CryoSat-2 waveform classification for melt event monitoring. - Martijn Vermeer; David Völgyes; Malcolm McMillan; Daniele Fantin (NLDL, 2022)

Semi- and weak-supervised learning for Norwegian tree species detection. - Martijn Vermeer; David Völgyes; Tord Kriznik Sørensen; Heidrun Miller; Daniele Fantin (NLDL, 2023)

Solutions for the commercialization challenges of Horizon Europe and earth observation consortia: co-creation, innovation, decision-making, tech-transfer, and sustainability actions. - Luis Filipe Lages; Nuno Catarino; Emanuel Gomes; Péter Tóh; Carlos Reis-Marques; Mario Mohr; Sebastian Max Borde; Omid Asgari; Ronnie Figueiredo; Nuno Grosso; David Perez; Ana Ponte; et al. (Electron. Commer. Res., 2023)

Lidar-based Norwegian tree species detection using deep learning. - Martijn Vermeer; Jacob Alexander Hay; David Völgyes; Zsófia Koma; Johannes Breidenbach; Daniele Fantin (NLDL, 2024)

Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction From LiDAR Data With Limited Annotations. - Anuja Vats; David Völgyes; Martijn Vermeer; Marius Pedersen; Kiran B. Raja; Daniele S. M. Fantin; Jacob Alexander Hay (IEEE Trans. Geosci. Remote. Sens., 2024)