Vision Transformers, a new approach for high-resolution and large-scale mapping of canopy heights. - Ibrahim Fayad; Philippe Ciais; Martin Schwartz; Jean-Pierre Wigneron; Nicolas N. Baghdadi; Aurélien de Truchis; Alexandre d'Aspremont; Frédéric Frappart; Sassan Saatchi; Agnès Pellissier-Tanon; Hassan Bazzi (CoRR, 2023)

FORMS: Forest Multiple Source height, wood volume, and biomass maps in France at 10 to 30 m resolution based on Sentinel-1, Sentinel-2, and GEDI data with a deep learning approach. - Martin Schwartz; Philippe Ciais; Aurélien de Truchis; Chave J.; Catherine Ottlé; Cédric Véga; Jean-Pierre Wigneron; M. Nicolas; Sami Jouaber; S. Liu; Martin Brandt; Ibrahim Fayad (Zenodo, 2023)

High-resolution canopy height map in the Landes forest (France) based on GEDI, Sentinel-1, and Sentinel-2 data with a deep learning approach. - Martin Schwartz; Philippe Ciais; Catherine Ottlé; Aurélien de Truchis; Cédric Véga; Ibrahim Fayad; Martin Brandt; Rasmus Fensholt; Nicolas N. Baghdadi; François Morneau; David Morin; Dominique Guyon; et al. (Int. J. Appl. Earth Obs. Geoinformation, 2024)

DUNIA: Pixel-Sized Embeddings via Cross-Modal Alignment for Earth Observation Applications. - Ibrahim Fayad; Max Zimmer; Martin Schwartz; Philippe Ciais; Fabian Gieseke; Gabriel Belouze; Sarah Brood; Aurélien de Truchis; Alexandre d'Aspremont (CoRR, 2025)