USFS Analytical 2011 Tree Canopy Cover Standard Error 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 andPuerto 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:AnalyticalUSFS Tree Canopy Cover DatasetsUSFS Enterprise Data WarehouseCartographicUSFS Tree Canopy Cover DatasetsNLCDMulti-Resolution Land Characteristics (MRLC) ConsortiumUSFS Enterprise Data WarehouseThe Coastal Alaska TCC 2011 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. The dataset has data gaps due to persistent clouds/shadows in the Landsat images used for modeling. These data gaps are represented by the value 127.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（USFS）构建了多个版本的树木冠层覆盖率数据集，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、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：初始模型输出，被称为分析数据；初始输出的掩膜版本，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本，称为NLCD数据，该数据集包括从2011年和2016年名义年份数据集中减去得到的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自行对数据集进行详细的统计和不确定性分析，而对数据集的视觉表现性要求较低的用戶。2011年和2016年的名义年份数据集均可用。地图产品通过掩膜初始模型输出，以改善数据集的视觉表现。这些数据最适合那些在地图和插图目的上优先考虑数据视觉表现的用戶。2011年和2016年的名义年份数据集均可用。NLCD数据是掩膜数据的进一步处理结果。目标是为2011年、2016年的名义年份生成三个协调组件。这些组件包括：（1）2011年的数据集，（2）2016年的数据集，（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 + TCC变化 = 2016年TCC”的准则。这些NLCD数据最适合需要协调的三个组件数据堆栈的用戶，其中每个像素的值均满足“2011年TCC + TCC变化 = 2016年TCC”的准则。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）的数据集均可用，这些变化在识别到的区域中。这些树木冠层覆盖率数据可通过以下列出的一系列渠道和平台，供多个用户群体访问：分析数据——USFS树木冠层覆盖率数据集；USFS企业数据仓库；地图数据——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 2011 NLCD数据集包含一个单层。像素值范围为0至91%。背景由值255表示。由于用于建模的Landsat图像中存在持续的云层/阴影，该数据集存在数据缺口。这些数据缺口由值127表示。此记录来源于向https://data.gov目录提供数据的美国农业部企业数据库存。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。