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Forest fire surveillance systems: A review of deep learning methods. [PDF]
Heliyon, 2023 This review aims to critically examine the existing state-of-the-art forest fire detection systems that are based on deep learning methods. In general, forest fire incidences bring significant negative impact to the economy, environment, and society. One
Saleh A +5 more
europepmc +2 more sources
Forest fire size amplifies postfire land surface warming. [PDF]
NatureClimate warming has caused a widespread increase in extreme fire weather, making forest fires longer-lived and larger1–3. The average forest fire size in Canada, the USA and Australia has doubled or even tripled in recent decades4,5.
Zhao J +9 more
europepmc +2 more sources
Ecological Indicators, 2021 Forest fire disaster is currently the subject of intense research worldwide. The development of accurate strategies to prevent potential impacts and minimize the occurrence of disastrous events as much as possible requires modeling and forecasting severe
Meriame Mohajane +2 more
exaly +2 more sources
Identifying Forest Fire Driving Factors and Related Impacts in China Using Random Forest Algorithm
Forests, 2020 Reasonable forest fire management measures can effectively reduce the losses caused by forest fires and forest fire driving factors and their impacts are important aspects that should be considered in forest fire management.
Wenyuan, Zhongke Feng, Shilin Chen
exaly +2 more sources
An Improved Forest Fire Detection Method Based on the Detectron2 Model and a Deep Learning Approach
Italian National Conference on Sensors, 2023 With an increase in both global warming and the human population, forest fires have become a major global concern. This can lead to climatic shifts and the greenhouse effect, among other adverse outcomes.
A. Abdusalomov +4 more
semanticscholar +1 more source
Fire, 2023 Large forest fires can cause significant damage to forest ecosystems and threaten human life and property. Heilongjiang Province is a major forested area in China with the highest number and concentration of lightning-caused forest fires in the country ...
Qiangying Jiao +5 more
semanticscholar +1 more source
Applied Sciences, 2021 The study of the short-term post-burn tree growth in a mixed stand of Pinus nigra and Pinus pinaster and in a pure stand of P. nigra in the Cuenca Mountains (Spain) will enable us to determine the disturbance of prescribed burning conducted in two ...
Juncal Espinosa +5 more
doaj +1 more source
A Forest Fire Detection System Based on Ensemble Learning
Forests, 2021 Due to the various shapes, textures, and colors of fires, forest fire detection is a challenging task. The traditional image processing method relies heavily on manmade features, which is not universally applicable to all forest scenarios.
Renjie Xu +4 more
semanticscholar +1 more source
ARE FOREST FIRES PREDICTABLE? [PDF]
International Journal of Modern Physics C, 2002 Dynamic mean field theory is applied to the problem of forest fires. The starting point is the Monte Carlo simulation in a lattice of a million cells. The statistics of the clusters is obtained by means of the Hoshen–Kopelman algorithm. We get the map pn → pn + 1, where pn is the probability of finding a tree in a cell, and n is the discrete time.
Malarz, K. +2 more
openaire +2 more sources
A review of the effects of forest fire on soil properties
Journal of Forest Research, 2022 Forest fires are key ecosystem modifiers affecting the biological, chemical, and physical attributes of forest soils. The extent of soil disturbance by fire is largely dependent on fire intensity, duration and recurrence, fuel load, and soil ...
A. A. Agbeshie +3 more
semanticscholar +1 more source