20260902
16033000
20260807
11025800
editor:esri.dijit.metadata.editor
1.0
FGDC CSDGM Metadata
false
FALSE
2021-11-04
15431600
vri_class_poly
-167.844375
-100.148545
31.332108
71.389543
1
Geographic
GCS_North_American_1983
Angular Unit: Degree (0.017453)
<GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/2.8.0'><WKT>GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433],AUTHORITY["EPSG",4269]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>999999999.99999988</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>8.9831528411952133e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4269</WKID><LatestWKID>4269</LatestWKID></GeographicCoordinateSystem>
150000000
5000
NOC Data Management Lead
BLM National Operations Center, OC530
NOC Data Management Lead
Bldg. 85, Denver Federal Center
Denver
CO
80225
US
kkirkpatrick@blm.gov
2026-08-07
ArcGIS Metadata
1.0
NOC Data Management Lead
BLM National Operations Center, OC530
NOC Data Management Lead
Bldg. 85, Denver Federal Center
Denver
CO
80225
US
kkirkpatrick@blm.gov
ESRI file geodatabase (gdb)
10.4
https://gis.blm.gov/arcgis/rest/services/recreation/BLM_Natl_VRI_Classes/MapServer
BLM-STATE
Alaska
Arizona
California
Colorado
Eastern States
Idaho
Montana
Nevada
New Mexico
Oregon
Utah
Wyoming
BLM-THEME
Anthropology
Disturbance
Energy
Geospatial
Management
Recreation
NONE
United States
Western States
Visual Resource Inventory Keyword List
BLM
Bureau of Land Management
Jurisdiction
Public Lands
Visual Resource Inventory
BLM Natl Visual Resource Inventory Classes Polygons
2026-08-07
U.S. Department of the Interior, Bureau of Land Management (BLM)
Bureau of Land Management
This is an aggregate national dataset. Source data were received from all or some of the BLM state offices of Alaska, Arizona, California, Colorado, Eastern States, Idaho, Montana, Nevada, New Mexico, Oregon/Washington, Utah, and Wyoming.
The Visual Resource Inventory Classes Polygon is a component of the Visual Resources Inventory (VRI) and includes information needed for inventorying for visual values on BLM-managed public lands according to policy direction found in Manual 8400 and related Handbook 8410-1. Current policy requires that every acre of BLM land be inventoried for visual values and be assigned one of four VRI classes (Class I, II, III, or IV). Class I is reserved for those areas where a management decision has been made previously to maintain a natural landscape. This includes areas such as national wilderness areas, the wild section of national wild and scenic rivers, and other congressionally and administratively designated areas where decisions have been made to preserve a natural landscape. The inventory classes provide the basis for considering visual values in the resource management planning (RMP) process and constitute the current state of visual resource values as part of the affected environment sections of environmental analyses. Particularly, this data pertains Visual Resource National, State, District and Field Office leads and any group, program, or organization that is involved with surface disturbance activities or visually altering activities, including: Land Use Planners, Realty Specialists, Recreation Planners, Natural Resource Specialists, Landscape Architects, Cultural Resource Specialists, Fluid Minerals and Renewable Energy.
This dataset is a subset of the official national dataset, containing features and attributes intended for public release and has been optimized for online map service performance. The Schema Workbook represents the official national dataset from which this dataset was derived.
Current policy requires that every acre of BLM land be inventoried for visual values and be assigned one of four VRI classes (Class I, II, III, or IV). Class I is reserved for those areas where a management decision has been made previously to maintain a natural landscape. This includes areas such as national wilderness areas, the wild section of national wild and scenic rivers, and other congressionally and administratively designated areas where decisions have been made to preserve a natural landscape. VRI consists of a scenic quality evaluation, sensitivity level analysis, and a delineation of distance zones. Based on a matrix combination of these three factors, BLM-administered lands are placed into one of three visual resource inventory classes (VRI II-IV). These inventory classes represent the relative value of the visual resources, with classes I and II being the most valued, Class III representing a moderate value, and Class IV being of lesser visual value. The inventory classes provide the basis for considering visual values in the resource management planning (RMP) process and constitute the current state of visual resource values as part of the affected environment sections of environmental analyses.
