Southwest Wildfire Scenario

The scenario was used for the main demonstration of OWS-3 Testbed. A movie and flash demos of the OWS-3 Demo are available.

A fire monitoring facility in Southern California receives notification of a probable fire on the outskirts of a hypothetical community in the hills surrounding the Los Angeles basin. Its origin is unknown, but it has impinged upon a variety of industrial facilities. Recognizing the risk that the resulting plume may contain toxic components in addition, the professionals act quickly to find and deploy resources to track the plume and evaluate its composition, as well as to support the response effort.

The Demo Scenes are summarized below. Additional information including a list of components, data, schemas, etc. utilized in this scenario are available in the OWS-3 Detailed Script document

  • Demo Scene 1 – Alert/Notification, Establish COP
  • Initial notification that a potential fire has been spotted. Establish a geospatial Common Operational Picture. Coordinate activities in the Emergency Response Center.

    Objective: Demonstrate the results of the SAS Interoperability Experiment in the context of other mature OGC Web services. Demonstrate the ability for multiple clients to share common data sources and display the data in a role specific way.

  • Demo Scene 2 – Prepare to Deploy – Identify supporting resources
  • Identify additional resources available to support the response.

    Objective: Demonstrate the ability to discover additional resources that can be leveraged in the emergency response effort.

  • Demo Scene 3 – Plan the Deployment
  • Query sensors to determine readiness. Identify risks and mitigate risks. Task sensor assets. Plan routes of ingress and egress for the ERT. Deploy the ERT.

    Objective: Demonstrate the ability to take an ad-hoc collection of resources to gain situational awareness and to use that data to support ground operations.

  • Demo Scene 4 – Field Activities
  • Objective: Demonstrate the ability to support users in the field. Demonstrate the ability to receive video from mobile assets, sensor data from mobile assets and to discover and make use of unanticipated sensor assets through standardized interfaces.