AndreaBozzo/ceres-open-data-index huggingface dataset:
Probabilistic Wildfire Risk Flame Length Probability 4 (Image Service)

<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), Alaska, and Hawaii using a geospatial Fire Simulation (FSim) system developed by the USDA Forest Service Missoula Fire Sciences Laboratory. 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 (end of 2020) landscape conditions and fire management practices. The data presented here represent modeled BP and FLPs for the United States (US) at a 270-meter grid spatial resolution. Flame-length probability is estimated for six standard Fire Intensity Levels. The six FILs correspond to flame-length classes as follows: FLP1 = &lt; 2 feet (ft); FLP2 = 2 &lt; 4 ft.; FLP3 = 4 &lt; 6 ft.; FLP4 = 6 &lt; 8 ft.; FLP5 = 8 &lt; 12 ft.; FLP6 = 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 FLP data must be used in conjunction with the BP data for risk assessment.</span></p><p><span>These data are a newer edition of the Short et al. (2016, 2020) data publications. This third edition is based on circa 2020 landscape data, which were the most current LANDFIRE products available at the time of production. The methods used to generate these data generally followed the same process used in previous editions, with improvements made at specific steps. The process steps outlined in the Data Quality, Lineage section of this metadata document are expanded from previous editions to more fully explain each step and provide additional details on methods for this edition. Beyond the newer input landscape data from LANDFIRE, we also used updated datasets for other inputs such as fire occurrence, observed gridded daily weather, and wind data from weather stations. To better capture recent climate conditions, we also shortened the time period of historical weather records used to inform the generation of simulated weather streams for simulation runs, using the most recent 15 years this time (2006-2020) rather than full record from 1972-2012 in the second edition. See the process steps described in the Data Quality, Lineage section for more details.</span></p></div></div></div>

Tags: alaska, burn-probability, conus, ecology, ecosystems, environment, fire, fire-intensity, flame-length, geoscientific-information, hawaii, united-states
Organization: Department of Agriculture
Probabilistic Wildfire Risk Flame Length Probability 6 (Image Service)

<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), Alaska, and Hawaii using a geospatial Fire Simulation (FSim) system developed by the USDA Forest Service Missoula Fire Sciences Laboratory. 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 (end of 2020) landscape conditions and fire management practices. The data presented here represent modeled BP and FLPs for the United States (US) at a 270-meter grid spatial resolution. Flame-length probability is estimated for six standard Fire Intensity Levels. The six FILs correspond to flame-length classes as follows: FLP1 = &lt; 2 feet (ft); FLP2 = 2 &lt; 4 ft.; FLP3 = 4 &lt; 6 ft.; FLP4 = 6 &lt; 8 ft.; FLP5 = 8 &lt; 12 ft.; FLP6 = 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 FLP data must be used in conjunction with the BP data for risk assessment.</span></p><p><span>These data are a newer edition of the Short et al. (2016, 2020) data publications. This third edition is based on circa 2020 landscape data, which were the most current LANDFIRE products available at the time of production. The methods used to generate these data generally followed the same process used in previous editions, with improvements made at specific steps. The process steps outlined in the Data Quality, Lineage section of this metadata document are expanded from previous editions to more fully explain each step and provide additional details on methods for this edition. Beyond the newer input landscape data from LANDFIRE, we also used updated datasets for other inputs such as fire occurrence, observed gridded daily weather, and wind data from weather stations. To better capture recent climate conditions, we also shortened the time period of historical weather records used to inform the generation of simulated weather streams for simulation runs, using the most recent 15 years this time (2006-2020) rather than full record from 1972-2012 in the second edition. See the process steps described in the Data Quality, Lineage section for more details.</span></p></div></div></div>

Tags: alaska, burn-probability, conus, ecology, ecosystems, environment, fire, fire-intensity, flame-length, geoscientific-information, hawaii, united-states
Organization: Department of Agriculture
Probabilistic Wildfire Risk Burn Probability (Image Service)

