Search Data.gov
Found 101 dataset(s) matching "Burn Probability".
-
<div style='text-align:Left;'><div><div><p><span>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...
-
<div style='text-align:Left;'><div><div><p><span>National burn probability (BP) and conditional fire intensity level (FIL) data were generated for Hawaii using a geospatial Fire Simulation (FSim)...
-
<div style='text-align:Left;'><div><div><p><span>National Probabilistic Wildfire Risk Burn Probability (BP) and conditional fire intensity level (FIL) data were generated for Alaska using a...
-
<div style='text-align:Left;'><p style='margin:0 0 0 0;'><span>National data on burn probability (BP) and conditional flame-length probability (FLP) were generated for the conterminous United...
-
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...
-
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...
-
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...
-
<div style='text-align:Left;'><div><div><p><span>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...
-
<div style='text-align:Left;'><div><div><p><span>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...
-
<div style='text-align:Left;'><div><div><p><span>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...
-
<div style='text-align:Left;'><div><div><p><span>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...
-
<div style='text-align:Left;'><div><div><p><span>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...
-
<div style='text-align:Left;'><div><div><p><span>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...
-
<div style='text-align:Left;'><div><div><p><span>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...
-
The U.S. Geological Survey (USGS) has developed and implemented an algorithm that identifies burned areas in temporally-dense time series of Landsat image stacks to produce the Landsat Burned Area...
-
<div style='text-align:Left;'><div><div><p><span>The data included in this publication depict components of wildfire risk specifically for populated areas in the United States. These datasets...
-
<div style='text-align:Left;'><div><div><p><span>The data included in this publication depict components of wildfire risk specifically for populated areas in the United States. These datasets...
-
<div style='text-align:Left;'><div><div><p><span>The data included in this publication depict components of wildfire risk specifically for populated areas in the United States. These datasets...
-
<div style='text-align:Left;'><div><div><p><span>The data included in this publication depict components of wildfire risk specifically for populated areas in the United States. These datasets...
-
<div style='text-align:Left;'><div><div><p><span>The data included in this publication depict components of wildfire risk specifically for populated areas in the United States. These datasets...
