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ORCIDChristian Requena-Mesa
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Journal Articles
- 2024
[j2]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, Alexander Lavin, Dava Newman:
Generating Physically-Consistent Satellite Imagery for Climate Visualizations. IEEE Trans. Geosci. Remote. Sens. 62: 1-11 (2024)- 2019
- [j1]Basil Kraft, Martin Jung, Marco Körner, Christian Requena-Mesa, José Cortés, Markus Reichstein:
Identifying Dynamic Memory Effects on Vegetation State Using Recurrent Neural Networks. Frontiers Big Data 2: 31 (2019)
Conference and Workshop Papers
- 2024
- [c4]Vitus Benson, Claire Robin, Christian Requena-Mesa, Lázaro Alonso, Nuno Carvalhais, José Cortés, Zhihan Gao, Nora Linscheid, Mélanie Weynants, Markus Reichstein:
Multi-Modal Learning for Geospatial Vegetation Forecasting. CVPR 2024: 27788-27799 - 2021
- [c3]Christian Requena-Mesa, Vitus Benson, Markus Reichstein, Jakob Runge, Joachim Denzler:
EarthNet2021: A Large-Scale Dataset and Challenge for Earth Surface Forecasting as a Guided Video Prediction Task. CVPR Workshops 2021: 1132-1142 - 2019
- [c2]Christian Requena-Mesa, Markus Reichstein, Miguel D. Mahecha, Basil Kraft, Joachim Denzler:
Predicting Landscapes from Environmental Conditions Using Generative Networks. GCPR 2019: 203-217 - 2018
- [c1]Christian Requena-Mesa, Markus Reichstein, Miguel D. Mahecha, Basil Kraft, Joachim Denzler:
Predicting Landscapes as Seen from Space from Environmental Conditions. IGARSS 2018: 1768-1771
Informal and Other Publications
- 2023
- [i7]Vitus Benson, Christian Requena-Mesa, Claire Robin, Lázaro Alonso, José Cortés, Zhihan Gao, Nora Linscheid, Mélanie Weynants, Markus Reichstein:
Forecasting localized weather impacts on vegetation as seen from space with meteo-guided video prediction. CoRR abs/2303.16198 (2023) - 2022
- [i6]Claire Robin, Christian Requena-Mesa, Vitus Benson, Lázaro Alonso, Jeran Poehls, Nuno Carvalhais, Markus Reichstein:
Learning to forecast vegetation greenness at fine resolution over Africa with ConvLSTMs. CoRR abs/2210.13648 (2022) - 2021
- [i5]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 Newman:
Physically-Consistent Generative Adversarial Networks for Coastal Flood Visualization. CoRR abs/2104.04785 (2021) - [i4]Christian Requena-Mesa, Vitus Benson, Markus Reichstein, Jakob Runge, Joachim Denzler:
EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task. CoRR abs/2104.10066 (2021) - 2020
- [i3]Björn Lütjens, Brandon Leshchinskiy, Christian Requena-Mesa, Farrukh Chishtie, Natalia Díaz Rodríguez, Océane Boulais, Aaron Piña, Dava Newman, Alexander Lavin, Yarin Gal, Chedy Raïssi:
Physics-informed GANs for Coastal Flood Visualization. CoRR abs/2010.08103 (2020) - [i2]Christian Requena-Mesa, Vitus Benson, Joachim Denzler, Jakob Runge, Markus Reichstein:
EarthNet2021: A novel large-scale dataset and challenge for forecasting localized climate impacts. CoRR abs/2012.06246 (2020) - 2019
- [i1]Christian Requena-Mesa, Markus Reichstein, Miguel D. Mahecha, Basil Kraft, Joachim Denzler:
Predicting Landscapes from Environmental Conditions Using Generative Networks. CoRR abs/1909.10296 (2019)
Coauthor Index
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