<div style='text-align:Left;'><div><div><p><span>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 Service Missoula Fire Sciences Laboratory. 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 (end of 2020) landscape conditions and fire management practices. The data presented here represent modeled BP and FLPs for the United States (US) at a 270-meter grid spatial resolution. Flame-length probability is estimated for six standard Fire Intensity Levels. The six FILs correspond to flame-length classes as follows: FLP1 = &amp;lt; 2 feet (ft); FLP2 = 2 &amp;lt; 4 ft.; FLP3 = 4 &amp;lt; 6 ft.; FLP4 = 6 &amp;lt; 8 ft.; FLP5 = 8 &amp;lt; 12 ft.; FLP6 = 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 FLP data must be used in conjunction with the BP data for risk assessment.These data are a newer edition of the Short et al. (2016, 2020) data publications. This third edition is based on circa 2020 landscape data, which were the most current LANDFIRE products available at the time of production. The methods used to generate these data generally followed the same process used in previous editions, with improvements made at specific steps. The process steps outlined in the Data Quality, Lineage section of this metadata document are expanded from previous editions to more fully explain each step and provide additional details on methods for this edition. Beyond the newer input landscape data from LANDFIRE, we also used updated datasets for other inputs such as fire occurrence, observed gridded daily weather, and wind data from weather stations. To better capture recent climate conditions, we also shortened the time period of historical weather records used to inform the generation of simulated weather streams for simulation runs, using the most recent 15 years this time (2006-2020) rather than full record from 1972-2012 in the second edition. See the process steps described in the Data Quality, Lineage section for more details.</span></p></div></div></div>

Tags: 2023, alaska, burn-probability, conus, fire-intensity, flame-length, geoscientificinformation, hawaii, imagerybasemapsearthcover, iso-19115-topic-category, national-research-development-taxonomy, probabilistic-wildfire-risk, rmrs
Organization: Department of Agriculture
Probabilistic Wildfire Risk Burn Probability Alaska (Image Service)

<div style='text-align:Left;'><div><div><p><strong>Note:</strong> 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 image service, please visit the new item page: <a target='_blank' href='https://usfs.maps.arcgis.com/home/item.html?id=75ca2433ca2e4828a5a0302d92efe64a' rel='nofollow ugc noopener noreferrer'>https://usfs.maps.arcgis.com/home/item.html?id=75ca2433ca2e4828a5a0302d92efe64a</a>.</p><p><span>National Probabilistic Wildfire Risk 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 = &lt; 2 feet (ft); FIL2 = 2 &lt; 4 ft.; FIL3 = 4 &lt; 6 ft.; FIL4 = 6 &lt; 8 ft.; FIL5 = 8 &lt; 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>

Tags: ak, alaska, bp, burn-probability, national-burn-probability, probabilistic-wildfire-risk, rmrs
Organization: Department of Agriculture
Probabilistic Wildfire Risk Flame Length Probability 6 Alaska (Image Service)

<div style='text-align:Left;'><div><div><p><strong>Note:</strong><span style='background-color:rgb(255,255,255); color:rgb(74,74,74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><span style='display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; text-align:left; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'> 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 image service, please visit the new item page: </span></span><a target='_blank' href='https://usfs.maps.arcgis.com/home/item.html?id=085626ec50324e5e9ad6323c050ac84d' rel='nofollow ugc noopener noreferrer'>https://usfs.maps.arcgis.com/home/item.html?id=085626ec50324e5e9ad6323c050ac84d</a><span style='background-color:rgb(255,255,255); color:rgb(74,74,74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><span style='display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; text-align:left; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>.</span></span></p><p><span>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 Simulation (FSim) system developed by the USDA Forest Service Missoula Fire Sciences Laboratory. 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 FLPs for the United States (US) at a 270-meter grid spatial resolution. Flame-length probability is estimated for six standard Fire Intensity Levels. The six FLPs correspond to flame-length classes as follows: FLP1 = &lt; 2 feet (ft); FLP2 = 2 &lt; 4 ft.; FLP3 = 4 &lt; 6 ft.; FLP4 = 6 &lt; 8 ft.; FLP5 = 8 &lt; 12 ft.; FLP6 = 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 FLP data must be used in conjunction with the BP data for risk assessment.</span></p></div></div></div>

Tags: ak, burn-probability, ecology-ecosystems-and-environment, fire, fire-intensity, flame-length, geoscientific-information, open-data
Organization: Department of Agriculture
Probabilistic Wildfire Risk Flame Length Probability 6 CONUS (Image Service)

