Articles | Volume 15, issue 1
https://doi.org/10.5194/essd-15-317-2023
https://doi.org/10.5194/essd-15-317-2023
Data description paper
 | 
18 Jan 2023
Data description paper |  | 18 Jan 2023

AI4Boundaries: an open AI-ready dataset to map field boundaries with Sentinel-2 and aerial photography

Raphaël d'Andrimont, Martin Claverie, Pieter Kempeneers, Davide Muraro, Momchil Yordanov, Devis Peressutti, Matej Batič, and François Waldner

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Cited articles

Alemohammad, H.: Radiant ML Hub [data set], https://www.radiant.earth/mlhub/ (last access: 11 January 2023), 2019. a
Aung, H. L., Uzkent, B., Burke, M., Lobell, D., and Ermon, S.: Farm parcel delineation using spatio-temporal convolutional networks, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 76–77, 2020. a
Brems, E., Lissens, G., and Veroustraete, F.: MC-FUME: A new method for compositing individual reflective channels, IEEE T. Geosci. Remote, 38, 553–569, https://doi.org/10.1109/36.823950, 2000. a
Chen, J., Jönsson, P., Tamura, M., Gu, Z., Matsushita, B., and Eklundh, L.: A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky–Golay filter, Remote Sens. Environ., 91, 332–344, https://doi.org/10.1016/j.rse.2004.03.014, 2004. a
d'Andrimont, R., Claverie, M., Kempeneers, P., Muraro, D., Martinez Sanchez, L., and Waldner, F.: AI4boundaries, http://data.europa.eu/89h/0e79ce5d-e4c8-4721-8773-59a4acf2c9c9 [data set], 2022. a
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AI4boundaries is an open AI-ready data set to map field boundaries with Sentinel-2 and aerial photography provided with harmonised labels covering seven countries and 2.5 M parcels in Europe.
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