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National-scale assessment of wildfire risk offers a consistent means of evaluating threats to valued resources and assets, thereby facilitating investments in management activities that can mitigate those risks. We used a simulation system to estimate the probabilistic components of wildfire risk across the nation. We generated the data in three volumes: (I) the conterminous U.S. (CONUS), (II) Alaska, and (III) Hawaii. These outputs have been generated to support a number of national planning and risk assessment efforts. |
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National-scale assessment of wildfire risk offers a consistent means of evaluating threats to valued resources and assets, thereby facilitating investments in management activities that can mitigate those risks. We used a simulation system to estimate the probabilistic components of wildfire risk across the nation. We generated the data in three volumes: (I) the conterminous U.S. (CONUS), (II) Alaska, and (III) Hawaii. These outputs have been generated to support a number of national planning and risk assessment efforts. |
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USDA Forest Service, Rocky Mountain Research Station, Missoula Fire Sciences Laboratory This contact information was current as original publication date. For current information see Contact Us page on: https://doi.org/10.2737/RDS. |
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NaN |
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["ArcGIS Server","Data","Image Service","Service"] |
| description:
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<div style='text-align:Left;'><div><div><p><span>National burn probability (BP) and conditional fire intensity level (FIL) data were generated for Alaska 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.</span></p></div></div></div> |
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<div style='text-align:Left;'><div><p><span>The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly. As a work of the United States Government, these data are within the public domain of the United States. Additionally, The U.S. Forest Service waives copyright and related rights in the work worldwide through the CC0 1.0 Universal Public Domain Dedication (which can be found at https://creativecommons.org/publicdomain/zero/1.0/).</span></p></div></div> |
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| title:
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RMRS_ProbabilisticWildfireRisk_BurnProbability_AK |
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Image Service |
| url:
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https://apps.fs.usda.gov/fsgisx01/admin |
| tags:
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["burn probability","fire intensity","flame length","AK","Fire","geoscientific information","open data","Ecology Ecosystems and Environment"] |
| culture:
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en-US |
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| name:
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RMRS_ProbabilisticWildfireRisk_BurnProbability_AK |
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NaN |
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