| Using Long Short-Term Memory networks to connect water table depth anomalies to precipitation anomalies over Europe Y Ma, C Montzka, B Bayat, S Kollet Hydrology and Earth System Sciences 25 (6), 3555–3575, 2021 | 21 | 2021 |
| The SARSense campaign: air-and space-borne C-and L-band SAR for the analysis of soil and plant parameters in agriculture D Mengen, C Montzka, T Jagdhuber, A Fluhrer, C Brogi, S Baum, ... Remote Sensing 13 (4), 825, 2021 | 17 | 2021 |
| Continental-scale evaluation of a fully distributed coupled land surface and groundwater model ParFlow-CLM (v3. 6.0) over Europe BS Naz, W Sharples, Y Ma, K Goergen, S Kollet Geoscientific Model Development Discussions, 1-29, 2022 | 14 | 2022 |
| Can machine learning improve the accuracy of water level forecasts for inland navigation? Case study: Rhine River Basin, Germany Y MA, E MATTA, D MEIßNER, H SCHELLENBERG, R HINKELMANN 38th IAHR World Congress Panama City 2019, Water-Connecting the world, 1979-1989, 2019 | 8 | 2019 |
| An indirect approach based on Long Short-Term Memory networks to estimate groundwater table depth anomalies across Europe with an application for drought analysis Y MA, C Montzka, B Bayat, S Kollet Frontiers in Water, 142, 0 | 7 | |
| Advancing AI-based pan-European groundwater monitoring Y Ma, C Montzka, BS Naz, S Kollet Environmental Research Letters, 2022 | 6 | 2022 |
| Using Long Short-Term Memory networks to connect water table depth anomalies to precipitation anomalies over Europe Y Ma, C Montzka, B Bayat, S Kollet Hydrology and Earth System Sciences Discussions, 1-30, 2020 | 2 | 2020 |
| Water level predictions using neural networks in critical gauges of the Rhine River, Germany. E Matta, R Duda, C Sheer, Y Ma, Q Zhang, A Hassan, R Hinkelmann Proceedings of the 5th IAHR Europe Congress, 2018 | 2 | 2018 |
| SARSense: Analyzing air-and space-borne C-and L-band SAR backscattering signals to changes in soil and plant parameters of crops D Mengen, C Montzka, T Jagdhuber, A Fluhrer, C Brogi, S Baum, ... International Geoscience and Remote Sensing Symposium (IGARSS), 2021 | 1 | 2021 |
| SARSense: A C-and L-band SAR rehearsal campaign in Germany in preparation for ROSE-L C Montzka, C Brogi, D Mengen, M Matveeva, S Baum, D Schüttemeyer, ... IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 1 | 2020 |
| Machine learning for monitoring groundwater resources over Europe Y Ma Universitäts-und Landesbibliothek Bonn, 2022 | | 2022 |
| Knowledge transfer from simulation to reality via Long Short-Term Memory networks: Estimating groundwater table depth anomalies over Europe Y Ma, C Montzka, B Bayat, S Kollet EGU General Assembly Conference Abstracts, EGU21-590, 2021 | | 2021 |
| The SARSense campaign: A dataset for comparing Cand L-band SAR backscattering behavior to changes of soil and plant parameters in agricultural areas D Mengen, C Montzka, C Brogi, M Matveeva, S Baum, D Schüttemeyer, ... Proceedings of European Geosciences Union (EGU) 2021, 2021 | | 2021 |
| An optimized indirect method to estimate groundwater table depth anomalies over Europe based on Long Short-Term Memory networks Y Ma, C Montzka, B Bayat, SJ Kollet AGU Fall Meeting Abstracts 2020, H166-0005, 2020 | | 2020 |
| SARSense: Technical Assistance for Airborne Measurements during the SAR Sentinel Experiment C Montzka, C Brogi, M Matveeva, D Mengen, S Baum, B Bayat, H Bogena, ... | | 2020 |
| Modeling of groundwater table depth anomalies using Long Short-Term Memory networks over Europe Y Ma, C Montzka, B Bayat, S Kollet EGU General Assembly Conference Abstracts, 5367, 2020 | | 2020 |
| A Novel ML-Based Methodology for Estimating Water Table Depth Anomalies at the European Continent Scale Y Ma, C Montzka, BS Naz, SJ Kollet AGU Fall Meeting 2021, 0 | | |
Carsten MontzkaForschungszentrum JülichVerified email at fz-juelich.de
