Spatially explicit distribution of hedgerows across German agricultural landscapes: simplified polygons and lines
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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. 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. 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) Users can request the data before the embargo date. Just press "Request access" below. Contacts: Stefan Erasmi: stefan.erasmi@thuenen.de Javier Muro: javier.muro@ie.edu
