Aerial-Satellite Optical Property Damage Mapping with Vulnerability Curves

The system segments the damage assessment process into distinct functional modules: image capture by remote sensors, digital imagery processing, footprint generation by the core engine, vulnerability curve application, and damage calculation. This modular segmentation allows each component to be optimized independently while maintaining high measurement precision through specialized processing at each stage.

The patent introduces digital imagery as an intermediary medium between the physical catastrophe event and the damage assessment results. The optical sensors capture digital imagery that serves as a mediator, allowing complex physical damage patterns to be translated into processable data formats. The core engine then uses this intermediary digital representation to generate footprints and apply vulnerability curves, resolving the complexity through standardized data transformation.

The system performs preliminary actions by pre-establishing vulnerability curves that encode damage relationships for different hazard types and property characteristics. These curves are prepared in advance and stored in the core engine, allowing rapid damage estimation during actual catastrophe events without requiring complex real-time calculations. Location data and property information are also pre-processed and matched to appropriate vulnerability models before the event occurs, enabling quick application when imagery is received.

The patent transforms complex physical damage assessment into parameter-based calculations using vulnerability curves that relate hazard intensity parameters to damage outcomes. By changing the assessment from direct physical measurement to parameter-based modeling, the system achieves rapid processing through mathematical relationships rather than complex image analysis, significantly reducing computation time while maintaining accuracy.

The system creates digital copies of physical properties and damage states through aerial and satellite imagery. Instead of directly measuring physical damage on the ground, the system captures optical copies (images) of the affected areas and processes these digital representations. The core engine generates footprint copies that represent the spatial extent and intensity of the catastrophe, which are then overlaid with property location data to assess damage without requiring physical inspection of each damaged object.

The patent implements a universal vulnerability curve framework that can be applied across multiple hazard types (floods, hurricanes, wildfires, etc.) and different property categories. This universal approach allows the same core engine and methodology to handle diverse damage scenarios, reducing the need for hazard-specific detection algorithms and simplifying the overall measurement process while maintaining reliability through standardized assessment procedures.