Technology
Our technology brings together expertise, workflows, science and data with modern cloud computing capabilities.
This technology is the engine for the production of data and information to support bushfire related decisions at all scales down to the individual asset.
The team works with expert partners from a range of areas across Australia to provide and develop models for blending an array of spatial and non-spatial data into nationally harmonised information products.
Expertise – Emergency management, land use planning, land management, technology, science, research, data science (Cloud compute engineers, Data engineers, Modellers, Research scientists, Land managers, Planners)
Our team compiles the data and workflows to produce bushfire related outputs that are tailored to user needs.
Our use cases demonstrate application for a range of stakeholders extending from localised asset analysis and land use planning through to future use cases in national reporting, and program and policy development.
Data and workflows – library of reusable data, models and algorithms (baseline and intermediate input data feed into baseline and intermediate data and workflows, these feed into national spatial data workflows, and then into nationally consistent data layers for fuel load, slope and climate adjusted fire weather, these feed into bushfire intensity potential workflows, which deliver bushfire intensity potential maps).
We are developing a powerful cloud-based digital science engine (using EASI* in conjunction with other digital platforms and applications, e.g., Amazon Web Services S3, Cogboard, OpenLayers) to enable the rapid co-development, testing and delivery of nationally consistent data products and associated services relevant at all scales down to the individual asset.
Cloud science engine – on-demand data production and delivery at scale using cloud based storage, analysis and delivery (Scalable workflow execution engine (EASI and others), Data available on cloud storage (Amazon Web Services S3), Experimental compute, Authentication and user management, Data Delivery)
The NBIC Council provides an authorising environment for data ingestion and supply, along with oversight of the standards and models used within the system. The NBIC Council also help to determine priorities and drive the direction for future work programs.
A graphic that shows people working together with data on maps, computers and devices.
The EASI platform is a unique offering in the Geospatial/Earth Observation analysis space
Earth Analytics Science and Innovation Hub (EASI)
The National Bushfire Intelligence Capability uses CSIRO’s Earth Analytics Science and Innovation Hub (EASI). EASI is designed as a Science-as-a-Service platform to support scalability and improve our connection to innovative science and the public and private sectors, both nationally and abroad. EASI facilitates NBIC’s big data ingestion, integration, processing and modelling capabilities, which in turn provide users with analytical and decision-support capabilities, quickly and reliably.
Project outputs
Delivered: Stage 1 (January 2021 to November 2022)
- Bushfire hazard and risk modelling workflows developed using consistent data, models and assumptions with local preference (return periods, climate model assumptions and timeframes) that can be re-run.
- A cloud-based system to: i) run the modelling workflows; and ii) make draft data products accessible to the NBIC Council, the National Emergency Management Agency and the Australian Climate Service.
- Establishment of an effective governance system with broad agency representation that focuses on valued customer input to determine the priority products to be produced into the future.
Planned: Stage 2 (May 2023 to June 2025)
- Expanded governance systems to enable further connections of science-informed information about bushfire risk and hazard with policy and decision makers.
- Ongoing improvement of assumptions, equations and systems related to bushfire hazard and risk estimation within the context of climate change.
- Ability to process diverse data inputs including authoritative, informal and bespoke datasets to explore, create and test novel and emerging data inputs and approaches.
- Automated workflows for the provision of high-resolution Australian Fire Danger Rating Service-aligned, seasonally updated, current fuel state mapping products.