Forest ownership in the conterminous United States: ForestOwn_v1 geospatial dataset

Metadata:

Identification_Information:
Citation:
Citation_Information:
Originator: Nelson, Mark D.
Originator: Liknes, Greg C.
Originator: Butler, Brett J.
Publication_Date: 2010
Title:
Forest ownership in the conterminous United States: ForestOwn_v1 geospatial dataset
Geospatial_Data_Presentation_Form: raster digital data
Publication_Information:
Publication_Place: Newtown Square, PA
Publisher: USDA Forest Service, Northern Research Station
Online_Linkage: https://doi.org/10.2737/RDS-2010-0002
Description:
Abstract:
ForestOwn_v1 is a 250-meter spatial resolution raster geospatial dataset of forest ownership of the conterminous United States (CONUS). The dataset was prepared by the Forest Inventory and Analysis (FIA) program, Northern Research Station, Forest Service, United States Department of Agriculture (USDA), and differentiates forest from non-forest land and water, public and private ownership, and the percent of private forest land in corporate ownership. The forest/non-forest land/water classification is derived from the USDA Forest Service's CONUS Forest/Nonforest dataset. Public and private land ownership class is derived from the Protected Areas Database of the United States, Version 1.1 (CBI Edition). Corporate ownership of private forest land is derived from the Forest Service's 2007 Resources Planning Act (RPA) dataset, summarized over the Environmental Protection Agency's Original Environmental Monitoring & Assessment Program (EMAP) grid 648 square kilometer hexagon dataset.
Purpose:
The ForestOwn_v1 dataset is designed for conducting geospatial analyses and for producing cartographic products over regional to national geographic extents.
Supplemental_Information:
A corresponding Research Map (RMAP) has been produced to cartographically portray this dataset.

Original metadata date was 02/09/2011. Minor metadata updates were made on 05/10/2013, 04/16/2014, 12/21/2016, and 02/06/2017. Additional minor metadata updates were made on 04/20/2023.

On 07/23/2020 a newer version of these data became available (Sass et al. 2020).
Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 2000
Ending_Date: 2008
Currentness_Reference:
Ground condition
Status:
Progress: Complete
Maintenance_and_Update_Frequency: Unknown
Spatial_Domain:
Description_of_Geographic_Extent:
Conterminous United States
Bounding_Coordinates:
West_Bounding_Coordinate: -127.979198
East_Bounding_Coordinate: -65.259548
North_Bounding_Coordinate: 51.651763
South_Bounding_Coordinate: 22.802857
Keywords:
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: forest land
Theme_Keyword: non-forest
Theme_Keyword: ownership
Theme_Keyword: corporate
Theme_Keyword: ForestOwn_v1
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: boundaries
Theme:
Theme_Keyword_Thesaurus: National Research & Development Taxonomy
Theme_Keyword: Inventory, Monitoring, & Analysis
Theme_Keyword: Resource inventory
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: Conterminous United States
Place_Keyword: CONUS
Access_Constraints: None
Use_Constraints:
These data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the following citation:

Nelson, Mark D.; Liknes, Greg C.; Butler, Brett J. 2010. Forest ownership in the conterminous United States: ForestOwn_v1 geospatial dataset. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station. https://doi.org/10.2737/RDS-2010-0002

Appropriate uses include: statewide biodiversity planning, regional planning or biological assessments, coarse-scale (e.g. national) evaluation of ecosystem representation within forest/non-forest and public/private areas.

