Objective

Development of an extensible "open source" process chain for scale-specific prediction of topsoil carbon contents

Methodology

• Basic parameterisation of user-specific soil samples with multi-hierarchical relief attributes and multi-temporal soil reflectance composites
• Modelling using machine learning methods
• Characterisation of the modelling products with global accuracy and local uncertainty measures
• Documentation of the geodata life cycle according to FAIR principles

Climate effect under consideration

Spatial and temporal variation of the carbon storage potential of agricultural soils