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Buchkapitel (7)
241.
Buchkapitel
Reichstein, M.). John Wiley & Sons Ltd, Hoboken, New Jersey (2021)
Introduction. In: Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science, and Geosciences (Hg. Camps-Valls, G.; Tuia, D.; Zhu, X. X.; 242.
Buchkapitel
Reichstein, M.). John Wiley & Sons Ltd, Hoboken, New Jersey (2021)
Emulating ecological memory with recurrent neural networks. In: Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science, and Geosciences, S. 269 - 281 (Hg. Camps-Valls, G.; Tuia, D.; Zhu, X. X.; 243.
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.; 244.
Buchkapitel
Reichstein, M.). John Wiley & Sons Ltd, Hoboken, New Jersey (2021)
Outlook. In: Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science, and Geosciences, S. 328 - 330 (Hg. Camps-Valls, G.; Tuia, D.; Zhu, X. X.; 245.
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.; 246.
Buchkapitel
Ground-based platforms. In: Handbook of Atmospheric Measurements, S. 155 - 182 (Hg. Foken, T.). Springer, Cham (2021)
247.
Buchkapitel
13024, S. 48 - 62. Springer International Publishing, Cham (2021)
Conditional adversarial debiasing: Towards learning unbiased classifiers from biased data. In: Pattern Recognition. DAGM GCPR 2021. Lecture Notes in Computer Science, Bd. Konferenzbeitrag (4)
248.
Konferenzbeitrag
On the generalization of agricultural drought classification from climate data. In: NeurIPS 2021. Workshop - Tackling Climate Change with Machine Learning
On the Generalization of ML-based Agricultural Drought Classification from Climate Date, 2021. (2021)
249.
Konferenzbeitrag
Automatic plant cover estimation with convolutional neural networks. In: GI-Edition: lecture notes in informatics. Proceedings. Informatik 2021 : computer science & sustainability, Berlin / Gesellschaft für Informatik e.V. (GI) (Hrsg.) , 27. September 2021 - 01. Oktober 2021. Ges. für Informatik, Bonn (2021)
250.
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)
251.
Konferenzbeitrag
Discovering differential equations from earth observation data. In: IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, S. 3999 - 4002. IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, Waikoloa, HI, USA, 26. September 2020 - 02. Oktober 2020. IEEE (2021)
Sonstige (1)
252.
Sonstige
Thank you to our 2020 peer reviewers, AGU Advances 2, (2021)
Preprint (1)
253.
Preprint
Non-structural carbohydrate concentrations in woody organs, but not leaves, of temperate and tropical tree angiosperms are independent of the ‘fast-slow’ plant economic spectrum. (2021)