Articles | Volume 23, issue 1
https://doi.org/10.5194/nhess-23-361-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-23-361-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Characterizing the rate of spread of large wildfires in emerging fire environments of northwestern Europe using Visible Infrared Imaging Radiometer Suite active fire data
Adrián Cardíl
CORRESPONDING AUTHOR
Research and Development Department, Tecnosylva, Parque Tecnológico de León, 24004 León, Spain
Joint Research Unit CTFC–AGROTECNIO–CERCA, 25280 Solsona, Spain
Department of Crop and Forest Sciences, University of Lleida, 25198 Lleida, Spain
Victor M. Tapia
Research and Development Department, Tecnosylva, Parque Tecnológico de León, 24004 León, Spain
Department of Crop and Forest Sciences, University of Lleida, 25198 Lleida, Spain
Santiago Monedero
Research and Development Department, Tecnosylva, Parque Tecnológico de León, 24004 León, Spain
Tomás Quiñones
Research and Development Department, Tecnosylva, Parque Tecnológico de León, 24004 León, Spain
Kerryn Little
School of Geography, Earth and Environmental Sciences, University of Birmingham, B15 2TT Birmingham, UK
Cathelijne R. Stoof
Department of Environmental Sciences, Wageningen University, P.O. Box 47, 6700 AA Wageningen, the Netherlands
Joaquín Ramirez
Research and Development Department, Tecnosylva, Parque Tecnológico de León, 24004 León, Spain
Sergio de-Miguel
Joint Research Unit CTFC–AGROTECNIO–CERCA, 25280 Solsona, Spain
Department of Crop and Forest Sciences, University of Lleida, 25198 Lleida, Spain
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Cited
12 citations as recorded by crossref.
- Vegetation phenology as a key driver for fire occurrence in the UK and comparable humid temperate regions T. Nikonovas et al. 10.1071/WF23205
- Assessment and monitoring of fires caused by the War in Ukraine on Landscape scale O. Tomchenko et al. 10.2478/jlecol-2023-0011
- In temperate Europe, fire is already here: The case of The Netherlands C. Stoof et al. 10.1007/s13280-023-01960-y
- Use of airborne LiDAR to predict fine dead fuel load in Mediterranean forest stands of Southern Europe D. Lin et al. 10.1186/s42408-024-00287-7
- Impacts and Drivers of Summer Wildfires in the Cape Peninsula: A Remote Sensing Approach K. Xongo et al. 10.3390/fire7080267
- Landscape controls on fuel moisture variability in fire-prone heathland and peatland landscapes K. Little et al. 10.1186/s42408-024-00248-0
- The cost of operational complexity: A causal assessment of pre-fire mitigation and wildfire suppression J. Young et al. 10.1016/j.forpol.2024.103351
- The role of weather and climate information services to support in wildfire management in Northwestern Europe H. Lambrechts et al. 10.1016/j.crm.2024.100672
- Spatiotemporal Analysis of Forest Fires in China from 2012 to 2021 Based on Visible Infrared Imaging Radiometer Suite (VIIRS) Active Fires B. Dong et al. 10.3390/su15129532
- Smoke and Flame Identification Method for the Entire Process of Grassland Fire Based on YOLOv5m-D and Static and Dynamic Characteristics W. Li et al. 10.1109/ACCESS.2023.3346504
- Cross-landscape fuel moisture differences impact simulated fire behaviour K. Little et al. 10.1071/WF24019
- In temperate Europe, fire is already here: The case of The Netherlands C. Stoof et al. 10.1007/s13280-023-01960-y
11 citations as recorded by crossref.
- Vegetation phenology as a key driver for fire occurrence in the UK and comparable humid temperate regions T. Nikonovas et al. 10.1071/WF23205
- Assessment and monitoring of fires caused by the War in Ukraine on Landscape scale O. Tomchenko et al. 10.2478/jlecol-2023-0011
- In temperate Europe, fire is already here: The case of The Netherlands C. Stoof et al. 10.1007/s13280-023-01960-y
- Use of airborne LiDAR to predict fine dead fuel load in Mediterranean forest stands of Southern Europe D. Lin et al. 10.1186/s42408-024-00287-7
- Impacts and Drivers of Summer Wildfires in the Cape Peninsula: A Remote Sensing Approach K. Xongo et al. 10.3390/fire7080267
- Landscape controls on fuel moisture variability in fire-prone heathland and peatland landscapes K. Little et al. 10.1186/s42408-024-00248-0
- The cost of operational complexity: A causal assessment of pre-fire mitigation and wildfire suppression J. Young et al. 10.1016/j.forpol.2024.103351
- The role of weather and climate information services to support in wildfire management in Northwestern Europe H. Lambrechts et al. 10.1016/j.crm.2024.100672
- Spatiotemporal Analysis of Forest Fires in China from 2012 to 2021 Based on Visible Infrared Imaging Radiometer Suite (VIIRS) Active Fires B. Dong et al. 10.3390/su15129532
- Smoke and Flame Identification Method for the Entire Process of Grassland Fire Based on YOLOv5m-D and Static and Dynamic Characteristics W. Li et al. 10.1109/ACCESS.2023.3346504
- Cross-landscape fuel moisture differences impact simulated fire behaviour K. Little et al. 10.1071/WF24019
1 citations as recorded by crossref.
Latest update: 13 Dec 2024
Short summary
This study aims to unravel large-fire behavior in northwest Europe, a temperate region with a projected increase in wildfire risk. We propose a new method to identify wildfire rate of spread from satellites because it is important to know periods of elevated fire risk for suppression methods and land management. Results indicate that there is a peak in the area burned and rate of spread in the months of March and April, and there are significant differences for forest-type land covers.
This study aims to unravel large-fire behavior in northwest Europe, a temperate region with a...
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