Reference : Managing the high variability of compressed sward heights to model grass growth on pa...
Scientific congresses and symposiums : Poster
Life sciences : Multidisciplinary, general & others
http://hdl.handle.net/2268/247826
Managing the high variability of compressed sward heights to model grass growth on pastures using satellite images
English
Nickmilder, Charles mailto [Université de Liège - ULiège > Département GxABT > Modélisation et développement >]
Soyeurt, Hélène mailto [Université de Liège - ULiège > Département GxABT > Modélisation et développement >]
Dufrasne, Isabelle mailto [Université de Liège - ULiège > Dpt. de gestion vétérinaire des Ressources Animales (DRA) > Nutrition des animaux domestiques >]
Tedde, Anthony mailto [Université de Liège - ULiège > Département GxABT > Modélisation et développement >]
Lejeune, Philippe mailto [Université de Liège - ULiège > Département GxABT > Gestion des ressources forestières et des milieux naturels >]
Tychon, Bernard mailto [Université de Liège - ULiège > DER Sc. et gest. de l'environnement (Arlon Campus Environ.) > Eau, Environnement, Développement >]
Lebeau, Frédéric mailto [Université de Liège - ULiège > Département GxABT > Biosystems Dynamics and Exchanges >]
31-Jan-2020
A0
Yes
No
National
25th National Symposium for Applied Biological Sciences (NSABS)
31/01/2020-31/01/2020
Université de Liège
Gembloux
Belgique
[en] Pasture ; Remote sensing ; Platemeter ; ROADSTEP ; Compressed swaard height ; Sentinel ; Distribution
[en] ROADSTEP is a Walloon research program aiming to develop decision tools to help farmers in their daily herd monitoring on pastures. One of the aims is to develop a modelling tool to predict the availability of pasture feeding based on satellite images, meteorological variables and soil characteristics. So, 72,975 compressed sward heights (CSH) have been measured on 30 parcels located in 3 farms using Jenquip EC20G platemeter in 2018 and 2019. CSH records (175 ± 53 mm) seemed to be normally distributed based on the low values of skewness (-1.96) and kurtosis (3.28). However, CSH gathered per parcel and per date showed a trend to unfit a normal distribution and seemed to be dependent on the location of the measurement spot on the parcel. Indeed, the observed kurtosis per parcel and test date were comprised between 0.64 and 27.40. Skewness values ranged from -4.39 to -1.38. These high kurtosis values highlight that CSH records were not normally distributed per parcel. Therefore, the current way to use an average CSH to represent a parcel is not the best choice as this value is not representative. This implies the need to adopt an unbiased approach that enables the comparison of CSH and other variables between dates. The chosen method consists in splitting the parcels in square sub-blocks. Each cell of this grid gathers all the climatic-soil related-satellite-median CSH data and is used as the unitary entity to train the predictive model of the biomass available in the pasture.
ROADSTEP
Researchers ; Professionals ; Students ; General public ; Others
http://hdl.handle.net/2268/247826

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