@article {bnh-8337, title = {Estimating fuel moisture and fire history from Sentinel 2 satellite imagery - Black Summer final report}, year = {2022}, month = {04/2022}, institution = {Bushfire and Natural Hazards CRC}, address = {Melbourne}, abstract = {

The Department of Fire and Emergency Services (DFES), the Department of Biodiversity, Conservation and Attractions (DBCA), the Australian National University (ANU) and Murdoch University have a project entitled {\textquotedblleft}Quantifying seasonal variation in live fuel moisture content, fuel dynamics and the effects of the mosaic of prescribed burning on fire behaviour in near-urban coastal vegetation mosaic{\textquotedblright}

Fuel moisture is a key factor affecting the flammability, fire behaviour,\ damage potential and suppression difficulty of bushfires, and it is an input to fire danger rating and fie behaviour prediction systems.

While there are well-developed models that predict the moisture\ content of dead fuels such as cured grass and forest litter, no models or methods exist for predicting or effectively measuring the\ moisture content of predominately live fuels, such as the shrublands\ of SW-WA.

Within this larger project, Landgate, with the above partners have been working on a sub-project to provide DFES and DBCA with Sentinel 2 satellite imagery derived datasets, aiming to provide an improved capability to understand changes in fuel moisture within the coastal shrubland region, along with a detailed fire history\ spanning\  2016 to June 2021.

}, issn = {727}, author = {Allen, Adrian} } @conference {bnh-6523, title = {Utilisation of fire spread simulators to assess power network fire risk }, booktitle = {AFAC19 powered by INTERSCHUTZ - Bushfire and Natural Hazards CRC Research Forum}, year = {2019}, month = {12/2019}, publisher = {Australian Institute for Disaster Resilience}, organization = {Australian Institute for Disaster Resilience}, address = {Melbourne}, abstract = {

Western Power is a Western Australian State Government owned power network and energy corporation. In 2013, an external review commissioned by Western Power, recommended the development of an improved bushfire risk map for the network based on the consequences of potential network bushfire ignitions. In response to the review Western Power entered into a joint collaboration with the Department of Fire and Emergency Services (DFES) and Landgate to develop a multiple ignition point based bushfire risk analysis product suitable for use on the power network across the south west of Western Australia.

The objective of this project is to assist Western Power in prioritising their asset renewal and maintenance budget to ensure they{\textquoteright}ve addressed sites with the highest potential consequences, realising better public safety out-comes. The utilisation of the fire spread simulator system Aurora, to model the consequences of a bushfire ignition from power poles and wires has been investigated to provide this intelligence. Western Power maintains approximately 800,000 power poles within the south west of Western Australia. The development of an appropriate methodology to provide the required intelligence for the prioritisation of appropriate asset renewal and maintenance implementation programs in response to the risk of bushfire ignition, has proven to be challenging.

Aurora is a web-based bushfire spread prediction system that simulates the probable direction, intensity and rate of bushfire spread. The simulator considers ignition location, vegetation, time of last burn, fuel accumulation models, forecasted weather, drought factor, grassland curing and slope to calculate fire behaviour and spread. For this project, the simulator architecture uses 99.5th percentile Forest Fire Danger Index (FFDI) weather conditions for each of the 8 cardinal wind directions to produce 6 million fire spread
simulations. These simulations together with a building location dataset are used to estimate asset numbers that could potentially be impacted by a fire running for one hour, from each power pole. Using this methodology maintenance can be prioritised for individual power poles based on the potential impact of a bushfire caused by a fault.

The successful completion of this project will result in a welldeveloped methodology, Information Communication and Technology (ICT) system infrastructure and potential consequence datasets with the potential to utilise multiple activities and assets as potential ignition sources, therefore providing DFES with enhanced evidence-based datasets to support strategic decision making for early community warning and preparedness.

Download the full non-peer reviewed research proceedings\ from the Bushfire and Natural Hazards CRC Research Forumhere.

}, keywords = {Fire risk, prediction system, risk management, simulator, weather conditions}, url = {https://knowledge.aidr.org.au/resources/australian-journal-of-emergency-management-monograph-series/}, author = {Parker, Jackson and Allen, Adrian} }