publications

2024

1. CVPR

   

   Multi-modal learning for geospatial vegetation forecasting

   Vitus Benson , Claire Robin , Christian Requena-Mesa , Lazaro Alonso , Nuno Carvalhais , and 5 more authors

   Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2024

   Bib PDF Code

   @article{benson2024multimodal,
     title = {Multi-modal learning for geospatial vegetation forecasting},
     author = {Benson, Vitus and Robin, Claire and Requena-Mesa, Christian and Alonso, Lazaro and Carvalhais, Nuno and Cortés, José and Gao, Zhihan and Linscheid, Nora and Weynants, Mélanie and Reichstein, Markus},
     year = {2024},
     month = jun,
     journal = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
   }

2. GCB

   

   Global patterns of tree wood density

   Hui Yang , Siyuan Wang , Rackhun Son , Hoontaek Lee , Vitus Benson , and 14 more authors

   Global Change Biology, Mar 2024

   Bib PDF Code

   @article{yang2024wooddensity,
     author = {Yang, Hui and Wang, Siyuan and Son, Rackhun and Lee, Hoontaek and Benson, Vitus and Zhang, Weijie and Zhang, Yahai and Zhang, Yuzhen and Kattge, Jens and Boenisch, Gerhard and Schepaschenko, Dmitry and Karaszewski, Zbigniew and Stereńczak, Krzysztof and Moreno-Martínez, Álvaro and Nabais, Cristina and Birnbaum, Philippe and Vieilledent, Ghislain and Weber, Ulrich and Carvalhais, Nuno},
     title = {Global patterns of tree wood density},
     journal = {Global Change Biology},
     volume = {30},
     number = {3},
     pages = {e17224},
     year = {2024},
     month = mar
   }

3. ERL

   

   Measuring Tropical Rainforest Resilience under Non-Gaussian Disturbances

   Vitus Benson , Jonathan F. Donges , Niklas Boers , Marina Hirota , Andreas Morr , and 3 more authors

   Environmental Research Letters, Jan 2024

   Bib PDF Code

   @article{benson.etal_2024,
     title = {Measuring Tropical Rainforest Resilience under Non-{{Gaussian}} Disturbances},
     author = {Benson, Vitus and Donges, Jonathan F. and Boers, Niklas and Hirota, Marina and Morr, Andreas and Staal, Arie and Vollmer, Jürgen and Wunderling, Nico},
     year = {2024},
     month = jan,
     journal = {Environmental Research Letters},
     volume = {19},
     number = {2},
     pages = {024029},
     publisher = {{IOP Publishing}},
     doi = {10.1088/1748-9326/ad1e80},
   }

2022

1. TCCML

   

   Learning to Forecast Vegetation Greenness at Fine Resolution over Africa with ConvLSTMs

   Claire Robin , Christian Requena-Mesa , Vitus Benson , Lazaro Alonso , Jeran Poehls , and 2 more authors

   NeurIPS Workshop Tackling Climate Change with Machine Learning, Dec 2022

   Bib PDF

   @article{robin.etal_2022,
     title = {Learning to Forecast Vegetation Greenness at Fine Resolution over {{Africa}} with {{ConvLSTMs}}},
     author = {Robin, Claire and Requena-Mesa, Christian and Benson, Vitus and Alonso, Lazaro and Poehls, Jeran and Carvalhais, Nuno and Reichstein, Markus},
     year = {2022},
     month = dec,
     journal = {NeurIPS Workshop Tackling {{Climate Change}} with {{Machine Learning}}},
   }

2021

1. EarthVision

   

   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 , and Joachim Denzler

   Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Jun 2021

   Bib PDF

   @article{requena-mesa.etal_2021,
     title = {{{EarthNet2021}}: {{A Large-Scale Dataset}} and {{Challenge}} for {{Earth Surface Forecasting}} as a {{Guided Video Prediction Task}}.},
     author = {Requena-Mesa, Christian and Benson, Vitus and Reichstein, Markus and Runge, Jakob and Denzler, Joachim},
     year = {2021},
     month = jun,
     pages = {1132--1142},
     journal = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
   }

2020

1. AI+HADR

   

   Assessing Out-of-Domain Generalization for Robust Building Damage Detection

   Vitus Benson , and Alexander Ecker

   NeurIPS Workshop on Artificial Intelligence for Humanitarian Assistance and Disaster Response (AI+HADR), Dec 2020

   Bib PDF Code

   @article{benson.ecker_2020,
     title = {Assessing Out-of-Domain Generalization for Robust Building Damage Detection},
     author = {Benson, Vitus and Ecker, Alexander},
     journal = {NeurIPS Workshop on Artificial Intelligence for Humanitarian Assistance and {{Disaster Response (AI}}+HADR)},
     month = dec,
     year = {2020},
   }