Terrestrial Condition Assessment (TCA) Tree Mortality 0 to 5 years

Direct Download (Raster Data Gateway) Objective: Characterize recent impacts to terrestrial ecosystems due to outbreaks of major invasive, non-native, and native forest insects and pathogens. Data: Data are derived from aerial detection surveys for tree defoliation and mortality from the USFS Forest Health Assessment and Applied Sciences Team (FHAAST) National Forest Pest Conditions Database. Polygons are created by aerial sketch mapping, and coded for defoliation and mortality, in addition to other damage codes. Defoliation and mortality layers were created from the polygon data and the attribute codes. The layers were merged to compensate for difficulties in identifying defoliation separately from mortality in hardwoods vs. conifer forests. Areas that were defoliated during three of the five years in each time period have significant impacts and likely are experiencing mortality, so these polygons were added to the mortality layer. The layer includes areas with mortality classed as “very light”. There is a one-year lag between the source data and the TCA Assessment year. For instance, the 2024 TCA Assessment used data from 2019-2023 aerial detection surveys to calculate the 0-5 year mortality metric, with all other assessment years following this same pattern. Data Format: Raster data are binary: (1) presence or (0) absence. Spatial Resolution: 240m. Source data: USFS FHAAST custom product Additional Resources: Details on Method Changes and Source Data Versions Overview of the Terrestrial Condition Assessment: TCA Hubsite or Landfire Office Hour Presentation Explore the results of the most recent assessment: TCA Interactive Data Viewer Learn more about the TCA KPI: TCA Dashboard直接下载（栅格数据网关（Raster Data Gateway）） 目标：表征近期重大入侵、非本土及本土森林昆虫与病原体暴发对陆地生态系统造成的影响。 数据：本数据集源自美国林务局（United States Forest Service, USFS）森林健康评估与应用科学团队（Forest Health Assessment and Applied Sciences Team, FHAAST）的国家森林病虫害状况数据库的航空探测调查数据，用于识别林木落叶与死亡情况。通过航空草图测绘生成多边形要素，并为其编码落叶、死亡及其他灾害类型。基于多边形数据与属性编码生成落叶图层与死亡图层。为解决硬阔林与针叶林场景下难以区分落叶与死亡的识别难题，对两层数据进行合并。若某时段内五年中有三年出现落叶，则该区域受影响显著且大概率存在林木死亡，因此将此类多边形并入死亡图层。该图层包含被归类为"极轻度"的死亡区域。源数据与陆地状况评估（Terrestrial Condition Assessment, TCA）评估年份存在一年的滞后性：例如2024年TCA评估采用2019-2023年的航空探测调查数据计算0-5年死亡指标，其余评估年份均遵循此规律。 数据格式：栅格数据为二值格式，(1) 代表存在，(0) 代表不存在。 空间分辨率：240米。 源数据：美国林务局FHAAST定制产品 附加资源：方法变更与源数据版本详情可参阅《陆地状况评估（TCA）概述》：可通过TCA中心站点（TCA Hubsite）或Landfire办公研讨会演示文稿获取。可借助TCA交互式数据查看器（TCA Interactive Data Viewer）探索最新评估结果。欲了解更多TCA关键绩效指标（Key Performance Indicator, KPI）相关信息，请访问TCA仪表盘（TCA Dashboard）。