Dr. Swen Meyer
Dr.
Swen Meyer
Großbeeren
033701 - 78 353
meyer.swen@igzev.de
Ehemalige Mitarbeitende
Ausbildung
Berufliche Tätigkeiten
Sonstige Tätigkeiten
ph-BB – Präzise Kalkung in Brandenburg
In Brandenburg ist nur auf 26 % der Ackerflächen der Boden pH-Wert im optimalen Bereich. Auf 74 % der Flächen hingegen kommt es zu Ertragsminderunge...
GeoSenSys
Georeferenziertes Sensor-gestütztes Daten-Management-System zur teilflächenspezifischen Bewässerung und Düngung von FreilandgemüseIm Rahmen von G...
GeoSenSys
Georeferenced sensor-supported data management system for a site-specific irrigation and fertilisation of open field vegetablesWithin the framework of...
Predicting the Lime Demand of Arable Soils from pH Value, Soil Texture and Soil Organic Matter Content
Rühlmann, J.; Bönecke, E.; Meyer, S. (2021). Predicting the Lime Demand of Arable Soils from pH Value, Soil Texture and Soil Organic Matter Content. Agronomy 2021, 11, 785. https://doi.org/10.3390/agronomy11040785
→Guidelines for precise lime management based on high‑resolution soil pH, texture and SOM maps generated from proximal soil sensing data
Bönecke, E.; Meyer, S.; Vogel, S.; Schröter, I.; Gebbers, R.; Kling, C.; Kramer, E.; Lück, K.; Nagel, A.; Philipp, G.; Gerlach, F.; Palme, S.; Scheibe, D.; Zieger, K.; Rühlmann, J. (2020). Guidelines for precise lime management based on high‑resolution soil pH, texture and SOM maps generated from proximal soil sensing data. Precision Agric 22, 493–523 (2021). https://doi.org/10.1007/s11119-020-09766-8
→Utilization of Multi-Temporal Microwave Remote Sensing Data within a Geostatistical Regionalization Approach for the Derivation of Soil Texture
Marzahn, P.; Meyer, S. (2020).Utilization of Multi-Temporal Microwave Remote Sensing Data within a Geostatistical Regionalization Approach for the Derivation of Soil Texture. Remote Sens. 2020, 12(16), 2660; https://doi.org/10.3390/rs12162660
→Utilization of Multi-Temporal Microwave Remote Sensing Data within a Geostatistical Regionalization Approach for the Derivation of Soil Texture
Marzahn, P.; Meyer, S. (2020). Utilization of Multi-Temporal Microwave Remote Sensing Data within a Geostatistical Regionalization Approach for the Derivation of Soil Texture. Remote Sens. 2020, 12(16), 2660; https://doi.org/10.3390/rs12162660
→Utilization of Multi-Temporal Microwave Remote Sensing Data within a Geostatistical Regionalization Approach for the Derivation of Soil Texture
Marzah, P.; Meyer, S. (2020). Utilization of Multi-Temporal Microwave Remote Sensing Data within a Geostatistical Regionalization Approach for the Derivation of Soil Texture. Remote Sens. 2020, 12(16), 2660;https://doi.org/10.3390/rs12162660
→Creating soil texture maps for precision liming using electrical resistivity and gamma ray mapping
Meyer, S.; Kling, C., Vogel, S.; Schröter, I.; Nagel, A.; Kramer, E.; Gebbers, R.; Philipp, G.; Lück, K.; Gerlach, F.; Scheibe, D.; Rühlmann, J. (2019). Creating soil texture maps for precision liming using electrical resistivity and gamma ray mapping, Conference: 12th European Conference on Precision Agriculture. DOI: 10.3920/978-90-8686-888-9_67
→Deriving spatially explicit water uses from land use change modelling results in four river basins across Europe
Huber García, V.; Meyer, S.; Kok, K.; Verweij, P.; Ludwig, R. 2018. Deriving spatially explicit water uses from land use change modelling results in four river basins across Europe. Science of The Total Environment, 1079-1097.
DOI: 10.1016/j.scitotenv.2018.02.051
→Multimodel assessment of climate change-induced hydrologic impacts for a Mediterranean catchment
Perra, E.; Piras, M.; Deidda, R.; Paniconi, C.; Mascaro, G.; Vivoni, E.R.; Cau, P.; Marras, P.A.; Ludwig, R.; Meyer, S. 2018. Multimodal assessment of climate change-induced hydrologic impacts for a Mediterranean catchment. Hydrology and Earth System Science 22, 4125-4143.
DOI: 10.5194/hess-22-4125-2018
→Improved hydrological model parametrization for climate change impact assessment under data scarcity—The potential of field monitoring techniques and geostatistics
Meyer, S.; Blaschek, M.; Duttmann, R.; Ludwig, R. 2016. Improved hydrological model parametrization for climate change impact assessment under data scarcity—The potential of field monitoring techniques and geostatistics. Science of the Total Environment, 543, 906-923.
doi.org/10.1016/j.scitotenv.2015.07.116
→Modelling climate change impacts on and adaptation strategies for agriculture in Sardinia and Tunisia using AquaCrop and value-at-risk
Bird, D. N.; Benabdallah, S.; Gouda, N.; Hummel, F.; Koeberl, J.; La Jeunesse, I.; Meyer, S.; Prettenthaler, F.; Soddu, A.; Woess-Gallasch, S. 2016. Modelling climate change impacts on and adaptation strategies for agriculture in Sardinia and Tunisia using AquaCrop and value-at-risk. Science of the Total Environment, 543, 1019-1027.
doi.org/10.1016/j.scitotenv.2015.07.035
→Noninvasive monitoring of soil static characteristics and dynamic states: A case study highlighting vegetation effects on agricultural land
Cassiani, G.; Ursino, N.; Deiana, R.; Vignoli, G.; Boaga, J.; Rossi, M.; Perri, P.; Blaschek, M.; Duttmann, R.; Meyer, S.; Soddu, A.; Dietrich, P.; Werban, U.; Ludwig, R. 2012. Noninvasive monitoring of soil static characteristics and dynamic states: A case study highlighting vegetation effects on agricultural land. Vadose Zone Journal, 11(3).
→Calculation of field SOC stocks based on high-resolution soil texture maps
Meyer, S.; Franko, U.; Rühlmann, J. 2018. Calculation of field SOC stocks based on high-resolution soil texture maps. In: Soil organic matter management in agriculture. Assessing the potential of the 4per1000 initiative. Book of abstracts, 42.
Präzise Kalkung durch Integration hochauflösender Bodensensoren
Schröter, I.; Vogel, S.; Meyer, S.; Kling, C.; Rühlmann, J.; Gebbers, R.; Kramer, E. 2018. Präzise Kalkung durch Integration hochauflösender Bodensensoren. Informatik in der Land-, Forst- und Ernährungswirtschaft. Referate der 38. GIL-Jahrestagung, Book of Abstracts.
Using proximal soil sensors for precision liming in the Federal State of Brandenburg (Germany)
Vogel, S.; Schröter, I.; Kling, C.; Meyer, S.; Rühlmann, J.; Kramer, E.; Gebbers, R. 2018. Using proximal soil sensors for precision liming in the Federal State of Brandenburg (Germany). BONARES 2018 Conference Berlin, Germany, Book of Abstracts.