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Buchkapitel (285)
3801.
Buchkapitel
Time characteristics of compartmental systems. In: Land carbon cycle modeling: Matrix approach, data assimilation, & ecological forecasting, S. 123 - 127 (Hg. Luo, Y.; Smith, B.). CRC Press, Boca Raton, Florida (2023)
3802.
Buchkapitel
Compartmental dynamical systems and carbon cycle models. In: Land carbon cycle modeling: Matrix approach, data assimilation, & ecological forecasting, S. 57 - 64 (Hg. Luo, Y.; Smith, B.). CRC Press, Boca Raton, Florida: CRC Press (2023)
3803.
Buchkapitel
Modeling soil organic carbon dynamics, carbon sequestration, and the climate benefit of sequestration. In: Understanding and fostering soil carbon sequestration (Hg. Rumpell, C.). Burleigh Dodds Science Publishing, Cambridge, UK (2022)
3804.
Buchkapitel
Combining system modeling and machine learning into hybrid ecosystem modeling. In: Knowledge-Guided Machine Learning, 9781003143376, S. 327 - 352 (Hg. Kannan, R.; Kumar, V.). Chapman & Hall, London (2022)
3805.
Buchkapitel
Empowering the Earth system by technology: Using thermodynamics of the Earth system to illustrate a possible sustainable future of the planet. In: Strategies for Sustainability of the Earth System. Strategies for Sustainability., S. 433 - 444 (Hg. Wilderer, P. A.; Grambow, M.; Molls, M.; Oexle , K.). Springer, Cham (2022)
3806.
Buchkapitel
Bottom-up approaches for estimating terrestrial GHG budgets: Bookkeeping, process-based modeling, and data-driven methods. In: Balancing greenhouse gas budgets:, S. 59 - 85 (Hg. Poulter, B.). Elsevier, Amsterdam (2022)
3807.
Buchkapitel
Next-generation soil biogeochemistry model representations: A proposed community open-source model farm (BeTR-S). In: Multi‐scale biogeochemical processes in soil ecosystems: Critical reactions and resilience to climate changes, S. 233 - 257 (Hg. Yang, Y.; Keiluweit, M.; Senesi, N.; Xing, B.). John Wiley & Sons, Ltd., Hoboken, New Jersey (2022)
3808.
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.; 3809.
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.; 3810.
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.; 3811.
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.; 3812.
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.; 3813.
Buchkapitel
Ground-based platforms. In: Handbook of Atmospheric Measurements, S. 155 - 182 (Hg. Foken, T.). Springer, Cham (2021)
3814.
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. 3815.
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)
3816.
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)
3817.
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)
3818.
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. 3819.
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. 3820.
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.