Learning UAV-Based Above-Ground Biomass Regression Models in Sparse Training Data EnvironmentsKröber, F., Garcia, G. F., Guiotte, F., Delerue, F., Corpetti, T., & Lefèvre, S. (2023)IGARSS 2023 – 2023 IEEE International Geoscience and Remote Sensing Symposium, 3322–3325. conference proceedings


Agricultural parcel delineation based on multitemporal Sentinel-2 data – Machine and deep learning approaches for instance segmentationKröber, F. (2023) Master’s Thesis, Paris-Lodron University Salzburg & University Bretagne Sud theses


Variability of radar backscatter on the field scale – An analysis based on multitemporal Sentinel-1 data Kröber, F. (2021) Bachelor’s Thesis, University of Cologne theses