Wildland fires dramatically affect forest ecosystems, altering the loss of their biodiversity and
their sustainability. In addition, they have a strong impact on the global carbon balance and …

中国目前已形成了地面巡护, 近地面监测, 航空巡护和卫星监测等4 级立体林火监测层次,
但森林火灾仍是造成中国森林资源损失, 森林生态环境安全和人身伤害的主要林业灾害 …

Forest fires have caused considerable losses to ecologies, societies, and economies
worldwide. To minimize these losses and reduce forest fires, modeling and predicting the …

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 …

The main objective of the present study was to utilize Genetic Algorithms (GA) in order to
obtain the optimal combination of forest fire related variables and apply data mining …

Remote sensing with time series data offers considerable potential in the trajectory of post
forest fire dynamics beyond the current monitoring of structural attributes that are displayed …

Many post-fire on-site factors, including fire severity, management strategies, topography,
and local climate, are concerns for forest managers and recovery ecologists to formulate …

Forest managers demand reliable and cost-efficient methodologies to implement forest
resilience concepts in post-fire decision-making at different spatio-temporal scales. In this …

The frequency of forest fires is increasing under global climate change, and forest fires can
cause devastating disturbances to forest systems and varying degrees of recovery of forest …

Wildfire is one of the main disturbances affecting forest dynamics, succession, and the
carbon cycle in Siberian forests. The Zabaikal region in southern Siberia is characterized by …