BLM Admin State
National Data Steward
Bureau of Land Management
National Data Steward
(303) 236-6354
Bldg. 85, Denver Federal Center
Denver
CO
80225
US
knrogers@blm.gov
Alaska
Anthropology
Arizona
BLM
boundaries
Bureau of Land Management
California
Colorado
Disturbance
Eastern States
Energy
environment
Geospatial
Idaho
Jurisdiction
location
Management
Montana
Nevada
New Mexico
Oregon
planningCadastre
Public Lands
Recreation
United States
Utah
Visual Resource Inventory
Western States
Wyoming
These data are provided by BLM "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. The information contained in these data is dynamic and may change over time. The data are not better than the original sources from which they were derived, and both scale and accuracy may vary across the data set. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content of the metadata file associated with these data. These data are neither legal documents nor land surveys, and must not be used as such. Official records may be referenced at most BLM offices. Please report any errors in the data to the BLM office for which it was obtained. The BLM should be cited as the data source in any products derived from these data. Any Users wishing to modify the data should describe the types of modifications they have performed. The User should not misrepresent the data, nor imply that changes made were approved or endorsed by BLM. This information may be updated without notification.
The BLM assumes no responsibility for errors or omissions. No warranty is made by the BLM as to the accuracy, reliability, or completeness of these data for individual use or aggregate use with other data; nor shall the act of distribution to contractors, partners, or beyond, constitute any such warranty for individual or aggregate data use with other data. Although these data have been processed successfully on computers of BLM, no warranty, expressed or implied, is made by BLM regarding the use of these data on any other system, or for general or scientific purposes, nor does the fact of distribution constitute or imply any such warranty. In no event shall the BLM have any liability whatsoever for payment of any consequential, incidental, indirect, special, or tort damages of any kind, including, but not limited to, any loss of profits arising out of the use or reliance on the geographic data or arising out of the delivery, installation, operation, or support by BLM.
None, these data are considered public domain
Esri ArcGIS 10.1.1.3143
true
-118.5992939
-100.1485449
49.00016221
32.61547496
publication date
Unknown
Unknown
Unknown
A published revision of the Department Manual’s Part 305: Departmental Science Effects, Chapter 3: Integrity of Scientific and Scholarly Activities (305 DM 3), effective December 16, 2014, is available online at http://elips.doi.gov/ELIPS/DocView.aspx?id=4056. Scholarly information considered in Departmental decision making must be robust, of the highest quality, and the result of as rigorous scientific and scholarly processes as can be achieved. Most importantly, it must be trustworthy. This policy helps us to achieve that standard (http://www.doi.gov/scientificintegrity/index.cfm)
-118.5992939
-100.1485449
49.00016221
32.61547496
Last metadata review date: 20170428
This national dataset is an aggregation from multiple datasets provided by the BLM Administrative States. Please contact the distributor for additional information on provenance, history, accuracy and quality of a particular state's data. The accuracy of attributes in this dataset reflects that of the source datasets.
This national dataset is an aggregation from multiple datasets provided by the BLM Administrative States. Please contact the distributor for additional information on provenance, history, accuracy and quality of a particular state's data. The logical consistency of this dataset reflects that of the source datasets.
This national dataset is an aggregation from multiple datasets provided by the BLM Administrative States. Please contact the distributor for additional information on provenance, history, accuracy and quality of a particular state's data. The completeness of this dataset reflects that of the source datasets.
This national dataset is an aggregation from multiple datasets provided by the BLM Administrative States, please contact the distributor for additional information on provenance, history, accuracy and quality of a particular state's data. The positional accuracy across this dataset varies according to the source.
