Suchergebnisse

Henrik Voigt, Nuno Carvalhais, Monique Meuschke, Markus Reichstein, Sina Zarrie, and Kai Lawonn, "VIST5: An adaptive, retrieval-augmented language model for visualization-oriented dialog", in Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, (Association for Computational Linguistics, Singapur, 2023), pp. 70-81.

Gilmar Henrique Santana da Silva, Cléo Quaresma Dias Junior, Júlia Clarinda Paiva Cohen, and Stefan Wolff, "Squall line in the Amazon region and the transport of gas near the surface during the occurrence of downdraft", in Ciência e Natura, (UFSM Revista Ciência e Natura, Santa Maria, 2023), Vol. 45.

Anne Cristiny Santos de Mendonça, Cléo Quaresma Dias Júnior, Otavio Costa Acevedo, Luca Mortarini, and Daniel Magnabosco Marra, "Turbulence regimes in the stable boundary layer above the Amazon rainforest", in Ciência e Natura, (UFSM Revista Ciência e Natura, Santa Maria, 2023), Vol. 45.

Anne Cristiny Santos de MendonçaI and Eliane G. Alves, "Variability of isoprene emissions in central Amazon: simulations using the Megan model", in Ciência e Natura, (UFSM Revista Ciência e Natura, Santa Maria, 2023), Vol. 45.

Raíssa Soares de Oliveira, Cléo Quaresma Dias Júnior, and Daiane Vargas de Brondani, "The influence of topography on turbulent runoff between the central Amazon forest and the atmosphere", in Ciência e Natura, (UFSM Revista Ciência e Natura, Santa Maria, 2023), Vol. 45.

Carla Maria Alves de Souza, Cléo Quaresma Dias Júnior, Hardiney dos Santos Martins, Flávio Augusto Farias D’Oliveira, Luiz Augusto Toledo Machado, Rayonil Gomes Carneiro, and Gilberto Fernando Fisch, "Climatology of the height of the atmospheric boundary layer in the Central Amazon", in Ciência e Natura, (UFSM Revista Ciência e Natura, Santa Maria, 2023), Vol. 45.

Denisi Holanda Hall, Cléo Quaresma Dias Junior, Luiz Antonio Candido, Bruno Takeshi Tanaka Portela, Leonardo Ramos de Oliveira, Carla Souza de Farias, Maria Juliana Melo de Monte, Anne Cristiny Santos de Mendonça, Joice Jesus de Machado, Rosária Rodrigues Ferreira, Regison Costa da de Oliveira, and Ranyelli Cunhas de Figueiredo, "Comparative study of energy balance in urban and forest areas in Central Amazonia", in Ciência e Natura, (UFSM Revista Ciência e Natura, Santa Maria, 2023), Vol. 45.

F. M. Hellwig, T. Jagdhuber, A. Fluhrer, C. Dubois, D. Chaparro, Konstantin Schellenberg, M. Piles, C. Schmullius, and D. Entekhabi, "Multi-frequency radiometry for multi-year monitoring of relative water content in a temperate forest", in IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, (2023), pp. 2739-2742.

T. Jagdhuber, A. Fluhrer, D. Chaparro, C. Dubois, F. M. Hellwig, B. Bayat, C. Montzka, M. J. Baur, M. Ramati, A. Kübert, M. M. Mueller, Konstantin Schellenberg, M. Boehm, F. Jonard, S. Steele-Dunne, M. Piles, and D. Entekhabi, "On the potential of active and passive microwave remote sensing for tracking seasonal dynamics of evapotranspiration", in IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, (IEEE, 2023), pp. 2610-2613.

David Friede, Christian Reimers, Heiner Stuckenschmidt, and Mathias Niepert, "Learning disentangled discrete representations", in Machine learning and knowledge discovery in databases: Research track. ECML PKDD 2023. Lecture Notes in Computer Science, edited by D. Koutra, C. Plant, Rodriguez, M. Gomez, and E. Baralis (Springer, Cham, 2023), Vol. 14172, pp. 593-609.

Gunnar Brandt, Alicja Balfanz, Norman Fomferra, Tejas Morbagal Harish, Miguel Mahecha, Guido Kraemer, David Montero, Stephan Meißl, Stefan Achtsnit, Josefine Umlauft, Anja Neumann, Alex Horton, Martin Ewart, Fabian Gans, and Anca Anghelea, "DeepESDL – an open platform for research and collaboration in Earth Sciences", in EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-15225, (2023).

Ana Bastos, "Carbon budgets from global to regional scales: current challenges and future perspectives", in EGU General Assembly 2022, Vienna, Austria, (2022).

Jana Sillmann, Ingrid Christensen, Stefan Hochrainer-Stigler, Jo-Ting Huang-Lachmann, Sirkku Juhola, Kai Kornhuber, Miguel D. Mahecha, Reinhard Mechler, Markus Reichstein, Alex C. Ruane, Pia-Johanna Schweizer, and Scott Williams, "Briefing note on systemic risk", in International Science Council, (2022), pp. 1-35.

Javier Pacheco-Labrador, Ulrich Weber, X. Ma, M. D. Mahecha, Nuno Carvalhais, C. Wirth, A. Huth, F. J. Bohn, G. Kraemer, U. Heiden, FunDivEUROPE members, and Mirco Migliavacca, "Evalutating the potential of desis to infer plant taxonomical and functional diversities in europwean forests", in 1st DESIS User Workshop – Imaging Spectrometer Space Mission, Calibration and Validation, Applications, Methods, (2022), Vol. XLVI-1/W1-2021, pp. 49-55.

Julia Gottfriedsen, Max Berrendorf, Pierre Gentine, Birgit Hassler, Markus Reichstein, Katja Weigel, and Veronika Eyring, "On the generalization of agricultural drought classification from climate data", in NeurIPS 2021, (2021).

M. Urban, A. Hirner, J. Ziemer, M. M. Mueller, U. Gessner, J. Baade, B. Mogonong, T. Morgenthal, G. Feig, A. Ramoelo, Kai Heckel, H. S. Nghiyalwa, and C. Schmullius, "Sentinel-1 and Sentinel-2 time series breakpoint detection as part of the south African land degradation monitor (SALDI)", in 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, (IEEE, Brüssel, Belgien, 2021), pp. 1997-2000.

Matthias Körschens, Paul Bodesheim, Christine Römermann, Solveig Franziska Bucher, Mirco Migliavacca, Josephine Ulrich, and Joachim Denzler, "Automatic plant cover estimation with convolutional neural networks", in GI-Edition: lecture notes in informatics. Proceedings, (Ges. für Informatik, Bonn, 2021).

Christian Requena Mesa, Vitus Benson, Markus Reichstein, Jakob Runge, and Joachim Denzler, "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), (IEEE, Nashville, TN, USA, 2021).

Jose E. Adsuara, Adrian Perez-Suay, Alvaro Moreno-Martınez, Gustau Camps-Valls, Guido Kraemer, Markus Reichstein, and Miguel D. Mahecha, "Discovering differential equations from earth observation data", in IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, (IEEE, 2021), pp. 3999-4002.

Gustau Camps-Valls, Markus Reichstein, Xiaoxiang Zhu, and Devis Tuia, "Advancing deep learning for earth sciences: From hybrid modeling to interpretability", in IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, (2020), pp. 3979-3982.