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.
Feature Classes
Abstract
Collaborative Forest Landscape Restoration Program: Line
CFLRP_LN represents Collaborative Forest Landscape Restoration (CFLR) Program project activities in polyline vector format. Also included are other High Priority Restoration projects that are funded outside of CFLR. It is important to note that this layer does not contain all of the approved project activities. Instead, these are the accomplishments that project groups uploaded to the Forest Service corporate data holdings in FACTS. As spatial data is a new requirement for the program, improvements to the quality and comprehensiveness of this data is expected in coming years. The Forest Service's Natural Resource Manager (NRM) Forest Activity Tracking System (FACTS) is the agency standard for managing information about activities related to fire/fuels, silviculture, and invasive species. FACTS is an activity tracking application for all levels of the Forest Service. The application allows tracking and monitoring of National Environmental Policy Act (NEPA) decisions as well as the ability to create and manage Knutson-Vandenberg (KV) trust fund plans at the timber sale level. This application complements its companion NRM applications, which cover the spectrum of living and non-living natural resource information.
CFLRP_PL represents Collaborative Forest Landscape Restoration (CFLR) Program project activities in the format of a polygon vector. Also included are other High Priority Restoration projects that are funded outside of CFLR. It is important to note that this layer does not contain all of the approved project activities. Instead, these are the accomplishments that project groups uploaded to the Forest Service corporate data holdings in FACTS. As spatial data is a new requirement for the program, improvements to the quality and comprehensiveness of this data is expected in coming years. The Forest Service's Natural Resource Manager (NRM) Forest Activity Tracking System (FACTS) is the agency standard for managing information about activities related to fire/fuels, silviculture, and invasive species. FACTS is an activity tracking application for all levels of the Forest Service. The application allows tracking and monitoring of National Environmental Policy Act (NEPA) decisions as well as the ability to create and manage Knutson-Vandenberg (KV) trust fund plans at the timber sale level. This application complements its companion NRM applications, which cover the spectrum of living and non-living natural resource information.
CFLRP_PL represents Collaborative Forest Landscape Restoration (CFLR) Program project activities in the format of a polygon vector. Also included are other High Priority Restoration projects that are funded outside of CFLR. It is important to note that this layer does not contain all of the approved project activities. Instead, these are the accomplishments that project groups uploaded to the Forest Service corporate data holdings in FACTS. As spatial data is a new requirement for the program, improvements to the quality and comprehensiveness of this data is expected in coming years. The Forest Service's Natural Resource Manager (NRM) Forest Activity Tracking System (FACTS) is the agency standard for managing information about activities related to fire/fuels, silviculture, and invasive species. FACTS is an activity tracking application for all levels of the Forest Service. The application allows tracking and monitoring of National Environmental Policy Act (NEPA) decisions as well as the ability to create and manage Knutson-Vandenberg (KV) trust fund plans at the timber sale level. This application complements its companion NRM applications, which cover the spectrum of living and non-living natural resource information.
StwrdCntrctng_LN (Stewardship Contracting: Line) depicts the linear activities within Stewardship Contracting Project Boundary. Activities are implemented through stewardship contracts or agreements and are self-reported by Forest Service Units through the FACTS (Forest Service Activity Tracking System) database. This feature class is derived from Activity linear features and FACTS Activities tabular data located in the EDW.
StwrdshpCntrctng_PT (Stewardship Contracting: Point) depicts the locations of activities within Stewardship Contracting Project Boundary. Activities are implemented through stewardship contracts or agreements and are self-reported by Forest Service Units through the FACTS Service Activity Tracking System) database. This feature class is derived from Activity point features and FACTS Activities tabular data located in the EDW.
StwrdshpCntrctng_PL (Stewardship Contracting: Polygon) depicts the area of activities within Stewardship Contracting Project Boundary. Activities are implemented through stewardship contracts or agreements and are self-reported by Forest Service Units through the FACTS Service Activity Tracking System) database. This feature class is derived from Activity polygon features and FACTS Activities tabular data located in the EDW.
WBBS_LN depicts the area of activities to implement the Western Bark Beetle Strategy. Activities were self-reported by field units, and center around three main objectives: increasing safety to ensure that people and community infrastructure are protected from the hazards of falling bark beetle-killed trees and elevated wildfire potential, facilitating recovery to re-establish forests damaged by bark beetles, and cultivating resiliency to prevent or mitigate future bark beetle impacts. WBBS ended in FY16 and was not renewed, so it is no longer a requirement to track WBBS accomplishments. It became an optional entry to the National Resource Management (NRM) database beginning in FY2017.