Inappropriate uses include: resource planning at a scale smaller than statewide; establishing exact legal boundaries of ownership parcels; establishing definite presence or absence of any land cover class, ownership boundary, or corporate ownership category; determining exact areas for parcels or ownership categories.
Point_of_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Mark D. Nelson
Contact_Organization: USDA Forest Service, Northern Research Station, Forest Inventory and Analysis
Contact_Position: Research Forester
Contact_Address:
Address_Type: mailing and physical address
Address: 1992 Folwell Avenue
City: St. Paul
State_or_Province: MN
Postal_Code: 55108
Country: USA
Contact_Voice_Telephone: 651-649-5104
Contact_TDD/TTY_Telephone: 651-649-5040
Contact_Facsimile_Telephone: 651-649-5140
Contact_Electronic_Mail_Address: mark.d.nelson@usda.gov
Hours_of_Service: 8:00 - 4:00
Contact Instructions: Prefer email contact.
Data_Set_Credit:
Funding for this project provided with the USDA Forest Service Northern Research Station.
Native_Data_Set_Environment:
Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog 9.3.1.3500
Cross_Reference:
Citation_Information:
Originator: Sass, Emma M.
Originator: Butler, Brett J.
Originator: Markowski-Lindsay, Marla A.
Publication_Date: 2020
Title:
Forest ownership in the conterminous United States circa 2017: distribution of eight ownership types - geospatial dataset
Geospatial_Data_Presentation_Form: raster digital data
Publication_Information:
Publication_Place: Fort Collins, CO
Publisher: Forest Service Research Data Archive
Online_Linkage: https://doi.org/10.2737/RDS-2020-0044
Cross_Reference:
Citation_Information:
Originator: Nelson, Mark D.
Originator: Liknes, Greg C.
Originator: Butler, Brett J.
Publication_Date: 2010
Title:
Map of forest ownership in the conterminous United States. [Scale 1:7,5000,000.]
Geospatial_Data_Presentation_Form: map
Series_Information:
Series_Name: Research Map
Issue_Identification: NRS-2
Publication_Information:
Publication_Place: Newtown Square, PA
Publisher: U.S. Department of Agriculture, Forest Service, Northern Research Station
Online_Linkage: https://doi.org/10.2737/NRS-RMAP-2
Cross_Reference:
Citation_Information:
Originator: Hewes, Jaketon H.
Originator: Butler, Brett J.
Originator: Liknes, Greg C.
Originator: Nelson, Mark D.
Originator: Snyder, Stephanie A.
Publication_Date: 2014
Title:
Public and private forest ownership in the conterminous United States: distribution of six ownership types - geospatial dataset
Geospatial_Data_Presentation_Form: raster digital data
Publication_Information:
Publication_Place: Fort Collins, CO
Publisher: Forest Service Research Data Archive
Online_Linkage: https://doi.org/10.2737/RDS-2014-0002
Cross_Reference:
Citation_Information:
Originator: Hewes, Jaketon H.
Originator: Butler, Brett J.
Originator: Liknes, Greg C.
Publication_Date: 2017
Title:
Forest ownership in the conterminous United States circa 2014: distribution of seven ownership types - geospatial dataset
Geospatial_Data_Presentation_Form: raster digital data
Publication_Information:
Publication_Place: Fort Collins, CO
Publisher: Forest Service Research Data Archive
Online_Linkage: https://doi.org/10.2737/RDS-2017-0007
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Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
A non-site-specific assessment was conducted. We do not report site-specific (per-pixel) classification accuracy; rather, we assess agreement between estimates from ForestOwn_v1 and a sample-based dataset. Area estimates of total forest land, public forest land, private forest land, and private corporate forest land were produced for each of 48 states within the conterminous United States (CONUS). Estimates from ForestOwn_v1 geospatial dataset were compared with estimates published in the U.S. Forest Service's 2007 RPA report (https://www.fia.fs.fed.us/program-features/rpa/default.asp). Results suggest that forest land area estimates from ForestOwn_v1 provide a reasonable spatial approximation of forest inventory estimates, but agreement varies by state and ownership category.
Quantitative_Attribute_Accuracy_Assessment:
Attribute_Accuracy_Value: Total forest land area
Attribute_Accuracy_Explanation:
The estimate of CONUS forest land area derived from ForestOwn_v1 (655,420,000 acres) is 5.3 percent larger than an estimate from the U.S. Forest Service's 2007 RPA report (622,610,000 acres, https://www.fia.fs.fed.us/program-features/rpa/default.asp), and falls outside an approximate 95 percent confidence interval surrounding the RPA2007 estimate (616,099,000 - 629,121,000), indicating that the difference is statistically significant. Comparing 48 per-state estimates from these two sources, CONUS area-weighted root-mean-square-deviation (RMSD) is 0.4 percent. Relative agreement varies greatly by state; those with the largest percent deviations in forest land area include Oklahoma, North Dakota, Texas, North Carolina, and South Carolina.
Quantitative_Attribute_Accuracy_Assessment:
Attribute_Accuracy_Value: Public forest land area
Attribute_Accuracy_Explanation:
The estimate of CONUS public forest land area derived from ForestOwn_v1 (277,500,000 acres) is 3.9 percent smaller than an estimate from the U.S. Forest Service's 2007 RPA report (236,612,000 acres, https://www.fia.fs.fed.us/program-features/rpa/default.asp). Comparing 48 per-state estimates from these two sources, CONUS area-weighted root-mean-square-deviation (RMSD) is 0.3 percent.
Quantitative_Attribute_Accuracy_Assessment:
Attribute_Accuracy_Value: Private forest land area
Attribute_Accuracy_Explanation:
The estimate of CONUS private forest land area derived from ForestOwn_v1 (427,920,000 acres) is 10.9 percent larger than an estimate from the U.S. Forest Service's 2007 RPA report (385,998,000 acres, https://www.fia.fs.fed.us/program-features/rpa/default.asp). Comparing 48 per-state estimates from these two sources, CONUS area-weighted root-mean-square-deviation (RMSD) is 0.5 percent.
Quantitative_Attribute_Accuracy_Assessment:
Attribute_Accuracy_Value: Private coroprate forest land area
Attribute_Accuracy_Explanation:
The estimate of CONUS private corporate forest land area derived from ForestOwn_v1 (124,724,000 acres) is 17.4 percent larger than an estimate from the U.S. Forest Service's 2007 RPA report (106,219,000 acres, https://www.fia.fs.fed.us/program-features/rpa/default.asp). Comparing 48 per-state estimates from these two sources, CONUS area-weighted root-mean-square-deviation (RMSD) is 0.8 percent.
Logical_Consistency_Report:
Accuracy assessments for the Forest/Nonforest source dataset were reported by Blackard et al. (2008) and Ruefenacht et al. (2008).

