Raster surfaces created from the mapping of longleaf extent and condition using Landsat and FIA data project
dataset
posted on 2024-09-13, 16:23authored byJohn S. Hogland, Joseph R. St. Peter, Nathaniel M. Anderson
This data publication contains nine GeoTIFF files for the Fort Stewart-Altamaha significant geographic area (SGA) in Georgia. The extent of the SGA is defined within the America’s Longleaf Range-wide Conservation Plan for Longleaf (2009). A raster grid file is provided for the extent of the SGA and shows the amount of pine basal area per acre (BAA), the amount of hardwood species BAA, the amount of pine trees per acre (TPA), the amount of hardwood species TPA, dominant forest type classification, the probability of an area being composed primarily of regeneration, the probability of longleaf pine being present in an area, a raster of pine species presence or absence and a raster of hardwood species presence or absence. These raster surfaces were created using machine learning relationships between USDA Forest Service, Forest Inventory and Analysis (FIA) plot information (2010-2015) and normalized Landsat imagery (2013-2015) 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 the Fort Stewart-Altamaha significant geographic areas described in America’s Longleaf Range-wide Conservation Plan for Longleaf (2009). Data were originally published on 09/14/2018. Minor metadata updates made on 01/08/2020.
These data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the following citation:
Hogland, John S.; St. Peter, Joseph R.; Anderson, Nathaniel M. 2018. Raster surfaces created from the mapping of longleaf extent and condition using Landsat and FIA data project. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2018-0039