Purpose:
This data represents activities entered through FACTS (Forest Service Activity Tracking System) to implement the Western Bark Beetle Strategy. It is important to note that this data layer does not contain all of the activities under taken by fiscal year because the data is self-reported and may not be complete. As spatial data is a new requirement for the program, we hope to improve the quality and comprehensiveness of this data in coming years. Activities were self-reported by field units, and center around three main objectives: increasing safety to ensure that people and community infrastructure are protected from the hazards of falling bark beetle-killed trees and elevated wildfire potential, facilitating recovery to re-establish forests damaged by bark beetles, and cultivating resiliency to prevent or mitigate future bark beetle impacts.
WBBS_PT depicts the location of activities to implement the Western Bark Beetle Strategy. Activities were self-reported by field units, and center around three main objectives: increasing safety to ensure that people and community infrastructure are protected from the hazards of falling bark beetle-killed trees and elevated wildfire potential, facilitating recovery to re-establish forests damaged by bark beetles, and cultivating resiliency to prevent or mitigate future bark beetle impacts. WBBS ended in FY16 and was not renewed, so it is no longer a requirement to track WBBS accomplishments. It became an optional entry to the National Resource Management (NRM) database beginning in FY2017.
Purpose:
This data represents activities entered through FACTS (Forest Service Activity Tracking System) to implement the Western Bark Beetle Strategy. It is important to note that this data layer does not contain all of the activities under taken by fiscal year because the data is self-reported and may not be complete. As spatial data is a new requirement for the program, we hope to improve the quality and comprehensiveness of this data in coming years. Activities were self-reported by field units, and center around three main objectives: increasing safety to ensure that people and community infrastructure are protected from the hazards of falling bark beetle-killed trees and elevated wildfire potential, facilitating recovery to re-establish forests damaged by bark beetles, and cultivating resiliency to prevent or mitigate future bark beetle impacts.
WBBS_PL depicts the area of activities to implement the Western Bark Beetle Strategy. Activities were self-reported by field units, and center around three main objectives: increasing safety to ensure that people and community infrastructure are protected from the hazards of falling bark beetle-killed trees and elevated wildfire potential, facilitating recovery to re-establish forests damaged by bark beetles, and cultivating resiliency to prevent or mitigate future bark beetle impacts. WBBS became an optional entry beginning in FY2017. WBBS ended in FY16 and was not renewed, so it is no longer a requirement to track WBBS accomplishments. It became an optional entry to the National Resource Management (NRM) database beginning in FY2017.
Purpose:
This data represents activities entered through FACTS (Forest Service Activity Tracking System) to implement the Western Bark Beetle Strategy. It is important to note that this data layer does not contain all of the activities under taken by fiscal year because the data is self-reported and may not be complete. As spatial data is a new requirement for the program, we hope to improve the quality and comprehensiveness of this data in coming years. Activities were self-reported by field units, and center around three main objectives: increasing safety to ensure that people and community infrastructure are protected from the hazards of falling bark beetle-killed trees and elevated wildfire potential, facilitating recovery to re-establish forests damaged by bark beetles, and cultivating resiliency to prevent or mitigate future bark beetle impacts.
The purpose of this dataset is to display the extent of existing Terrestrial Ecological Unit inventory (TEUI) data internally to facilitate inter-agency collaboration. The feature class for this dataset will display polygons of the ecological unit plots, acreages, and percent coverages of National Forest and Grassland administrative boundaries using their common names, with a percent coverage for Land Type and acres of forest per plot.
This Existing Vegetation (EVeg) polygon feature class is a CALVEG (Classification and Assessment with LANDSAT of Visible Ecological Groupings) map product from a scale of 1:24,000 to 1:100,000. The geographic extent entails the northeastern portion of CALVEG Zone 6, Central Coast. Source imagery for this layer ranges from the year 1998 to 2015. The CALVEG classification system was used for vegetation typing and crosswalked to other classification systems in this database including the California Wildlife Habitat Relationship System (CWHR).
This Existing Vegetation (EVeg) polygon feature class is a CALVEG (Classification and Assessment with LANDSAT of Visible Ecological Groupings) map product from a scale of 1:24,000 to 1:100,000 for CALVEG Zone 5, Central Valley. Source imagery for this layer ranges from the year 1998 to 2015. The CALVEG classification system was used for vegetation typing and crosswalked to other classification systems in this database including the California Wildlife Habitat Relationship System (CWHR).
