A review of machine learning applications in wildfire science and management
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 …
with early applications including neural networks and expert systems. Since then, the field …
Human-caused fire occurrence modelling in perspective: a review
S Costafreda-Aumedes, C Comas… - International Journal of …, 2017 - CSIRO Publishing
The increasing global concern about wildfires, mostly caused by people, has triggered the
development of human-caused fire occurrence models in many countries. The premise is …
development of human-caused fire occurrence models in many countries. The premise is …
Forest fire susceptibility modeling using a convolutional neural network for Yunnan province of China
G Zhang, M Wang, K Liu - International Journal of Disaster Risk Science, 2019 - Springer
Forest fires have caused considerable losses to ecologies, societies, and economies
worldwide. To minimize these losses and reduce forest fires, modeling and predicting the …
worldwide. To minimize these losses and reduce forest fires, modeling and predicting the …
A hybrid artificial intelligence approach using GIS-based neural-fuzzy inference system and particle swarm optimization for forest fire susceptibility modeling at a …
This paper proposes and validates a novel hybrid artificial intelligent approach, named as
Particle Swarm Optimized Neural Fuzzy (PSO-NF), for spatial modeling of tropical forest fire …
Particle Swarm Optimized Neural Fuzzy (PSO-NF), for spatial modeling of tropical forest fire …
Performance evaluation of machine learning methods for forest fire modeling and prediction
Predicting and map** fire susceptibility is a top research priority in fire-prone forests
worldwide. This study evaluates the abilities of the Bayes Network (BN), Naïve Bayes (NB) …
worldwide. This study evaluates the abilities of the Bayes Network (BN), Naïve Bayes (NB) …
Testing a new ensemble model based on SVM and random forest in forest fire susceptibility assessment and its map** in Serbia's Tara National Park
The main objectives of this paper are to demonstrate the results of an ensemble learning
method based on prediction results of support vector machine and random forest methods …
method based on prediction results of support vector machine and random forest methods …
A novel ensemble modeling approach for the spatial prediction of tropical forest fire susceptibility using LogitBoost machine learning classifier and multi-source …
A reliable forest fire susceptibility map is a necessity for disaster management and a primary
reference source in land use planning. We set out to evaluate the use of the LogitBoost …
reference source in land use planning. We set out to evaluate the use of the LogitBoost …
Investigation of general indicators influencing on forest fire and its susceptibility modeling using different data mining techniques
Forests are living dynamic systems and these unique ecosystems are essential for life on
earth. Forest fires are one of the major environmental concerns, economic, and social in the …
earth. Forest fires are one of the major environmental concerns, economic, and social in the …
Spatio-temporal analysis of forest fire events in the Margalla Hills, Islamabad, Pakistan using socio-economic and environmental variable data with machine learning …
Most forest fires in the Margalla Hills are related to human activities and socioeconomic
factors are essential to assess their likelihood of occurrence. This study considers both …
factors are essential to assess their likelihood of occurrence. This study considers both …
A machine learning framework for multi-hazards modeling and map** in a mountainous area
This study sought to produce an accurate multi-hazard risk map for a mountainous region of
Iran. The study area is in southwestern Iran. The region has experienced numerous extreme …
Iran. The study area is in southwestern Iran. The region has experienced numerous extreme …