Publikationen von Christian Requena Mesa
Alle Typen
Zeitschriftenartikel (3)
1.
Zeitschriftenartikel
16 (1), e2023MS003710 (2024)
Integration of a deep-learning-based fire model into a global land surface model. Journal of Advances in Modeling Earth Systems 2.
Zeitschriftenartikel
263, 109175 (2021)
Global COVID-19 lockdown highlights humans as both threats and custodians of the environment. Biological Conservation 3.
Zeitschriftenartikel
2, 31 (2019)
Identifying dynamic memory effects on vegetation state using recurrent neural networks. Frontiers in Big Data Buchkapitel (3)
4.
Buchkapitel
Reichstein, M.). John Wiley & Sons Ltd, Hoboken, New Jersey (2021)
Generative adversarial networks in the Geosciences. In: Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science, and Geosciences, S. 24 - 36 (Hg. Camps-Valls, G.; Tuia, D.; Zhu, X. X.; 5.
Buchkapitel
Reichstein, M.). John Wiley & Sons Ltd, Hoboken, New Jersey (2021)
Spatio-temporal Autoencoders in Weather and Climate Research. In: Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science, and Geosciences, S. 186 - 203 (Hg. Camps-Valls, G.; Tuia, D.; Zhu, X. X.; 6.
Buchkapitel
Predicting landscapes from environmental conditions using generative networks. In: Pattern Recognition, DAGM GCPR 2019, S. 203 - 217 (Hg. FInk, G. A.; Frintrop, S.; Jiang, X.). Springer, Cham (2019)
Konferenzbeitrag (2)
7.
Konferenzbeitrag
EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task. In: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW, Nashville, TN, USA , 19. Juni 2021 - 25. Juni 2021. IEEE, Nashville, TN, USA (2021)
8.
Konferenzbeitrag
Predicting landscapes as seen from space from environmental conditions. In: 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), S. 1768 - 1771. (2018)
Preprint (2)
9.
Preprint
Forecasting localized weather impacts on vegetation as seen from space with meteo-guided video prediction. arXiv (2023)
10.
Preprint
Learning to forecast vegetation greenness at fine resolution over Africa with ConvLSTMs. arXiv (2022)