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Publikationen von Christian Requena Mesa

Zeitschriftenartikel (2)

1.
Zeitschriftenartikel
Bates, A. E.; Primack, R. B.; Biggar, B. S.; Bird, T. J.; Clinton, M. E.; Command, R. J.; Richards, C.; Shellard, M.; Geraldi, N. R.; Vergara, V. et al.; Acevedo-Charry, O.; Requena Mesa, C.; et, a.: Global COVID-19 lockdown highlights humans as both threats and custodians of the environment. Biological Conservation 263, 109175 (2021)
2.
Zeitschriftenartikel
Kraft, B.; Jung, M.; Körner, M.; Requena Mesa, C.; Cortés, J.; Reichstein, M.: Identifying dynamic memory effects on vegetation state using recurrent neural networks. Frontiers in Big Data 2, 31 (2019)

Buchkapitel (3)

3.
Buchkapitel
Mateo-García, G.; Laparra, V.; Requena Mesa, C.; Gómez-Chova, L.: 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.; Reichstein, M.). John Wiley & Sons Ltd, Hoboken, New Jersey (2021)
4.
Buchkapitel
Tibau, X.-A.; Reimers, C.; Requena Mesa, C.; Runge, J.: 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.; Reichstein, M.). John Wiley & Sons Ltd, Hoboken, New Jersey (2021)
5.
Buchkapitel
Requena-Mesa, C.; Reichstein, M.; Mahecha, M. D.; Kraft, B.; Denzler, J.: 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 (1)

6.
Konferenzbeitrag
Requena-Mesa, C.; Reichstein, M.; Mahecha, M. D.; Kraft, B.; Denzler, J.: Predicting landscapes as seen from space from environmental conditions. In: 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), S. 1768 - 1771. (2018)

Preprint (1)

7.
Preprint
Requena Mesa, C.; Benson, V.; Reichstein, M.; Runge, J.; Denzler, J.: EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task. (2021)
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