DynACof: A process-based model to study growth, yield and ecosystem services of coffee agroforestry systems. - Rémi Vezy; Guerric le Maire; Mathias Christina; Selena Georgiou; Pablo Imbach; Hugo G. Hidalgo; Eric J. Alfaro; Céline Blitz-Frayret; Fabien Charbonnier; Peter Lehner; Denis Loustau; Olivier Roupsard (Environ. Model. Softw., 2020)

Multimodal deep learning for mapping forest dominant height by fusing GEDI with earth observation data. - Man Chen; Wenquan Dong; Hao Yu; Iain H. Woodhouse; Casey M. Ryan; Haoyu Liu; Selena Georgiou; Edward T. A. Mitchard (CoRR, 2023)

Mapping Water Levels across a Region of the Cuvette Centrale Peatland Complex. - Selena Georgiou; Edward T. A. Mitchard; Bart Crezee; Greta C. Dargie; Dylan M. Young; Antonio J. Jovani-Sancho; Benjamin Kitambo; Fabrice Papa; Yannick E. Bocko; Pierre Bola; Dafydd E. Crabtree; Ovide B. Emba; et al. (Remote. Sens., 2023)

Multimodal deep learning enables forest height mapping from patchy spaceborne LiDAR using SAR and passive optical satellite data. - Man Chen; Wenquan Dong; Hao Yu; Iain H. Woodhouse; Casey M. Ryan; Haoyu Liu; Selena Georgiou; Edward T. A. Mitchard (Int. J. Appl. Earth Obs. Geoinformation, 2025)