Using the Schema Workbook, GIS staff at BLM field and state offices cross-walk and clean up their data to comply with the standardized national dataset. Then, the BLM field and/or state offices submit the data to the National Operations Center (NOC), where it is compiled to produce seamless national datasets.
20220513
Spatial Data Coordinator
BLM Headquarters
Spatial Data Coordinator
(303)236-3508
Bldg. 85, Denver Federal Center
Denver
CO
80225
US
scrowe@blm.gov
This official BLM Data Management handbook contains information about how data is administered, managed, and tracked. This handbook discusses how the BLM operates with regard to data development and design, quality, metadata, and business rules. The information this resource contains also pertains to geospatial data.
H-1283-2 Data Administration and Management Handbook
H-1283-2 Data Administration and Management Handbook
2014-12-05
publication date
2014-12-05
This document describes the physical design for the national data standard for the geospatial dataset. It is intended as a guideline for implementation. States may extend and expand upon this guideline in order to meet their specific needs, provided that when the data is pushed up to the national level, it will meet the minimum requirements as set forth in the Data Standard.
Visual Resources Inventory (VRI) Schema Workbook
Visual Resources Inventory (VRI) Schema Workbook
2010-08-18
publication date
2018-08-18
Changes that are made to the VRI data internally are reviewed for correctness before being applied externally. Correctness would include location and point attributes.
2026-08-07
Spatial Data Coordinator
BLM Headquarters
Spatial Data Coordinator
(303)236-3508
Bldg. 85, Denver Federal Center
Denver
CO
80225
US
scrowe@blm.gov
Visual Resource Inventory Classes Polygon
Visual Resource Inventory class polygons are derived from the feature classes for scenic quality, visual sensitivity level and distance zones; therefore, there are no separately defined bounding arcs. Inventories are informational and do not constitute a management class. Any inventory data should be labeled as “informational only” when shared or distributed. Additionally, once a visual resource inventory polygon has been delineated and assigned an inventory class; the class assignment and boundary can only be changed through the visual resource inventory process. Please refer to the Data Standard Report for additional business rules. Please refer to Manual H-8410-1 Visual Resource Inventory for information on determining visual resource inventory classes.
BLM
OBJECTID
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
SHAPE
Feature geometry.
Esri
Coordinates defining the features.
VRI_AREA_ID
The designed primary key that will uniquely identify a single occurrence of the entity. A 15 digit unique identifier which is the concatenation of: VRI Unit Type Name (prefix “VRI”), Administrative State Code (2 characters),The Administrative Office Code (6 characters), and VRI Area Number (4 digit sequential number).
BLM Visual Resource Inventory Schema Workbook, Version 1.3
ADMIN_ST
An alphabetic abbreviation that represents each of the 50 states of the United States, the District of Columbia, the outlying areas of the United States, and associated areas. FIPS PUB 5-2.
BLM Visual Resource Inventory Schema Workbook, Version 1.3
ADM_OFC_CD
BLM Administrative office (which is subordinate to the state office) that has jurisdiction and/or management authority over lands within a geographic area.
BLM Visual Resource Inventory Schema Workbook, Version 1.3
ADM_UNIT_CD
The code that indicates the formal grouping of positions into designated units and the assignment of functions and responsibilities to those units based on the DOI FPPS structure. The BLM administrative unit/office that is a combination of Administrative State Code and Administrative Office Code that fully identifies the geographic area which has jurisdiction over the lands.
BLM Visual Resource Inventory Schema Workbook, Version 1.3
VRI_AREA_NR
A 4 digit sequential number starting at 001 for the polygons representing the different Visual Resource Inventory Class Areas that fall within the jurisdictional area of the office coded in ADM_UNIT_CD.
BLM Visual Resource Inventory Schema Workbook, Version 1.3
ADMIN_FO_NM
The official name by which the organization is known. An organization may include businesses, agencies, or corporations, but not individual persons.
