Predicting Landscapes as Seen from Space from Environmental Conditions. - Christian Requena-Mesa; Markus Reichstein; Miguel D. Mahecha; Basil Kraft; Joachim Denzler (IGARSS, 2018)

Predicting Landscapes from Environmental Conditions Using Generative Networks. - Christian Requena-Mesa; Markus Reichstein; Miguel D. Mahecha; Basil Kraft; Joachim Denzler (GCPR, 2019)

Identifying Dynamic Memory Effects on Vegetation State Using Recurrent Neural Networks. - Basil Kraft; Martin Jung 002; Marco Körner 001; Christian Requena-Mesa; José Cortés; Markus Reichstein (Frontiers Big Data, 2019)

Physics-informed GANs for Coastal Flood Visualization. - Björn Lütjens; Brandon Leshchinskiy; Christian Requena-Mesa; Farrukh Chishtie; Natalia Díaz Rodríguez; Océane Boulais; Aaron Piña; Dava J. Newman; Alexander Lavin; Yarin Gal; Chedy Raïssi (CoRR, 2020)

EarthNet2021: A novel large-scale dataset and challenge for forecasting localized climate impacts. - Christian Requena-Mesa; Vitus Benson; Joachim Denzler; Jakob Runge; Markus Reichstein (CoRR, 2020)

EarthNet2021: A Large-Scale Dataset and Challenge for Earth Surface Forecasting as a Guided Video Prediction Task. - Christian Requena-Mesa; Vitus Benson; Markus Reichstein; Jakob Runge; Joachim Denzler (CVPR Workshops, 2021)

Physically-Consistent Generative Adversarial Networks for Coastal Flood Visualization. - Björn Lütjens; Brandon Leshchinskiy; Christian Requena-Mesa; Farrukh Chishtie; Natalia Díaz Rodríguez; Océane Boulais; Aruna Sankaranarayanan; Aaron Piña; Yarin Gal; Chedy Raïssi; Alexander Lavin; Dava J. Newman (CoRR, 2021)

Learning to forecast vegetation greenness at fine resolution over Africa with ConvLSTMs. - Claire Robin; Christian Requena-Mesa; Vitus Benson; Lázaro Alonso; Jeran Poehls; Nuno Carvalhais; Markus Reichstein (CoRR, 2022)

Forecasting localized weather impacts on vegetation as seen from space with meteo-guided video prediction. - Vitus Benson; Christian Requena-Mesa; Claire Robin; Lázaro Alonso; José Cortés; Zhihan Gao 001; Nora Linscheid; Mélanie Weynants; Markus Reichstein (CoRR, 2023)

Multi-Modal Learning for Geospatial Vegetation Forecasting. - Vitus Benson; Claire Robin; Christian Requena-Mesa; Lázaro Alonso; Nuno Carvalhais; José Cortés; Zhihan Gao 001; Nora Linscheid; Mélanie Weynants; Markus Reichstein (CVPR, 2024)

Generating Physically-Consistent Satellite Imagery for Climate Visualizations. - Björn Lütjens; Brandon Leshchinskiy; Océane Boulais; Farrukh Chishtie; Natalia Díaz Rodríguez; Margaux Masson-Forsythe; Ana Mata-Payerro; Christian Requena-Mesa; Aruna Sankaranarayanan; Aaron Piña; Yarin Gal; Chedy Raïssi; et al. (IEEE Trans. Geosci. Remote. Sens., 2024)