In summary, this dissertation presents a fundamental sensor development according to newly formulated sampling theorem (Object Specific Exposure - OSE) from an ocean engineering perspective. It provides a fast method based on a service-oriented optical sensor system that allows reliable statements regarding the state of aquatic (eco-) systems (turbidity and dissolved organic carbon) with feasible sensor effort during the field measurement. The technological approach presented in this thesis helps to increase the informative value of sensor data while reducing the effort for the user.<eng>
