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Research Platform "Data Analysis & Simulation"

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For agricultural landscape research, extensive landscape data must be generated, analysed and made available. Innovative developments in other research areas in the generation of spatial data (e.g. proximal and remote sensing) and in the analysis and processing of large data sets (e.g. big data approaches) also offer excellent opportunities for agricultural landscape research to systematically use ever larger data sets and to integrate them optimally into relevant research programmes. In addition, numerical modelling and simulation is a central component of research. At ZALF, the interactive and simple use of models and methods for the analysis of processes in agricultural landscapes is a particular focus. The research platform "FDS" develops a coherent concept for the integration of data, models and simulation methods for landscape research, from technical solutions to a landscape theory.

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Our Working Groups

 

In addition to the methodological topics, research activities in the Research Platform are mainly linked to two UN Sustainable Development Goals (SDG; UN 2015), which are also addressed in the German Sustainable Development Strategy (2016): Zero Hunger (SDG 2) and Climate Action (SDG 13).

 

 

News

Title: Satellite-based information for grassland management: New digital tools calculate the ecosystem services of grassland
MehrLink: https://www.zalf.de/en/aktuelles/Pages/Pressemitteilungen/Satellitengestuetzte-Information-Gruenland.aspx, More
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MyMeldungsdatum: 2021-03-18 11:00:00
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18.03.2021

Satellite-based information for grassland management: New digital tools calculate the ecosystem services of grassland

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 Publications

MyTitle: Tire abrasion particles negatively affect plant growth even at low concentrations and alter soil biogeochemical cycling
MyLinkAnsehenUrl: https://doi.org/10.1007/s42832-021-0114-2, Resolve DOI name
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MyAutoren: Leifheit, E. F., Kissener, H. L., Faltin, E., Ryo, M., Rillig, M. C. (2021)
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Tire abrasion particles negatively affect plant growth even at low concentrations and alter soil biogeochemical cycling

Leifheit, E. F., Kissener, H. L., Faltin, E., Ryo, M., Rillig, M. C. (2021)
MyTitle: Machine learning in crop yield modelling: a powerful tool, but no surrogate for science
MyLinkAnsehenUrl: https://doi.org/10.1016/j.agrformet.2021.108698, Resolve DOI name
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MyAutoren: Lischeid, G., Webber, H., Sommer, M., Nendel, C., Ewert, F. (2022)
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Machine learning in crop yield modelling: a powerful tool, but no surrogate for science

Lischeid, G., Webber, H., Sommer, M., Nendel, C., Ewert, F. (2022)
MyTitle: Mapping grassland mowing events across Germany based on time series of Sentinel-2 and Landsat 8 data
MyLinkAnsehenUrl: https://doi.org/10.1016/j.rse.2021.112795, Resolve DOI name
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MyAutoren: Schwieder, M., M. Wesemeyer, D. Frantz, K. Pfoch, S. Erasmi, J. Pickert, C. Nendel and P. Hostert (2022)
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Mapping grassland mowing events across Germany based on time series of Sentinel-2 and Landsat 8 data

Schwieder, M., M. Wesemeyer, D. Frantz, K. Pfoch, S. Erasmi, J. Pickert, C. Nendel and P. Hostert (2022)

 Projects

MyTitle: DAKIS - Digital Agricultural Knowledge and Information System
MyLinkAnsehenUrl: https://www.zalf.de/en/forschung_lehre/projekte/Pages/details.aspx?iddp=2121, Take a look
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MyTextfeld: Start: 01.04.2019
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DAKIS - Digital Agricultural Knowledge and Information System

Start: 01.04.2019
MyTitle: BONARES – Centre for Soil Research
MyLinkAnsehenUrl: https://www.zalf.de/en/forschung_lehre/projekte/Pages/details.aspx?iddp=1775, Take a look
MyLinkPDFUrl: http://www.bonares.de/, Go to homepage
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MyTextfeld: Start: 2015, July 01
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BONARES – Centre for Soil Research

Start: 2015, July 01

 

  

People of the research platform

 

Co-Heads

Prof. Dr. Gunnar Lischeid
T +49 (0)33432 82-300

Prof. Dr. Claas Nendel
T +49 (0)33432 82-355

 

Administration

Dr. Ina Keggenhoff
T +49 (0)33432 82-102
F +49 (0)33432 82-334

 

Secretary’s office

Annett Stange
T +49 (0)33432 82-274
F +49 (0)33432 82-334

Liane Wascher
T +49 (0)33432 82-300
F +49 (0)33432 82-301

 

 

Adresse

Leibniz-Zentrum für
Agrarlandschaftsforschung (ZALF) e. V.

Eberswalder Straße 84
15374 Müncheberg

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