End User representatives
Government agencies, individuals and businesses need accurate spatial information on fire hazard to prevent, avoid and manage impacts. Bushfire hazard depends not only on weather but also on landscape conditions.
In Australia, fire hazard monitoring involves fire danger indices that consider mainly meteorological conditions, although a simple algorithm is used in the MacArthur Forest Fire Danger Index to calculate the ‘Drought Factor Value’ from antecedent weather data, intended as a rough estimate of litter moisture content.
To date, there has not been much emphasis on routinely providing and using spatial information on landscape-related hazard factors in determining fire risk. Partly, this is because of a lack of reliable, consistent, accurate and long-term information. This situation is changing, however. Several relevant satellite, airborne and mapping derived products and prediction models are now readily available to estimate important landscape variables that determine fire hazard.
This project is developing methods to produce the spatial information on critical aspects of fire hazard including fuel load and flammability. This is needed by planners, land managers and emergency services. The relevance and added value represented by these new information sources will be compared to the practical feasibility and costs of their use.
|2015||Journal Article||Global vegetation gross primary production estimation using satellite-derived light-use efficiency and canopy conductance. Remote Sensing of Environment 163, 206-216 (2015)..|
|2015||Presentation||Mapping bushfire hazard and impact. (2015).|
|2015||Report||Using LiDAR for forest and fuel structure mapping: options, benefits, requirements and costs. (Bushfire and Natural Hazards CRC, 2015).|
|2015||Report||Mapping Bushfire Hazard and Impacts Annual Report 2014. (2015).|
|2015||Report||Mapping bushfire hazard and impacts: Annual project report 2014-2015. (Bushfire and Natural Hazards CRC, 2015).|
|2015||Report||A model-data fusion framework for estimating fuel properties, vegetation growth, carbon storage and the water balance at hillslope scale. (2015).|
A good understanding of fire risk across the landscape is critical in preparing and responding to bushfire events and managing fire regimes, and this will be enhanced by remote sensing data. However, the vast array of spatial data sources available is not being used very effectively in fire management.
This project uses cutting edge technology and imagery to produce spatial information on fire hazard and impacts needed by planners, land managers and emergency services to effectively manage fire at landscape scales
Australia is a dry continent, with high climate variability, and is continually vulnerable to natural hazards like bushfires. to better evaluate and reduce the risk of bushfires, fire management agencies and land managers need timely, accurate and spatially explicit understorey fuel metrics along with climatic and other spatial topographical information. The Light detection and ranging (LiDAR) data and technology is a proven alternative to traditionally time consuming and labour intensive fuel assessment methods.
|Mapping bushfire hazard and impacts||Prof Albert van Dijk||Australian National University|
|Disaster landscape attribution: fire surveillance and hazard mapping, data scaling and validation||Prof Simon Jones||RMIT University|
|Improving flood forecast skill using remote sensing data||Assoc Prof Valentijn Pauwels||Monash University|
|Fire spread prediction across fuel types||Prof Graham Thorpe||Victoria University|