The SSSI's DMR-SIG Maxar Spatial Challenge focuses on bushfire preparedness.
During bushfires, firefighters often have difficulty sourcing water. There may not be enough water in the mains to fight a major bushfire. Static water supplies, such as swimming pools, tanks and dams, are vital sources of water for firefighters.
This Maxar Spatial Challenge projects seeks to use AI and machine-learning techniques to detect static water supplies to assist firefighting efforts. The water infrastructure is one of Australia’s essential fundamental geospatial datasets, however the data is difficult to maintain and is lacking in some critical features, such as water tanks. This challenge is to develop techniques to enable regular updating of the static water supply infrastructure using AI and machine-learning training data.
This proposal aims to identify and map the static water supply infrastructure using Maxar’s high resolution imagery. The location of the static water supply (SWS) is crucial to firefighting.
Once collected, the location of water tanks will be incorporated into an easily accessible real-time water asset management system for use during a fire emergency. This system, under development by the Grow Data foundation (Not For Profit), uses low cost long range radio technology and open GIS mapping (OpenStreetMap) to help the rural fire service organisations prepare for and manage water supply issues by installing water sensors on tanks to let firefighters know where the tanks are, and how much water is in them. To be effective, this application requires the location of static water features to be mapped.
NGIS Australia is working with SSSI to complete the Challenge.