The direct impacts of climate change involve a multitude of phenomena, including rising sea
levels, intensified severe weather events such as droughts and flooding, increased …

Recent wildfire outbreaks around the world have prompted concern that climate change is
increasing fire incidence, threatening human livelihood and biodiversity, and perpetuating …

Artificial intelligence has been applied in wildfire science and management since the 1990s,
with early applications including neural networks and expert systems. Since then, the field …

Levels of fire activity and severity that are unprecedented in the instrumental record have
recently been observed in forested regions around the world. Using a large sample of daily …

Climate change increases fire-favorable weather in forests, but fire trends are also affected
by multiple other controlling factors that are difficult to untangle. We use machine learning to …

Abstract The recent bushfires (2019–2020) in New South Wales (NSW) Australia were
catastrophic by claiming human and animal lives, affecting ecosystems, destroying …

This paper proposes a strategy for managing wildfire risks and preventing blackouts using
microgrids. To demonstrate this approach, not seen in previous literature, we use the power …

The identification of fire causes and characteristics is of fundamental importance to better
understand fire regimes and drivers. Particularly for Brazil, there is a gap in the quantification …

Fire regimes are changing across the globe in response to complex interactions between
climate, fuel, and fire across space and time. Despite these complex interactions, research …

There is an imperative for fire agencies to quantify the potential for prescribed burning to
mitigate risk to life, property and environmental values while facing changing climates. The …