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.
The RngVegImprove feature class depicts the area planned and accomplished areas treated as a part of the Range Vegetation Improvement program of work, funded through the budget allocation process and reported through the Forest Service Activity Tracking System (FACTS) database within the Natural Resource Manager (NRM) suite of
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applications. Activities are self-reported by Forest Service Units.
The SilvTSI (Silviculture Timber Stand Improvement) feature class represents activities associated with the following performance measure: Forest Vegetation Improved (Release, Weeding, and Cleaning, Precommercial Thinning, Pruning and Fertilization). The Activities data set portrays the areas where activities are accomplished
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as a part of the silviculture program of work, funded through the budget allocation process and reported through the Forest Service Activity Tracking System (FACTS) database within the Natural Resource Manager (NRM) suite of applications. The activities are part of the Performance Measures used to rate Agency performance in meeting the Department's Strategic Goals. It is important to note that this layer may not contain all accomplished activities; the spatial portion of the activity description is not currently enforced by FACTS and at this time some are optionally reported by Forest Service units. As spatial data reporting is enforced by the application and acceptance of reporting increases for both tabular and spatial we hope to improve the quality and comprehensiveness of the data used for this layer in coming years.
The SilvReforestation feature class represents activities associated with the following performance measure: Forest Vegetation Establishment (Planting, Seeding, Site Preparation for Natural Regeneration and Certification of Natural Regeneration without Site Preparation). The Activities data set portrays the areas where
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activities are accomplished as a part of the silviculture program of work, funded through the budget allocation process and reported through the Forest Service Activity Tracking System (FACTS) database within the Natural Resource Manager (NRM) suite of applications. The activities are part of the Performance Measures used to rate Agency performance in meeting the Department's Strategic Goals. It is important to note that this layer may not contain all accomplished activities; the spatial portion of the activity description is not currently enforced by FACTS and at this time some are optionally reported by Forest Service units. As spatial data reporting is enforced by the application and acceptance of reporting increases for both tabular and spatial we hope to improve the quality and comprehensiveness of the data used for this layer in coming years.
HazFuelTrt_LN (Hazardous Fuel Treatments - Line) represents activities of hazardous fuel treatment reduction. All accomplishments toward the unified hazardous fuels reduction target must meet the following definition: "Vegetative manipulation designed to create and maintain resilient and sustainable landscapes, including
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burning, mechanical treatments, and/or other methods that reduce the quantity or change the arrangement of living or dead fuel so that the intensity, severity, or effects of wildland fire are reduced within acceptable ecological parameters and consistent with land management plan objectives, or activities that maintain desired fuel conditions. These conditions should be measurable or predictable using fire behavior prediction models or fire effects models." The data came from the Forest Service's Natural Resource Manager (NRM) Forest Activity Tracking System (FACTS), which 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.
HazFuelTrt_PL (Hazardous Fuel Treatments - Polygon) represents activities of hazardous fuel treatment reduction that are polygons. All accomplishments toward the unified hazardous fuels reduction target must meet the following definition: "Vegetative manipulation designed to create and maintain resilient and sustainable
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landscapes, including burning, mechanical treatments, and/or other methods that reduce the quantity or change the arrangement of living or dead fuel so that the intensity, severity, or effects of wildland fire are reduced within acceptable ecological parameters and consistent with land management plan objectives, or activities that maintain desired fuel conditions. These conditions should be measurable or predictable using fire behavior prediction models or fire effects models." The data came from the Forest Service's Natural Resource Manager (NRM) Forest Activity Tracking System (FACTS), which 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 TimeberHarvest feature class depicts the area planned and accomplished acres treated as a part of the Timber Harvest program of work, funded through the budget allocation process and reported through the Forest Service Activity Tracking System (FACTS) database within the Natural Resource Manager (NRM) suite of
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applications. Activities are self-reported by Forest Service Units.
Activities meeting the Monarch Butterfly Habitat Restoration initiative are a subset of activities that benefit native plants, and in doing so, benefit pollinators. Activities such as thinning, prescribed fire and other methods of fuel removal, treating invasive species and acres of native plantings can benefit Monarchs.
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Activities are self-reported by Forest Service Units and are reported when completed. This layer does not contain all activities that benefit Monarchs because this is a relatively new requirement for the program. The quality and comprehensiveness of this data will increase over time.
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
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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.
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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.
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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.
IRR_LN (Integrated Resource Restoration (IRR): Line) depicts the location of activities funded through the NFRR (National Forest Resource Restoration) Budget Line Item and reported through the FACTS (Forest Service Activity Tracking System) database. The activities fall under number of acres treated annually to sustain or
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restore watershed function: acres of forestlands treated using timber sales, acres of forestland vegetation improved, acres of forestland vegetation established, acres of rangeland vegetation improved, acres treated for noxious weeds/invasive plants on NFS lands, and acres of hazardous fuels treated outside the wildland/urban interface (WUI) to reduce the risk of catastrophic wildland fire. The activities are self-reported by Forest Service Units.
Activity_IRR_PT (Integrated Resource Restoration (IRR): Line) depicts the location of activities funded through the NFRR (National Budget Line Item and reported through the FACTS (Forest Service Activity Tracking System) database. The activities fall under number of acres treated annually to sustain or restore watershed
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function: acres of forestlands treated using timber sales, acres of forestland vegetation improved, acres of forestland vegetation established, acres of rangeland vegetation improved, acres treated for noxious weeds/invasive plants on NFS lands, and acres of hazardous fuels treated outside the wildland/urban interface (WUI) to reduce the risk of catastrophic wildland fire. The are self-reported by Forest Service Units.
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
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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
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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
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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
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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.
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
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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.
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
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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.
