Science Standard Error (SE) Hawaii (Image Service)

The USDA Forest Service (USFS) builds two versions of percent tree canopy cover data, in order to serve needs of multiple user communities. These datasets encompass conterminous United States (CONUS), Coastal Alaska, Hawaii, and Puerto Rico and U.S. Virgin Islands (PRUSVI). The two versions of data within the v2021-4 TCC product suite include: The initial model outputs referred to as the Science data; And a modified version built for the National Land Cover Database and referred to as NLCD data. The Science data are the initial annual model outputs that consist of two images: percent tree canopy cover (TCC) and standard error. These data are best suited for users who will carry out their own detailed statistical and uncertainty analyses on the dataset, and place lower priority on the visual appearance of the dataset for cartographic purposes. Datasets for the years 2008 through 2021 are available. The Science data were produced using a random forests regression algorithm. For standard error data, the initial standard error estimates that ranged from 0 to approximately 45 were multiplied by 100 to maintain data precision (e.g., 45 = 4500). Therefore, standard error estimates pixel values range from 0 to approximately 4500. The value 65534 represents the non-processing area mask where no cloud or cloud shadow-free data are available to produce an output, and 65535 represents the background value. The Science data are accessible for multiple user communities, through multiple channels and platforms. For information on the NLCD TCC data and processing steps see the NLCD metadata. Information on the Science data and processing steps are included here. Data Download and Methods Documents: - https://data.fs.usda.gov/geodata/rastergateway/treecanopycover/ 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.

美国农业部林业服务局（USDA Forest Service，简称USFS）构建了两种版本的树木冠层覆盖率百分比数据，以满足多个用户群体的需求。这些数据集涵盖了美国本土、阿拉斯加沿海地区、夏威夷、波多黎各以及美属维尔京群岛（PRUSVI）。在v2021-4 TCC产品系列中，包含两种数据版本：最初的模型输出被称为科学数据；以及为国家级土地覆盖数据库构建的修改版，被称为NLCD数据。科学数据是初始年度模型输出，包括两张图像：树木冠层覆盖率（TCC）和标准误差。这些数据最适用于将自行进行详细统计和不确定性分析的用户，对于地图用途的数据可视化外观的优先级较低。2008年至2021年的数据集均可用。科学数据是利用随机森林回归算法生成的。对于标准误差数据，初始标准误差估计值（范围在0至约45之间）乘以100以保持数据精度（例如，45等于4500）。因此，标准误差估计的像素值范围在0至约4500之间。值65534表示非处理区域掩码，此处没有可用于生成输出的云层或无云阴影数据，而65535表示背景值。科学数据可通过多个渠道和平台供多个用户群体访问。有关NLCD TCC数据和处理步骤的信息，请参阅NLCD元数据。有关科学数据和处理步骤的信息包含在本处。数据下载和方法文档：- https://data.fs.usda.gov/geodata/rastergateway/treecanopycover/ 本记录摘自为 https://data.gov 目录提供数据的美国农业部企业数据清单。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。