Corrigendum to: Integrating remotely sensed fuel variables into wildfire danger assessment for China
As regulated by the 'fire environment triangle', three major forces are essential for
understanding wildfire danger:(1) topography,(2) weather and (3) fuel. Within this concept …
understanding wildfire danger:(1) topography,(2) weather and (3) fuel. Within this concept …
Improving wildfire occurrence modelling by integrating time-series features of weather and fuel moisture content
Wildfire occurrence is a non-linear process resulting from interactions between weather,
topography, fuel, and anthropogenic factors amongst others. Modelling the probability of …
topography, fuel, and anthropogenic factors amongst others. Modelling the probability of …
Projection of future wildfire emissions in western USA under climate change: contributions from changes in wildfire, fuel loading and fuel moisture
Numerous devastating air pollution events from wildfire smoke occurred in this century in the
western USA, leading to severe environmental consequences. This study projects future fire …
western USA, leading to severe environmental consequences. This study projects future fire …
Comparing calibrated statistical and machine learning methods for wildland fire occurrence prediction: A case study of human-caused fires in Lac La Biche, Alberta …
N Phelps, DG Woolford - International journal of wildland fire, 2021 - CSIRO Publishing
Wildland fire occurrence prediction (FOP) modelling supports fire management decisions,
such as suppression resource pre-positioning and the routeing of detection patrols …
such as suppression resource pre-positioning and the routeing of detection patrols …
Predicting Grassland Fire-Occurrence Probability in Inner Mongolia Autonomous Region, China
C Chang, Y Chang, Z Xiong, X Ping, H Zhang, M Guo… - Remote Sensing, 2023 - mdpi.com
Fires greatly threaten the grassland ecosystem, human life, and economic development.
However, since limited research focuses on grassland fire prediction, it is necessary to find a …
However, since limited research focuses on grassland fire prediction, it is necessary to find a …
Effects of different sampling strategies for unburned label selection in machine learning modelling of wildfire occurrence probability
The selection of unburned labels is a crucial step in machine learning modelling of wildfire
occurrence probability. However, the effect of different sampling strategies on the …
occurrence probability. However, the effect of different sampling strategies on the …
Improving Wildfire Danger Assessment Using Time Series Features of Weather and Fuel in the Great Xing'an Mountain Region, China
Wildfires directly threaten the safety of life and property. Predicting wildfires with a model
driven by wildfire danger factors can significantly reduce losses. Weather conditions …
driven by wildfire danger factors can significantly reduce losses. Weather conditions …
Using Platt's scaling for calibration after undersampling--limitations and how to address them
When modelling data where the response is dichotomous and highly imbalanced, response-
based sampling where a subset of the majority class is retained (ie, undersampling) is often …
based sampling where a subset of the majority class is retained (ie, undersampling) is often …
Prediction and driving factors of forest fire occurrence in Jilin Province, China
B Gao, Y Shan, X Liu, S Yin, B Yu, C Cui… - Journal of Forestry …, 2024 - Springer
Forest fires are natural disasters that can occur suddenly and can be very damaging,
burning thousands of square kilometers. Prevention is better than suppression and …
burning thousands of square kilometers. Prevention is better than suppression and …
[HTML][HTML] A comparative analysis of fire-weather indices for enhanced fire activity prediction with probabilistic approaches
Background Weather conditions play a crucial role in driving fire activity in Mediterranean
France. Previous research has demonstrated the influence of these conditions on the …
France. Previous research has demonstrated the influence of these conditions on the …