Found 103 datasets matching "burn probability".
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The data included in this publication depict the 2024 version of components of wildfire risk for all lands in the United States that: 1) are landscape-wide (i.e., measurable at every pixel across...
Search relevance: 172.94 | Views last month: 0 -
Note: This image service has been consolidated into a unified service that now includes Alaska (AK), the Continental United States (CONUS), and Hawaii (HI). For access to the updated and combined...
Search relevance: 171.24 | Views last month: 0 -
Burn probability (BP) models the likelihood that a location could burn. However, predicting BP is extremely challenging, because fire behavior varies strongly among landscapes and with changing...
Search relevance: 169.65 | Views last month: 0 -
National data on burn probability (BP) were generated for the conterminous United States (CONUS), Alaska, and Hawaii using a geospatial Fire Simulation (FSim) system developed by the USDA Forest...
Search relevance: 163.45 | Views last month: 4 -
Note: This image service has been consolidated into a unified service that now includes Alaska (AK), the Continental United States (CONUS), and Hawaii (HI). For access to the updated and combined...
Search relevance: 161.26 | Views last month: 3 -
Burn probability (BP) models involve the simulation of multiple individual wildfires across a landscape to obtain estimates of fire likelihood at any given location based on ignition source, local...
Search relevance: 158.19 | Views last month: 1 -
Note: This image service has been consolidated into a unified service that now includes Alaska (AK), the Continental United States (CONUS), and Hawaii (HI). For access to the updated and combined...
Search relevance: 153.70 | Views last month: 1 -
The FSim wildfire simulation model is widely used to generate estimates of burn probability (BP). However, few studies have compared BP models to subsequent wildfires to assess their suitability...
Search relevance: 108.13 | Views last month: 0 -
The data included in this publication depict the 2024 version of components of wildfire risk for all lands in the United States that: 1) are landscape-wide (i.e., measurable at every pixel across...
Search relevance: 86.27 | Views last month: 0 -
The data included in this publication depict the 2024 version of components of wildfire risk for all lands in the United States that: 1) are landscape-wide (i.e., measurable at every pixel across...
Search relevance: 86.27 | Views last month: 0 -
The data included in this publication depict the 2024 version of components of wildfire risk for all lands in the United States that: 1) are landscape-wide (i.e., measurable at every pixel across...
Search relevance: 86.27 | Views last month: 0 -
The data included in this publication depict the 2024 version of components of wildfire risk for all lands in the United States that: 1) are landscape-wide (i.e., measurable at every pixel across...
Search relevance: 86.27 | Views last month: 0 -
The data included in this publication depict the 2024 version of components of wildfire risk for all lands in the United States that: 1) are landscape-wide (i.e., measurable at every pixel across...
Search relevance: 85.20 | Views last month: 0 -
The data included in this publication depict the 2024 version of components of wildfire risk for all lands in the United States that: 1) are landscape-wide (i.e., measurable at every pixel across...
Search relevance: 84.24 | Views last month: 0 -
The data included in this publication depict the 2024 version of components of wildfire risk for all lands in the United States that: 1) are landscape-wide (i.e., measurable at every pixel across...
Search relevance: 84.24 | Views last month: 0 -
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...
Search relevance: 83.43 | Views last month: 0 -
National data on burn probability (BP) and conditional flame-length probability (FLP) were generated for the conterminous United States (CONUS), Alaska, and Hawaii using a geospatial Fire...
Search relevance: 80.39 | Views last month: 0 -
National data on burn probability (BP) and conditional flame-length probability (FLP) were generated for the conterminous United States (CONUS), Alaska, and Hawaii using a geospatial Fire...
Search relevance: 79.94 | Views last month: 1 -
National data on burn probability (BP) and conditional flame-length probability (FLP) were generated for the conterminous United States (CONUS), Alaska, and Hawaii using a geospatial Fire...
Search relevance: 79.84 | Views last month: 0 -
Note: This image service has been consolidated into a unified service that now includes Alaska (AK), the Continental United States (CONUS), and Hawaii (HI). For access to the updated and combined...
Search relevance: 79.52 | Views last month: 1
