Abstract: Systems and methods for assessing the resilience of an infrastructural system. The system includes a computer program product stored on non-transitory machine-readable media. The media includes machine executable instructions for implementing a method for assessing the resilience of an infrastructural system. The method includes receiving, from an interface, scenario specific data regarding conditions for the infrastructural system; processing the scenario specific data to determine a vulnerability metric for a probability of failure for a component of the infrastructural system; determining, based on the vulnerability metric, an in-situ failure risk of the infrastructural system incorporating a complexity of environmental conditions; determining, based on the vulnerability metric, a recommended maintenance task for the component of the infrastructural system; and providing the in-situ failure risk of the infrastructural system and the recommended maintenance task for the component to the interface.

Abstract: A system and method to generate flood inundation maps in near real time. The system includes a plurality of computer processing modules: a flood trigger system, a SAR data query system, and a RAPID kernel algorithm system, running in real time, to identify the potential flood zones, query SAR data, and finally compute the inundation maps, respectively. As disclosed herein, the RAPID kernel algorithm is extended to a fully automated flood mapping system that requires no human interference from the initial flood events discovery to the final flood map production.

Abstract: Methods and systems for damage assessment and restoration. One system includes an electronic processor configured to receive weather data for an area of interest. The electronic processor is also configured to determine a first damage prediction for the area of interest using a damage prediction model developed with machine learning using training data, the training data including historical weather data for the area of interest and associated damage. The electronic processor is also configured to determine a restoration time estimate based on the first damage prediction for the area of interest based on different resource allocations. The electronic processor is also configured to transmit a damage assessment report for display on a user device, where the damage assessment report includes the restoration time estimate.

Abstract: A system and method for outage prediction for electrical distribution utilities using high-resolution weather forecasts, geographic data (e.g., land use and vegetation around overhead-lines) and utility infrastructure data (e.g., transformer fuses, etc.) to predict distributed outage occurrences (e.g., number of outages over a 2-km gridded map) in advance of a storm.

Abstract: A system and method to generate flood inundation maps in near real time. The system includes a plurality of computer processing modules: a flood trigger system, a SAR data query system, and a RAPID kernel algorithm system, running in real time, to identify the potential flood zones, query SAR data, and finally compute the inundation maps, respectively. As disclosed herein, the RAPID kernel algorithm is extended to a fully automated flood mapping system that requires no human interference from the initial flood events discovery to the final flood map production.

Abstract: Methods and systems for damage assessment and restoration. One system includes an electronic processor configured to receive weather data for an area of interest. The electronic processor is also configured to determine a first damage prediction for the area of interest using a damage prediction model developed with machine learning using training data, the training data including historical weather data for the area of interest and associated damage. The electronic processor is also configured to determine a restoration time estimate based on the first damage prediction for the area of interest based on different resource allocations. The electronic processor is also configured to transmit a damage assessment report for display on a user device, where the damage assessment report includes the restoration time estimate.

Abstract: A system and method for outage prediction for electrical distribution utilities using high-resolution weather forecasts, geographic data (e.g., land use and vegetation around overhead-lines) and utility infrastructure data (e.g., transformer fuses, etc.) to predict distributed outage occurrences (e.g., number of outages over a 2-km gridded map) in advance of a storm.