This geospatial dataset was created by the USFS Forest Inventory and Analysis (FIA) program and the Remote Sensing Applications Center (RSAC) to show the extent, distribution, and forest type composition of the nation’s forests.
The dataset was created by modeling forest type from FIA plot data as a function of more than one hundred geospatially continuous predictor layers.
This process results in a view of forest type distribution in greater detail than is possible with the FIA plot data alone.
Nearly one-half million FIA sample plots nationwide were used to develop these models.
Among the predictor layers used were digital elevation models (DEM) and DEM derivatives; Moderate Resolution Spectroradiometer (MODIS) multi-date composites, vegetation indices and vegetation continuous fields; class summaries from the 1992 National Land Cover Dataset (NLCD); various ecologic zones; and summarized PRISM climate data.
Modeling was performed using a data mining package, Cubist/See5TM, which was loosely coupled with Leica Geosystems ImagineTM image processing software.
Image file downloads are zipped together with metadata. Metadata files can also be downloaded separately.
The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.