Sensor Web approach to flood monitoring and risk assessment

In this paper we discuss advantages and benefits of Sensor Web approach to flood monitoring and risk assessment. A general framework of using Sensor Web based services is discussed that incorporates heterogeneous data sources to provide disaster hazard mapping. Probability density function of the disaster is estimated based on the analysis of heterogeneous geospatial data. We use risk functional minimization theory that is developed within the theoretical framework known as a statistical learning theory. A particular case-study, the Namibia SensorWeb Pilot Project, of exploiting this framework is described.