utf8 dataset dataset 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

pointOfContact 2026-03-06 ISO 19139 Geographic Information - Metadata - Implementation Specification 2007 4269 EPSG 6.5(3.0.1) 2026-03-06 publication U.S. Department of the Interior, Bureau of Land Management (BLM) originator Bureau of Land Management publisher 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 completed 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

pointOfContact monthly Alaska Arizona California Colorado Eastern States Idaho Montana Nevada New Mexico Oregon Utah Wyoming place United States Western States place Anthropology Disturbance Energy Geospatial Management Recreation theme BLM Bureau of Land Management Jurisdiction Public Lands Visual Resource Inventory theme 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. otherRestrictions None, these data are considered public domain utf8 boundaries environment location planningCadastre Esri ArcGIS 10.1.1.3143 true -118.5992939 -100.1485449 32.61547496 49.00016221 publication date -118.5992939 -100.1485449 32.61547496 49.00016221 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) 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

distributor ESRI file geodatabase (gdb) 10.4 https://gis.blm.gov/arcgis/rest/services/recreation/BLM_Natl_VRI_Classes/MapServer dataset 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. 2022-05-13T00:00:00 Spatial Data Coordinator BLM Headquarters Spatial Data Coordinator (303)236-3508

Bldg. 85, Denver Federal Center Denver CO 80225 US scrowe@blm.gov

processor Changes that are made to the VRI data internally are reviewed for correctness before being applied externally. Correctness would include location and point attributes. 2026-03-06T00:00:00 Spatial Data Coordinator BLM Headquarters Spatial Data Coordinator (303)236-3508

Bldg. 85, Denver Federal Center Denver CO 80225 US scrowe@blm.gov

processor 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 2014-12-05 publication 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 2010-08-18 publication publication date 2018-08-18 monthly Last metadata review date: 20170428