC BY-SA 4.0

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

by Lammert Kooistra , Marston H D Franceschini , Rolf Becker , Florian Wichern , J.M. (Juha) Suomalainen , Harm Bartholomeus , Capolupo, Alessandra

Grassland (Lolium perenne) dry aboveground biomass, nitrogen content (N%) and N uptake (t ha-1) measured in experimental plots located near the city of Kleve, in Germany. These measurements correspond to five harvest dates, two in 2014 and three in 2017. In addition, UAV flights were performed on the same dates in the experimental site to acquire hyperspectral images, using the WageningenUR Hyperspectral Mapping System (HYMSY), a pushbroom imaging sensor comprising a spectrometer and a photogrammetric camera.

• 2022-02-25 first online, published, posted

4TU.ResearchData

media types: data/zip, text/plain

Estimating plant traits of grasslands from UAV-acquired hyperspectral images: a comparison of statistical approaches.

• https://github.com/mhdf/Uncertainty-based_Model_Transfer

• Interreg project Smart Inspectors (Project number: I-1-03=176)
• INTERREG Deutschland-Nederland SPECTORS project (143081)

Wageningen University and Research, Laboratory of Geo-Information Science and Remote Sensing
Rhine-Waal University of Applied Sciences, Kleve, Germany
Versuchs- und Bildungszentrum Landwirtschaft Haus Riswick, Kleve, Germany
University of Naples Federico II, Department of Agricultural Sciences, Naples, Italy