Meta-analysis of avian and small-mammal response to fire severity and fire surrogate treatments in U.S. fire-prone forests [PDF]
Management in fire-prone ecosystems relies widely upon application of prescribed fire and/or fire surrogate (e.g., forest thinning) treatments to maintain biodiversity and ecosystem function.
Joseph B. Fontaine +3 more
core +1 more source
Eruptive Behaviour of Forest Fires [PDF]
A critical review of the mechanisms that are described in the literature to explain the onset and development of eruption or blow up in forest fires is presented, given their great relevance for fire safety, particularly in canyons. The various processes
A. Simeoni +3 more
core +1 more source
Detecting forest fire omission error based on data fusion at subpixel scale
Forest disaster fires pose a serious threat to forest resources and people's lives and property, and may also cause ecological disasters and social crises.
Haizhou Xu +6 more
doaj +1 more source
Lightweight Forest Fire Detection Algorithm Based on Receptive Field Attention [PDF]
In the field of forest fire detection, existing target detection methods based on deep learning find it difficult to achieve good results because of the complex background environment, small initial targets of the flame, irregular flame shape and ...
MA Yue, HUANG Zhourui, ZHOU Wen, XU Yihan
doaj +1 more source
Effects of post-fire logging on forest surface air temperatures in the Siskiyou Mountains, Oregon, USA [PDF]
Following stand-replacing wildfire, post-fire (salvage) logging of fire-killed trees is a widely implemented management practice in many forest types. A common hypothesis is that removal of fire-killed trees increases surface temperatures due to loss of ...
J. G. Martin +9 more
core +1 more source
A forest fire smoke detection model combining convolutional neural network and vision transformer
Forest fires seriously jeopardize forestry resources and endanger people and property. The efficient identification of forest fire smoke, generated from inadequate combustion during the early stage of forest fires, is important for the rapid detection of
Ying Zheng +5 more
doaj +1 more source
Precision-Boosted Forest Fire Target Detection via Enhanced YOLOv8 Model
Forest fires present a significant challenge to ecosystems, particularly due to factors like tree cover that complicate fire detection tasks. While fire detection technologies, like YOLO, are widely used in forest protection, capturing diverse and ...
Zhaoxu Yang, Yifan Shao, Ye Wei, Jun Li
doaj +1 more source
Unmanned aerial vehicle (UAV) swarm intelligence technology has shown unique advantages in agricultural and forestry disaster detection, early warning, and prevention with its efficient and precise cooperative operation capability.
Xiaohong Yan, Renwen Chen
doaj +1 more source
Forest fire surveillance systems: A review of deep learning methods
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
Azlan Saleh +5 more
doaj +1 more source
Fire Detection And 3D Fire Propagation Estimation For The Protection Of Cultural Heritage Areas [PDF]
Beyond taking precautionary measures to avoid a forest fire, early warning and immediate response to a fire breakout are the only ways to avoid great losses and environmental and cultural heritage damages.
Grammalidis, N. +8 more
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