A novel UAV-based approach for biomass prediction and grassland structure assessment in coastal meadows

Coastal meadows provide a wide range of ecosystem services worldwide. In order to better target conservation efforts in these ecosystems, it is necessary develop highly accurate models that account for the spatial nature structure, processes and functions. this study, above-ground biomass was predicted at very high resolution nine study sites Estonia. A combination UAV-derived datasets were used produce vegetation indices micro topographic models. random forest algorithm generate maps assess contribution each predictor variable. The model successfully accuracies. Additionally, grassland structural heterogeneity assessed using indices. results subsequently related management history site, showing continuous, monospecific grazing tends simplify which could turn reduce supply key regulation maintenance services: nursery reproduction habitat waders. These also indicate UAV-based surveys can serve as reliable monitoring tools aid development site-specific strategies.