<div style='text-align:Left;'><div><div><p><strong>Note:</strong><span style='background-color:rgb(255,255,255); color:rgb(74,74,74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><span style='display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; text-align:left; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'> 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 image service, please visit the new item page: </span></span><a target='_blank' href='https://usfs.maps.arcgis.com/home/item.html?id=085626ec50324e5e9ad6323c050ac84d' rel='nofollow ugc noopener noreferrer'>https://usfs.maps.arcgis.com/home/item.html?id=085626ec50324e5e9ad6323c050ac84d</a><span style='background-color:rgb(255,255,255); color:rgb(74,74,74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><span style='display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; text-align:left; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>.</span></span></p><p><span>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 Simulation (FSim) system developed by the USDA Forest Service Missoula Fire Sciences Laboratory. 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 FLPs for the United States (US) at a 270-meter grid spatial resolution. Flame-length probability is estimated for six standard Fire Intensity Levels. The six FLPs correspond to flame-length classes as follows: FLP1 = &lt; 2 feet (ft); FLP2 = 2 &lt; 4 ft.; FLP3 = 4 &lt; 6 ft.; FLP4 = 6 &lt; 8 ft.; FLP5 = 8 &lt; 12 ft.; FLP6 = 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 FLP data must be used in conjunction with the BP data for risk assessment.</span></p></div></div></div>

Tags: burn-probability, conterminous-united-states, conus, ecology, ecosystems, environment, fire, fire-intensity, flame-length, geoscientific-information, open-data
Organization: Department of Agriculture
Probabilistic Wildfire Risk Flame Length Probability 6 Hawaii (Image Service)

<div style='text-align:Left;'><div><div><p><strong>Note:</strong><span style='background-color:rgb(255,255,255); color:rgb(74,74,74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><span style='display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; text-align:left; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'> 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 image service, please visit the new item page: </span></span><a target='_blank' href='https://usfs.maps.arcgis.com/home/item.html?id=085626ec50324e5e9ad6323c050ac84d' rel='nofollow ugc noopener noreferrer'>https://usfs.maps.arcgis.com/home/item.html?id=085626ec50324e5e9ad6323c050ac84d</a><span style='background-color:rgb(255,255,255); color:rgb(74,74,74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><span style='display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; text-align:left; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>.</span></span></p><p><span>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 Simulation (FSim) system developed by the USDA Forest Service Missoula Fire Sciences Laboratory. 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 FLPs for the United States (US) at a 270-meter grid spatial resolution. Flame-length probability is estimated for six standard Fire Intensity Levels. The six FLPs correspond to flame-length classes as follows: FLP1 = &lt; 2 feet (ft); FLP2 = 2 &lt; 4 ft.; FLP3 = 4 &lt; 6 ft.; FLP4 = 6 &lt; 8 ft.; FLP5 = 8 &lt; 12 ft.; FLP6 = 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 FLP data must be used in conjunction with the BP data for risk assessment.</span></p></div></div></div>

Tags: burn-probability, ecology-ecosystems-and-environment, fire, fire-intensity, flame-length, geoscientific-information, hi, open-data
Organization: Department of Agriculture
Wildfire Hazard Potential, Version 2014 Classified (Image Service)

<p><span><strong>Note:</strong> This Wildfire Hazard Potential (WHP) image service has been deprecated. Previous versions—including 2014, 2018, 2020, and 2023 continuous and classified datasets—have been replaced by a unified WHP service containing the most current data.</span></p><p><span>For the updated <strong>continuous</strong> WHP service, visit: </span><a target='_blank' href='https://usfs.maps.arcgis.com/home/item.html?id=c984aeeecfcc4bef887a3f72a5b4e65a' rel='nofollow ugc noopener noreferrer'><span>https://usfs.maps.arcgis.com/home/item.html?id=c984aeeecfcc4bef887a3f72a5b4e65a</span></a><span> For the updated <strong>classified</strong> WHP service, visit: </span><a target='_blank' href='https://usfs.maps.arcgis.com/home/item.html?id=13004659506b4032bf7998038176f1c3' rel='nofollow ugc noopener noreferrer'><span>https://usfs.maps.arcgis.com/home/item.html?id=13004659506b4032bf7998038176f1c3</span></a></p><p>The wildfire hazard potential (WHP) is a raster geospatial product at 270-meter resolution covering all lands in the conterminous United States. It can help to inform evaluations of wildfire risk or prioritization of fuels management needs across very large landscapes (millions of acres). Our specific objective with the WHP map is to depict the relative potential for wildfire that would be difficult for suppression resources to contain. For more information, please visit: https://www.firelab.org/project/wildfire-hazard-potential. This dataset can be downloaded from this website:&nbsp;<span style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'>https://doi.org/10.2737/RDS-2015-0046</span></p>

Tags: 2014, classified, hazard, open-data, potential, raster-data-warehouse, rdw, rmrs, wildfire
Organization: Department of Agriculture