Forest tree species distribution for Europe 2000–2020: mapping potential and realized distributions using spatiotemporal Machine Learning C Bonannella, T Hengl, J Heisig, L Parente, MN Wright, M Herold, ... PeerJ, 2022 | 17 | 2022 |
Biomes of the world under climate change scenarios: increasing aridity and higher temperatures lead to significant shifts in natural vegetation C Bonannella, T Hengl, L Parente, S de Bruin PeerJ 11, e15593, 2023 | 8 | 2023 |
Characterization of wildfires and harvesting forest disturbances and recovery using landsat time series: A case study in mediterranean forests in central italy C Bonannella, G Chirici, D Travaglini, M Pecchi, E Vangi, G D’amico, ... Fire 5 (3), 68, 2022 | 5 | 2022 |
Multi-decadal trend analysis and forest disturbance assessment of European tree species: concerning signs of a subtle shift C Bonannella, L Parente, S de Bruin, M Herold Forest Ecology and Management 554, 121652, 2024 | 1 | 2024 |
Assessment of soil organic carbon stocks in Alberta using 2-scale sampling and 3D predictive soil mapping T Hengl, P Sorenson, L Parente, K Cornish, J Battigelli, C Bonannella, ... FACETS 8, 1-17, 2023 | 1 | 2023 |
Quo vadis, smallholder forest landscape? An introduction to the LPB-RAP model S Holler, D Kübler, O Conrad, O Schmitz, C Bonannella, T Hengl, ... Plos one 19 (2), e0297439, 2024 | | 2024 |
Risk factors for tick attachment in companion animals in Great Britain: a spatiotemporal analysis covering 2014–2021 E Arsevska, T Hengl, DA Singleton, PJM Noble, C Caminade, ... Parasites & Vectors 17 (1), 29, 2024 | | 2024 |