This dataset contains a spatially explicit estimation of hedgerows across agricultural areas in Germany in vector format: simplified polygons and simplified lines. The original data corresponds to dataset “Spatially explicit distribution of hedgerows across German agricultural landscapes” https://doi.org/10.5281/zenodo.15654505, also available in Zenodo.

Hedgerows here are defined as linear woody features of 3-20 m wide with agriculture on at least one side, akin to the Land Use/Cover Area Survey (LUCAS) criteria. The hedgerow predictions are based on multitemporal PlanetScope imagery for the year 2022 and a convolutional neural network with a UNet backbone. Details on the calibration and accuracies for the raster predictions can be found in Muro et al., (2025) https://doi.org/10.1016/j.rse.2025.114870.

Known limitations of the product are:

• hedgerows narrower than 3 m in canopy and hedgerows recently coppiced (false negatives) 
• hedgerows close (<~10m) and parallel to other hedgerows or forest patches (false negatives)
• hedgerows slightly above the 20 m width definition may or may not be included 
• dense tree lines without hedgerows underneath (false positives)