This paper describes a Sensor Observation Service (SOS) client developed to integrate dynamic geospatial data from meteorological sensors, on a grid-based risk management decision support system. The present work is part of the CROSS-Fire project, which uses forest fires as the main case study and the FireStation application to simulate fire spread. The meteorological data is accessed through the SOS standard from Open Geospatial Consortium (OGC), using the Observations and Measurements (O&M) standard encoding format. Since the SOS standard was not designed to directly access sensors, we developed an interface application to load the SOS database with observations from a Vantis Weather Station (WS). To integrate the SOS meteorological data into the FireStation, the developed SOS client was embedded on a Web Processing Service (WPS) algorithm. This algorithm was designed to be functional and fully compliant with SOS, SensorML, and O&M standards from OGC. With minor modifications to the developed SOS database interface, the SOS client works with any WS. This client supports spatial and temporal
filters, including the integration of dynamic data from satellites into FireStation, as described.Fundação para a Ciência e a Tecnologia (FCT
