Wildfire Risk to Communities Population 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.Additional methodology documentation is provided with the data publication download. Metadata and Downloads.Note: Pixel values in this image service have been altered from the original raster dataset due to data requirements in web services. The service is intended primarily for data visualization. Relative values and spatial patterns have been largely preserved in the service, but users are encouraged to download the source data for quantitative analysis.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野火风险成分。这些数据集代表了美国人民的居住地及其野火现场风险，即不良影响发生的地点风险。由美国农业部森林服务局、落基山研究站和Pyrologix LLC生成的年度燃烧概率和火强度国家野火危害数据集构成了社区野火风险数据的基础。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。年度燃烧概率通过美国森林服务局的地理空间火灾模拟器（FSim）在相对粗略的270米（m）单元格大小下生成。为了将燃烧概率栅格数据提升到更细的分辨率，以便更有效地评估危害和社区风险，我们将它们上采样到LANDFIRE燃料和植被数据的原生30米分辨率。在此上采样过程中，我们还将在LANDFIRE燃料数据中表示的开发区域中的模型化燃烧概率视为不可燃。燃烧概率栅格表示截至2020年底的景观条件。通过执行涵盖整个火灾季节期间发生的所有与天气相关的特征的全面FlamMap运行过程，并在基于这些天气类型发生可能性的各种结果中综合这些运行，以30米分辨率为火强度特征建模。在火强度建模之前，LANDFIRE 2020数据已更新，以反映2021年和2022年发生的燃料干扰。因此，火强度数据集表示截至2022年底的景观条件。本出版物中代表人们居住的数据产品反映了美国人口普查局2021年的住房单元和人口计数估计，以及来自Onegeo和USA Structures的建筑足迹数据，这两者均反映了2022年的状况。本出版物中包含的特定栅格数据集包括：建筑计数、建筑密度、建筑覆盖率、人口计数（PopCount）、人口密度（PopDen）、住房单元计数（HUCount）、住房单元密度（HUDen）、住房单元暴露度（HUExposure）、住房单元影响（HUImpact）和住房单元风险（HURisk）。此外，与数据出版相关的附加方法学文档可在数据下载中获取。请注意，由于网络服务的数据需求，此图像服务中的像素值已从原始栅格数据集进行了调整。该服务主要用于数据可视化。在服务中，相对值和空间模式在很大程度上得到了保留，但建议用户下载源数据以进行定量分析。本记录取自为https://data.gov目录提供数据的USDA企业数据目录。本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。