AIMC Topic: Wildfires

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Deep learning-based forest fire detection using an improved SSD algorithm with CBAM.

PloS one
Fires are characterized by their sudden onset, rapid spread, and destructive nature, often causing irreversible damage to ecosystems. To address the challenges in forest fire detection, including the varying scales and complex features of flame and s...

Uncovering the Influence of Land Cover and Climate Extremes on Wildfire Smoke PM in the United States Using Explainable Artificial Intelligence.

Environmental science & technology
Fine particulate matter (PM) from wildfire smoke has emerged as a significant environmental health threat in the United States (U.S.), yet the combined roles of climate extremes and land cover in shaping wildfire smoke PM exposure remain poorly under...

Fires enhanced productivity in fire-adapted subtropical pinelands of the Florida Everglades.

The Science of the total environment
Some ecosystems require regular disturbances to maintain their biological and structural diversity. However, shifts in climate and changes in land management practices have altered global fire regimes, making it challenging to determine the most effe...

Fire risk to structures in California's Wildland-Urban Interface.

Nature communications
The destructive impacts of wildfires on people, property and the environment have dramatically increased, especially in the Wildland-Urban Interface (WUI) in California. In these areas structures are threatened by both approaching flames and lofted e...

Divergent radiative forcing of fine-mode aerosols across tree genera during wildfires in North America and Europe.

Journal of hazardous materials
Rising global temperatures have escalated wildfire frequency, and the resulting fine-mode aerosol emissions pose a significant threat to the global ecosystem. However, how these emissions vary with tree genera remains largely unexplored. In this stud...

Forest fire susceptibility mapping using multi-criteria decision making and machine learning models in the Western Ghats of India.

Journal of environmental management
Forest fires have significantly increased over the last decade due to shifts in rainfall patterns, warmer summers, and long spells of dry weather events in the coastal regions. Assessment of susceptibility to forest fires has become an important mana...

Capsule neural network and adapted golden search optimizer based forest fire and smoke detection.

Scientific reports
Forest fires represent a major risk to both ecosystems and human health that rising frequency of it exacerbates global warming. This study introduces an innovative methodology for detecting forest fires and smoke using an enhanced capsule neural netw...

Spatial prediction of forest fires in India: a machine learning approach for improved risk assessment and early warning systems.

Environmental science and pollution research international
Forest fires pose a significant ecological and environmental threat globally, and India has seen a marked increase in both the frequency and severity of these events in recent years. This has led to extensive damage to natural resources, including fo...

U3UNet: An accurate and reliable segmentation model for forest fire monitoring based on UAV vision.

Neural networks : the official journal of the International Neural Network Society
Forest fires pose a serious threat to the global ecological environment, and the critical steps in reducing the impact of fires are fire warning and real-time monitoring. Traditional monitoring methods, like ground observation and satellite sensing, ...