The Knutson-Vandenberg Act (K-V) of June 9, 1930 (16 U.S.C. 576-576b; 46 Stat. 527), as amended by the National Forest Management Act of October 22, 1976 (16 U.S.C. 1600 et seq.) authorized collection of deposits from federal timber purchasers for prompt and efficient use of funds to reestablish, protect, and improve the
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production of renewable resources on timber sale areas. This includes performing soil improvement and watershed restoration, wildlife habitat improvement, control of insects, disease, and noxious weeds, tree planting, seeding and other cultural treatments necessary to maintain and improve land productivity. Since its creation millions of acres of National Forest System lands (NFS) have been treated and restored to resilient conditions and terrestrial and aquatic habitat improved. Public Law 109-54 of August 2, 2005, Title IV - General Provisions, Sec 412 further amended the K-V Act to allow the collection and use of CWKV funds for watershed restoration, wildlife habitat improvement, to prepare timber sales, control of insects, disease, and noxious weeds, fire community protection activities, and the maintenance of forest roads within the Forest Service region in which the timber sale occurred. Provided that such activities may be performed through the use of contracts, forest product sales, and cooperative agreements. Note that these activities are to be performed by contract and not Forest Service personnel. The Forest Service used this amendment to administratively create two K-V programs within the K-V fund; CWKV (Cooperative Work, Knutson-Vandenberg, Sale Area Projects) and CWK2 (Cooperative Work, Knutson-Vandenberg, Regional Projects). This layer shows the spatial representation where activities accomplished and funded with CWKV and CWK2 funds and reported through the Forest Service Activity Tracking System (FACTS) database. It is important to note that this layer may not contain all CWKV or CWK2 accomplished activities; the spatial portion of the activity description is not currently enforced by FACTS and at this time some are optionally reported by Forest Service units. As spatial data reporting is enforced by the application and acceptant of reporting both tabular and spatial we hope to improve the quality and comprehensiveness of the data used for this layer in coming years.
The National Land Cover Sections feature class contains ecological section polygons attributed with land cover types to show the relationships between ECOMAP 2007 and National Landcover mapping (USGS, 1992). The EcomapSections 2007 data set describes the ecological sections within the conterminous United States. It contains
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regional geographic delineations for analysis of ecological relationships across ecological units. ECOMAP is the term used for a USDA Forest Service initiative to map ecological units and encourage their use in ecosystem-based approaches to forest land conservation and management. This is a collaborative effort with many partners. It is coordinated at the national and regional levels by USDA Forest Service staff and implemented in cooperation with State forestry agencies and others. ECOMAP mapping criteria are outlined in the National Hierarchical Framework of Ecological Units (https://www.ncrs.fs.fed.us/gla/reports/hierarch- y.htm). The framework systematically divides the country into progressively smaller areas of land and water that have similar physical and biological characteristics and ecological processes.
The Healthy Forest Restoration Act feature class depicts National Forest System (NFS) Lands within 38 States designated under section 602 and 603 of the Healthy Forest Restoration Act. Designated areas were selected based on a set of eligibility criteria regarding forest health and do not include any areas coinciding with
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Wilderness and Wilderness Study Areas. The data is comprised of selected HUC-6 units or other areas of similar size and scope clipped to Proclaimed National Forest System lands. Non-Forest Service land ownership areas (inholdings) are also removed. In some cases, entire National Forests were designated. Some state designations' methodologies may differ from the national standard. Please note that this data is current as of the last refresh date, and changes to designated areas will be republished and archived on a weekly basis. Therefore, the most current layer along with previous years' data are available, and the user should ensure that they understand which layer is being accessed. Previous years' data will have a date stamp in the file name, while the most current layer will not. Further, the attribute, "Latest_Revision_Date" contains the date of the most recent designation layer for each state.
The Healthy Forest Restoration Act feature class depicts National Forest System (NFS) Lands within 37 States designated under section 602 and 603 of the Healthy Forest Restoration Act. Designated areas were selected based on a set of eligibility criteria regarding forest health and do not include any areas coinciding with
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Wilderness and Wilderness Study Areas. The data is comprised of selected HUC-6 units or other areas of similar size and scope clipped to Proclaimed National Forest System lands. Non-Forest Service land ownership areas (inholdings) are also removed. In some cases, entire National Forests were designated. Some state designations' methodologies may differ from the national standard. Please note that HealthyForestRestoration_2015 is an archived version. The most current version of this data is contained in the feature class named simply HealthyForestRestoration. Therefore, the most current layer along with previous years' data are available, and the user should ensure that they understand which layer is being accessed. Previous years' data will have a date stamp in the file name, while the most current layer will not. Further, the attribute, "Latest_Revision_Date" contains the date of the most recent designation layer for each state.
The Healthy Forest Restoration Act feature class depicts National Forest System (NFS) Lands within 37 States designated under section 602 and 603 of the Healthy Forest Restoration Act. Designated areas were selected based on a set of eligibility criteria regarding forest health and do not include any areas coinciding with
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Wilderness and Wilderness Study Areas. The data is comprised of selected HUC-6 units or other areas of similar size and scope clipped to Proclaimed National Forest System lands. Non-Forest Service land ownership areas (inholdings) are also removed. In some cases, entire National Forests were designated. Some state designations' methodologies may differ from the national standard. Please note that HealthyForestRestoration_2016 is an archived version. The most current version of this data is contained in the feature class named simply HealthyForestRestoration. Therefore, the most current layer along with previous years' data are available, and the user should ensure that they understand which layer is being accessed. Previous years' data will have a date stamp in the file name, while the most current layer will not. Further, the attribute, "Latest_Revision_Date" contains the date of the most recent designation layer for each state.
The Healthy Forest Restoration Act feature class depicts National Forest System (NFS) Lands within 37 States designated under section 602 and 603 of the Healthy Forest Restoration Act. Designated areas were selected based on a set of eligibility criteria regarding forest health and do not include any areas coinciding with
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Wilderness and Wilderness Study Areas. The data is comprised of selected HUC-6 units or other areas of similar size and scope clipped to Proclaimed National Forest System lands. Non-Forest Service land ownership areas (inholdings) are also removed. In some cases, entire National Forests were designated. Some state designations' methodologies may differ from the national standard. Please note that HealthyForestRestoration_2017 is an archived version. The most current version of this data is contained in the feature class named simply HealthyForestRestoration. Therefore, the most current layer along with previous years' data are available, and the user should ensure that they understand which layer is being accessed. Previous years' data will have a date stamp in the file name, while the most current layer will not. Further, the attribute, "Latest_Revision_Date" contains the date of the most recent designation layer for each state.
This feature class contains data that depicts National Forest System (NFS) Lands within 37 States designated under section 602 and 603 of the Healthy Forest Restoration Act. Designated areas were selected based on a set of eligibility criteria regarding forest health and do not include any areas coinciding with Wilderness and
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Wilderness Study Areas. The data is comprised of selected HUC-6 units or other areas of similar size and scope clipped to Proclaimed National Forest System lands. Non-Forest Service land ownership areas (inholdings) are also removed. In some cases, entire National Forests were designated. Some state designations' methodologies may differ from the national standard.Please note that this data is current as of May 18, 2018, and changes to designated areas will be republished and archived on weekly basis. Therefore, the most current layer along with previous years' data are available, and the user should ensure that they understand which layer is being accessed. Previous years' data will have a date stamp in the file name, while the most current layer will not. Further, the attribute, “Latest_Revision_Date” contains the date of the most recent designation layer for each state.
