| snippet:
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This dataset is a 30-m cell size raster representing annual burn probability (BP) across the the state of CA, represnting the fuelscape after the 2019 fire season. |
| summary:
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This dataset is a 30-m cell size raster representing annual burn probability (BP) across the the state of CA, represnting the fuelscape after the 2019 fire season. |
| accessInformation:
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Pryologix, USDA Forest Service
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| thumbnail:
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thumbnail/thumbnail.png
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| typeKeywords:
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["Data","Service","Image Service","ArcGIS Server"]
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| description:
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This dataset is a 30-m cell size raster representing annual burn probability (BP) across the analysis area. BP is the probability that a specific geographic location (30-m pixel) will experience a wildland fire during a specified time period (1 year). Estimates of BP were generated with the large-wildfire simulation system, FSim.
CALFSim model results were completed on the calibrated CALfuelscape (derived from LANDFIRE 2016). The fuelscape was updated with disturbances through the end of the 2019 wildfire season (2020compatible). Simulations were completed at 120-mresolution with 10,000iterations. |
| licenseInfo:
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None
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| catalogPath:
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| title:
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Burn_Probability
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| type:
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Image Service
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| url:
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http://localhost:6080/arcgis/services/Burn_Probability/ImageServer
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| tags:
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["Wildfire"]
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| culture:
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en-US
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| name:
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Burn_Probability
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| guid:
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| spatialReference:
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