Blackard, J. A., M. V. Finco, E. H. Helmer, G. R. Holden, M. L. Hoppus, D. M. Jacobs, A. J. Lister, G. G. Moisen, M. D. Nelson, R. Riemann, B. Ruefenacht, D. Salajanu, D. L. Weyermann, K. C. Winterberger, T. J. Brandeis, R. L. Czaplewski, R. E. McRoberts, P. L. Paterson, and R. P. Tymcio. 2008. Mapping U.S. forest biomass using nationwide forest inventory data and moderate resolution information. Remote Sensing of Environment, Remote Sensing Data Assimilation Special Issue 112:1658-1677.

Ruefenacht, B., M. V. Finco, M. D. Nelson, R. L. Czaplewski, E. H. Helmer, J. A. Blackard, G. R. Holden, A. J. Lister, D. Salajanu, D. Weyermann, and K. Winterberger. 2008. Conterminous U.S. and Alaska forest type mapping using Forest Inventory and Analysis data. Photogrammetric Engineering & Remote Sensing 74:1379-1388.


The Protected Areas Database (the source of ownership data) was constructed from dozens of datasets having varying levels of accuracy. Refer to the attribute accuracy reports of the source data for more information about a particular state.
Completeness_Report:
ForestOwn_v1 is complete for the conterminous United States (CONUS), except where no corporate ownership data were available for scattered pixels of private forest lands. These pixels are labeled accordingly (Class 9 - Private forest: unknown corporate ownership).

PAD-US 1.1 (CBI Edition) data were compiled with the best (most complete, recent) datasets available for each state in the U.S. Therefore, completeness may vary. Refer to the metadata for the state of interest for further information about completeness.
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator: USDA Forest Service, Forest Inventory and Analysis program and Remote Sensing Applications Center
Publication_Date: 2008
Title:
Contiguous U.S. Forest/Non-forest Map
Geospatial_Data_Presentation_Form: raster digital data
Other_Citation_Details:
The CONUS Forest/Nonforest dataset is a subcomponent of two national datasets produced by the U.S. Department of Agriculture Forest Service:

Blackard, J. A., M. V. Finco, E. H. Helmer, G. R. Holden, M. L. Hoppus, D. M. Jacobs, A. J. Lister, G. G. Moisen, M. D. Nelson, R. Riemann, B. Ruefenacht, D. Salajanu, D. L. Weyermann, K. C. Winterberger, T. J. Brandeis, R. L. Czaplewski, R. E. McRoberts, P. L. Paterson, and R. P. Tymcio. 2008. Mapping U.S. forest biomass using nationwide forest inventory data and moderate resolution information. Remote Sensing of Environment, Remote Sensing Data Assimilation Special Issue 112:1658-1677.

