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Uncertain data: Positional accuracy of soil sample locations
Digital soil mapping depends on the statistical relationships between soil measurements and environmental covariates at the sample locations. Whenever an error is present in these locations, a discrepancy between the measurement a ...
Supervisor: Cynthia van Leeuwen (SGL WUR / ISRIC) and Titia Mulder (SGL WUR)
Department: Soil Geography and Landscape |
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Landscape Evolution: Fieldwork and Modelling Scenarios
Combine in a selected landscape (to be chosen) fieldwork (mapping, sampling, measuring) with LEM modelling and scenarios on the driving factors of landscape development or landscape evolution, with emphasis on e.g. sensitivity ana ...
Supervisor: Jeroen Schoorl
Department: Soil Geography and Landscape |
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Busy beavers capture carbon
Environmental scientists have proposed drawing carbon out of the air and burying it to reduce greenhouse gasses and the impact of climate change. Maybe we can take some tips from nature’s own eco-engineers – beavers – which ...
Supervisor: Annegret Larsen
Department: Soil Geography and Landscape |
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Digital Soil Mapping: Random Forest spatial interpolation
The thesis research will begin with a literature review of machine learning for soil mapping. Next you will study the RFSI algorithm and apply it to a test dataset. This is all done in R, using existing scripts that need slight mo ...
Supervisor: Gerard Heuvelink
Department: Soil Geography and Landscape |
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Uncertainty propagation in global soil organic carbon stock estimation
There is much worldwide interest in accurate estimation of the global soil organic carbon stock. This is because soil carbon storage can help mitigate climate change. For instance, the 4per1000 initiative (https://www.4p1000.org/) ...
Supervisor: Gerard Heuvelink
Department: Soil Geography and Landscape |
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