This feature class contains data that depicts National Forest System (NFS) Lands within 37 States designated under section 602 and 603 of the Healthy Forest Restoration Act. Designated areas were selected based on a set of eligibility criteria regarding forest health and do not include any areas coinciding with Wilderness and
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Wilderness Study Areas. The data is comprised of selected HUC-6 units or other areas of similar size and scope clipped to Proclaimed National Forest System lands. Non-Forest Service land ownership areas (inholdings) are also removed. In some cases, entire National Forests were designated. Some state designations' methodologies may differ from the national standard.Please note that this data is current as of June 19, 2019, and changes to designated areas will be republished and archived on weekly basis. Therefore, the most current layer along with previous years' data are available, and the user should ensure that they understand which layer is being accessed. Previous years' data will have a date stamp in the file name, while the most current layer will not. Further, the attribute, “Latest_Revision_Date” contains the date of the most recent designation layer for each state.
This feature class contains data that depicts National Forest System (NFS) Lands within 38 States designated under section 602 and 603 of the Healthy Forest Restoration Act. Designated areas were selected based on a set of eligibility criteria regarding forest health and do not include any areas coinciding with Wilderness and
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Wilderness Study Areas. The data is comprised of selected HUC-6 units or other areas of similar size and scope clipped to Proclaimed National Forest System lands. Non-Forest Service land ownership areas (inholdings) are also removed. In some cases, entire National Forests were designated. Some state designations' methodologies may differ from the national standard.Please note that this data is current as of September 14, 2020, and changes to designated areas will be republished and archived on weekly basis. Therefore, the most current layer along with previous years' data are available, and the user should ensure that they understand which layer is being accessed. Previous years' data will have a date stamp in the file name, while the most current layer will not. Further, the attribute, “Latest_Revision_Date” contains the date of the most recent designation layer for each state.
This feature class contains data that depicts National Forest System (NFS) Lands within 38 States designated under section 602 and 603 of the Healthy Forest Restoration Act. Designated areas were selected based on a set of eligibility criteria regarding forest health and do not include any areas coinciding with Wilderness and
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Wilderness Study Areas. The data is comprised of selected HUC-6 units or other areas of similar size and scope clipped to Proclaimed National Forest System lands. Non-Forest Service land ownership areas (inholdings) are also removed. In some cases, entire National Forests were designated. Some state designations' methodologies may differ from the national standard.Please note that this data is current as of February 28, 2021, and changes to designated areas will be republished and archived on weekly basis. Therefore, the most current layer along with previous years' data are available, and the user should ensure that they understand which layer is being accessed. Previous years' data will have a date stamp in the file name, while the most current layer will not. Further, the attribute, “Latest_Revision_Date” contains the date of the most recent designation layer for each state.
Depicts the boundaries for the Collaborative Forest Landscape Restoration (CFLR). Three of these projects were formerly "High Priority Restoration Projects" (HPRP): Northeastern Washington Vision 2020; Ozark Highlands; and Longleaf Pine Ecosystem Restoration and Hazardous Fuels Reduction. These projects received CFLR
Polygons representing Forest Service land areas with a regulated use specification authorized by the Comprehensive Environmental Response, Compensation, and Liability Act of 1980. These areas generally contain hazardous waste considerations.
This dataset shows information about the USDA Forest Service constructed recreation sites used to populate the public facing webpages. This information is the descriptive and qualitative information used to set appropriate expectations for visitor use and may not contain all the exact engineering, constructed features.
The RoadlessArea_2001_ID_CO feature class describes the boundaries of all Roadless Areas managed by the U.S. Forest Service. These roadless areas were designated by administrative rule making to provide management direction for their conservation and management. The RoadlessArea Conservation Rule of 2001 designated roadless
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areas nationwide. Subsequent rules, the Idaho Roadless Rule of 2008, and the Colorado Roadless Rule of 2012 replaced that direction and designation in the states of Idaho and Colorado. The Roadless Area_2001_ID_CO includes the current roadless area boundaries from all three rules and excludes roadless areas which have been superseded by a subsequent rule.
This feature class describes the boundaries of Roadless Areas designated by the Colorado Roadless Rule of 2012 and managed by the U.S. Forest Service. These roadless areas were designated by administrative rulemaking to provide management direction for conservation of roadless area characteristics while addressing Colorado
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specific concerns. These roadless area designations supersede the roadless areas designated by the Roadless Area Conservation Rule of 2001 for Colorado. Upper tier areas are a subset of Colorado Roadless Areas which have limited exceptions to provide a high level of protection. The North Fork Coal Mining area is a subset of Colorado Roadless Areas which has an exception for coal mining related activities.
The RoadlessArea_ID_2008 feature class describes the boundaries of Roadless Areas designated by the Idaho Roadless Rule of 2008 and managed by the U.S. Forest Service. The final rule reflects the views and concerns of thousands of people who expressed interest during the rule-making process, which ran from October 2006 to
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October 2008. The public comment period generated 38,000 comments. The Idaho Roadless Rule takes a balanced approach, recognizing both local and national interests. Five management themes have been established (and are identified in the MgmtClassification attribute) that provide prohibitions, with exceptions or conditioned permissions, governing timber cutting, removing and selling, road construction and reconstruction, and certain mineral activities. These management themes are: Wild Land Recreation, Special Areas of Historic or Tribal Significance, Primitive, Backcountry Restoration, and General Forest, Rangeland, and Grassland. Each theme provides management direction that varies from most restrictive to least restrictive and provides roadless character that varies from higher quality to lower quality. Forest Plan Special Areas are also identified, where management of the area is according to Forest Plan direction, not the Idaho Roadless Rule. These special areas include items such as wild and scenic river corridors, research natural areas, etc. This dataset is a compilation of the most up to date Roadless areas from the National Forests in Idaho. This dataset was compiled by taking the roadless area boundaries from each of the National Forests in Idaho and adding the management area prescription boundaries from each forest. For some forests both the existing forest plan management prescription layer and a "proposed" prescriptions boundaries were used. See the list of these Forests in the metadata for the each forest. Date of last update Date of last update is captured in the Lineage section.
