Spatially explicit distribution of hedgerows across German agricultural landscapes
2025
Muro Martín, Javier | Blickensdörfer, Lukas | Köber, Anna | Schwieder, Marcel | Don, Axel | Erasmi, Stefan
This dataset contains a spatially explicit estimation of hedgerows across agricultural areas in Germany at 3 m resolution in 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)
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出版者 Elsevier BV
