USFS Analytical 2016 Tree Canopy Cover Coastal AK (Image Service)

The USDA Forest Service (USFS) builds multiple versions of percent tree canopy cover data, in order to serve needs of multiple user communities. These datasets encompass CONUS, Coastal Alaska, Hawaii, U.S. Virgin Islands and Puerto Rico. There are three versions of data within the 2016 TCC Product Suite, which include: The initial model outputs referred to as the Analytical data; A masked version of the initial output referred to as Cartographic data; And a modified version built for the National Land Cover Database and referred to as NLCD data, which includes a canopy cover change dataset derived from subtraction of datasets for the nominal years of 2011 and 2016.The Analytical data are the initial model outputs generated in the production workflow. 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 2011 and 2016 are available. The Cartographic products mask the initial model outputs to improve the visual appearance of the datasets. These data are best suited for users who prioritize visual appearance of the data for cartographic and illustrative purposes. Datasets for the nominal years of 2011 and 2016 are available. The NLCD data are the result of further processing of the masked data. The goal was to generate three coordinated components. The components are (1) a dataset for the nominal year of 2011, (2) a dataset for the nominal year of 2016, and (3) a dataset that captures the change in canopy cover between the two nominal years of 2011 and 2016. For the NLCD data, the three components meet the criterion of 2011 TCC + change in TCC = 2016 TCC. These NLCD data are best suited for users who require a coordinated three-component data stack where each pixel's values meet the criterion of 2011 TCC + change in TCC = 2016 TCC. Datasets for the nominal years of 2011 and 2016 are available, as well as a dataset that captures the change (loss or gain) in canopy cover between those two nominal years of 2011 and 2016, in areas where change was identified. These tree canopy cover data are accessible for multiple user communities, through multiple channels and platforms, as listed below: Analytical USFS Tree Canopy Cover Datasets USFS Enterprise Data Warehouse Cartographic USFS Tree Canopy Cover Datasets NLCD Multi-Resolution Land Characteristics (MRLC) Consortium USFS Enterprise Data Warehouse The Coastal Alaska TCC 2016 NLCD dataset is comprised of a single layer. The pixel values range from 0 to 91 percent. The background is represented by the value 255. Data gaps (which are explained in more detail below) are represented by the value 127.The NLCD data include three components: 2011 NLCD TCC, 2016 NLCD TCC, and 2011-to-2016 change in TCC. For nearly all pixels, the values meet the criterion of 2011 TCC + change in TCC = 2016 TCC. However, there are some pixels with no TCC values because of a lack of imagery in persistently cloudy areas. These data gaps were given a value 127. In summary, if a data gap was present in the original 2011 or 2016 data, that data gap was carried through to all three components of the NLCD data. Recall that the three NLCD components (2011 NLCD TCC, 2016 NLCD TCC, and change between the two nominal years) are intended to coordinate and line up. The USFS's GTAC also makes available the original 2011 and 2016 TCC datasets (prior to development of any integrated data stack for NLCD) that are output as part of the production workflows. If a user would like the original datasets for the nominal years of 2011 and 2016 (prior to integrating into a common data stack for NLCD), they should visit https://data.fs.usda.gov/geodata/rastergateway/treecanopycover/and download the FS-Cartographic version of the 2011 and/or 2016 datasets for their cartographic applications.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机构（USFS）构建了多个版本的树木冠层覆盖率百分比数据集，以满足多个用户群体的需求。这些数据集涵盖了美国大陆、阿拉斯加沿海地区、夏威夷、美属维尔京群岛和波多黎各。在2016年TCC产品套件中包含三个版本的数据，具体包括：最初的模型输出，被称为分析数据；对初始输出进行掩膜处理后的版本，被称为地图数据；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，该数据集通过从2011年和2016年的名义年份数据集中减去数据集，衍生出一个冠层覆盖率变化数据集。分析数据是生产流程中生成的初始模型输出。这些数据最适合那些将在数据集上自行进行详细统计和不确定性分析，且对数据集的地图视觉表现优先级较低的用戶。2011年和2016年的名义年份数据集均可提供。地图产品对初始模型输出进行掩膜处理，以提升数据集的视觉表现。这些数据最适合那些在地图和演示目的上优先考虑数据视觉表现的用戶。NLCD数据是对掩膜数据进行进一步处理的结果。目标是生成三个协调一致的组件：（1）2011年的名义年份数据集；（2）2016年的名义年份数据集；（3）捕捉2011年和2016年两个名义年份之间冠层覆盖率变化的数據集。对于NLCD数据，这三个组件满足2011年TCC加上TCC变化等于2016年TCC的标准。这些NLCD数据最适合那些需要协调的三组件数据堆栈，其中每个像素的值满足2011年TCC加上TCC变化等于2016年TCC的标准。2011年和2016年的名义年份数据集以及捕捉2011年和2016年两个名义年份之间冠层覆盖率变化（损失或增加）的数据集（仅在变化被识别的区域）均可提供。这些树木冠层覆盖率数据可通过以下列出的多个渠道和平台供多个用户群体访问：分析型USFS树木冠层覆盖率数据集、USFS企业数据仓库、地图型USFS树木冠层覆盖率数据集、NLCD多分辨率土地特征（MRLC）联盟、USFS企业数据仓库。阿拉斯加沿海地区TCC 2016 NLCD数据集包含一个单一图层。像素值范围从0到91%。背景用值255表示。数据缺失（以下将详细说明）用值127表示。NLCD数据包括三个组件：2011年NLCD TCC、2016年NLCD TCC以及2011年至2016年的TCC变化。对于几乎所有像素，其值均满足2011年TCC加上TCC变化等于2016年TCC的标准。然而，由于持续多云区域的影像不足，一些像素没有TCC值。这些数据缺失被赋予值127。总之，如果原始的2011年或2016年数据中存在数据缺失，则该数据缺失将传递到NLCD数据的三个组件中。请记住，NLCD的三个组件（2011年NLCD TCC、2016年NLCD TCC以及两个名义年份之间的变化）旨在协调和对应。USFS的GTAC还提供了原始的2011年和2016年TCC数据集（在NLCD任何集成数据堆栈开发之前生成），这些数据集作为生产流程的一部分输出。如果用户需要2011年和2016年的原始数据集（在整合到NLCD公共数据堆栈之前），他们应访问https://data.fs.usda.gov/geodata/rastergateway/treecanopycover/并下载2011年和/或2016年的FS-地图版本数据集，以用于他们的地图应用。本记录源自为https://data.gov目录提供数据的USDA企业数据目录。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。