This layer contains features of aerial fire retardant avoidance areas delivered as part of the 2011 Nationwide Aerial Application of Fire Retardant on National Forest System Land Environmental Impact Statement. This Feature Class shows areas, provided by each National Forest who used aerial fire retardant from 2000-2010, where
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the aerial application of fire retardant should be avoided in order to prevent the potential of impacts to Federally listed threatened or endangered species as identified through consultation, or Forest Service sensitive species. Data includes location of terrestrial areas where the application of aerial fire retardant is to be avoided. This data is to be used in planning and implementation phases of U.S. Forest Service fire activities to help prevent misapplication of aerial fire retardant in known areas of TEPCS (Threatened, Endangered, Proposed, Candidate, Sensitive) species throughout National Forest lands. Provided here is a National merged dataset derived from each National Forest contribution. This data has been merged, dissolved, and erased of attributes contained in each original component dataset. For this purpose, specific attributes are not necessary, as any spatial areas depicted simply show areas where aerial fire retardant use is to be avoided as stated in U.S. Forest Service guidelines.
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Aerial Fire Retardant Hydrographic Avoidance Areas: Aquatic - Region 10
Aerial retardant avoidance area for hydrographic feature data are based on high resolution National Hydrographic Dataset (NHD) produced by USGS and available from the USFS. Forests and/or regions have had the opportunity to modify the default NHD water representation (300ft buffer from all water features) for their areas of
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interest to accurately represent aerial fire retardant avoidance areas as described in the 2011 Record of Decision for the Nationwide Aerial Application of Fire Retardant on National Forest System Land EIS. These changes have been integrated into this dataset depicting aerial fire retardant avoidance areas for hydrographic features. Note that this data is current for 2023.
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Aerial Fire Retardant Hydrographic Avoidance Areas: Aquatic - Region 3
Aerial retardant avoidance area for hydrographic feature data are based on high resolution National Hydrographic Dataset (NHD) produced by USGS and available from the USFS. Forests and/or regions have had the opportunity to modify the default NHD water representation (300ft buffer from all water features) for their areas of
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interest to accurately represent aerial fire retardant avoidance areas as described in the 2011 Record of Decision for the Nationwide Aerial Application of Fire Retardant on National Forest System Land EIS. These changes have been integrated into this dataset depicting aerial fire retardant avoidance areas for hydrographic features. Note that this data is current for 2023.
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Aerial Fire Retardant Hydrographic Avoidance Areas: Aquatic - Region 5
Aerial retardant avoidance area for hydrographic feature data are based on high resolution National Hydrographic Dataset (NHD) produced by USGS and available from the USFS. Forests and/or regions have had the opportunity to modify the default NHD water representation (300ft buffer from all water features) for their areas of
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interest to accurately represent aerial fire retardant avoidance areas as described in the 2011 Record of Decision for the Nationwide Aerial Application of Fire Retardant on National Forest System Land EIS. These changes have been integrated into this dataset depicting aerial fire retardant avoidance areas for hydrographic features. Note that this data is current for 2023.
This dataset provides USFS watershed improvement activities to barriers to upstream migration. This includes improving existing passage structures or removing them entirely. Structures include culverts, dams, diversion dams. Also included are where structures have been added to purposely create barriers to protect native
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populations from invasive species. Data include the planned fiscal year and planned cost, the completed fiscal year, approximate completed cost, and partners involved. Each AOP activity is displayed as a single point.
This dataset displays miles of habitat improved upstream from an Aquatic Organism Passage (AOP) structure that was improved by an on the ground activity. Data includes the completed fiscal year and lists species that benefit from the habitat improvement. The miles of habitat improved are displayed as a line or multi-line. Data
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are from USFS Natural Resource Manager Watershed Improvement Tracking (WIT) database.
This dataset provides USFS Aquatic Organism Passage (AOP) survey data. It shows stream passage locations, passage measurements, and passability assessment categories from AOP field surveys. Structure included: culverts, dams, diversion dams, and natural features such as waterfalls.
This feature class represents the historic (1980) scenario for bull trout, derived from the Climate Shield fish distribution models. These models provide stream-specific probabilistic predictions about the occurrence of juvenile bull trout and cutthroat trout in association with three different scenarios for climate change and
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brook trout invasions. These datasets indicate all potential cold-water habitats 500 cold-water streams. The stream centerlines were based on the National Hydrography Dataset (NHD) but were modified for purposes of modeling and cross-walking to other datasets.
This feature class represents the future (2040) scenario for bull trout, derived from the Climate Shield fish distribution models. These models provide stream-specific probabilistic predictions about the occurrence of juvenile bull trout and cutthroat trout in association with three different scenarios for climate change and
… [see more]
brook trout invasions. These datasets indicate all potential cold-water habitats 500 cold-water streams. The stream centerlines were based on the National Hydrography Dataset (NHD) but were modified for purposes of modeling and cross-walking to other datasets.
This feature class represents the future (2080) scenario for bull trout, derived from the Climate Shield fish distribution models. These models provide stream-specific probabilistic predictions about the occurrence of juvenile bull trout and cutthroat trout in association with three different scenarios for climate change and
… [see more]
brook trout invasions. These datasets indicate all potential cold-water habitats 500 cold-water streams. The stream centerlines were based on the National Hydrography Dataset (NHD) but were modified for purposes of modeling and cross-walking to other datasets.
This feature class represents the historic (1980) scenario for cutthroat trout, derived from the Climate Shield fish distribution models. These models provide stream-specific probabilistic predictions about the occurrence of juvenile bull trout and cutthroat trout in association with three different scenarios for climate
… [see more]
change and brook trout invasions. These datasets indicate all potential cold-water habitats 500 cold-water streams. The stream centerlines were based on the National Hydrography Dataset (NHD) but were modified for purposes of modeling and cross-walking to other datasets.
This feature class represents the future (2040) scenario for cutthroat trout, derived from the Climate Shield fish distribution models. These models provide stream-specific probabilistic predictions about the occurrence of juvenile bull trout and cutthroat trout in association with three different scenarios for climate change
… [see more]
and brook trout invasions. These datasets indicate all potential cold-water habitats 500 cold-water streams. The stream centerlines were based on the National Hydrography Dataset (NHD) but were modified for purposes of modeling and cross-walking to other datasets.
This feature class represents the future (2080) scenario for cutthroat trout, derived from the Climate Shield fish distribution models. These models provide stream-specific probabilistic predictions about the occurrence of juvenile bull trout and cutthroat trout in association with three different scenarios for climate change
… [see more]
and brook trout invasions. These datasets indicate all potential cold-water habitats 500 cold-water streams. The stream centerlines were based on the National Hydrography Dataset (NHD) but were modified for purposes of modeling and cross-walking to other datasets.
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Ecosystem Terrestrial Ecological Unit Inventory Status
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
… [see more]
administrative boundaries using their common names, with a percent coverage for Land Type and acres of forest per plot.
