DLR's optical 3K camera system is integrated into the research aircraft D-CODE, a modified Dornier Do228 with a digital autopilot, which will be operated as a remotely piloted vehicle (RPV) during the selected trials. The flight path planning and remote control will be executed by the ground control station U-Fly, which is connected to the RPV using a data link for command, control, and communication (C3). The RPV will provide aerial images and send the data over a separate payload data link to the ground system. Based on the aerial images and additional data, information layers relevant for crisis management will be derived and provided as geowebservices and map products using the resources of the ZKI- . KeepOperational will combine the derived information layers, together with data from terrestrial traffic sensor. KeepOperational is an extension to the DLR Traffic Data Platform. The Traffic Data Platform consists of a set of services for processing and analysis of traffic data. In combination with the information layers obtained from aerial imagery, KeepOperational provides traffic analysis and route planning capabilities on infrastructure, affected by a crisis.
Supported Use Cases
Accessing Remote Sensing Based Situation Analyses Products
To get an overview of an area that is affected by a crisis and build situational awareness, an organization can access information products on disaster extent and potentially affected areas, people, buildings and infrastructure derived from remote sensing data (e.g. flood mask, digital 2D/3D map).
Related CM functions
Planning of crisis response actions
To plan the setup of my base of operation, it is helpful to have an overview of the covered operation area and the possible response times in this area. Furthermore to plan the dispatching of rescue vehicles, a routing tool which incorporates the current status of the infrastructure (based on the available information) is required. Blockades can be entered to specify unusable parts of the infrastructure.
Related CM functions
Remote Sensing for Disaster Overview
To get a quick overview of an area that is affected by a crisis and build situational awareness, an organisation can use remote sensing data. Aerial images are displayed in a map display in near real-time and enable the operator to get a fast overview, react purposefully, and ensure that images of the whole crisis area are collected. This can be achieved by flight path adaptation during the flight.