Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 523292
Title Data from: Remote sensing of plant trait responses to field-based plant–soil feedback using UAV-based optical sensors
Author(s) Meij, Bob Van Der; Kooistra, L.; Suomalainen, J.M.; Barel, J.M.; Deyn, G.B. de
DOI http://dx.doi.org/10.5061/dryad.75k1d
Department(s) Laboratory of Geo-information Science and Remote Sensing
PE&RC
Alterra - Earth informatics
Chair Soil Biology and Biological Soil Quality
Publication type Dataset
Publication year 2017
Keyword(s) plant-soil feedback - soil legacy - treatment discrimination - high-resolution hyperspectral imagery - UAV remote sensing - plant height - biomass - nitrogen - leaf chlorophyll
Toponym Wageningen, The Netherlands
Abstract The experimental set-up, treatments, data collection and data analyses are thoroughly described in the Biogeoscience manuscript ‘Remote sensing of plant trait responses to field-based plant-soil feedback using UAV-based optical sensors’ doi:10.5194/bg-2016-452. Therefore we refer to the manuscript for detailed information an here we provide a brief summary to enable readers to follow what the data entail. The data were collected from a 2-year field experiment with plant rotations in a full factorial design. The plant treatments we focused on are legacy effects of the plant treatments (listed below) to the following oat crop. In this oat crop we quantified several plant traits both in situ and via remote sensing by use of UAV and hyperspectral and EGB sensors. The experiment was set-up in five randomized field blocks. We used part of the in situ collected data to parameterize the hyperspectral data based models and we validated these models with the other half of the field plots. Plant treatments Fa= fallow Lp= Lolium perenne Rs= Raphanus sativus Tr= Trifolium repens Vs= Vicia sativa Lp+Tr= 50:50 species mixture (relative to the monoculture seed densities) of the species Lp and Tr Rs+Vs= 50:50 species mixture (relative to the monoculture seed densities) of the species Rs and Vs
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