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Trending and emerging prospects of physics-based and ML-based wildfire spread models: A comprehensive review
The significant threat of wildfires to forest ecology and biodiversity, particularly in tropical
and subtropical regions, underscores the necessity for advanced predictive models amidst …
and subtropical regions, underscores the necessity for advanced predictive models amidst …
Wildfire risk prediction: A review
Z Xu, J Li, S Cheng, X Rui, Y Zhao, H He… - ar** using a hierarchical approach with machine learning and satellite imagery
Remote sensing of forests is a powerful tool for monitoring the biodiversity of ecosystems,
maintaining general planning, and accounting for resources. Various sensors bring together …
maintaining general planning, and accounting for resources. Various sensors bring together …
New forest fire assessment model based on artificial neural network and analytic hierarchy process or fuzzy-analytic hierarchy process methodology for fire …
Forest fires significantly disrupt global ecosystems. Many forecasting techniques predict fire
activity and allocate prevention resources, but various factors are missing from the …
activity and allocate prevention resources, but various factors are missing from the …
Physics-informed neural networks for parameter learning of wildfire spreading
Wildland fires pose a terrifying natural hazard, underscoring the urgent need to develop data-
driven and physics-informed digital twins for wildfire prevention, monitoring, intervention …
driven and physics-informed digital twins for wildfire prevention, monitoring, intervention …
[HTML][HTML] A Forest Fire Prediction Model Based on Meteorological Factors and the Multi-Model Ensemble Method
S Choi, M Son, C Kim, B Kim - Forests, 2024 - mdpi.com
More than half of South Korea's land area is covered by forests, which significantly increases
the potential for extensive damage in the event of a forest fire. The majority of forest fires in …
the potential for extensive damage in the event of a forest fire. The majority of forest fires in …
Wildfire Risk Mitigation through Systems Analysis of the Planetary Emergency
Recognizing wildfires as a multiscale planetary emergency, this paper describes a systems
analysis of technology countermeasures, with special attention to Sicily, California, and …
analysis of technology countermeasures, with special attention to Sicily, California, and …
[HTML][HTML] Fire-Image-DenseNet (FIDN) for predicting wildfire burnt area using remote sensing data
Predicting the extent of massive wildfires once ignited is essential to reduce the subsequent
socioeconomic losses and environmental damage, but challenging because of the …
socioeconomic losses and environmental damage, but challenging because of the …
[HTML][HTML] Machine Learning and Deep Learning for Wildfire Spread Prediction: A Review
The increasing frequency and intensity of wildfires highlight the need to develop more
efficient tools for firefighting and management, particularly in the field of wildfire spread …
efficient tools for firefighting and management, particularly in the field of wildfire spread …
[HTML][HTML] Enhancing prediction of wildfire occurrence and behavior in Alaska using spatio-temporal clustering and ensemble machine learning
Wildfires are an integral part of Alaska's ecological landscape, sha** its boreal forests and
tundra. However, recent shifts in wildfire frequency, intensity, and seasonality pose …
tundra. However, recent shifts in wildfire frequency, intensity, and seasonality pose …