Probabilistic Wildfire Risk Burn Probability Hawaii (Image Service)

National burn probability (BP) and conditional fire intensity level (FIL) data were generated for Hawaii 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 = < 2 feet (ft); FIL2 = 2 < 4 ft.; FIL3 = 4 < 6 ft.; FIL4 = 6 < 8 ft.; FIL5 = 8 < 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.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.

美国森林服务密苏拉火灾科学实验室开发的地理空间火灾模拟（FSim）系统，针对夏威夷地区生成了一系列全国范围内的火灾概率（BP）和条件火灾强度级别（FIL）数据，旨在估算野火风险的概率成分（Finney 等，2011年）。FSim系统集成了天气生成、野火发生、火灾蔓延和火灾扑救等模块，旨在模拟在成千上万种假设的现代火灾季节下野火的产生和蔓延，以估算在当前景观条件和火灾管理措施下特定区域（即像素）发生燃烧的概率。本数据集中呈现的模型化BP和FIL数据以270米网格空间分辨率展示了美国大陆的情况。六个FIL级别对应于火焰长度类别，具体如下：FIL1 = < 2英尺（ft）；FIL2 = 2 < 4 ft；FIL3 = 4 < 6 ft；FIL4 = 6 < 8 ft；FIL5 = 8 < 12 ft；FIL6 = 12+ ft。由于它们表示条件概率（即表示发生火灾时在一定强度水平下燃烧的可能性），因此在使用FIL*_20160830数据进行风险评估时，必须与BP_20160830数据结合使用。本记录来源于美国农业部企业数据目录，该目录纳入了https://data.gov目录。本记录的数据资源包括以下内容：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。