Temporal Wildfire Forecasting
Temporal Wildfire Forecasting is a predictive modeling approach within wildfire hazard identification that specifically characterizes the timing and evolution of wildfire events over discrete or continuous time intervals, differentiating it from spatial or static risk assessment methods by its focus on dynamic temporal patterns.
19
Publications
907
Citations
87
Authors
50
Institutions
Publications per year
2017–2026
14
19
Wildfire Danger Prediction and Understanding With Deep Learning
Spyros Kondylatos, Ioannis Prapas, Michele Ronco et al. · Geophysical Research Letters · 2022 · 150 citations · Full text
Lara Vilar, Israel Gómez, Javier Martínez Vega et al. · PLoS ONE · 2016 · 77 citations · Full text
Douglas G. Woolford, David L. Martell, Colin B. McFayden et al. · Canadian Journal of Forest Research · 2020 · 46 citations · Full text
Natural Resources, Environmental Sciences, Land-use Planning +16
1–5 of 19
87
3
h-index
2
h-index
Mahatma Gandhi Mission Medical College and Hospital, India
1 publications · 17 citations
1
h-index
1
h-index
1
h-index
1–5 of 87
50
University of California, Irvine
Irvine, United States
3 h-index
9 publications
365 citations
Southern Research Station
Asheville, United States
2 h-index
5 publications
190 citations
Irvine University
Cerritos, United States
2 h-index
2 publications
63 citations
Triangle
Malden, United States
2 h-index
4 publications
140 citations
Ontario Forest Research Institute
Sault Ste. Marie, Canada
1 h-index
1 publications
46 citations

Pacific Northwest National Laboratory
Richland, United States
1 h-index
1 publications
42 citations
Max Planck Institute for Biogeochemistry
Jena, Germany
1 h-index
1 publications
150 citations
International Centre for Theoretical Sciences
Bengaluru, India
1 h-index
1 publications
17 citations
1–8 of 50
2 publications · 70 citations
2
h-index
1 publications · 20 citations
1
h-index
REM · 1 publications · 33 citations
1
h-index
1 publications · 25 citations
1
h-index
1 publications · 77 citations
1
h-index
1–5