Spatial application of Random Forest models for fine-scale coastal vegetation classification using object based analysis of aerial orthophoto and DEM data. - Anders Juel; Geoffrey Brian Groom; Jens-Christian Svenning; Rasmus Ejrnæs (Int. J. Appl. Earth Obs. Geoinformation, 2015)

Computing River Floods Using Massive Terrain Data. - Cici Alexander; Lars Arge; Peder Klith Bøcher; Morten Revsbæk; Brody Sandel; Jens-Christian Svenning; Constantinos Tsirogiannis; Jungwoo Yang (GIScience, 2016)

Image data used for publication "Species-level image classification with convolutional neural network enable insect identification from habitus images ". - Oskar Liset Pryds Hansen; Jens-Christian Svenning; Kent Olsen; Steen Dupont; Beulhah H. Garner; Alexandros Iosifidis; Benjamin W. Price; Toke Thomas Høye (Zenodo, 2019)

Mapping spatio-temporal patterns in global tree cover heterogeneity: Links with forest degradation and recovery. - Wang Li 001; Wenyong Guo; Yuchu Qin; Li Wang 055; Zheng Niu; Jens-Christian Svenning (Int. J. Appl. Earth Obs. Geoinformation, 2021)

EUNIS Habitat Maps: Enhancing Thematic and Spatial Resolution for Europe through Machine Learning. - Sara Si-Moussi; Stephan Hennekens; Sander Mücher; Wanda De Keersmaecker; Milan Chytrý; Emiliano Agrillo; Fabio Attorre; Idoia Biurrun; Gianmaria Bonari; Andraz Carni; Renata Custerevska; Tetiana Dziuba; et al. (CoRR, 2025)

Deep learning-based species-area models reveal multi-scale patterns of species richness and turnover. - Victor Boussange; Philipp Brun; Johanna T. Malle; Gabriele Midolo; Jeanne Portier; Théophile Sanchez; Niklaus E. Zimmermann; Irena Axmanová; Helge Bruelheide; Milan Chytrý; Stephan Kambach; Zdenka Lososová; et al. (CoRR, 2025)