Non-destructive analysis of biomass accumulation in grasslands using UAV

Peter Lootens, Irene Borra Serrano, Tom De Swaef, Hilde Muylle, Koen Mertens, David Nuyttens, Jürgen Vangeyte, E. Willner, Matthew J Hegarty, Barre Philippe, Jean-Paul Sampoux, Isabel Roldán-Ruiz

    Onderzoeksoutput: Bijdrage aan congresPosterpeer review


    Grasslands are important ecosystems in Europe and form the basis of dairy and meat production. Permanent grasslands have, via spontaneous adaptation, adapted to the local geographical and climatological circumstances in which they evolved. However, previous research has shown that present-day grassland populations are not capable of maintaining current levels of biomass yield under unusual weather circumstances, associated with climate change. GrassLandscape, a FACCE-JPI ERA-NET+ project , aims to deliver knowledge about the natural biodiversity of one of the main component species of temperate grasslands, Lolium perenne (perennial ryegrass), to support future grasslands in coping with climate change, including periods of drought and more extreme weather. This knowledge can then be used to increase the resilience of grasslands under changing natural climatological conditions.
    We are presently evaluating agronomic and ecophysiological aspects in more than 500 populations of perennial ryegrass, originating from all over Europe, North Africa and the East in a multilocation field trial. Each population has been sown in small plots (1.8 x 0.8m²) in two replications on three locations with contrasting environments (France, Germany and Belgium). At one of these locations, ILVO (Melle, Belgium), the plots are also being monitored using a UAV equipped with a visual camera several times over the growing season. Based on the images, vegetation indices and height maps are calculated to estimate parameters such as emergence, sod density and biomass accumulation. Correlations between the UAV-derived data and on-ground measurements are determined to check the usefulness of UAV-based phenotyping methods.
    Oorspronkelijke taalEngels
    PublicatiestatusGepubliceerd - 27-mrt-2017
    Evenement3rd meeting COST FA1306 - Oeiras, Portugal
    Duur: 27-mrt-201728-mrt-2017


    Congres3rd meeting COST FA1306

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