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. This feature class contains the FACTS attributes most commonly needed to describe FACTS activities.
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. This feature class contains the FACTS attributes most commonly needed to describe FACTS activities.
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. This feature class contains the FACTS attributes most commonly needed to describe FACTS activities.
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. This feature class contains the FACTS attributes most commonly needed to describe FACTS activities.
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. This feature class contains the FACTS attributes most commonly needed to describe FACTS activities.
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. This feature class contains the FACTS attributes most commonly needed to describe FACTS activities.
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. This feature class contains the FACTS attributes most commonly needed to describe FACTS activities.
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. This feature class contains the FACTS attributes most commonly needed to describe FACTS activities.
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. This feature class contains the FACTS attributes most commonly needed to describe FACTS activities.
The FIRESTAT (Fire Statistics System) Fire Occurrence point layer represents ignition points, or points of origin, from which individual wildland fires started on National Forest System lands. The source is the FIRESTAT database, which contains records of fire occurrence, related fire behavior conditions, and the suppression
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actions taken by management taken from the Individual Wildland Fire Report. This publicly available dataset is updated annually for all years previous to January 1 on or after February 16th.
The Fireshed Registry is a geospatial dashboard and decision tool built to organize information about wildfire transmission to communities and monitor progress towards risk reduction for communities from management investments. The concept behind the Fireshed Registry is to identify and map the source of risk rather than what
… [see more]
is at risk across all lands in the conterminous United States. While the Fireshed Registry was organized around mapping the source of fire risk to communities, the framework does not preclude the assessment of other resource management priorities and trends such as water, fish and aquatic or wildlife habitat, or recreation. The Fireshed Registry is also a multi-scale decision tool for quantifying, prioritizing, and geospatially displaying wildfire transmission to buildings in adjacent or nearby communities. Fireshed areas in the Fireshed Registry are approximately 250,000 acre accounting units that are delineated based on a smoothed building exposure map of the conterminous United States. These boundaries were created by dividing up the landscape into regular-sized units that represent similar source levels of community exposure to wildfire risk. Project areas are approximately 25,000 acre accounting units nested within firesheds. This data publication includes a geodatabase that contains for both fireshed and project areas: boundaries, size, total annual number of buildings inside and outside of the area exposed by wildfires ignited within the area (based on 2010 housing unit data and 2014 fuels conditions), and percent of the area that has been disturbed since 2014 (2015-2018).
The Fireshed Registry is a geospatial dashboard and decision tool built to organize information about wildfire transmission to communities and monitor progress towards risk reduction for communities from management investments. The concept behind the Fireshed Registry is to identify and map the source of risk rather than what
… [see more]
is at risk across all lands in the conterminous United States. While the Fireshed Registry was organized around mapping the source of fire risk to communities, the framework does not preclude the assessment of other resource management priorities and trends such as water, fish and aquatic or wildlife habitat, or recreation. The Fireshed Registry is also a multi-scale decision tool for quantifying, prioritizing, and geospatially displaying wildfire transmission to buildings in adjacent or nearby communities. Fireshed areas in the Fireshed Registry are approximately 250,000 acre accounting units that are delineated based on a smoothed building exposure map of the conterminous United States. These boundaries were created by dividing up the landscape into regular-sized units that represent similar source levels of community exposure to wildfire risk. Project areas are approximately 25,000 acre accounting units nested within firesheds. This data publication includes a geodatabase that contains for both fireshed and project areas: boundaries, size, total annual number of buildings inside and outside of the area exposed by wildfires ignited within the area (based on 2010 housing unit data and 2014 fuels conditions), and percent of the area that has been disturbed since 2014 (2015-2018).
Features in this dataset reprsent individual USFS Ranger Districts or USFS Administrative Forests Boundaries which compose a stumpage market. The schema of this dataset is a copy of S_USA.RangerDistrict (https://data.fs.usda.gov/geodata/edw/edw_resour- ces/meta/S_USA.RangerDistrict.xml) with two additional
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fields:APPRAISALZONES_FK supports a one-to-many relationship between S_USA.Com_TimberAppraisalZone and S_USA.Com_TimberAppraisalZone_RDsCOMMENTS contains information about individual stumpage market.
This dataset is a spatial display of US Forest Service stumpage market appraisal zones. A zone may encompass a Region, a National Forest, a group of Ranger Districts, or combinations thereof. Each unique market appraisal zone defines a localized stumpage market. In each market area, stumpage values reflect the market value of
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standing trees (on the stump) prior to felling, removal, and utilization in a value-added manufacturing activity. The zone boundary is typically determined by factors including, but not limited to, manufacturing facilities, hauling distances, species yield compositions, timber quality, market area competition, and logging methods.
This dataset contains the detailed information about the individual asset linear features such as roads and trails that make up Great American Outdoors Act (GAOA) projects. This data can be used together with the project summary data to display general project locations. The data is refreshed on a nightly basis from the US
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Forest Service database of infrastructure projects which is stewarded by the individual National Forests and Grasslands.For more information about Forest Service GAOA projects visit our website: https://www.fs.usda.gov/managing-land/gaoa
This dataset contains the detailed information about the individual asset point features such as recreation sites, that make up Great American Outdoors Act (GAOA) projects. This data can be used together with the project summary data to display general project and asset locations. The data is refreshed on a nightly basis from
… [see more]
the US Forest Service database of infrastructure projects which is stewarded by the individual National Forests and Grasslands. For more information about Forest Service GAOA projects visit our website: https://www.fs.usda.gov/managing-land/gaoa
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Great American Outdoors Act Project Partner Grants and Agreements
These data describe the approximate project location and financial elements of US Forest Service, Great American Outdoors Act (GAOA) projects that are implemented through a Grant and/or Agreement. Data is visible at all scales and zoom levels.
Great American Outdoors Act Project Summary: Point
This dataset displays the approximate location of US Forest Service, Great American Outdoors Act (GAOA) projects. The data is refreshed on a nightly basis from the US Forest Service database of infrastructure projects which is stewarded by the individual National Forests and Grasslands.This dataset is a spatial data layer of
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points representing the approximate or general location where the project takes place. The point location is intended for use in small scale maps to indicate the general location of the projects across the country. The location data is maintained by staff on the individual National Forest or Grassland using the database of record. Because a project can be made up of many assets distributed across a land area, a single project location point will not always reflect the specific location and extent of the work in the project. The project detail data can be used to display the individual assets that make up the project. For more information about Forest Service GAOA projects visit our website: https://www.fs.usda.gov/managing-land/gaoa
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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
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georeferencing a scanned version of the source map and by heads-up digitizing each woodland density polygon.
