Skip Ribbon Commands
Skip to main content
 
 
 
 
 
 
 
 
 
 
 
 
Suche
Press Contact & Location
Information for …
Breadcrumb Navigation
ZALFHomeStructureResearch Platform "Data Analysis & Simulation"Landscape Modelling

Landscape Modeling

Hauptinhalt der Seite

​​​ Arrow left Back to the working groups of the research platform

This working group develops the framework for the coupling of fundamentally different modelling approaches into an integrate landscape simulation. Initially, the working group will concentrate on a concept for the integration of process-based simulation models for cropland, grassland and forest ecosystems into a single modelling framework, with a special focus on transition zones between these ecosystems and the observed abiotic processes in these transition zones. In addition, remote sensing data is to be used to parameterise, initialise and drive one-dimensional process-based and other types of two- to three-dimensional models at the landscape scale. This includes models for socioeconomic processes.

 

 

 Publications WG
MyTitle: Climate change impacts on crop yields
MyLinkAnsehenUrl: https://doi.org/10.1038/s43017-023-00491-0, Resolve DOI name
MyLinkPDFUrl:
MyTitelMehrzeilig:
MyTextfeld:
MyAutoren: Rezaei, E.E., Webber, H., Asseng, S. (2023)
MyMeldungsdatum:
MyLabels:
Struktureinheiten:Label: NewWindow:

Climate change impacts on crop yields

Rezaei, E.E., Webber, H., Asseng, S. (2023)
Resolve DOI name
MyTitle: Agroecology for a Sustainable Agriculture and Food System: From Local Solutions to Large-Scale Adoption
MyLinkAnsehenUrl: https://doi.org/10.1146/annurev-resource-102422-090105, Resolve DOI name
MyLinkPDFUrl:
MyTitelMehrzeilig:
MyTextfeld:
MyAutoren: Ewert, F., Baatz, R., Finger, R. (2023)
MyMeldungsdatum:
MyLabels:
Struktureinheiten:Label: NewWindow:

Agroecology for a Sustainable Agriculture and Food System: From Local Solutions to Large-Scale Adoption

Ewert, F., Baatz, R., Finger, R. (2023)
Resolve DOI name
MyTitle: Predicting potato diseases in smallholder agricultural areas of Nigeria using machine learning and remote sensing-based climate data
MyLinkAnsehenUrl: https://doi.org/10.1094/PHYTOFR-10-22-0105-R, Resolve DOI name
MyLinkPDFUrl:
MyTitelMehrzeilig:
MyTextfeld:
MyAutoren: Ibrahim, E. S., Nendel, C., Kamali, B., Gajere, E. N., Hostert, P. (2023)
MyMeldungsdatum:
MyLabels:
Struktureinheiten:Label: NewWindow:

Predicting potato diseases in smallholder agricultural areas of Nigeria using machine learning and remote sensing-based climate data

Ibrahim, E. S., Nendel, C., Kamali, B., Gajere, E. N., Hostert, P. (2023)
Resolve DOI name

 Projects WG
MyTitle: Clim4Cast - Central European alliance for increasing climate change resilience to combined consequences of drought, heatwave, and fire weather through regionally-tuned forecasting
MyLinkAnsehenUrl: https://www.zalf.de/en/forschung_lehre/projekte/Pages/details.aspx?iddp=2368, Take a look
MyLinkPDFUrl:
MyTitelMehrzeilig:
MyTextfeld: Start: 01.03.2023
MyAutoren:
MyMeldungsdatum:
MyLabels:
Struktureinheiten:Label: NewWindow:

Clim4Cast - Central European alliance for increasing climate change resilience to combined consequences of drought, heatwave, and fire weather through regionally-tuned forecasting

Start: 01.03.2023
Take a look
MyTitle: YieldGEM – Improving large-area mechanistic yield simulations through disentangling genotype × environment × management factors
MyLinkAnsehenUrl: https://www.zalf.de/en/forschung_lehre/projekte/Pages/details.aspx?iddp=2365, Take a look
MyLinkPDFUrl:
MyTitelMehrzeilig:
MyTextfeld: Start: 01.03.2023
MyAutoren:
MyMeldungsdatum:
MyLabels:
Struktureinheiten:Label: NewWindow:

YieldGEM – Improving large-area mechanistic yield simulations through disentangling genotype × environment × management factors

Start: 01.03.2023
Take a look
MyTitle: ADM-Kenya: Integrated use of multisource remote sensing data for national scale agricultural drought monitoring in kenya
MyLinkAnsehenUrl: https://www.zalf.de/en/forschung_lehre/projekte/Pages/details.aspx?iddp=2332, Take a look
MyLinkPDFUrl:
MyTitelMehrzeilig:
MyTextfeld: Start: 21.11.2022
MyAutoren:
MyMeldungsdatum:
MyLabels:
Struktureinheiten:Label: NewWindow:

ADM-Kenya: Integrated use of multisource remote sensing data for national scale agricultural drought monitoring in kenya

Start: 21.11.2022
Take a look
MyTitle: MoorgrünFE: Use of proximal and remote sensing data from various sensors to develop modeling approaches for assessing soil organic carbon (SOC) stocks and its dynamics on agriculturally used grasslands on peat soils
MyLinkAnsehenUrl: https://www.zalf.de/en/forschung_lehre/projekte/Pages/details.aspx?iddp=2331, Take a look
MyLinkPDFUrl:
MyTitelMehrzeilig:
MyTextfeld: Start: 01.11.2022
MyAutoren:
MyMeldungsdatum:
MyLabels:
Struktureinheiten:Label: NewWindow:

MoorgrünFE: Use of proximal and remote sensing data from various sensors to develop modeling approaches for assessing soil organic carbon (SOC) stocks and its dynamics on agriculturally used grasslands on peat soils

Start: 01.11.2022
Take a look
MyTitle: KIKompAG - Multi-modal data integration, domain-specific methods and AI to strengthen data literacy in agricultural research
MyLinkAnsehenUrl: https://www.zalf.de/en/forschung_lehre/projekte/Pages/details.aspx?iddp=2329, Take a look
MyLinkPDFUrl:
MyTitelMehrzeilig:
MyTextfeld: Start 01.10.2022
MyAutoren:
MyMeldungsdatum:
MyLabels:
Struktureinheiten:Label: NewWindow:

KIKompAG - Multi-modal data integration, domain-specific methods and AI to strengthen data literacy in agricultural research

Start 01.10.2022
Take a look

 

Contact

 

Head of working group

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

 

Address

Leibniz-Zentrum für
Agrarlandschaftsforschung (ZALF) e. V.
Eberswalder Straße 84
15374 Müncheberg​​

Fusszeile der Seite
Wordpress
YouTube
Twitter
© Leibniz-Zentrum für Agrarlandschaftsforschung (ZALF) e. V. Müncheberg