Autonomous unmanned aerial vehicles in bushfire management: Challenges and opportunities

S Partheepan, F Sanati, J Hassan - Drones, 2023 - mdpi.com
The intensity and frequency of bushfires have increased significantly, destroying property
and living species in recent years. Presently, unmanned aerial vehicle (UAV) technology …

Cloud Computing in natural hazard modeling systems: Current research trends and future directions

KC Ujjwal, S Garg, J Hilton, J Aryal… - International Journal of …, 2019 - Elsevier
Every year, natural disasters cause major loss of human life, damage to infrastructure and
significant economic impact on the areas involved. Geospatial Scientists aim to help in …

Machine learning–based observation-constrained projections reveal elevated global socioeconomic risks from wildfire

Y Yu, J Mao, SD Wullschleger, A Chen, X Shi… - Nature …, 2022 - nature.com
Reliable projections of wildfire and associated socioeconomic risks are crucial for the
development of efficient and effective adaptation and mitigation strategies. The lack of or …

Our future world: Global megatrends impacting the way we live over coming decades

C Naughtin, S Hajkowicz, E Schleiger, A Bratanova… - 2022 - mpra.ub.uni-muenchen.de
Megatrends are trajectories of change that typically unfold over years or decades and have
the potential for substantial and transformative impact. CSIRO released its seminal global …

A near real-time web-system for predicting fire spread across the Cerrado biome

U Oliveira, B Soares-Filho, H Rodrigues, D Figueira… - Scientific Reports, 2023 - nature.com
Wildfires are aggravating due to climate change. Public policies need territorial intelligence
to prevent and promptly fight fires, especially in vast regions like Brazil. To this end, we have …

The 10% wind speed rule of thumb for estimating a wildfire's forward rate of spread in forests and shrublands

MG Cruz, ME Alexander - Annals of Forest Science, 2019 - Springer
Key message The collective analysis of a relatively large number of wildfire observations
documented in conifer forests, dry eucalypt forests and temperate shrublands revealed that …

Evidence for lack of a fuel effect on forest and shrubland fire rates of spread under elevated fire danger conditions: implications for modelling and management

MG Cruz, ME Alexander… - International journal of …, 2022 - CSIRO Publishing
The suggestion has been made within the wildland fire community that the rate of spread in
the upper portion of the fire danger spectrum is largely independent of the physical fuel …

An open multi-physics framework for modelling wildland-urban interface fire evacuations

E Ronchi, SMV Gwynne, G Rein, P Intini, R Wadhwani - Safety science, 2019 - Elsevier
Fire evacuations at wildland-urban interfaces (WUI) pose a serious challenge to the
emergency services, and are a global issue affecting thousands of communities around the …

An empirical-based model for predicting the forward spread rate of wildfires in eucalypt forests

MG Cruz, NP Cheney, JS Gould… - … journal of wildland …, 2021 - CSIRO Publishing
Reliable and accurate models of the speed of a wildfire front as it moves across the
landscape are essential for the timely prediction of its propagation, to devise suitable …

A cloud-based framework for sensitivity analysis of natural hazard models

KC Ujjwal, S Garg, J Hilton, J Aryal - Environmental Modelling & Software, 2020 - Elsevier
Computational models for natural hazards usually require a large number of input
parameters that affect the model outcome in a complex manner. The sensitivity of the input …