This Existing Vegetation (Eveg) polygon feature class is a CALVEG (Classification and Assessment with LANDSAT of Visible Ecological Groupings) map product from a scale of 1:24,000 to 1:100,000 for CALVEG Zone 9, the Great Basin. Source imagery for this layer ranges from the year 1999 to 2009. The CALVEG classification system was used for vegetation typing and crosswalked to other classification systems in this database including the California Wildlife Habitat Relationship System (CWHR).
This Existing Vegetation (Eveg) polygon feature class is a CALVEG (Classification and Assessment with LANDSAT of Visible Ecological Groupings) map product from a scale of 1:24,000 to 1:100,000. The geographic extent entails the northeastern portion of CALVEG Zone 1 (North Coast), Ecoregion Section M261A. Source imagery for this layer ranges from the year 1998 to 2015. The CALVEG classification system was used for vegetation typing and crosswalked to other classification systems in this database. USGS Land Use / Land Cover Anderson 1 classification system is included in the database to meet national standard requirements. Mapping standards meet requirements of the USDA Forest Service as defined by the FS GIS data dictionary, FGDC Vegetation standards and the FS Existing Vegetation Classification and Mapping Technical Guide. Regional add-ons are retained for crosswalking to the California Wildlife Habitat Relationship System (CWHR).
This Existing Vegetation (Eveg) polygon feature class is a CALVEG (Classification and Assessment with LANDSAT of Visible Ecological Groupings) map product from a scale of 1:24,000 to 1:100,000. The geographic extent entails the middle portion of CALVEG Zone 1 (North Coast), Ecoregion Section M261B. Source imagery for this layer ranges from the year 1998 to 2015. The CALVEG classification system was used for vegetation typing and crosswalked to other classification systems in this database including the California Wildlife Habitat Relationship System (CWHR).
This Existing Vegetation (Eveg) polygon feature class is a CALVEG (Classification and Assessment with LANDSAT of Visible Ecological Groupings) map product from a scale of 1:24,000 to 1:100,000. The geographic extent entails the western portion of CALVEG Zone 1 (North Coast), Ecoregion Section 263A. Source imagery for this layer ranges from the year 1998 to 2015. The CALVEG classification system was used for vegetation typing and crosswalked to other classification systems in this database including the California Wildlife Habitat Relationship System (CWHR).
This Existing Vegetation (Eveg) polygon feature class is a CALVEG (Classification and Assessment with LANDSAT of Visible Ecological Groupings) map product from a scale of 1:24,000 to 1:100,000. The geographic extent entails CALVEG Zone 2, North Interior. Source imagery for this layer ranges from the year 1999 to 2016. The CALVEG classification system was used for vegetation typing and crosswalked to other classification systems in this database including the California Wildlife Habitat Relationship System (CWHR).
This Existing Vegetation (Eveg) polygon feature class is a CALVEG (Classification and Assessment with LANDSAT of Visible Ecological Groupings) map product from a scale of 1:24,000 to 1:100,000. The geographic extent entails CALVEG Zone3, the North Sierra. Source imagery for this layer ranges from the year 2000 - 2014. The CALVEG classification system was used for vegetation typing and crosswalked to other classification systems in this database including the California Wildlife Habitat Relationship System (CWHR).
This Existing Vegetation (Eveg) polygon feature class is a CALVEG (Classification and Assessment with LANDSAT of Visible Ecological Groupings) map product from a scale of 1:24,000 to 1:100,000 for CALVEG Zone 7, the South Coast. Source imagery for this layer ranges from the year 2002 to 2010. The CALVEG classification system was used for vegetation typing and crosswalked to other classification systems in this database including the California Wildlife Habitat Relationship System (CWHR).
This Existing Vegetation (Eveg) polygon feature class is a CALVEG (Classification and Assessment with LANDSAT of Visible Ecological Groupings) map product from a scale of 1:24,000 to 1:100,000 for CALVEG Zone 8, the South Interior. Source imagery for this layer ranges from the year 2000 to 2008. The CALVEG classification system was used for vegetation typing and crosswalked to other classification systems in this database including the California Wildlife Habitat Relationship System (CWHR).
