Science Standard Error (SE) PR USVI (Image Service)

The USDA Forest Service (USFS) builds two versions of percent tree canopy cover (TCC) data to serve needs of multiple user communities. These datasets encompass the 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 raw model outputs referred to as the annual Science data; and - A modified version built for the National Land Cover Database referred to as NLCD data. They are available at the following locations: https://data.fs.usda.gov/geodata/rastergateway/treecanopycover https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_LandscapeAndWildlife NLCD: https://www.mrlc.gov/datahttps://apps.fs.usda.gov/fsgisx01/rest/services/RDW_LandscapeAndWildlife. 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 nominal years of 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 in unsigned 16 bit space (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.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.

美国农业部森林服务局（USFS）构建了两种版本的树木冠层覆盖率（TCC）数据集，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产品套件中，包含的两个版本数据分别为：- 被称为年度科学数据的原始模型输出；- 为国家土地覆盖数据库（NLCD）构建的修改版数据，称为NLCD数据。这些数据可在以下位置获取：https://data.fs.usda.gov/geodata/rastergateway/treecanopycover https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_LandscapeAndWildlife NLCD: https://www.mrlc.gov/datahttps://apps.fs.usda.gov/fsgisx01/rest/services/RDW_LandscapeAndWildlife。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。这些数据最适合那些将自行进行详细统计和不确定性分析的用戶，他们对数据集的视觉表现对于制图目的的优先级较低。2008年至2021年名义年份的数据集均可获取。科学数据是通过随机森林回归算法产生的。对于标准误差数据，初始标准误差估计值（范围从0到约45）乘以100，以保持数据在无符号16位空间中的精度（例如，45等于4500）。因此，标准误差估计的像素值范围从0到约4500。值65534代表无处理区域掩码，表示没有云或无云影数据可用于生成输出，而65535代表背景值。科学数据通过多个渠道和平台，向多个用户群体开放。关于NLCD TCC数据和处理步骤的信息，请参阅NLCD元数据。科学数据和处理步骤的信息包含在此处。此记录来源于为 https://data.gov 目录提供数据的美国农业部企业数据目录。此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。