Wildfire risk modeling

S Oliveira, J Rocha, A Sá - Current Opinion in Environmental Science & …, 2021 - Elsevier
Wildfires occur worldwide and affect different territories in diverse ways. New challenges in
wildfire management are emerging, fueled by climatic, land cover, and sociodemographic …

Identifying anthropogenic and natural causes of wildfires by maximum entropy method-based ignition susceptibility distribution models

F Sari - Journal of Forestry Research, 2023 - Springer
Turkey has a high potential for wildfires along its Mediterranean coast because of its dense
forest cover and mild climate. An average of 250 wildfires occurs every year with more than …

[HTML][HTML] Machine learning methods and synthetic data generation to predict large wildfires

FJ Pérez-Porras, P Triviño-Tarradas… - Sensors, 2021 - mdpi.com
Wildfires are becoming more frequent in different parts of the globe, and the ability to predict
when and where they will occur is a complex process. Identifying wildfire events with high …

[HTML][HTML] GIS-based Modeling for vegetated land fire prediction in Qaradagh Area, Kurdistan Region, Iraq

SG Salar, AA Othman, S Rasooli, SS Ali, ZT Al-Attar… - Sustainability, 2022 - mdpi.com
This study aims to estimate the susceptibility of fire occurrence in the Qaradagh area of the
Iraqi Kurdistan Region, by examining 16 predictive factors. We selected these predictive …

[HTML][HTML] Identifying long-term burned forests in the rugged terrain of Southwest China: A novel method based on remote sensing and ecological mechanisms

E Yu, M Zhang, Y Hou, S Liu, S Deng, M Sun… - International Journal of …, 2024 - Elsevier
Burned forests were detected using remote sensing techniques. Yet, identifying long-term
burned forests in the mountains, especially at a large spatial extent, remains a great …

[HTML][HTML] Utilizing grid data and deep learning for forest fire occurrences and decision support: A case study in the Ningxia Hui autonomous region

Y Shao, Q Zhu, Z Feng, L Sun, P Yue, A Wang… - Forests, 2023 - mdpi.com
In order to investigate the geographical distribution of forest fire occurrences in the Ningxia
Hui Autonomous Region, this study employs advanced modeling techniques, utilizing …

Assessment of fire hazard weather indices in the eastern Amazon: a case study for different land uses

RBL Cavalcante, BM Souza, SJ Ramos, M Gastauer… - Acta …, 2021 - SciELO Brasil
The fire frequency in the Amazon increased rapidly after the 1990s due to deforestation and
forest degradation, and it is expected to increase in response to climate change. We …

[HTML][HTML] Study on the Driving Factors of the Spatiotemporal Pattern in Forest Lightning Fires and 3D Fire Simulation Based on Cellular Automata

M Li, Y Wu, Y Liu, Y Zhang, Q Yu - Forests, 2024 - mdpi.com
Lightning-induced forest fires frequently inflict substantial damage on forest ecosystems,
with the Daxing'anling region in northern China recognized as a high-incidence region for …

A Geospatial Model for Real-Time Predicting Rural Fire Propagation Velocity Using Dynamic Algorithms and Open Data for Advanced Emergency Management

C Brys, DLLR Martĺnez, M Marinelli - Environmental Modelling & Software, 2025 - Elsevier
When a fire is detected in a rural environment, it is imperative to know the dynamics of the
fire's development. Knowing the fire's trajectory is vital since the firefront will have shifted …

Identification of forest fire-prone region in Lamington National Park using GIS-based multicriteria technique: validation using field and Sentinel-2-based observations

H Singh, SK Srivastava - Geocarto International, 2025 - Taylor & Francis
Abstract Lamington National Park in Queensland, Australia, is increasingly threatened by
wildfires, intensified by climate change. This study integrates remote sensing, GIS, and the …