GIS-Based Forest Fire Risk Model: A Case Study in Laoshan National Forest Park, Nanjing
Remote Sensing, 2021 Fire risk prediction is significant for fire prevention and fire resource allocation. Fire risk maps are effective methods for quantifying regional fire risk.
Pengcheng Zhao +3 more
doaj +4 more sources
Fire Risk Assessments of Informal Settlements Based on Fire Risk Index and Bayesian Network. [PDF]
Int J Environ Res Public Health, 2022 The specific risk assessment of informal settlements (IS) is important for the management of IS and protection of environmental safety and public health.
Hu J +5 more
europepmc +2 more sources
A Novel Fire Risk Assessment Approach for Large-Scale Commercial and High-Rise Buildings Based on Fuzzy Analytic Hierarchy Process (FAHP) and Coupling Revision. [PDF]
Int J Environ Res Public Health, 2021 In recent years, much more emphasis than before has been placed on fire safety regulations by the local and central authorities of China, which makes fire risk assessments more important.
Wang Y, Hou L, Li M, Zheng R.
europepmc +2 more sources
Fire Risk Assessment Models Using Statistical Machine Learning and Optimized Risk Indexing
Applied Sciences, 2020 It is very difficult for us to accurately predict occurrence of a fire. But, this is very important to protect human life and property. So, we study fire hazard prediction and evaluation methods to cope with fire risks.
Myoung-Young Choi, Sunghae Jun
doaj +3 more sources
Mapping Forest Fire Risk—A Case Study in Galicia (Spain)
Remote Sensing, 2020 The optimization of forest management in roadsides is a necessary task in terms of wildfire prevention in order to mitigate their effects. Forest fire risk assessment identifies high-risk locations, while providing a decision-making support about ...
Ana Novo +2 more
exaly +2 more sources
FireRisk: A Remote Sensing Dataset for Fire Risk Assessment with Benchmarks Using Supervised and Self-supervised Learning [PDF]
International Conference on Digital Image Computing: Techniques and Applications, 2023 In recent decades, wildfires have caused tremendous property losses, fatalities, and extensive damage to forest ecosystems. Inspired by the abundance of publicly available remote sensing projects and the burgeoning development of deep learning in ...
Shuchang Shen +3 more
semanticscholar +1 more source
Factors Contributing to Increased Building Fire Incidents in Sri Lanka [PDF]
Safety & Fire Technology, 2023 Aim: Despite the existence of established fire codes, the frequency of building fires in Sri Lanka has been on the rise in recent years. The primary objective of building codes is to ensure minimum acceptable fire safety standards in buildings, but ...
Nalaka Prasanna Jayarathna Liyanapeli +3 more
doaj +1 more source
Forest Fire Risk Prediction Based on Stacking Ensemble Learning for Yunnan Province of China
Fire, 2023 Forest fire risk prediction is essential for building a forest fire defense system. Ensemble learning methods can avoid the problem of difficult model selection for disaster susceptibility prediction and can significantly improve modeling accuracy.
Yanzhi Li +4 more
semanticscholar +1 more source
Wildland–Urban Interface: Definition and Physical Fire Risk Mitigation Measures, a Systematic Review
Fire, 2023 Due to the associated fire risk, the wildland–urban interface (WUI) has drawn the attention of researchers and managers from a range of backgrounds.
Flavio Taccaliti +3 more
semanticscholar +1 more source
Thermal Infrared Video Stabilization for Aerial Monitoring of Active Wildfires
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Measuring wildland fire behavior is essential for fire science and fire management. Aerial thermal infrared (TIR) imaging provides outstanding opportunities to acquire such information remotely. Variables such as fire rate of spread (ROS), fire radiative
Mario Miguel Valero +8 more
doaj +1 more source