Hier finden Sie alle peer-reviewed Veröffentlichungen unseres Instituts. Sie können nach Genre oder Jahr filtern.
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Buchkapitel (287)
3861.
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.; 3862.
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.; 3863.
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.; 3864.
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.; 3865.
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.; 3866.
Buchkapitel
Ground-based platforms. In: Handbook of Atmospheric Measurements, S. 155 - 182 (Hg. Foken, T.). Springer, Cham (2021)
3867.
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. 3868.
Buchkapitel
Dendrochronological potential of trees from America’s rainiest region. In: Latin American dendroecology: Combining tree-ring sciences and ecology in a megadiverse territory, S. 79 - 119 (Hg. Pompa-Garcia , M.; Camarero, J. J.). Springer, Cham (2020)
3869.
Buchkapitel
Hazard Information Profiles: Supplement to UNDRR-ISC Hazard Definition & Classification Review. In: UNDRR-ISC Hazard Definition & Classification Review: Technical Report: Geneva, Switzerland, United Nations Office for Disaster Risk Reduction; Paris, France, International Science Council. UNDDR, Geneva (2020)
3870.
Buchkapitel
Outlook: Challenges for societal resilience under climate extremes. In: Climate extremes and their implications for impact and risk assessment, S. 341 - 353 (Hg. Sillmann, J.; Sippel, S.; Russo, S.). Elsevier, Amsterdam (2019)
3871.
Buchkapitel
61, S. 133 - 161 (Hg. Eisenhauer, N.; Bohan, D. A.; Dumbrell, A. J.). Academic Press, London et al. (2019)
Terrestrial laser scanning reveals temporal changes in biodiversity mechanisms driving grassland productivity. In: Mechanisms underlying the relationship between biodiversity and ecosystem function, Bd. 3872.
Buchkapitel
61, S. 221 - 264 (Hg. Eisenhauer, N.; Bohan, D. A.; Dumbrell, A. J.). Academic Press, London et al. (2019)
A new experimental approach to test why biodiversity effects strengthen as ecosystems age. In: Mechanisms underlying the relationship between biodiversity and ecosystem function, Bd. 3873.
Buchkapitel
61, S. 185 - 219 (Hg. Eisenhauer, N.; Bohan, D. A.). Academic Press, London et al. (2019)
How plant diversity impacts the coupled water, nutrient and carbon cycles. In: Mechanisms underlying the relationship between biodiversity and ecosystem function, Bd. 3874.
Buchkapitel
Data challenges limit our global understanding of humanitarian disasters triggered by climate extremes. In: Climate Extremes and Their Implications for Impact and Risk Assessment, S. 243 - 256 (Hg. Sillmann, J.; Sippel, S.; Russo, S.). Elsevier, Amsterdam (2019)
3875.
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)
3876.
Buchkapitel
Schulze, E. D.; Beck, E.; Buchmann, N.; Clemens, S.; Müller-Hohenstein, K. et al.). Springer, Berlin (2019)
Introduction. In: Plant Ecology, S. 1 - 5 (Hg. 3877.
Buchkapitel
Schulze, E. D.; Beck, E.; Buchmann, N.; Clemens, S.; Müller-Hohenstein, K. et al.). Springer, Berlin (2019)
General themes of molecular stress physiology. In: Plant Ecology, S. 9 - 55 (Hg. 3878.
Buchkapitel
Schulze, E. D.; Beck, E.; Buchmann, N.; Clemens, S.; Müller-Hohenstein, K. et al.). Springer, Berlin (2019)
Light. In: Plant Ecology, S. 57 - 90 (Hg. 3879.
Buchkapitel
Schulze, E. D.; Beck, E.; Buchmann, N.; Clemens, S.; Müller-Hohenstein, K. et al.). Springer, Berlin (2019)
Temperature. In: Plant Ecology, S. 91 - 142 (Hg. 3880.
Buchkapitel
Schulze, E. D.; Beck, E.; Buchmann, N.; Clemens, S.; Müller-Hohenstein, K. et al.). Springer, Berlin (2019)
Oxygen deficiency. In: Plant Ecology, S. 143 - 164 (Hg.