Wildfire Risk to Communities Building Density (Image Service)

The data included in this publication depict components of wildfire risk specifically for populated areas in the United States. These datasets represent where people live in the United States and the in situ risk from wildfire, i.e., the risk at the location where the adverse effects take place.National wildfire hazard datasets of annual burn probability and fire intensity, generated by the USDA Forest Service, Rocky Mountain Research Station and Pyrologix LLC, form the foundation of the Wildfire Risk to Communities data. Vegetation and wildland fuels data from LANDFIRE 2020 (version 2.2.0) were used as input to two different but related geospatial fire simulation systems. Annual burn probability was produced with the USFS geospatial fire simulator (FSim) at a relatively coarse cell size of 270 meters (m). To bring the burn probability raster data down to a finer resolution more useful for assessing hazard and risk to communities, we upsampled them to the native 30 m resolution of the LANDFIRE fuel and vegetation data. In this upsampling process, we also spread values of modeled burn probability into developed areas represented in LANDFIRE fuels data as non-burnable. Burn probability rasters represent landscape conditions as of the end of 2020. Fire intensity characteristics were modeled at 30 m resolution using a process that performs a comprehensive set of FlamMap runs spanning the full range of weather-related characteristics that occur during a fire season and then integrates those runs into a variety of results based on the likelihood of those weather types occurring. Before the fire intensity modeling, the LANDFIRE 2020 data were updated to reflect fuels disturbances occurring in 2021 and 2022. As such, the fire intensity datasets represent landscape conditions as of the end of 2022. The data products in this publication that represent where people live, reflect 2021 estimates of housing unit and population counts from the U.S. Census Bureau, combined with building footprint data from Onegeo and USA Structures, both reflecting 2022 conditions.The specific raster datasets included in this publication include:Building Count: Building Count is a 30-m raster representing the count of buildings in the building footprint dataset located within each 30-m pixel.Building Density: Building Density is a 30-m raster representing the density of buildings in the building footprint dataset (buildings per square kilometer [km²]).Building Coverage: Building Coverage is a 30-m raster depicting the percentage of habitable land area covered by building footprints.Population Count (PopCount): PopCount is a 30-m raster with pixel values representing residential population count (persons) in each pixel.Population Density (PopDen): PopDen is a 30-m raster of residential population density (people/km²).Housing Unit Count (HUCount): HUCount is a 30-m raster representing the number of housing units in each pixel.Housing Unit Density (HUDen): HUDen is a 30-m raster of housing-unit density (housing units/km²).Housing Unit Exposure (HUExposure): HUExposure is a 30-m raster that represents the expected number of housing units within a pixel potentially exposed to wildfire in a year. This is a long-term annual average and not intended to represent the actual number of housing units exposed in any specific year.Housing Unit Impact (HUImpact): HUImpact is a 30-m raster that represents the relative potential impact of fire to housing units at any pixel, if a fire were to occur. It is an index that incorporates the general consequences of fire on a home as a function of fire intensity and uses flame length probabilities from wildfire modeling to capture likely intensity of fire.Housing Unit Risk (HURisk): HURisk is a 30-m raster that integrates all four primary elements of wildfire risk - likelihood, intensity, susceptibility, and exposure - on pixels where housing unit density is greater than zero.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: ISO-19139 metadata ArcGIS Hub Dataset ArcGIS GeoService For complete information, please visit https://data.gov.

本出版物所包含的数据描绘了美国人口密集区域的森林火灾风险构成要素。这些数据集展示了美国居民的居住地及其所在地遭受森林火灾的风险，即不利影响发生的地点风险。美国农业部森林服务局、落基山研究站以及Pyrologix LLC生成的年度燃烧概率和火强度国家森林火灾危害数据集构成了社区森林火灾风险数据的基础。LANDFIRE 2020（版本2.2.0）中的植被和野地燃料数据被用作两个不同但相关的地理空间火灾模拟系统的输入。年度燃烧概率使用美国森林服务局地理空间火灾模拟器（FSim）在相对较粗的270米（米）单元格尺寸下生成。为了将燃烧概率栅格数据下采样至更细的分辨率，以更有效地评估危害和社区风险，我们将它们上采样至LANDFIRE燃料和植被数据的原生30米分辨率。在此上采样过程中，我们还把模拟的燃烧概率值扩展到LANDFIRE燃料数据中表示的开发区域，作为不可燃烧区域。燃烧概率栅格数据代表了截至2020年底的景观条件。火强度特征以30米分辨率通过一个综合了整个火灾季节中发生的所有与天气相关的特征的FlamMap运行过程进行建模，并将这些运行结果整合到各种基于该天气类型发生可能性的结果中。在火强度建模之前，LANDFIRE 2020数据被更新，以反映2021年和2022年发生的燃料扰动。因此，火强度数据集代表了截至2022年底的景观条件。本出版物中代表人们居住位置的数据产品反映了2021年美国人口普查局关于住宅单元和人口数量的估计，以及来自Onegeo和USA Structures的建筑物足迹数据，两者均反映了2022年的状况。本出版物中包含的特定栅格数据集包括：建筑物数量：建筑物数量是一个30米栅格，表示建筑物足迹数据集中每个30米像素内建筑物的数量。建筑物密度：建筑物密度是一个30米栅格，表示建筑物足迹数据集中的建筑物密度（每平方公里建筑物数量[km²]）。建筑物覆盖率：建筑物覆盖率是一个30米栅格，描绘了由建筑物足迹覆盖的宜居土地面积的百分比。人口数量（PopCount）：PopCount是一个30米栅格，像素值表示每个像素中的住宅人口数量（人）。人口密度（PopDen）：PopDen是一个30米栅格，表示住宅人口密度（人/平方公里）。住宅单元数量（HUCount）：HUCount是一个30米栅格，表示每个像素中住宅单元的数量。住宅单元密度（HUDen）：HUDen是一个30米栅格，表示住宅单元密度（住宅单元/平方公里）。住宅单元暴露度（HUExposure）：HUExposure是一个30米栅格，表示像素内预计每年可能暴露于森林火灾的住宅单元数量。这是一个长期年度平均值，并不旨在代表任何特定年份实际暴露的住宅单元数量。住宅单元影响（HUImpact）：HUImpact是一个30米栅格，表示在发生火灾时任何像素处住宅单元相对于火灾的潜在影响。它是一个指数，结合了火灾对住宅的一般后果，作为火强度的函数，并使用森林火灾建模中的火焰长度概率来捕捉可能的火强度。住宅单元风险（HURisk）：HURisk是一个30米栅格，综合了四个主要森林火灾风险要素——可能性、强度、易损性和暴露性——在住宅单元密度大于零的像素上。此记录来源于向https://data.gov目录提供数据的美国农业部企业数据目录。此记录的数据包括以下资源：ISO-19139元数据、ArcGIS Hub数据集、ArcGIS GeoService。欲获取完整信息，请访问https://data.gov。