| Learning to forecast vegetation greenness at fine resolution over Africa with ConvLSTMs C Robin, C Requena-Mesa, V Benson, L Alonso, J Poehls, N Carvalhais, ... arXiv preprint arXiv:2210.13648, 2022 | 15 | 2022 |
| Multi-modal learning for geospatial vegetation forecasting V Benson, C Robin, C Requena-Mesa, L Alonso, N Carvalhais, J Cortés, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 12 | 2024 |
| Forecasting localized weather impacts on vegetation as seen from space with meteo-guided video prediction V Benson, C Requena Mesa, C Robin, L Alonso, J Cortés, Z Gao, ... | 9 | 2023 |
| DeepExtremeCubes: Integrating Earth system spatio-temporal data for impact assessment of climate extremes C Ji, T Fincke, V Benson, G Camps-Valls, MA Fernandez-Torres, F Gans, ... arXiv preprint arXiv:2406.18179, 2024 | 3 | 2024 |
| AI for Extreme Event Modeling and Understanding: Methodologies and Challenges G Camps-Valls, MÁ Fernández-Torres, KH Cohrs, A Höhl, A Castelletti, ... arXiv preprint arXiv:2406.20080, 2024 | | 2024 |
| Climate Extremes and Systemic Risks for Sustainable Development Pathways–Artificial Intelligence for Risk Mitigation? M Reichstein, V Benson, N Carvalhais, D Frank, C Robin EGU24, 2024 | | 2024 |
| Analyzing Spatio-Temporal Machine Learning Models through Input Perturbation C Robin, V Benson, C Requena-Mesa, L Alonso, J Poehls, M Russwurm, ... EGU24, 2024 | | 2024 |
| SPATIALLY FAR, ECOLOGICALLY CLOSE: EVALUAT-ING EXTRAPOLATION ON VEGETATION FORECASTING MODELS C Robin, M Weynants, V Benson, N Carvalhais, M Rußwurm, ... 2nd ML4RS Workshop, 2024 | | 2024 |
| Modeling vegetation response to climate in Africa at fine resolution: EarthNet2023, a deep learning dataset and challenge. C Robin, C Requena-Mesa, V Benson, L Alonso, J Poehls, N Carvalhais, ... EGU General Assembly Conference Abstracts, EGU-9123, 2023 | | 2023 |
| Modeling landscape-scale vegetation response to climate: Synthesis of the EarthNet challenge V Benson, C Requena-Mesa, C Robin, L Alonso, N Carvalhais, ... EGU General Assembly Conference Abstracts, EGU-9337, 2023 | | 2023 |
| Supplementary Material: Multi-modal learning for geospatial vegetation forecasting V Benson, C Robin, C Requena-Mesa, L Alonso, N Carvalhais, J Cortés, ... | | |
Markus ReichsteinDepartment of Biogeochemical Integration, Max-Planck-Institute for BiogeochemistryBestätigte E-Mail-Adresse bei bgc-jena.mpg.de