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observation data to advance our understanding and monitoring of forest disturbances. You will work with large-scale satellite datasets, particularly Sentinel-2 time series, and explore how artificial
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rate, and organic matter composition. This project will explore this question, by utilizing soils collected and archived by the Swedish Soil Inventory, and soils obtained from a large-scale CO2
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species, in heterogenous forest and monocultures. The research approach make use of data from existing experiments, remote sensing and drone monitoring. In many cases the delivered models are supposed
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, fitting to the project plan. Your profile The candidate should have a PhD degree in natural resource economics or a similar subject. Proven experience in data analysis of markets related to natural