Design and Implementation of Data Usability Processor into an Automated Processing Chain for Optical Remote Sensing Data

Diverse anthropogenic impacts will trigger worldwide environmental and social problems as e.g. climate change or social transformation processes. To observe these processes current information about status, direction of development and spatial or temporal dynamics of the processes are required. As the demand for current environmental information is increasing, earth observation (EO) and remote sensing (RS) techniques are moving to the focus of interest. Generation and dissemination of RS based information products for e.g. time-critical applications can only be guaranteed by state-of-the-art concepts for data processing. This can be realized either by cumbersome and thus expensive interactive processing or by setting-up development and implementation of automated data processing infrastructure. In both cases information about data quality is important for the pre-processing and value adding processing steps. This contribution is focussed on a processor for automated data usability assessment which can be integrated into an automated processing chain adding information valuable for the user.