Ruefenacht, B., M. V. Finco, M. D. Nelson, R. L. Czaplewski, E. H. Helmer, J. A. Blackard, G. R. Holden, A. J. Lister, D. Salajanu, D. Weyermann, and K. Winterberger. 2008. Conterminous U.S. and Alaska forest type mapping using Forest Inventory and Analysis data. Photogrammetric Engineering & Remote Sensing 74:1379-1388.

Original URL (now outdated): http://fsgeodata.fs.fed.us/rastergateway/biomass/conus_forest_nonforest.htm
Online_Linkage: https://data.fs.usda.gov/geodata/
Source_Scale_Denominator: 250
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 2000
Ending_Date: 2008
Source_Currentness_Reference:
ground condition
Source_Citation_Abbreviation:
Forest/Nonforest
Source_Contribution:
The USDA Forest Service's Contiguous U.S. Forest/Non-forest Map (raster geospatial dataset) is used to determine three land cover classes: forest, non-forest land, and water.
Source_Information:
Source_Citation:
Citation_Information:
Originator: US Geological Survey National Gap Analysis Program
Publication_Date: 20100609
Title:
PAD-US 1.1 (CBI Edition)
Edition: 1.1
Geospatial_Data_Presentation_Form: vector digital data
Other_Citation_Details:
PAD-US 1.1 (CBI Edition) was prepared in collaboration with the PAD-US Partnership, a public-private planning consortium supported by the USGS and the Doris Duke Charitable Foundation. Key groups involved include USGS, The Conservation Biology Institute (CBI), the U.S. Forest Service, the Bureau of Land Management and The Nature Conservancy, with coordination provided through GreenInfo Network:
PAD-US 1.1 (CBI Edition) is based primarily on a previous version of the Protected Areas Database (PAD), produced by the Conservation Biology Institute (CBI), Corvallis, Oregon (https://consbio.org). More information on the PAD-US Partnership can be found at: //www.protectedlands.net
An earlier version of the Protected Areas Database (PAD) is described in: DellaSala, D. A., N. L. Staus, J. R. Strittholt, A. Hackman, and A. Iacobelli. 2001. An updated protected areas database for the United States and Canada. Natural Areas Journal 21:124-135.
Online_Linkage: //www.protectedlands.net
Source_Scale_Denominator: 100000
Type_of_Source_Media: GeoDatabase
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 1994
Ending_Date: 2000
Source_Currentness_Reference:
ground condition
Source_Citation_Abbreviation:
PAD-US 1.1 (CBI Edition)
Source_Contribution:
Public and private land ownership is derived from the Protected Areas Database of the United States, version 1.1 (CBI Edition). Ownership class was subsequently assigned to forest and non-forest land cover classes.

Source data were produced at various map scales, usually at 1:100,000 or finer
Source_Information:
Source_Citation:
Citation_Information:
Originator: USDA Forest Service, Forest Inventory and Analysis
Publication_Date: 2007
Title:
FIA plot tables
Geospatial_Data_Presentation_Form: tabular digital data
Other_Citation_Details:
FIA and supporting plot data were compiled for the 2007 RPA, Forest Resources of the United States Assessment: https://www.fia.fs.fed.us/program-features/rpa/default.asp
Online_Linkage: https://www.fia.fs.fed.us/tools-data/
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2007
Source_Currentness_Reference:
publication date
Source_Citation_Abbreviation:
RPA2007
Source_Contribution:
Corporate ownership of private forest land is derived from the Forest Service's 2007 RPA dataset.
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Environmental Protection Agency
Publication_Date: 1992
Title:
Original EMAP grid 648 square kilometer hexagons
Geospatial_Data_Presentation_Form: vector digital data
Other_Citation_Details:
White, D., A. J. Kimerling, and W. S. Overton. 1992. Cartographic and geometric components of a global sampling design for environmental monitoring. Cartography and Geographic Information Systems 19:5-22.
Online_Linkage: https://www.epa.gov/wed/pages/staff/white/getgrid.htm
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 1992
Source_Currentness_Reference:
publication date
Source_Citation_Abbreviation:
EMAP
Source_Contribution:
EMAP hexagons were used to summarize RPA plot attributes to obtain per-hexagon percentage of private forest land in corporate ownership.
Source_Information:
Source_Citation:
Citation_Information:
Originator: Unknown
Publication_Date: 2008
Title:
RPA 2007 Percent Corporate Private Forest Land Ownership
Geospatial_Data_Presentation_Form: vector digital data
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2007
Source_Currentness_Reference:
publication date
Source_Citation_Abbreviation:
Corporate
Source_Contribution:
This dataset portrays per-hexagon percentage of private forest land in corporate ownership.
Process_Step:
Process_Description:
ForestOwn_v1 is a 250-meter spatial resolution ArcInfo raster grid dataset derived from a 250-meter Imagine raster image of Forest/Nonforest, a GeoDatabase of Protected Areas (PAD-US 1.1 (CBI Edition)), a tabular dataset of Forest Inventory field plot data assembled for RPA reporting, and an ArcInfo EMAP hexagon cover.

