Grass biomass assessment in Wallonia (Belgium) based on satellite imagery and a grass growth model.
(2024) Grassland Science in Europe — Location: Leeuwarden, the Netherlands (9.June.2024)
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- Abstract
- In Wallonia (Belgium), grasslands cover 367 200 ha and represent the dominant land cover class (47% of utilized agricultural area). Grassland yields are fluctuating according to different factors such as the pedoclimatic region, the floristic composition, the intensification level as well as management, especially in the context of climatic change. A multi-approach concept based on a large reference field data set, satellite imagery and a grass growth model (GGM) is being developed in the frame of the SUNSHINE project. The objective is to co-construct a Decision Support Tool (DST) adapted to breeders’ needs. Intensive field campaigns in grassland parcels have been conducted in 2022 to calibrate/validate the GGM and information extracted from satellite images. Satellite remote sensing (RS) offers opportunities for large-scale monitoring and quantification of grass production across and within fields. This study aims to assess the potential of Sentinel 2 (S2) images to monitor grassland growth. Grass height in situ observations were related to Leaf Area Index (LAI) derived from ten S2 images acquired between May and October. Coupling the GGM with RS data allows estimation and prediction of grass growth with an RMSE between 367 and 482 kg dry matter ha–1 on a daily step, fitting this to breeders needs
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Citations
LUCAU-DANILAC, Curnely, Mertens, A., Decruyenaere, V., & Lambert, R. (2024). Grass biomass assessment in Wallonia (Belgium) based on satellite imagery and a grass growth model. Grassland science in Europe, p. 678-680. https://hdl.handle.net/2078.5/240298