This Existing Vegetation (Eveg) polygon feature class is a CALVEG (Classification and Assessment with LANDSAT of Visible Ecological Groupings) map product from a scale of 1:24,000 to 1:100,000 for CALVEG Zone 4, the South Sierra. Source imagery for this layer ranges from the year 1995 - 2016. The CALVEG classification system was used for vegetation typing and crosswalked to other classification systems in this database including the California Wildlife Habitat Relationship System (CWHR).
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.
Historical Woodland Density of the Conterminous U.S., 1873
This dataset includes polygons with a minimum of 40 acres of woodlands per square mile as depicted in William H. Brewer’s 1873 map of woodland density and covers the conterminous United States. Each polygon has been labeled with the density category (1-5) depicted on the original map. This dataset was created by georeferencing a scanned version of the source map and by heads-up digitizing each woodland density polygon.
In 2021, the Federal Accounting Standards Advisory Board (FASAB) initiated a tracking mechanism that requires all federal agencies that own or manage land to categorize the acres of those lands into three broad categories of predominant land use and produce an annual report. In this context the USDA Forest Service has considered the definitions of each category and classified all acres of National Forest System (NFS) lands into 1. Conservation/Preservation, 2. Commercial, 3. Operational designations. Those designations are additionally separated by whether the lands have been identified as Stewardship lands, or if the lands were acquired by the federal government for General Plant, Property & Equipment purposes. In response, the Washington Office Lands and Realty Management staff determined the appropriate data sources for this annual report and developed classification rules and a geoprocessing methodology to overlay and extract a seamless and complete NFS acreage total by the required categorizations. The acres of land in each category are dynamic, as the status of surface ownership may change from year to year based on administrative and congressional designations, purchases, dispositions, or exchanges. The data used to generate the report are updated weekly, and this translates into continuously refreshed reporting and mapping products. Presented here is the spatial representation of the rule-based land category designations of NFS lands.
The FASAB land categories are defined as follows:
Conservation/ Preservation: land or land rights that are predominantly used for conservation or preservation purposes.
Conservation: protection and proper use of natural resources.
Preservation: the protection of buildings, objects, and landscapes.
Commercial: land and permanent land rights that are predominately used to generate inflows of resources derived from the land itself or activities that nonfederal third parties perform on the land, usually through special use permits, right-of-way grants, and leases.
Operational: land that is used for general or administrative purposes.
The Land_FASAB dataset covers National Forest System Lands including federally owned units of forest, range, and related land consisting of national forests, purchase units, national grasslands, land utilization project areas, experimental forest areas, experimental range areas, designated experimental areas, other land areas, water areas, and interests in lands that are administered by the U.S. Department of Agriculture (USDA) Forest Service or designated for administration through the Forest Service.
Additional information on this FASAB and the geoprocessing used to produce this dataset can be found here: https://www.fs.usda.gov/sites/default/files/Land-FASAB-dataset-FAQ.pdf
The Monitoring Trends in Burn Severity (MTBS) Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (including wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico from the beginning of the Landsat Thematic Mapper archive to the present. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic scales and are intended to meet a variety of information needs that require consistent data about fire effects through space and time. This map layer is a vector polygon shapefile of the location of all currently inventoried fires occurring between calendar year 1984 and the current MTBS release for CONUS, Alaska, Hawaii and Puerto Rico. Please visit https://mtbs.gov/announcements to determine the current release. Fires omitted from this mapped inventory are those where suitable satellite imagery was not available or fires were not discernable from available imagery.
The Monitoring Trends in Burn Severity (MTBS) Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (including wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico from the beginning of the Landsat Thematic Mapper archive to the present. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic scales and are intended to meet a variety of information needs that require consistent data about fire effects through space and time. This map layer is a vector point shapefile of the location of all currently inventoried fires occurring between calendar year 1984 and the current MTBS release for CONUS, Alaska, Hawaii and Puerto Rico. Please visit https://mtbs.gov/announcements to determine the current release. Fires omitted from this mapped inventory are those where suitable satellite imagery was not available or fires were not discernable from available imagery.
Themes: planningcadastre, boundaries, national geospatial data asset, land use-land cover, ngda, forest name, nfs lands, alp land dataset, proclaimed forest, land status, usda forest service
This dataset is intended for read-only use. The purpose of these data is to provide display, identification, and analysis tools for determining current boundary information for Forest Service managers, GIS specialists, and others.