Geographic extents of all input datasets were set to the Forest/Nonforest dataset.
Source_Used_Citation_Abbreviation:
Forest/Nonforest
Process_Date: Unknown
Source_Produced_Citation_Abbreviation:
Forest/Nonforest
Process_Step:
Process_Description:
PAD-US 1.1 (CBI Edition) polygons were recoded to 1-Private when "Class_Desc" = 2000-Native American Land, 6000-Non-Governmental Organization, 7000-Private, 8000-Water, or 9000-Unknown.

Polygons in PAD-US 1.1 (CBI Edition) were recoded to 2-Public when "Class_Desc" = 1000-Federal Land, 3000-State Land, 4000-Regional Agency Land, 5000-Local Government Land, or 7050-Joint Ownership.

PAD-US 1.1 (CBI Edition) public polygons were selected, saved to a shapefile, and converted to an ArcInfo grid dataset with 250-meter spatial resolution, and coded as 2-Public. Non-public pixels corresponding to forest, non-forest land, or water pixels in Forest/Nonforest were coded as 1-Private.
Source_Used_Citation_Abbreviation:
PAD-US 1.1 (CBI Edition)
Source_Used_Citation_Abbreviation:
Forest/Nonforest
Process_Date: Unknown
Source_Produced_Citation_Abbreviation:
Private/Public
Process_Step:
Process_Description:
Publicly available plot location coordinates for RPA 2007 plots were intersected with the EMAP 648 km hexagon cover and assigned with the hexagon User-ID associated with each plot. Plots then were summarized by hexagon to estimate the percentage of private forest land area within corporate ownership. Per-hexagon percentages were binned into 10-percent classes.

Each EMAP hexagon was attributed with one of the binned classes and converted to a 250-meter spatial resolution grid dataset, snapped to the Forest/Nonforest dataset.
Source_Used_Citation_Abbreviation:
RPA2007
Source_Used_Citation_Abbreviation:
EMAP
Source_Used_Citation_Abbreviation:
Forest/Nonforest
Process_Date: Unknown
Source_Produced_Citation_Abbreviation:
Corporate
Process_Step:
Process_Description:
ForestOwn_v1:

If 'Forest/Nonforest' = 3-Water, then 'ForestOwn_v1' = 3-Water. Else, if 'Forest/Nonforest' = 2-Nonforest, then 'ForestOwn_v1' = 'PADUS_v1 Private/Public' [1-Private Nonforest, 2-Public Nonforest]. Else,
If 'PADUS_v1 Private/Public' = 2-Public, then 'ForestOwn_v1' = 20-Public Forest. Else, 'ForestOwn_v1' = 'Corporate', i.e., 9 = Unknown corporate ownership of private forest land, 10 = 0-10 percent of private forest land in corporate ownership, 11 = 11-20 percent of private forest land in corporate ownership, 12 = 21-30 percent of private forest land in corporate ownership, 13 = 31-40 percent of private forest land in corporate ownership, 14 = 41-50 percent of private forest land in corporate ownership, 15 = 51-60 percent of private forest land in corporate ownership, 16 = 61-70 percent of private forest land in corporate ownership, 17 = 71-80 percent of private forest land in corporate ownership, 18 = 81-90 percent of private forest land in corporate ownership, and 19 = 91-100 percent of private forest land in corporate ownership.

