US Forest Service - FIA Forest Type Groups (Generalized) of the Southeastern United States

Dec 18, 2013
This dataset portrays 11 forest group types across the southeastern United States. These data were derived from a product created by the USFS Forest Inventory and Analysis (FIA) program and the Remote Sensing Applications Center (RSAC).  The original dataset (accessible from the US Forest Service Website) consists of 28 forest type groups across the contiguous United States.

The original dataset was downloaded on 12/13/2013, clipped to the southeastern states,  and used in a generalization procedure which involved the application of a majority filter (8 neighbors, half replacement threshold) followed by a sieving process which removed pixels in groups of four or less by reassigning them to their nearest neighbor value.

Original description of the USFS FIA Dataset:


This dataset portrays 28 forest type groups across the contiguous United States. These data were derived from MODIS composite images from the 2002 and 2003 growing seasons in combination with nearly 100 other geospatial data layers, including elevation, slope, aspect, ecoregions, and PRISM climate data. The dataset was developed as a collaborative effort between the USFS Forest Inventory and Analysis and Forest Health Monitoring programs and the USFS Remote Sensing Applications Center.


The purpose of this dataset is to portray broad distribution patterns of forest cover in the United States and provide input to national scale modeling projects. The data should not be displayed at scales smaller than 1:2,000,000. Independent accuracy assessments were conducted using a 10% holdout of the training data, and are available through the data source contact.

Complete metadata is available on the USFS website in HTML format.
Data Provided By:
USDA Forest Service - Forest Inventory and Analysis (FIA) Program & Remote Sensing Applications Center (RSAC), Conservation Biology Institute
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Publication_Date: 2008 Time_Period_of_Content: 2004
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Conservation Biology Institute
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Although these data have been used by the USDA Forest Service, the USDA Forest Service shall not be held liable for improper or incorrect use of the data described and/or contained herein. These data are not legal documents and are not intended to be used as such. It is the responsibility of the data user to use the data appropriately and consistent within the limitations of geospatial data in general and these data in particular. Using the data for other than their intended purpose may yield inaccurate or misleading results. The USDA Forest Service gives no warranty, expressed or implied, as to the accuracy, reliability, or completeness of these data. It is strongly recommended that these data are directly acquired from the USDA Forest Service server and not indirectly through other sources which may have changed the data in some way. Although these data have been processed successfully on a computer system at the USDA Forest Service, no warranty expressed or implied is made regarding the utility of the data on another system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. This disclaimer applies both to individual use of the data and aggregate use with other data. The USDA Forest Service reserves the right to correct, update or modify this data and related materials without notification.
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Conservation Biology Institute

The Conservation Biology Institute (CBI) provides scientific expertise to support the conservation and recovery of biological diversity in its natural state through applied research, education, planning, and community service.