Spatially explicit distribution of hedgerows across German agricultural landscapes

This dataset contains a spatially explicit estimation of hedgerows across agricultural areas in Germany at 3 m resolution in cloud optimized geotif format. The dataset has been developed as part of the project KlimaFern, Remote Sensing for Improved Climate reporting. 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. No postprocessing was applied. Details on the calibration and accuracies 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) V3 has been clipped with a more presice vector of Germany. V2 and V1 had some minor inconsistencies along the German border that have been solved in V3. Contacts: Stefan Erasmi: [e-mail] Javier Muro: [e-mail]