Unassigned pixels are labelled as 'NoData', meaning that insufficient RPA plot data exist within an EMAP hexagon. Therefore, corporate ownership of private forest land could not be assigned. Codes 4-8 are null.
Source_Used_Citation_Abbreviation:
Forest/Nonforest
Source_Used_Citation_Abbreviation:
Private/Public
Source_Used_Citation_Abbreviation:
Corporate
Process_Date: Unknown
Source_Produced_Citation_Abbreviation:
ForestOwn_v1
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Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Raster
Raster_Object_Information:
Raster_Object_Type: Grid Cell
Row_Count: 11659
Column_Count: 18500
Vertical_Count: 1
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Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Map_Projection:
Map_Projection_Name: Albers Conical Equal Area
Albers_Conical_Equal_Area:
Standard_Parallel: 29.500000
Standard_Parallel: 45.500000
Longitude_of_Central_Meridian: -96.000000
Latitude_of_Projection_Origin: 23.000000
False_Easting: 0.000000
False_Northing: 0.000000
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: row and column
Coordinate_Representation:
Abscissa_Resolution: 250
Ordinate_Resolution: 250
Planar_Distance_Units: meters
Geodetic_Model:
Horizontal_Datum_Name: North American Datum of 1983
Ellipsoid_Name: Geodetic Reference System 80
Semi-major_Axis: 6378137
Denominator_of_Flattening_Ratio: 298.257222
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Entity_and_Attribute_Information:
Detailed_Description:
Entity_Type:
Entity_Type_Label: forestown_v1.vat
Entity_Type_Definition:
map of forest ownerships
Entity_Type_Definition_Source:
sources defined elsewhere in metadata
Attribute:
Attribute_Label: Rowid
Attribute_Definition:
Internal feature number.
Attribute_Definition_Source:
ESRI
Attribute_Domain_Values:
Unrepresentable_Domain:
Sequential unique whole numbers that are automatically generated.
Attribute:
Attribute_Label: VALUE
Attribute_Definition:
A numeric code that identifies private vs. public, non-forest vs. forest, and percent of private forest in corporate ownership.
Attribute_Definition_Source:
Authors
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 1
Enumerated_Domain_Value_Definition:
Nonforest: Private
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 2
Enumerated_Domain_Value_Definition:
Nonforest: Public
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 3
Enumerated_Domain_Value_Definition:
Water
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 9
Enumerated_Domain_Value_Definition:
Forest: Private: Unknown Corporate
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 10
Enumerated_Domain_Value_Definition:
Forest: Private: 0-10% Corporate
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 11
Enumerated_Domain_Value_Definition:
Forest: Private: 11-20% Corporate
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 12
Enumerated_Domain_Value_Definition:
Forest: Private: 21-30% Corporate
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 13
Enumerated_Domain_Value_Definition:
Forest: Private: 31-40% Corporate
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 14
Enumerated_Domain_Value_Definition:
Forest: Private: 41-50% Corporate
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 15
Enumerated_Domain_Value_Definition:
Forest: Private: 51-60% Corporate
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 16
Enumerated_Domain_Value_Definition:
Forest: Private: 61-70% Corporate
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 17
Enumerated_Domain_Value_Definition:
Forest: Private: 71-80% Corporate
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 18
Enumerated_Domain_Value_Definition:
Forest: Private: 81-90% Corporate
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 19
Enumerated_Domain_Value_Definition:
Forest: Private: 91-100% Corporate
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 20
Enumerated_Domain_Value_Definition:
Forest: Public
Attribute:
Attribute_Label: COUNT
Attribute_Definition:
Number of 250-meter pixels
Attribute_Definition_Source:
ArcGIS software
Attribute:
Attribute_Label: CLASS
Attribute_Definition:
Description of cover type of a particular pixel.
Attribute_Definition_Source:
Authors
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: Nonforest: Private
Enumerated_Domain_Value_Definition:
Nonforest lands in private ownership
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: Nonforest: Public
Enumerated_Domain_Value_Definition:
Nonforest lands in public ownership
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: Water
Enumerated_Domain_Value_Definition:
Water
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: Forest: Private: Unknown Corporate
Enumerated_Domain_Value_Definition:
Forest lands in private ownership; corporate ownership is unknown.
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: Forest: Private: 0-10% Corporate
Enumerated_Domain_Value_Definition:
Forest lands in private ownership, of which 0-10% is in corporate ownership.
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: Forest: Private: 11-20% Corporate
Enumerated_Domain_Value_Definition:
Forest lands in private ownership, of which 11-20% is in corporate ownership.
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: Forest: Private: 21-30% Corporate
Enumerated_Domain_Value_Definition:
Forest lands in private ownership, of which 21-30% is in corporate ownership.
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: Forest: Private: 31-40% Corporate
Enumerated_Domain_Value_Definition:
Forest lands in private ownership, of which 31-40% is in corporate ownership.
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: Forest: Private: 41-50% Corporate
Enumerated_Domain_Value_Definition:
Forest lands in private ownership, of which 41-50% is in corporate ownership.
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: Forest: Private: 51-60% Corporate
Enumerated_Domain_Value_Definition:
Forest lands in private ownership, of which 51-60% is in corporate ownership.
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: Forest: Private: 61-70% Corporate
Enumerated_Domain_Value_Definition:
Forest lands in private ownership, of which 61-70% is in corporate ownership.
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: Forest: Private: 71-80% Corporate
Enumerated_Domain_Value_Definition:
Forest lands in private ownership, of which 71-80% is in corporate ownership.
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: Forest: Private: 81-90% Corporate
Enumerated_Domain_Value_Definition:
Forest lands in private ownership, of which 81-90% is in corporate ownership.
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: Forest: Private: 91-100% Corporate
Enumerated_Domain_Value_Definition:
Forest lands in private ownership, of which 91-100% is in corporate ownership.
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: Forest: Public
Enumerated_Domain_Value_Definition:
Forest lands in public ownership.
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Distribution_Information:
Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: USDA Forest Service, Research & Development
Contact_Position: Research Data Archivist
Contact_Address:
Address_Type: mailing
Address: 240 West Prospect Road
City: Fort Collins
State_or_Province: CO
Postal_Code: 80526
Country: USA
Contact_Voice_Telephone: see Contact Instructions
Contact Instructions: This contact information was current as of July 2020. For current information see Contact Us page on: https://doi.org/10.2737/RDS.
Resource_Description: RDS-2010-0002
Distribution_Liability:
Metadata documents have been reviewed for accuracy and completeness. Unless otherwise stated, all data and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. However, neither the author, the Archive, nor any part of the federal government can assure the reliability or suitability of these data for a particular purpose. The act of distribution shall not constitute any such warranty, and no responsibility is assumed for a user's application of these data or related materials.

