Various sensors connected to the World Wide Web are used to obtain real-time hydrological observations. Thus, real-time management and utilization of such distributed in situ observations in the cyber-physical environment becomes possible. A Sensor Observation Service (SOS) chaining Web Feature Service (WFS) method is proposed to integrate geographical reference observation data collected by a hydrological Sensor Web into a virtual globe. This method hides the complexity of a series of information and service models in the Sensor Web realm to enable the integration of heterogeneous distributed hydrological data sources into a Spatial Data Infrastructure (SDI). The core components – a dynamic schema transformer and automatic information extractor – were designed and implemented. The SOS schema is matched to WFS schema that uses the schema transformer dynamically. The information extractor extracts and serves features automatically, conforming to standard SOS operations for observation retrieval and insertion. Feasibility experiments conducted on the Jinsha River tested this proposed method. Results show that the proposed approach allows the integration of SOS servers into legacy applications that have a higher degree of availability within many SDIs. However, this is accompanied with the drawback that only a limited part of the SOS functionality is available to clients.
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