Download National Datasets

Data collected and managed by Forest Service programs is available in a map service and two downloadable file formats – in a shape file and an ESRI file geodatabase. Metadata is available that describes the content, source, and currency of the data. You can filter the list by the topic categories in the menu at the left to help you find information you are interested in. You can view the feature classes in a single dataset by clicking on the name of the parent dataset at the bottom of the abstract.

Requests for KML/KMZ output
The Enterprise Data Warehouse Team tested exporting out to KML/KMZ files as a deliverable and due to the complexity and size of the datasets this has been unsuccessful. If you have questions please contact:

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Feature Classes Abstract

PBS Reference Quadrangle

ESRI geodatabase  (1MB)
shape file  (5MB)

Date of last refresh: May 22, 2019

FSTopo_Quadrangle_PL portrays the FSTopo quad footprint. Quadrangles with a Vintage > 0 (greater than zero) make up the FSTopo area of interest.Within the FSTopo database, features are represented as lines, points, or polygons, with descriptive subtype attribute codes attached to describe the cartographic symbology characteristics of features. Annotation features are represented as stand-alone map text collected relative to the scale of the topographic quadrangle. The FSTopo database was originally populated with Cartographic Feature File (CFF) data which was digitized from either the Primary Base Series (PBS) quadrangles or U.S. Geological Survey (USGS) topographic map series quadrangles. Over time, the legacy CFF data is being replaced (at least partially) with data from nationally standardized sources. Data completeness reflects the content of the original source graphic, digital correction guide information, stereoscopic source, monoscopic source, supplemented with cadastral source information. Forests and Quadrangles may have undergone revision at varying dates. The update revision uses a variety of sources, including Digital Orthophoto Quad (DOQ) imagery, NAIP imagery, cadastral information, other vector data sources, and field-prepared correction guides in hardcopy or digital format.