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Here you can find all peer-reviewed publications of our institute. You can filter by genre or year.
To search for specific publications or authors, please use the Publication Search. This tool will also show you non-peer-reviewed publications.

Book Chapter (7)

241.
Book Chapter
Kraft, B.; Besnard, S.; Koirala, S.: Emulating ecological memory with recurrent neural networks. In: Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science, and Geosciences, pp. 269 - 281 (Eds. Camps-Valls, G.; Tuia, D.; Zhu, X. X.; Reichstein, M.). John Wiley & Sons Ltd, Hoboken, New Jersey (2021)
242.
Book Chapter
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, pp. 24 - 36 (Eds. Camps-Valls, G.; Tuia, D.; Zhu, X. X.; Reichstein, M.). John Wiley & Sons Ltd, Hoboken, New Jersey (2021)
243.
Book Chapter
Reichstein, M.; Camps-Valls, G.; Tuia, D.; Zhu, X. X.: Outlook. In: Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science, and Geosciences, pp. 328 - 330 (Eds. Camps-Valls, G.; Tuia, D.; Zhu, X. X.; Reichstein, M.). John Wiley & Sons Ltd, Hoboken, New Jersey (2021)
244.
Book Chapter
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, pp. 186 - 203 (Eds. Camps-Valls, G.; Tuia, D.; Zhu, X. X.; Reichstein, M.). John Wiley & Sons Ltd, Hoboken, New Jersey (2021)
245.
Book Chapter
Kolle, O.; Kalthoff, N.; Kottmeier, C.; Munger, J. W.: Ground-based platforms. In: Handbook of Atmospheric Measurements, pp. 155 - 182 (Ed. Foken, T.). Springer, Cham (2021)
246.
Book Chapter
Reimers, C.; Bodesheim, P.; Runge, J.; Denzler, J.: Conditional adversarial debiasing: Towards learning unbiased classifiers from biased data. In: Pattern Recognition. DAGM GCPR 2021. Lecture Notes in Computer Science, Vol. 13024, pp. 48 - 62. Springer International Publishing, Cham (2021)

Conference Paper (1)

247.
Conference Paper
Adsuara, J. E.; Perez-Suay, A.; Moreno-Martınez, A.; Camps-Valls, G.; Kraemer, G.; Reichstein, M.; Mahecha, M. D.: Discovering differential equations from earth observation data. In: IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, pp. 3999 - 4002. IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, Waikoloa, HI, USA, September 26, 2020 - October 02, 2020. IEEE (2021)

Other (1)

248.
Other
Trumbore, S. E.; Barros, A. P.; Becker, T. W.; Davidson, E. A.; Ehlmann, B. L.; Gruber, N.; Hofmann, E.; Hudson, M. K.; Illangasekare, T. H.; Kang, S. et al.; Malanotte-Rizzoli, P.; Montanari, A.; Nimmo, F.; Parsons, T.; Salters, V. J. M.; Schimel, D.; Stevens, B.; Wuebbles, D. J.; Zeitler, P.; Zhu, T.: Thank you to our 2020 peer reviewers, AGU Advances 2, (2021)
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