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Hydro Flow Metrics for the Contiguous United States (Absolute Change by End-of-Century)
This file represents modeled streamflow across the contiguous United States, for the absolute change between the historical (1977-2006) and projected future end-of-century time period (2070–2099), based on gridded simulations of daily total runoff. The flow regime is of fundamental importance in determining the physical and
… [see more]
ecological characteristics of a river or stream, but actual flow measurements are only available for a small minority of stream segments, mostly on large rivers. Flows for all other streams must be extrapolated or modeled. Modeling is also necessary to estimate flow regimes under future climate conditions. We modeled streamflow across the contiguous United States, for the historical period (1977–2006), and two projected future time periods, mid-century (2030–2059), and end-of-century (2070–2099). These are based on gridded simulations of daily total runoff. These use RCP 8.5 projections of temperature and precipitation, downscaled to a 1/8 degree (~12 km) cell size, which are used as inputs to the Variable Infiltration Capacity (VIC) macroscale hydrologic model. This dataset updates the previous Western U.S. Stream Flow Metric Dataset (Wenger et al., 2010) (a link to the old datasets is available on the project website: https://www.fs.fed.us/rm/boise/AWAE/projects/mod- eled_stream_flow_metrics.shtml). It expands the spatial extent of this analysis, uses updated climate scenarios, and includes additional climate metrics. For each stream segment in the National Hydrography Dataset Plus Version 2 (NHDPlusV2) in the contiguous U.S. we calculated hydrographs for the three time periods. From these we calculated summary flow metrics to describe flow regimes for each stream segment and each time period and joined these to the NHD stream segments for visualization and analysis. These results allow scientists and managers to easily compare historical and projected flow patterns, including monthly, seasonal, and annual flow, flood and drought events, and timing of peak and low flows. Note: We recommend that line segments with an upstream area greater than 10,000 km2 be removed from the dataset for consideration of high flow metrics (using the field 'TotDASqKM'), since the downstream routing was simply an accumulation function. This is reasonable for larger watersheds at time scales of months and greater, but would be inaccurate for estimating floods at daily time scales on larger watersheds. Note also that the 10+ year flood models are not appropriate for use in engineering and design applications. Streams without flow metrics (null values) were removed from this dataset to improve display speed; to see all stream lines, use an NHD flowline dataset.
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Hydro Flow Metrics for the Contiguous United States (Absolute Change by Mid-Century)
This file represents modeled streamflow across the contiguous United States, for the absolute change between the historical (1977-2006) and projected future mid-century time period (2030–2059), based on gridded simulations of daily total runoff. The flow regime is of fundamental importance in determining the physical and
… [see more]
ecological characteristics of a river or stream, but actual flow measurements are only available for a small minority of stream segments, mostly on large rivers. Flows for all other streams must be extrapolated or modeled. Modeling is also necessary to estimate flow regimes under future climate conditions. We modeled streamflow across the contiguous United States, for the historical period (1977–2006), and two projected future time periods, mid-century (2030–2059), and end-of-century (2070–2099). These are based on gridded simulations of daily total runoff. These use RCP 8.5 projections of temperature and precipitation, downscaled to a 1/8 degree (~12 km) cell size, which are used as inputs to the Variable Infiltration Capacity (VIC) macroscale hydrologic model. This dataset updates the previous Western U.S. Stream Flow Metric Dataset (Wenger et al., 2010) (a link to the old datasets is available on the project website: https://www.fs.fed.us/rm/boise/AWAE/projects/mod- eled_stream_flow_metrics.shtml). It expands the spatial extent of this analysis, uses updated climate scenarios, and includes additional climate metrics. For each stream segment in the National Hydrography Dataset Plus Version 2 (NHDPlusV2) in the contiguous U.S. we calculated hydrographs for the three time periods. From these we calculated summary flow metrics to describe flow regimes for each stream segment and each time period and joined these to the NHD stream segments for visualization and analysis. These results allow scientists and managers to easily compare historical and projected flow patterns, including monthly, seasonal, and annual flow, flood and drought events, and timing of peak and low flows. Note: We recommend that line segments with an upstream area greater than 10,000 km2 be removed from the dataset for consideration of high flow metrics (using the field 'TotDASqKM'), since the downstream routing was simply an accumulation function. This is reasonable for larger watersheds at time scales of months and greater, but would be inaccurate for estimating floods at daily time scales on larger watersheds. Note also that the 10+ year flood models are not appropriate for use in engineering and design applications. Streams without flow metrics (null values) were removed from this dataset to improve display speed; to see all stream lines, use an NHD flowline dataset.
[see less]
Hydro Flow Metrics for the Contiguous United States (End-of-Century)
This file represents modeled streamflow across the contiguous United States, for the projected future end-of-century time period (2070–2099), based on gridded simulations of daily total runoff. The flow regime is of fundamental importance in determining the physical and ecological characteristics of a river or stream, but
… [see more]
actual flow measurements are only available for a small minority of stream segments, mostly on large rivers. Flows for all other streams must be extrapolated or modeled. Modeling is also necessary to estimate flow regimes under future climate conditions. We modeled streamflow across the contiguous United States, for the historical period (1977–2006), and two projected future time periods, mid-century (2030–2059), and end-of-century (2070–2099). These are based on gridded simulations of daily total runoff. These use RCP 8.5 projections of temperature and precipitation, downscaled to a 1/8 degree (~12 km) cell size, which are used as inputs to the Variable Infiltration Capacity (VIC) macroscale hydrologic model. This dataset updates the previous Western U.S. Stream Flow Metric Dataset (Wenger et al., 2010) (a link to the old datasets is available on the project website: https://www.fs.fed.us/rm/boise/AWAE/projects/mod- eled_stream_flow_metrics.shtml). It expands the spatial extent of this analysis, uses updated climate scenarios, and includes additional climate metrics. For each stream segment in the National Hydrography Dataset Plus Version 2 (NHDPlusV2) in the contiguous U.S. we calculated hydrographs for the three time periods. From these we calculated summary flow metrics to describe flow regimes for each stream segment and each time period and joined these to the NHD stream segments for visualization and analysis. These results allow scientists and managers to easily compare historical and projected flow patterns, including monthly, seasonal, and annual flow, flood and drought events, and timing of peak and low flows. Note: We recommend that line segments with an upstream area greater than 10,000 km2 be removed from the dataset for consideration of high flow metrics (using the field 'TotDASqKM'), since the downstream routing was simply an accumulation function. This is reasonable for larger watersheds at time scales of months and greater, but would be inaccurate for estimating floods at daily time scales on larger watersheds. Note also that the 10+ year flood models are not appropriate for use in engineering and design applications. Streams without flow metrics (null values) were removed from this dataset to improve display speed; to see all stream lines, use an NHD flowline dataset.
