Improved operation flood intelligence for NSW.

The Challenge

In the Western catchments of NSW flood events can stretch for weeks and months as the flood wave travels downstream. From the perspective of emergency management this means there is a large uncertainty in where and when resources will be required. To respond better, emergency services need more data on the flood rate of rise and of the critical flood levels. In addition, uncertainties on this information is also needed on a easily-interpretable schematic diagram.

The Solution

This project will provide a proof of concept in using machine learning methods to provide extra flood intelligence to the NSW State Emergency Service based on a data from a range of sensors. Partnering with Schematic Intelligence, this data will also be built into a live schematic for response planners. Machine learning methods have been implemented in similar cases like this, but have seen constrained effectiveness due to the availability of the data to train them. This project will look carefully on using relevant flood data, and also incorporate other sources including near real-time optical satellite data.

Industry Partner

University Partners