데이터셋 상세
캐나다
Projected Burn Probability (2020-2100)
The data shared are spatially explicit projections of wildfire burn probability across Canada’s forested ecozones under multiple future climate scenarios at a 30-m spatial resolution. It is developed within the framework of Canada’s National Terrestrial Ecosystem Monitoring System (NTEMS). Four future climate scenarios were used to examine the spatiotemporal distribution of burn probability in the 21st century based on climate, vegetation, and topographic conditions ( Mulverhill et al. 2024). Projected burn probability is provided for four Shared Socioeconomic Pathways (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5) and four future time periods, including 2021-2040, 2041-2060, 2061-2080, and 2081-2100, along with a baseline period representing average climate conditions and burn probability between 1991 and 2020. Outputs represent the probability that the conditions (climate, vegetation, topography) of a given pixel resemble those of historically burned areas. All non-climate variables were held static; therefore, projections represent burn probability under future climate scenarios given contemporary (2020) forest conditions. When using this dataset, please cite Mulverhill et al. (2025), as below. Mulverhill, C., Coops, N. C., Wulder, M. A., Hermosilla, T., White, J. C., & Bater, C. W. (2025). Projected Future Changes in Burn Probability in Canada’s Forests and Communities Under Different Climate Change Scenarios. Canadian Journal of Remote Sensing, 51(1). https://doi.org/10.1080/07038992.2025.2560347(Mulverhill et al. 2025). For a detailed description of the source data and methods applied to the baseline period to enable the Mulverhill et al. (2025) projections, see: Mulverhill, C., Coops, N.C., Wulder, M.A., White, J.C., Hermosilla, T., and Bater, C.W. 2024. “Multidecadal mapping of status and trends in annual burn probability over Canada’s forested ecosystems.” ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 209 pp. 279–295. https://doi.org/10.1016/j.isprsjprs.2024.02.006(Mulverhill et al. 2024).
데이터 정보
- 데이터 포털
- 캐나다
- META URL
- https://open.canada.ca/data/en/dataset/2d0b4927-38e4-451b-9e7f-cb586a1ac01b
- 라이선스
- ca-ogl-lgo
- 비용
- 제공기관
- Natural Resources Canada
- 관리부서
- 데이터
-
연관 데이터
Canada Forest Wildfires (2023)
공공데이터포털
Map of burned area in Canada's forested ecosystems for the 2023 fire session at 30-m spatial resolution mapped from time-series data from Sentinel-2A and -2B, and Landsat-8 and -9 using the Tracking Intra- and Inter-year Change (TIIC) algorithm (Pelletier et al. 2024). It is developed within the framework of Canada’s National Terrestrial Ecosystem Monitoring System (NTEMS). Fires are grouped into two classes based on detection period: summer fires and fall fires. Summer burned pixels were detected between May 30 and September 17, and fall burned pixels were detected between September 17 and October 25. For summer fires, burned pixels were identified by TIIC as changed and typed as fire. For the fall period, TIIC only detected changes within a 4-km buffer of the NRCan fire perimeters (https://cwfis.cfs.nrcan.gc.ca/datamart). This approach was used to limit commission errors that can occur due to known limitations of mapping with optical data in the fall due to phenology, snow cover, or low sun angles. For the 2023 fire season, the TIIC algorithm detected 12.74 Mha of burned area in Canada's forested ecozones, representing 1.8% of the total forest-dominated ecozone area. Of the 12.74 Mha, 11.57 Mha (90.9%) was burned by summer fires and 1.16 Mha (9.1%) by fall fires (Pelletier et al, 2024). When using this data, please cite as: Pelletier, F., Cardille, J.A., Wulder, M.A., White, J.C., Hermosilla, T., 2024. Revisiting the 2023 wildfire season in Canada. Science of Remote Sensing. 10, 100145. (Pelletier et al. 2024).
Probabilistic Wildfire Risk (Map Service)
공공데이터포털
National burn probability (BP) and conditional fire intensity level (FIL) data were generated for the conterminous United States (US) using a geospatial Fire Simulation (FSim) system developed by the US Forest Service Missoula Fire Sciences Laboratory to estimate probabilistic components of wildfire risk (Finney et al. [2011]). The FSim system includes modules for weather generation, wildfire occurrence, fire growth, and fire suppression. FSim is designed to simulate the occurrence and growth of wildfires under tens of thousands of hypothetical contemporary fire seasons in order to estimate the probability of a given area (i.e., pixel) burning under current landscape conditions and fire management practices. The data presented here represent modeled BP and FIL for the conterminous US at a 270-meter grid spatial resolution. The six FILs correspond to flame-length classes as follows: FIL1 = < 2 feet (ft); FIL2 = 2 < 4 ft.; FIL3 = 4 < 6 ft.; FIL4 = 6 < 8 ft.; FIL5 = 8 < 12 ft.; FIL6 = 12+ ft. Because they indicate conditional probabilities (i.e., representing the likelihood of burning at a certain intensity level, given that a fire occurs), the FIL*_20160830 data must be used in conjunction with the BP_20160830 data for risk assessment.
