Geography and data science
We explore soil patterns and soil properties at different scales in space and time. We develop methods for quantifying soil properties combining expert knowledge, data science, Qgeostatistics, remote and proximal sensing, and process-based modelling. We explicitly quantify uncertainties.
Topics
Our topics include:
- Digital and data-driven soil mapping
- Soil modelling for the Netherlands
- Build and compare several hybrid models (machine learning and process-based modelling)
Contact us
Research themes
Earth surface dynamics
We analyse the past of soil and landscape systems to understand the current dynamics under global change and to project future pathways.
Human-landscape interaction
We study human-landscape interactions over a range of spatial and temporal scales, using geological, geomorphological, archaeological and historical data.
Geography and data science
We develop methods for quantifying soil properties combining expert knowledge, data science, geostatistics, remote and proximal sensing, and process-based modelling.