BLM Visual Resource Inventory Schema Workbook, Version 1.3
VRI_EVAL
The person or persons who evaluate the visual resource inventory. Comma-delimited text field listing the evaluators who conduct the inventory, beginning with the principle point of contact.
BLM Visual Resource Inventory Schema Workbook, Version 1.3
VRI_CONTACT
The name of the BLM person who is the current contact for information regarding the visual resource inventory.
BLM Visual Resource Inventory Schema Workbook,
VRI_ORIG_DT
The date on which the inventory class was assigned to an area based on the scenic quality, sensitivity level and distance zone.
BLM Visual Resource Inventory Schema Workbook, Version 1.3
VRI_MOD_DT
The date on which the inventory class was assigned to an area based on the scenic quality, sensitivity level and distance zone. Date on which the inventory class was last modified, or where a change was made to the outline of the visual resource inventory class area.
BLM Visual Resource Inventory Schema Workbook, Version 1.3
VRI_CLASS_CODE
The code for the category that is assigned to a BLM administered area based on its scenic quality, sensitivity and visual distance zone. This is for the Inventory Class, and does not constitute a Management Class.
BLM Visual Resource Inventory Schema Workbook, Version 1.3
VRI_CLASS_TX
Text explaining why a specific visual resource inventory class was assigned. Use this attribute to explain, or comment on, where class assignment does not follow the matrix, to describe why a small polygon was retained, etc.
BLM Visual Resource Inventory Schema Workbook, Version 1.3
BLM_ACRE
The acres within the polygon that are under BLM jurisdiction.
BLM Visual Resource Inventory Schema Workbook, Version 1.3
SQ_CODE
The code for the scenic quality rating for the Visual Resource Inventory. Scenic quality code assigned to a scenic quality rating unit based on the total score for all seven factors of scenic quality.
BLM Visual Resource Inventory Schema Workbook, Version 1.3
SL_OVRL_RT
The name associated with the level of concern the public has for scenic quality. The name associated with the overall level of concern for maintaining scenic quality. Sensitivity Level Overall Rating derived from all five sensitivity level factors.
BLM Visual Resource Inventory Schema Workbook, Version 1.3
VDZ_CODE
The code for the landscape distance zone based on relative visibility from travel routes or observation points.
BLM Visual Resource Inventory Schema Workbook, Version 1.3
VRI_REHAB_IND
Indicator that the area was identified as needing rehabilitation during the visual resource inventory process.
BLM Visual Resource Inventory Schema Workbook, Version 1.3
VRI_SPCL_IND
Indicator that the area was identified during the visual resource inventory as possessing unique landscape and/or visual quality characteristics. This indicator should be used for an area that may or may not currently have special status, but that would benefit from special consideration in the management plan (for example, Visual ACEC, Outstanding Natural Area, or similar).
BLM Visual Resource Inventory Schema Workbook, Version 1.3
GlobalID
Software generated value. A field of type UUID (Universal Unique Identifier) in which values are automatically assigned by the geodatabase when a row is created. This field is not editable and is automatically populated when it is added for existing data. This attribute is included for purposes of replication only. It is not used as a unique identifier for relationships between feature classes/tables.
created_user
ESRI generated field for tracking edits
created_date
ESRI generated field for tracking edits
last_edited_user
ESRI generated field for tracking edits
last_edited_date
ESRI generated field for tracking edits
SHAPE_Length
Length of feature in internal units.
Esri
SHAPE_Area
Area of feature in internal units squared.
Esri
Original_GlobalID
Software generated value. A field of type UUID (Universal Unique Identifier) in which values are automatically assigned by the geodatabase when a row is created. This field is not editable and is automatically populated when it is added for existing data. This attribute is included for purposes of replication only. It is not used as a unique identifier for relationships between feature classes/tables.
See the BLM Visual Resource Inventory Data Dictionary contained in Zip Folder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EPSG
6.5(3.0.1)