McArthur Forest Fire Danger Index: NARCliM dataset: ~10km resolution, 2020-2039 period, CCCMA3.1 and R2 ensemble member
공공데이터포털
NSW Office of Environment and Heritage Macarthur Forest Fire Danger index. Modelled fire frequency projections at ~10km resolution for 2020-2039 period using CCCMA3.1 and R2 ensemble member using the WRF 3.3 model. This product will provide policy makers, land managers and researchers access to accurate and temporally fine scaled information with which to make hazard reduction and management strategies.
McArthur Forest Fire Danger Index: NARCliM dataset: ~10km resolution, 2020-2039 period, CSIRO-MK3.0 and R2 ensemble member
공공데이터포털
NSW Office of Environment and Heritage Macarthur Forest Fire Danger index. Modelled fire frequency projections at ~10km resolution for 2020-2039 period using CSIRO-MK3.0 and R2 ensemble member using the WRF 3.3 model. This product will provide policy makers, land managers and researchers access to accurate and temporally fine scaled information with which to make hazard reduction and management strategies.
McArthur Forest Fire Danger Index: NARCliM dataset: ~10km resolution, 2060-2079 period, CCCMA3.1 and R2 ensemble member
공공데이터포털
NSW Office of Environment and Heritage Macarthur Forest Fire Danger index. Modelled fire frequency projections at ~10km resolution for 2060-2079 period using CCCMA3.1 and R2 ensemble member using the WRF 3.3 model. This product will provide policy makers, land managers and researchers access to accurate and temporally fine scaled information with which to make hazard reduction and management strategies.
McArthur Forest Fire Danger Index: NARCliM dataset: ~10km resolution, 2020-2039 period, CSIRO-MK3.0 and R1 ensemble member
공공데이터포털
NSW Office of Environment and Heritage Macarthur Forest Fire Danger index. Modelled fire frequency projections at ~10km resolution for 2020-2039 period using CSIRO-MK3.0 and R1 ensemble member using the WRF 3.3 model. This product will provide policy makers, land managers and researchers access to accurate and temporally fine scaled information with which to make hazard reduction and management strategies.
McArthur Forest Fire Danger Index: NARCliM dataset: ~10km resolution, 2020-2039 period, CCCMA3.1 and R1 ensemble member
공공데이터포털
NSW Office of Environment and Heritage Macarthur Forest Fire Danger index. Modelled fire frequency projections at ~10km resolution for 2020-2039 period using CCCMA3.1 and R1 ensemble member using the WRF 3.3 model. This product will provide policy makers, land managers and researchers access to accurate and temporally fine scaled information with which to make hazard reduction and management strategies.
McArthur Forest Fire Danger Index: NARCliM dataset: ~10km resolution, 2020-2039 period, CCCMA3.1 and R3 ensemble member
공공데이터포털
NSW Office of Environment and Heritage Macarthur Forest Fire Danger index. Modelled fire frequency projections at ~10km resolution for 2020-2039 period using CCCMA3.1 and R3 ensemble member using the WRF 3.3 model. This product will provide policy makers, land managers and researchers access to accurate and temporally fine scaled information with which to make hazard reduction and management strategies.
McArthur Forest Fire Danger Index: NARCliM dataset: ~10km resolution, 2060-2079 period, CCCMA3.1 and R1 ensemble member
공공데이터포털
NSW Office of Environment and Heritage Macarthur Forest Fire Danger index. Modelled fire frequency projections at ~10km resolution for 2060-2079 period using CCCMA3.1 and R1 ensemble member using the WRF 3.3 model. This product will provide policy makers, land managers and researchers access to accurate and temporally fine scaled information with which to make hazard reduction and management strategies.
McArthur Forest Fire Danger Index: NARCliM dataset: ~10km resolution, 2020-2039 period, CSIRO-MK3.0 and R3 ensemble member
공공데이터포털
NSW Office of Environment and Heritage Macarthur Forest Fire Danger index. Modelled fire frequency projections at ~10km resolution for 2020-2039 period using CSIRO-MK3.0 and R3 ensemble member using the WRF 3.3 model. This product will provide policy makers, land managers and researchers access to accurate and temporally fine scaled information with which to make hazard reduction and management strategies.