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Research
Research areas
Landscape modelling framework
Our projects in Landscape modelling farmework
Research areas
Landscape experimentation
Digital landscape analyses
Landscape modelling framework
Socio-economy, scenarios and stakeholder dialogue
Our projects in Landscape modelling farmework
Postdoctoral research
FarmScale: A framework for integrating farm and landscape models in Denmark
Greenhouse gas dynamics in northern peatlands
Greenhouse gas fluxes from cold-region wetland soil
Machine learning and mechanistic modelling to link remote sensing and peatland Ecophysiology
MARVIC
Modeling the greenhouse gas fluxes in Danish forests
Multi-scale mapping of peatland soil properties and functions in Denmark
Remote sensing estimation of cover crop biomass in Denmark
Ph.D. projects
Biogeochemistry of Agricultural Microtopographies: Unveiling the role of Microtopographic features in Agricultural GHG emissions
Can Isotopic Maps Reveal N<sub>2</sub>O Emissions?
Digital Twin for Multi-Objective Optimization of Agricultural Landscapes in Denmark
Integrating machine learning with agroecosystem modelling
Integrating Modeling and Remote Sensing Approaches to Assess Hydrological Dynamics and GHG Emission of Temporary Flooded Depressions in Danish Croplands
Investigating Stakeholder Perspectives and Landscape Transitions through 3D Visualisations
Modelling the livestock carrying capacity in sub-Saharan Africa
Field-Level Crop Yield Prediction in Denmark Using Machine Learning and Process-Based Modelling with Remote Sensing Integration
Revised 06.03.2026
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Johanne Jensen