A systematic review of disaster management systems: approaches, challenges, and future directions

SM Khan, I Shafi, WH Butt, IT Diez, MAL Flores… - Land, 2023 - mdpi.com
Disaster management is a critical area that requires efficient methods and techniques to
address various challenges. This comprehensive assessment offers an in-depth overview of …

A systematic review of applications of machine learning techniques for wildfire management decision support

K Bot, JG Borges - Inventions, 2022 - mdpi.com
Wildfires threaten and kill people, destroy urban and rural property, degrade air quality,
ravage forest ecosystems, and contribute to global warming. Wildfire management decision …

Detection of forest fire using deep convolutional neural networks with transfer learning approach

HC Reis, V Turk - Applied Soft Computing, 2023 - Elsevier
Forest fires caused by natural causes such as climate change, temperature increase,
lightning strikes, volcanic activity or human effects are among the world's most dangerous …

[HTML][HTML] Develo** customized fuel models for shrub and bracken communities in Galicia (NW Spain)

JA Vega, JG Álvarez-González… - Journal of …, 2024 - Elsevier
Geospatial fire behaviour and fire hazard simulators, fire effects models and smoke emission
software commonly use standard fuel models in order to simplify data collection and the …

The adoption of climate-smart agriculture to address wildfires in the Maya Golden Landscape of Belize: smallholder farmers' perceptions

SD Chicas, JØ Nielsen, GM Robinson, N Mizoue… - Journal of environmental …, 2023 - Elsevier
Ecosystems around the globe are enduring wildfires with greater frequency, intensity, and
severity and this trend is projected to continue as a result of climate change. Climate-smart …

Projecting large fires in the western US with an interpretable and accurate hybrid machine learning method

F Li, Q Zhu, L Soualah, A Bouzekri, H Chenchouni - Trees, Forests and People, 2024 - Elsevier
Forest fires pose severe threats to ecosystems and communities globally, especially in
vulnerable semi-arid regions like North Africa. Understanding the key factors influencing …

Wildfire risk prediction: A review

Z Xu, J Li, S Cheng, X Rui, Y Zhao, H He… - ar** potential fire severity for risk analysis at regional level using Google Earth engine
JM Costa-Saura, V Bacciu, C Ribotta, D Spano… - Remote Sensing, 2022 - mdpi.com
Despite being a natural ecological process, wildfires are dramatic events that, accelerated
by global change, could negatively affect ecosystem services depending on their severity …