This dataset is intended for read-only use. The purpose of these data is to provide display, identification, and analysis tools for determining current boundary information for Forest Service managers, GIS specialists, and others.
Purpose:
This dataset represents a land survey coordinate, derived from a Geographic Coordinate Database file (GCDB), survey plat, or captured from a Cartographic Feature File (CFF) land net coverage, or created in the Land Status Records System Editor application. These data also include points generated by calculating an aliquot breakdown of a section.
The USDA Forest Service Rapid Assessment of Vegetation Condition after Wildfire (RAVG) program produces geospatial and related data representing post-fire vegetation condition by means of standardized change detection methods based on Landsat or similar multispectral satellite imagery. RAVG data products characterize the impact of disturbance (fire) on vegetation within a fire perimeter, and include estimates of percent change in live basal area (BA), percent change in canopy cover (CC), and the standardized composite burn index (CBI). Standard thematic products include 7-class percent change in basal area (BA-7), 5-class percent change in canopy cover (CC-5), and 4-class CBI (CBI-4). Contingent upon the availability of suitable imagery, RAVG products are prepared for all wildland fires reported within the conterminous United States (CONUS) that include at least 1000 acres of forested National Forest System (NFS) land (500 acres for Regions 8 and 9 as of 2016). Data for individual fires are typically made available within 45 days after fire containment ("initial assessments"). Late-season fires, however, may be deferred until the following spring or summer ("extended assessments"). Annual national mosaics of each thematic product are prepared at the end of the fire season and updated, as needed, when additional fires from the given year are processed. The annual mosaics are available via the Raster Data Warehouse (RDW, see https://apps.fs.usda.gov/arcx/rest/services/RDW_Wildfire). A combined perimeter dataset, including the burn boundaries for all published Forest Service RAVG fires from 2012 to the present, is likewise updated as needed (at least annually).
Purpose:
RAVG data are produced to assist in post-fire vegetation management planning. They are intended to enhance decision-making capabilities and reduce planning and implementation costs associated with post-fire vegetation management. The primary benefit is the cost-effective and efficient identification of potential areas of resource concern following wildfire. RAVG complements the Burned Area Emergency Response (BAER) Imagery Support program, which provides information integral to determining fire effects on soils, by providing information about fire effects on existing vegetation. RAVG analysis produces a first approximation of areas that may require reforestation treatments after a fire in order to re-establish forest cover and restore associated ecosystem services. This initial approximation may be followed by site-specific diagnosis and development of a silvicultural prescription to more precisely identify reforestation needs.
RAVG Perimeters - Postfire Vegetation Change by Forest
The USDA Forest Service Rapid Assessment of Vegetation Condition after Wildfire (RAVG) program produces geospatial and related data representing post-fire vegetation condition by means of standardized change detection methods based on Landsat or similar multispectral satellite imagery. RAVG data products characterize the impact of disturbance (fire) on vegetation within a fire perimeter, and include estimates of percent change in live basal area (BA), percent change in canopy cover (CC), and the standardized composite burn index (CBI). Standard thematic products include 7-class percent change in basal area (BA-7), 5-class percent change in canopy cover (CC-5), and 4-class CBI (CBI-4). Contingent upon the availability of suitable imagery, RAVG products are prepared for all wildland fires reported within the conterminous United States (CONUS) that include at least 1000 acres of forested National Forest System (NFS) land (500 acres for Regions 8 and 9 as of 2016). Data for individual fires are typically made available within 45 days after fire containment ("initial assessments"). Late-season fires, however, may be deferred until the following spring or summer ("extended assessments"). Annual national mosaics of each thematic product are prepared at the end of the fire season and updated, as needed, when additional fires from the given year are processed. The annual mosaics are available via the Raster Data Warehouse (RDW, see https://apps.fs.usda.gov/arcx/rest/services/RDW_Wildfire). A combined perimeter dataset, including the burn boundaries for all published Forest Service RAVG fires from 2012 to the present, is likewise updated as needed (at least annually). This current dataset is derived from the combined perimeter dataset and adds spatial information about land ownership (National Forest) and wilderness status, as well as the areal extent of forested land (pre-fire) that experience a modeled BA loss above 50 and 75 percent.
