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.Intended use for these datasets include: helping quantify existing conditions of forested ecosystems and helping to prioritize Longleaf restoration efforts across four significant geographic areas described in America’s Longleaf Range-wide Conservation Plan for Longleaf (2009).Original metadata date is 03/06/2017. Minor metadata updates made on 9/14/2018, 07/02/2019, and 09/16/2024.

本数据集发布包包含24个GeoTIFF文件，对应阿拉巴马州、佛罗里达州与佐治亚州内的4处重点地理区域（Significant Geographic Areas，SGAs）。上述区域的空间范围均依据《2009年美国长叶松全域保护规划》（America’s Longleaf Range-wide Conservation Plan for Longleaf, 2009）划定。针对每个州内的各重点地理区域范围，均提供了栅格网格文件，其涵盖以下指标：每英亩松树断面积（Basal Area Per Acre，BAA）、所有树种每英亩断面积、每英亩松树株数（Trees Per Acre，TPA）、所有树种每英亩株数、优势森林类型分类、目视解译分类、区域以长叶松断面积为主的概率，以及区域以天然更新植被为主的概率。上述栅格表面通过机器学习模型构建FIA样地数据（2010-2015）与NAIP影像（2013）之间的关联关系生成，旨在辅助量化森林生态系统的现有状况，并为4处重点地理区域内的长叶松修复工作提供优先级排序依据。本数据集的预期应用场景包括：辅助量化森林生态系统的现有状况，并针对《2009年美国长叶松全域保护规划》中划定的4处重点地理区域，开展长叶松修复工作的优先级排序。元数据初始创建日期为2017年3月6日，后续分别于2018年9月14日、2019年7月2日及2024年9月16日进行了小幅更新。