Search Data.gov
Found 273 dataset(s) matching "fire intensity".
-
<div style='text-align:Left;'><div><div><p><span>National data on burn probability (BP) and conditional flame-length probability (FLP) were generated for the conterminous United States (CONUS),...
-
<div style='text-align:Left;'><div><div><p><span>National data on burn probability (BP) and conditional flame-length probability (FLP) were generated for the conterminous United States (CONUS),...
-
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...
-
<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...
-
This dataset provides an estimate of 2016 cheatgrass percent cover in the northern Great Basin at 250 meter spatial resolution. The dataset was generated by integrating eMODIS NDVI satellite data...
-
This dataset provides an estimate of 2015 cheatgrass percent cover in the northern Great Basin at 250 meter spatial resolution. The dataset was generated by integrating eMODIS NDVI satellite data...
-
This dataset provides an estimate of 2015 cheatgrass percent cover in the northern Great Basin at 250 meter spatial resolution. The dataset was generated by integrating eMODIS NDVI satellite data...
-
This dataset provides an estimate of 2016 cheatgrass percent cover in the northern Great Basin at 250 meter spatial resolution. The dataset was generated by integrating eMODIS NDVI satellite data...
-
These data support the following publication: "Fire intensity derived over Alaska, 2003 - 2022". The file contains information associated with fire radiative power (FRP) data derived from 1-km...
-
The 2018 Wildland Hazard Potential (WHP) represents areas of uncharacteristic fuel buildup. The WFP is a raster geospatial product produced by the USFS Fire Modeling Institute in the Fire, Fuel,...
-
<span style='color:rgb(0, 0, 0); font-family:Verdana, Arial, Helvetica, sans-serif; font-size:14.4px;'>The 2023 Wildland Hazard Potential (WHP) represents areas of significant fuel buildup. The...
-
<div style="text-align:Left;"><div><div><p style="margin:0 0 11;"><a target="_blank" rel="noopener noreferrer"...
-
The 2018 Wildland Hazard Potential (WHP) represents areas of uncharacteristic fuel buildup. The WFP is a raster geospatial product produced by the USFS Fire Modeling Institute in the Fire, Fuel,...
-
<span style='color:rgb(0, 0, 0); font-family:Verdana, Arial, Helvetica, sans-serif; font-size:14.4px;'>The 2023 Wildland Hazard Potential (WHP) represents areas of significant fuel buildup. The...
-
<div style='text-align:Left;'><div><div><p style='font-weight:bold;'><a href='https://data.fs.usda.gov/geodata/rastergateway/TCA/Alaska/07_WHP/TCA_AK_Wildfire_Hazard_High.zip'...
-
<div style="text-align:Left;"><div><div><p><a target="_blank" rel="noopener noreferrer"...
-
This data release includes metadata and tabular data that document Acacia koa density, basal area, and grass cover before and after the 2018 Keauhou Ranch Fire in Hawaii Volcanoes National Park....
-
The LANDFIRE (LF) 2001 Fuel Loading Model (FLM) classification system is based on unique sets of fuel characteristics that simplify the input of fuel loadings into fire effects models. FLMs can be...
-
The LANDFIRE (LF) 2001 Fuel Loading Model (FLM) classification system is based on unique sets of fuel characteristics that simplify the input of fuel loadings into fire effects models. FLMs can be...