Purpose:
RAVG data are produced to assist in post-fire vegetation management planning. They are intended to enhance decision-making capabilities and reduce planning and implementation costs associated with post-fire vegetation management. The primary benefit is the cost-effective and efficient identification of potential areas of resource concern following wildfire. RAVG complements the Burned Area Emergency Response (BAER) Imagery Support program, which provides information integral to determining fire effects on soils, by providing information about fire effects on existing vegetation. RAVG analysis produces a first approximation of areas that may require reforestation treatments after a fire in order to re-establish forest cover and restore associated ecosystem services. This initial approximation may be followed by site-specific diagnosis and development of a silvicultural prescription to more precisely identify reforestation needs. The addition of land ownership, wilderness status, and the extent of high percent basal area loss allows users to assess the location and extent of need more precisely.
These data are a point feature class that provides the location of Research and Development's offices across the United States.
Purpose:
Forest Service employees need to use this information. The public and various other stakeholders also have an interest in being able to discover and display where Forest Service Research does its work. Therefore, this geodatabase provides locations and descriptions of these facilities. Facilities include both headquarters and laboratory/research locations.
This dataset is the official data for the 2001 Roadless Area Conservation Rule (36 CFR 294, Subpart B). It contains the Inventoried Roadless Areas (IRAs) designated by the 2001 Roadless Area Conservation Rule and used in the associated Final Environmental Impact Statement. The EIS analysis team used this spatial data to assess the impacts of roadless area alternatives on Forest Service policies, use of the National Forests and the surrounding environment. It was used for analysis in combination with national characterization layers, such as ambient human population, forest mortality risk to insects and diseases, current land cover types, and others. All of these datasets include the entire lower 48 states and Alaska, and are coarse resolution. The public also had a need to know where IRAs were located in their area and across the nation. The data was used to create a set of detailed maps published both on the web and in hard copy form, (Volume2, Roadless Area Conservation EIS). NOTE 1: The attribute descriptions are based on forest plan direction prior to adoption of the Roadless Rule. This information is displayed for historical reference. However, the Roadless Rule prohibits road construction in all IRAs, regardless of the attribute descriptions. NOTE 2: Idaho and Colorado have adopted state-specific roadless rules. The Idaho and Colorado Roadless Areas boundaries, represented in separate datasets, supersede the 2001 Roadless Area Boundaries.
Purpose:
This dataset is the official data for the 2001 Roadless Area Conservation Rule (36 CFR 294, Subpart B). It contains the Inventoried Roadless Areas (IRAs) designated by the 2001 Roadless Area Conservation Rule and used in the associated Final Environmental Impact Statement. The EIS analysis team used this spatial data to assess the impacts of roadless area alternatives on Forest Service policies, use of the National Forests and the surrounding environment. It was used for analysis in combination with national characterization layers, such as ambient human population, forest mortality risk to insects and diseases, current land cover types, and others. All of these datasets include the entire lower 48 states and Alaska, and are coarse resolution. The public also had a need to know where IRAs were located in their area and across the nation. The data was used to create a set of detailed maps published both on the web and in hard copy form, (Volume2, Roadless Area Conservation EIS). NOTE 1: The attribute descriptions are based on forest plan direction prior to adoption of the Roadless Rule. This information is displayed for historical reference. However, the Roadless Rule prohibits road construction in all IRAs, regardless of the attribute descriptions. NOTE 2: Idaho and Colorado have adopted state-specific roadless rules. The Idaho and Colorado Roadless Areas boundaries, represented in separate datasets, supersede the 2001 Roadless Area Boundaries.
Spatial wildfire occurrence data for the United States, 1992-2020 (6th Edition)
This data publication contains a spatial database of wildfires that occurred in the United States from 1992 to 2020. It is the fifth update of a publication originally generated to support the national Fire Program Analysis (FPA) system. The wildfire records were acquired from the reporting systems of federal, state, and local fire organizations. The following core data elements were required for records to be included in this data publication: discovery date, final fire size, and a point location at least as precise as a Public Land Survey System (PLSS) section (1-square mile grid). The data were transformed to conform, when possible, to the data standards of the National Wildfire Coordinating Group (NWCG), including an updated wildfire-cause standard (approved August 2020). Basic error-checking was performed and redundant records were identified and removed, to the degree possible. The resulting product, referred to as the Fire Program Analysis fire-occurrence database (FPA FOD), includes 2.3 million geo-referenced wildfire records, representing a total of 180 million acres burned during the 29-year period. Identifiers necessary to link the point-based, final-fire-reporting information to published large-fire-perimeter and operational-situation-reporting datasets are included.
