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 …

[PDF][PDF] Reimagine fire science for the anthropocene

JK Shuman, JK Balch, RT Barnes, PE Higuera… - PNAS …, 2022 - academic.oup.com
Fire is an integral component of ecosystems globally and a tool that humans have
harnessed for millennia. Altered fire regimes are a fundamental cause and consequence of …

Live fuel moisture content estimation from MODIS: A deep learning approach

L Zhu, GI Webb, M Yebra, G Scortechini, L Miller… - ISPRS Journal of …, 2021 - Elsevier
Live fuel moisture content (LFMC) is an essential variable to model fire danger and
behaviour. This paper presents the first application of deep learning to LFMC estimation …

Forecasting daily fire radiative energy using data driven methods and machine learning techniques

LH Thapa, PE Saide, J Bortnik… - Journal of …, 2024 - Wiley Online Library
Increasing impacts of wildfires on Western US air quality highlights the need for forecasts of
smoke emissions based on dynamic modeled wildfires. This work utilizes knowledge of …

Live fuel moisture content mapping in the Mediterranean Basin using random forests and combining MODIS spectral and thermal data

A Cunill Camprubi, P González-Moreno… - Remote Sensing, 2022 - mdpi.com
Remotely sensed vegetation indices have been widely used to estimate live fuel moisture
content (LFMC). However, marked differences in vegetation structure affect the relationship …

Three lines of defense for wildfire risk management in electric power grids: A review

A Arab, A Khodaei, R Eskandarpour… - IEEE …, 2021 - ieeexplore.ieee.org
Wildfires pose a significant challenge to the natural and the built environments, as well as
the safety and economic wellbeing of the communities residing in wildfire-prone areas. The …

A computationally efficient method for updating fuel inputs for wildfire behavior models using sentinel imagery and random forest classification

AL DeCastro, TW Juliano, B Kosović, H Ebrahimian… - Remote Sensing, 2022 - mdpi.com
Disturbance events can happen at a temporal scale much faster than wildland fire fuel data
updates. When used as input for wildland fire behavior models, outdated fuel datasets can …

[HTML][HTML] Research Trends in Wildland Fire prediction amidst climate change: A Comprehensive bibliometric analysis

M Bao, J Liu, H Ren, S Liu, C Ren, C Chen, J Liu - Forests, 2024 - mdpi.com
Wildfire prediction plays a vital role in the management and conservation of forest
ecosystems. By providing detailed risk assessments, it contributes to the reduction of fire …

Wildfire risk prediction: A review

Z Xu, J Li, S Cheng, X Rui, Y Zhao, H He… - arXiv preprint arXiv …, 2024 - arxiv.org
Wildfires have significant impacts on global vegetation, wildlife, and humans. They destroy
plant communities and wildlife habitats and contribute to increased emissions of carbon …