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.
More Forest Service map services are available in ArcGIS Online
Shapefiles do not exist for all National Datasets.
This format has technical limitations which make them unsuitable for multiple datasets within this clearinghouse. These constraints include file size, attribute name length, field length, number of fields, limited data types, lack of topological representations and floating-point rounding errors leading to inevitable data loss.
The EDW Team is unable to support Shapefile exports for datasets that approach those limits. Esri File Geodatabases (FGDB) will remain available. Alternative formats including GeoPackage, GeoJSON, Character Separated Values (CSV), Map Services and Geospatial Discovery Tool offerings will be used to provide open format access to these National Datasets. Once these formats are available for all National Datasets, EDW will retire the shapefile format as a supported file exchange format.
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.
To obtain a KML file for any EDW dataset, go to the Geospatial Data Discovery Tool and search for the dataset. An option to download to KML is available from that website.
If you have questions, contact: SM.FS.data@usda.gov.
This feature class represents forest area estimates (and percent sampling error) by county for the year 2015. The data was generated from the Forest Inventory Analysis (FIA) using the EVALIDator web tool (http://apps.fs.fed.us/Evalidator/evalidator.jsp). The areas were calculated within county limits using the US Census Bureau's county spatial data (https://www.census.gov/geo/maps-data/data/cbf/cbf_counties.html). Features and attributes of the county layer were adapted to match attributes within the FIA database (FIADB) and features have been generalized by removing vertices to enhance performance. Future iterations of this dataset will be produced using refined methods and higher resolution spatial data.
This feature class represents forest area estimates (and percent sampling error) by county for the year 2016. The data was generated from the Forest Inventory Analysis (FIA) using the EVALIDator web tool (http://apps.fs.fed.us/Evalidator/evalidator.jsp). The areas were calculated within county limits using the US Census Bureau's county spatial data (https://www.census.gov/geo/maps-data/data/cbf/cbf_counties.html). Features and attributes of the county layer were adapted to match attributes within the FIA database (FIADB) and features have been generalized by removing vertices to enhance performance. Future iterations of this dataset will be produced using refined methods and higher resolution spatial data.
This feature class represents forest area estimates (and percent sampling error) by county for the year 2017. The data was generated from the Forest Inventory Analysis (FIA) using the EVALIDator web tool (http://apps.fs.fed.us/Evalidator/evalidator.jsp). The areas were calculated within county limits using the US Census Bureau's county spatial data (https://www.census.gov/geo/maps-data/data/cbf/cbf_counties.html). Features and attributes of the county layer were adapted to match attributes within the FIA database (FIADB) and features have been generalized by removing vertices to enhance performance. Future iterations of this dataset will be produced using refined methods and higher resolution spatial data.