The metadata, data, or related materials may be updated without notification. If a user believes errors are present in the metadata, data or related materials, please use the information in (1) Identification Information: Point of Contact, (2) Metadata Reference: Metadata Contact, or (3) Distribution Information: Distributor to notify the author or the Archive of the issues.
Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Format_Name: ARC:Grid
File_Decompression_Technique: Files zipped with 7-Zip 19.0
Transfer_Size: 29
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name: https://doi.org/10.2737/RDS-2010-0002
Fees: None
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Metadata_Reference_Information:
Metadata_Date: 20230423
Metadata_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Mark D. Nelson
Contact_Organization: USDA Forest Service, Northern Research Station, Forest Inventory and Analysis
Contact_Position: Research Forester
Contact_Address:
Address_Type: mailing and physical address
Address: 1992 Folwell Avenue
City: St. Paul
State_or_Province: MN
Postal_Code: 55108
Country: USA
Contact_Voice_Telephone: 651-649-5104
Contact_TDD/TTY_Telephone: 651-649-5040
Contact_Facsimile_Telephone: 651-649-5140
Contact_Electronic_Mail_Address: mark.d.nelson@usda.gov
Hours_of_Service: 8:00 - 4:00
Contact Instructions: Prefer email contact.
Metadata_Standard_Name: FGDC Content Standard for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998
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https://www.fs.usda.gov/rds/archive/products/RDS-2010-0002/_metadata_RDS-2010-0002.html