| Global COVID-19 lockdown highlights humans as both threats and custodians of the environment AE Bates, RB Primack, BS Biggar, TJ Bird, ME Clinton, RJ Command, ... Biological conservation 263, 109175, 2021 | 170 | 2021 |
| EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task. C Requena-Mesa, V Benson, M Reichstein, J Runge, J Denzler Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 61 | 2021 |
| Identifying dynamic memory effects on vegetation state using recurrent neural networks B Kraft, M Jung, M Körner, C Requena Mesa, J Cortés, M Reichstein Frontiers in big Data 2, 31, 2019 | 34 | 2019 |
| Physically-consistent generative adversarial networks for coastal flood visualization B Lütjens, B Leshchinskiy, C Requena-Mesa, F Chishtie, ... arXiv preprint arXiv:2104.04785, 2021 | 23 | 2021 |
| Physics-informed GANs for coastal flood visualization B Lütjens, B Leshchinskiy, C Requena-Mesa, F Chishtie, ... arXiv preprint arXiv:2010.08103, 2020 | 20 | 2020 |
| Deep learning–an opportunity and a challenge for geo-and astrophysics C Reimers, C Requena-Mesa Knowledge discovery in big data from astronomy and earth observation, 251-265, 2020 | 20 | 2020 |
| 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 |
| Predicting landscapes from environmental conditions using generative networks C Requena-Mesa, M Reichstein, M Mahecha, B Kraft, J Denzler German Conference on Pattern Recognition, 203-217, 2019 | 14 | 2019 |
| 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 |
| Predicting landscapes as seen from space from environmental conditions C Requena-Mesa, M Reichstein, M Mahecha, B Kraft, J Denzler IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 11 | 2018 |
| Spatio‐temporal Autoencoders in Weather and Climate Research XA Tibau, C Reimers, C Requena‐Mesa, J Runge Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote …, 2021 | 10 | 2021 |
| Identifying dynamic memory effects on vegetation state using recurrent neural networks, Frontiers in Big Data, 2, 31 B Kraft, M Jung, M Körner, C Requena Mesa, J Cortés, M Reichstein | 10 | 2019 |
| 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 |
| Integration of a Deep‐Learning‐Based Fire Model Into a Global Land Surface Model R Son, T Stacke, V Gayler, JEMS Nabel, R Schnur, L Alonso, ... Journal of Advances in Modeling Earth Systems 16 (1), e2023MS003710, 2024 | 5 | 2024 |
| Supernovae: VAE Based Kernel-PCA For Analysis of Spatio-Temporal Earth Data XA Tibau, C Requena-Mesa, C Reimers, J Denzler, V Eyring, ... Climate Informatics Workshop 2018, 2018 | 4 | 2018 |
| Integration of a deep-learning-based fire model into a global land surface model R Son, T Stacke, V Gayler, JEMS Nabel, R Schnur, LA Silva, CR Mesa, ... Authorea Preprints, 2023 | 2 | 2023 |
| Generative Adversarial Networks in the Geosciences G Mateo‐García, V Laparra, C Requena‐Mesa, L Gómez‐Chova Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote …, 2021 | 2 | 2021 |
| EarthNet2021: A novel large-scale dataset and challenge for forecasting localized climate impacts C Requena-Mesa, V Benson, J Denzler, J Runge, M Reichstein arXiv preprint arXiv:2012.06246, 2020 | 2 | 2020 |
| Generating Physically-Consistent Satellite Imagery for Climate Visualizations B Lütjens, B Leshchinskiy, O Boulais, F Chishtie, N Díaz-Rodríguez, ... IEEE Transactions on Geoscience and Remote Sensing, 2024 | | 2024 |
| 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 |
Markus ReichsteinDepartment of Biogeochemical Integration, Max-Planck-Institute for BiogeochemistryVerified email at bgc-jena.mpg.de