Raster surfaces created from the cost-effective mapping of longleaf extent and condition using NAIP imagery and FIA data project

This data publication contains twenty-four GeoTIFF files for four significant geographic areas (SGAs) in Alabama, Florida, and Georgia. The extent of the SGAs are defined within the America's Longleaf Range-wide Conservation Plan for Longleaf (2009). A raster grid file is provided for the extent of each SGA within each state and shows the amount of pine basal area per acre (BAA), the amount of all species BAA, the amount of pine trees per acre (TPA), the amount of all species TPA, dominant forest type classification, visually identified classification, the probability of an area being composed primarily of longleaf pine BAA, and the probability of an area being composed primarily of regeneration. These raster surfaces were created using machine learning relationships between FIA plot information (2010-2015) and NAIP imagery (2013) and are intended to be used to help quantify existing conditions of forested ecosystems and help prioritize longleaf restoration efforts across the four SGAs.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.

本数据发布包含针对阿拉巴马州、佛罗里达州和乔治亚州四个重要地理区域（SGAs）的二十四张GeoTIFF文件。SGAs的范围定义在《美国长叶松范围保护计划》（2009年）中。为每个州内每个SGA的范围提供了栅格网格文件，显示了每英亩松树底面积（BAA）、所有树种BAA总量、每英亩松树数量（TPA）、所有树种TPA总量、主要森林类型分类、视觉识别分类、一个区域主要由长叶松BAA组成的可能性，以及一个区域主要由更新组成的可能性。这些栅格表面是利用机器学习技术在FIA样地信息（2010-2015年）与NAIP影像（2013年）之间建立的关系创建的，旨在帮助量化现有森林生态系统的状况，并协助在四个SGAs中优先考虑长叶松的恢复工作。本记录来自为https://data.gov目录提供数据的美国农业部企业数据目录。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。