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Hydro Flow Metrics for the Contiguous United States (Historical)
This file represents modeled streamflow across the contiguous United States, for the historical time period (1977-2006), based on gridded simulations of daily total runoff. The flow regime is of fundamental importance in determining the physical and ecological characteristics of a river or stream, but actual flow measurements
… [see more]
are only available for a small minority of stream segments, mostly on large rivers. Flows for all other streams must be extrapolated or modeled. Modeling is also necessary to estimate flow regimes under future climate conditions. We modeled streamflow across the contiguous United States, for the historical period (1977–2006), and two projected future time periods, mid-century (2030–2059), and end-of-century (2070–2099). These are based on gridded simulations of daily total runoff. These use RCP 8.5 projections of temperature and precipitation, downscaled to a 1/8 degree (~12 km) cell size, which are used as inputs to the Variable Infiltration Capacity (VIC) macroscale hydrologic model. This dataset updates the previous Western U.S. Stream Flow Metric Dataset (Wenger et al., 2010) (a link to the old datasets is available on the project website: https://www.fs.fed.us/rm/boise/AWAE/projects/mod- eled_stream_flow_metrics.shtml). It expands the spatial extent of this analysis, uses updated climate scenarios, and includes additional climate metrics. For each stream segment in the National Hydrography Dataset Plus Version 2 (NHDPlusV2) in the contiguous U.S. we calculated hydrographs for the three time periods. From these we calculated summary flow metrics to describe flow regimes for each stream segment and each time period and joined these to the NHD stream segments for visualization and analysis. These results allow scientists and managers to easily compare historical and projected flow patterns, including monthly, seasonal, and annual flow, flood and drought events, and timing of peak and low flows. Note: We recommend that line segments with an upstream area greater than 10,000 km2 be removed from the dataset for consideration of high flow metrics (using the field 'TotDASqKM'), since the downstream routing was simply an accumulation function. This is reasonable for larger watersheds at time scales of months and greater, but would be inaccurate for estimating floods at daily time scales on larger watersheds. Note also that the 10+ year flood models are not appropriate for use in engineering and design applications. Streams without flow metrics (null values) were removed from this dataset to improve display speed; to see all stream lines, use an NHD flowline dataset.
[see less]
Hydro Flow Metrics for the Contiguous United States (Mid-Century)
This file represents modeled streamflow across the contiguous United States, for the projected future mid-century time period (2030–2059), based on gridded simulations of daily total runoff. The flow regime is of fundamental importance in determining the physical and ecological characteristics of a river or stream, but
… [see more]
actual flow measurements are only available for a small minority of stream segments, mostly on large rivers. Flows for all other streams must be extrapolated or modeled. Modeling is also necessary to estimate flow regimes under future climate conditions. We modeled streamflow across the contiguous United States, for the historical period (1977–2006), and two projected future time periods, mid-century (2030–2059), and end-of-century (2070–2099). These are based on gridded simulations of daily total runoff. These use RCP 8.5 projections of temperature and precipitation, downscaled to a 1/8 degree (~12 km) cell size, which are used as inputs to the Variable Infiltration Capacity (VIC) macroscale hydrologic model. This dataset updates the previous Western U.S. Stream Flow Metric Dataset (Wenger et al., 2010) (a link to the old datasets is available on the project website: https://www.fs.fed.us/rm/boise/AWAE/projects/mod- eled_stream_flow_metrics.shtml). It expands the spatial extent of this analysis, uses updated climate scenarios, and includes additional climate metrics. For each stream segment in the National Hydrography Dataset Plus Version 2 (NHDPlusV2) in the contiguous U.S. we calculated hydrographs for the three time periods. From these we calculated summary flow metrics to describe flow regimes for each stream segment and each time period and joined these to the NHD stream segments for visualization and analysis. These results allow scientists and managers to easily compare historical and projected flow patterns, including monthly, seasonal, and annual flow, flood and drought events, and timing of peak and low flows. Note: We recommend that line segments with an upstream area greater than 10,000 km2 be removed from the dataset for consideration of high flow metrics (using the field 'TotDASqKM'), since the downstream routing was simply an accumulation function. This is reasonable for larger watersheds at time scales of months and greater, but would be inaccurate for estimating floods at daily time scales on larger watersheds. Note also that the 10+ year flood models are not appropriate for use in engineering and design applications. Streams without flow metrics (null values) were removed from this dataset to improve display speed; to see all stream lines, use an NHD flowline dataset.
[see less]
Hydro Flow Metrics for the Contiguous United States (Percent Change by End-of-Century)
This file represents modeled streamflow across the contiguous United States, for the percent change between the historical (1977-2006) and projected future end-of-century time period (2070–2099), based on gridded simulations of daily total runoff.The flow regime is of fundamental importance in determining the physical and
… [see more]
ecological characteristics of a river or stream, but actual flow measurements are only available for a small minority of stream segments, mostly on large rivers. Flows for all other streams must be extrapolated or modeled. Modeling is also necessary to estimate flow regimes under future climate conditions. We modeled streamflow across the contiguous United States, for the historical period (1977–2006), and two projected future time periods, mid-century (2030–2059), and end-of-century (2070–2099). These are based on gridded simulations of daily total runoff. These use RCP 8.5 projections of temperature and precipitation, downscaled to a 1/8 degree (~12 km) cell size, which are used as inputs to the Variable Infiltration Capacity (VIC) macroscale hydrologic model. This dataset updates the previous Western U.S. Stream Flow Metric Dataset (Wenger et al., 2010) (a link to the old datasets is available on the project website: https://www.fs.fed.us/rm/boise/AWAE/projects/mod- eled_stream_flow_metrics.shtml). It expands the spatial extent of this analysis, uses updated climate scenarios, and includes additional climate metrics. For each stream segment in the National Hydrography Dataset Plus Version 2 (NHDPlusV2) in the contiguous U.S. we calculated hydrographs for the three time periods. From these we calculated summary flow metrics to describe flow regimes for each stream segment and each time period and joined these to the NHD stream segments for visualization and analysis. These results allow scientists and managers to easily compare historical and projected flow patterns, including monthly, seasonal, and annual flow, flood and drought events, and timing of peak and low flows. Note: We recommend that line segments with an upstream area greater than 10,000 km2 be removed from the dataset for consideration of high flow metrics (using the field 'TotDASqKM'), since the downstream routing was simply an accumulation function. This is reasonable for larger watersheds at time scales of months and greater, but would be inaccurate for estimating floods at daily time scales on larger watersheds. Note also that the 10+ year flood models are not appropriate for use in engineering and design applications. Streams without flow metrics (null values) were removed from this dataset to improve display speed; to see all stream lines, use an NHD flowline dataset.
