Marco Körner
Technische Universität München
H-index: 27
Europe-Germany
Top articles of Marco Körner
Title | Journal | Author(s) | Publication Date |
---|---|---|---|
Hybrid-Modeling of Land-Atmosphere Fluxes Using Integrated Machine Learning in the ICON-ESM Modeling Framework | Reda ElGhawi Christian Reimers Reiner Schnur Markus Reichstein Marco Körner | 2024/3/7 | |
Advancing Transnational Assessments of Biodiversity Drivers in European Agriculture with an Updated Hierarchical Crop and Agriculture Taxonomy (HCAT) | M Schneider D Gackstetter J Prexl ST Meyer M Körner | 2024/1/19 | |
EuroCrops: All you need to know about the Largest Harmonised Open Crop Dataset Across the European Union | arXiv preprint arXiv:2302.10202 | Maja Schneider Tobias Schelte Felix Schmitz Marco Körner | 2023/2/20 |
EuroCrops: The Largest Harmonized Open Crop Dataset Across the European Union | Scientific Data | Maja Schneider Tobias Schelte Felix Schmitz Marco Körner | 2023/9/11 |
XAI for Early Crop Classification | Ayshah Xuan Chan Maja Schneider Marco Körner | 2023 | |
Generalization Across Sensor-Modalities for Deforestation Assessment | Joana Reuss Michael Engel Stephanie Tumampos Marco Körner | 2023/7/16 | |
Fully Automatic Generation of Training Data for Building Detection and Classification from Remote Sensing Imagery | Yixuan Wang Hai Huang Coleen Cabalo Marco Körner Helmut Mayer | 2023/7/16 | |
Hybrid modeling of evapotranspiration: inferring stomatal and aerodynamic resistances using combined physics-based and machine learning | Environmental Research Letters | Reda ElGhawi Basil Kraft Christian Reimers Markus Reichstein Marco Körner | 2023/3/7 |
Hybrid machine learning model of coupled carbon and water cycles | Zavud Baghirov Basil Kraft Martin Jung Marco Körner Markus Reichstein | 2023/2/22 | |
Towards Understanding the Impact of European Agriculture on Biodiversity with an Updated Hierarchical Crop and Agriculture Taxonomy (HCAT) | Maja Schneider David Gackstetter Jonathan Prexl Sebastian T Meyer Marco Körner | 2023/12/11 | |
Estimating global terrestrial water storage components by a physically constrained recurrent neural network | EGU General Assembly Conference Abstracts | Basil Kraft Martin Jung Marco Körner Sujan Koirala Markus Reichstein | 2022/5 |
Prediction of multi-year winter wheat yields at the field level with satellite and climatological data | Computers and Electronics in Agriculture | Michael Marszalek Marco Körner Urs Schmidhalter | 2022/3/1 |
Early crop-type mapping under climate anomalies | Michael Marszalek Maximilian Lösch Marco Körner Urs Schmidhalter | 2022/1/17 | |
Challenges and Opportunities of Large Transnational Datasets: A Case Study on European Administrative Crop Data | arXiv preprint arXiv:2210.07178 | Maja Schneider Christian Marchington Marco Körner | 2022/9/19 |
Harnessing Administrative Data Inventories to Create a Reliable Transnational Reference Database for Crop Type Monitoring | Maja Schneider Marco Körner | 2022/7/17 | |
Hybrid Modelling of Land-Atmosphere Fluxes: Estimating Evapotranspiration using Combined Physics-Based and Data-Driven Machine Learning | EGU General Assembly Conference Abstracts | Reda ElGhawi Alexander J Winkler Basil Kraft Christian Reimers Marco Körner | 2022/5 |
[Re] Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention | ReScience C | Maja Schneider Marco Körner | 2021/5/28 |
Towards hybrid modeling of the global hydrological cycle | Hydrology and Earth System Sciences | Basil Kraft Martin Jung Marco Körner Sujan Koirala Markus Reichstein | 2022/3/23 |
Derivation of Geometrically and Semantically Annotated UAV Datasets at Large Scales from 3D City Models | Sidi Wu Lukas Liebel Marco Körner | 2021/1/10 | |
Recurrent Neural Networks and the Temporal Component | Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science, and Geosciences | Marco Körner Marc Rußwurm | 2021/9/27 |