Smoothed raster of wildfire transmission to buildings in the continental United States and Alaska: 3rd edition

Recent fire seasons in the continental United States have motivated federal agencies to explore scenarios for augmenting current fuel management and forest restoration in areas where fires ignite and spread to buildings in adjacent communities. This data publication contains two (2) geodatabase rasters representing a spatial assessment within the continental U.S. and Alaska of areas at high risk of igniting fires that spread to and expose buildings as smoothed rasters of sources of annual building exposure from wildfire. These rasters were created by intersecting simulated wildfire perimeters with building location data over 10,000 to 100,000 fire seasons. This assessment reflects 2014 vegetation conditions and 2020 building locations. These data can be used in scenario planning to helps design fuel treatment program that target wildfire exposure to developed areas. The continental scale of the data support expanded use of scenario planning science to analyze and communicate large scale expansion of current forest and fuel management initiatives.Wildfire impacts to developed areas have stimulated wide-ranging policy discussions about the role of active forest management to reduce hazardous fuels on federal and private wildlands. An assessment of areas that have the highest likelihood to ignite fires that spread to buildings in developed areas are needed. These spatial data were used to estimate sources of wildfire ignitions that spread to and expose communities to help highlight areas that could be targeted for fuels reduction treatments and other risk mitigation efforts.The first edition of these data was published on 03/10/2022 (https://doi.org/10.2737/RDS-2022-0015). The second edition changed the raster values to be per pixel values instead of per acre values (https://doi.org/10.2737/RDS-2022-0015-2).

This third edition (published on 09/12/2023) adds the corresponding exposure raster for Alaska; the original raster for the continental U.S. was not modified in any way from the second edition. This new edition also includes metadata updates. On 10/11/2023 we updated the legend for \Supplements\BuildingExposure_CONUS_MS.png which had the “Moderate” class incorrectly denoted as 3% of total exposure, which has now been corrected to 35%. On 12/18/2023 two corrections were made to the Alaska data: 1) the raster “AK_BuildingExposure_by_90mPixel” was found to have an incorrect cell size of 30 meters, and was resampled to 90 meters (values at 90m cell centers did not change); and 2) the legend text on the Alaska map “BuildingExposure_Alaska.png” had incorrect percentages for the five building exposure classes, which was corrected.

Layer files are also provided, which allow the matching of the symbology to the PNG files included in this package.

近年来，美国大陆地区的火灾季节促使联邦机构探索增强当前燃料管理和森林恢复策略的情景，尤其是在火灾可能蔓延至相邻社区建筑物的区域。本数据发布包含两个（2）地理数据库栅格数据，代表了对美国大陆和阿拉斯加州高风险火灾发生区域的时空评估。这些栅格数据通过模拟火灾边界与建筑位置数据在1万至10万次火灾季节中相交生成，反映了2014年的植被状况和2020年的建筑位置。这些数据可用于情景规划，以帮助设计针对开发地区野火暴露的燃料处理计划。数据的大尺度特性支持了情景规划科学在分析和传播当前森林和燃料管理倡议大规模扩展中的应用。开发地区的野火影响引发了关于主动森林管理在减少联邦和私人荒野危险燃料中作用的广泛政策讨论。评估最有可能引发火灾蔓延至开发地区建筑物的区域需求日益迫切。这些空间数据被用于估算野火引发源，以帮助突出可针对燃料减少处理和其他风险缓解措施的目标区域。这些数据的第一版于2022年3月10日（https://doi.org/10.2737/RDS-2022-0015）发布。第二版将栅格值更改为每像素值而非每英亩值（https://doi.org/10.2737/RDS-2022-0015-2）。本第三版（发布于2023年9月12日）增加了阿拉斯加相应的暴露栅格数据；美国大陆的原始栅格数据在第二版中未作任何修改。本新版本还包括了元数据更新。2023年10月11日，我们更新了“SupplementsBuildingExposure_CONUS_MS.png”图例，其中“适度”类别的不正确标记已从总暴露的3%更正为35%。2023年12月18日，对阿拉斯加数据进行了两项更正：1）发现栅格“AK_BuildingExposure_by_90mPixel”的单元格大小为30米，现已重采样至90米（90米单元格中心的值未变）；2）阿拉斯加地图“BuildingExposure_Alaska.png”上的图例文本中五个建筑暴露类别的百分比不正确，现已更正。此外，还提供了图层文件，允许将符号与包含在本包中的PNG文件相匹配。