[see less]
Hydro Flow Metrics for the Contiguous United States (Percent Change by Mid-Century)
This file represents modeled streamflow across the contiguous United States, for the percent change between the historical (1977-2006) and projected future end-of-century time period (2070–2089), based on gridded simulations of daily total runoff. The flow regime is of fundamental importance in determining the physical and
… [see more]
ecological characteristics of a river or stream, but actual flow measurements are only available for a small minority of stream segments, mostly on large rivers. Flows for all other streams must be extrapolated or modeled. Modeling is also necessary to estimate flow regimes under future climate conditions. We modeled streamflow across the contiguous United States, for the historical period (1977–2006), and two projected future time periods, mid-century (2030–2059), and end-of-century (2070–2099). These are based on gridded simulations of daily total runoff. These use RCP 8.5 projections of temperature and precipitation, downscaled to a 1/8 degree (~12 km) cell size, which are used as inputs to the Variable Infiltration Capacity (VIC) macroscale hydrologic model. This dataset updates the previous Western U.S. Stream Flow Metric Dataset (Wenger et al., 2010) (a link to the old datasets is available on the project website: https://www.fs.fed.us/rm/boise/AWAE/projects/mod- eled_stream_flow_metrics.shtml). It expands the spatial extent of this analysis, uses updated climate scenarios, and includes additional climate metrics. For each stream segment in the National Hydrography Dataset Plus Version 2 (NHDPlusV2) in the contiguous U.S. we calculated hydrographs for the three time periods. From these we calculated summary flow metrics to describe flow regimes for each stream segment and each time period and joined these to the NHD stream segments for visualization and analysis. These results allow scientists and managers to easily compare historical and projected flow patterns, including monthly, seasonal, and annual flow, flood and drought events, and timing of peak and low flows. Note: We recommend that line segments with an upstream area greater than 10,000 km2 be removed from the dataset for consideration of high flow metrics (using the field 'TotDASqKM'), since the downstream routing was simply an accumulation function. This is reasonable for larger watersheds at time scales of months and greater, but would be inaccurate for estimating floods at daily time scales on larger watersheds. Note also that the 10+ year flood models are not appropriate for use in engineering and design applications. Streams without flow metrics (null values) were removed from this dataset to improve display speed; to see all stream lines, use an NHD flowline dataset.
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
… [see more]
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
This layer indicates the location of the observed stream temperature records used for the NorWeST database summaries. NorWeST summer stream temperature scenarios were developed for all rivers and streams in the western U.S. from the > 20,000 stream sites in the NorWeST database where mean August stream temperatures were
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recorded. The resulting dataset includes stream lines (NorWeST_PredictedStreams) and associated mid-points NorWest_TemperaturePoints) representing 1 kilometer intervals along the stream network. Stream lines were derived from the 1:100,000 scale NHDPlus dataset (USEPA and USGS 2010; McKay et al. 2012). Shapefile extents correspond to NorWeST processing units, which generally relate to 6 digit (3rd code) hydrologic unit codes (HUCs) or in some instances closely correspond to state borders. The line and point shapefiles contain identical modeled stream temperature results. The two feature classes are meant to complement one another for use in different applications. In addition, spatial and temporal covariates used to generate the modeled temperatures are included in the attribute tables at https://www.fs.fed.us/rm/boise/AWAE/projects/Nor- WeST/ModeledStreamTemperatureScenarioMaps.shtml.- The NorWeST NHDPlusV1 processing units include: Salmon, Clearwater, Spokoot, Missouri Headwaters, Snake-Bear, MidSnake, MidColumbia, Oregon Coast, South-Central Oregon, Upper Columbia-Yakima, Washington Coast, Upper Yellowstone-Bighorn, Upper Missouri-Marias, and Upper Green-North Platte. The NorWeST NHDPlusV2 processing units include: Lahontan Basin, Northern California-Coastal Klamath, Utah, Coastal California, Central California, Colorado, New Mexico, Arizona, and Black Hills.
This layer represents modeled stream temperatures derived from the NorWeST point feature class (NorWest_TemperaturePoints). NorWeST summer stream temperature scenarios were developed for all rivers and streams in the western U.S. from the > 20,000 stream sites in the NorWeST database where mean August stream temperatures were
… [see more]
recorded. The resulting dataset includes stream lines (NorWeST_PredictedStreams) and associated mid-points NorWest_TemperaturePoints) representing 1 kilometer intervals along the stream network. Stream lines were derived from the 1:100,000 scale NHDPlus dataset (USEPA and USGS 2010; McKay et al. 2012). Shapefile extents correspond to NorWeST processing units, which generally relate to 6 digit (3rd code) hydrologic unit codes (HUCs) or in some instances closely correspond to state borders. The line and point shapefiles contain identical modeled stream temperature results. The two feature classes are meant to complement one another for use in different applications. In addition, spatial and temporal covariates used to generate the modeled temperatures are included in the attribute tables at https://www.fs.fed.us/rm/boise/AWAE/projects/Nor- WeST/ModeledStreamTemperatureScenarioMaps.shtml.- The NorWeST NHDPlusV1 processing units include: Salmon, Clearwater, Spokoot, Missouri Headwaters, Snake-Bear, MidSnake, MidColumbia, Oregon Coast, South-Central Oregon, Upper Columbia-Yakima, Washington Coast, Upper Yellowstone-Bighorn, Upper Missouri-Marias, and Upper Green-North Platte. The NorWeST NHDPlusV2 processing units include: Lahontan Basin, Northern California-Coastal Klamath, Utah, Coastal California, Central California, Colorado, New Mexico, Arizona, and Black Hills.
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
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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).
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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
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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.
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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
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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.
The Forests to Faucets dataset provides a watershed index of surface drinking water importance, a watershed index of forest importance to surface drinking water, and a watershed index to highlight the extent to which development, fire, and insects and disease threaten forests important for surface drinking water. The Forests
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to Faucets layer does not cover Alaska, Hawaii, or US Territories. This dataset was created using the 2001 National Landcover Dataset and 2005 housing development estimates. For updated forest and development statistics, please refer to the 2015 Forests on the Edge dataset.
