Update information can be found within the layer’s attributes and in a table on the Utah Parcel Data webpage under Basic Parcels."Database containing parcel boundary, parcel identifier, parcel address, owner type, and county recorder contact information" - HB113. The intent of the bill was to not include any attributes that the counties rely on for data sales. If you want other attributes associated with the parcels you need to contact the county recorder.Users should be aware the owner type field 'OWN_TYPE' in the parcel polygons is a very generalized ownership type (Federal, Private, State, Tribal). It is populated with the value of the 'OWNER' field where the parcel's centroid intersects the CADASTRE.LandOwnership polygon layer.This dataset is a snapshot in time and may not be the most current. For the most current data contact the county recorder.

Update information can be found within the layer’s attributes and in a table on the Utah Parcel Data webpage under Basic Parcels."Database containing parcel boundary, parcel identifier, parcel address, owner type, and county recorder contact information" - HB113. The intent of the bill was to not include any attributes that the counties rely on for data sales. If you want other attributes associated with the parcels you need to contact the county recorder.Users should be aware the owner type field 'OWN_TYPE' in the parcel polygons is a very generalized ownership type (Federal, Private, State, Tribal). It is populated with the value of the 'OWNER' field where the parcel's centroid intersects the CADASTRE.LandOwnership polygon layer.This dataset is a snapshot in time and may not be the most current. For the most current data contact the county recorder.

Update information can be found within the layer’s attributes and in a table on the Utah Parcel Data webpage under Basic Parcels."Database containing parcel boundary, parcel identifier, parcel address, owner type, and county recorder contact information" - HB113. The intent of the bill was to not include any attributes that the counties rely on for data sales. If you want other attributes associated with the parcels you need to contact the county recorder.Users should be aware the owner type field 'OWN_TYPE' in the parcel polygons is a very generalized ownership type (Federal, Private, State, Tribal). It is populated with the value of the 'OWNER' field where the parcel's centroid intersects the CADASTRE.LandOwnership polygon layer.This dataset is a snapshot in time and may not be the most current. For the most current data contact the county recorder.

Update information can be found within the layer’s attributes and in a table on the Utah Parcel Data webpage under Basic Parcels."Database containing parcel boundary, parcel identifier, parcel address, owner type, and county recorder contact information" - HB113. The intent of the bill was to not include any attributes that the counties rely on for data sales. If you want other attributes associated with the parcels you need to contact the county recorder.Users should be aware the owner type field 'OWN_TYPE' in the parcel polygons is a very generalized ownership type (Federal, Private, State, Tribal). It is populated with the value of the 'OWNER' field where the parcel's centroid intersects the CADASTRE.LandOwnership polygon layer.This dataset is a snapshot in time and may not be the most current. For the most current data contact the county recorder.

This dataset depicts the land ownership status, formal place name designations, administrative areas of responsibility for the State of Utah, primarily consistent with 1:24,000 or finer map accuracy goals. Users are strongly encouraged to familiarize themselves with the ‘Data Content’ section below as there are several key fields that unlock multiple possible layers from this single layer.The key fields that users should review and understand are named: OWNER, OWNERAGENCY, ADMIN, DESIG and the two LABEL fields as values from these fields can be used to select subsets for display or analysis (see example layers below).Revisions are posted weekly to AGRC’s SGID’s database, services, and file-based download products.Maintenance of this data layer is performed by a cooperative federal and state effort. The Utah School and Institutional Trust Lands Administration (SITLA) revises this data regularly to reflect changes in State Trust Lands, other State Land and Private Land as needed.The BLM contributes updates to this data to reflect changes in Federal Land as needed. Other information is edited and updated as needed but not on a regular schedule.No warranties or certification, express or implied, are provided for the statewide Land Ownership and related GIS mapping layer. This data product has been compiled as a best effort service strictly for general purpose informational use and any interpretations made are the responsibility of the User.Updates to this layer are expected later in 2017 and forward as AGRC, SITLA and partners adopt and implement the ESRI Parcel Fabric Data Model for the Public Land Survey System. This is expected to be done county by county.Data Content:Important descriptive attribute fields listed with valid values or, a short description of features with 'name' label attributes and examples.OWNER (The physical Owner of the parcel of land)* Federal (Owned by The United States of America)* Private (Private, County, City or Town Ownership)* State (Owned by the State of Utah)* Tribal (Native American Tribal Ownership)OWNER AGENCY (The physical Agency who is responsible for the parcel ownership, OWNER AGENCY may differ from ADMIN if the agency is NOT the administrator of the parcel)* BLM (US Bureau of Land Management)* BR (US Bureau of Reclamation)* DNR (State of Utah Department of Natural Resources)* DOD (US Department of Defense)* DOE (US Department of Energy)* NPS (US National Park Service)* OS (Other State Agency, State Facilities, and others state holdings)* OF (United States Other Federal Land may include any of the following: AEC, BOM, FAA, GSA, or others)* Private (Privately held properties, including City, County and Non-Profit)* SITLA (State of Utah School and Institutional Trust Lands Administration)* Tribal (Tribal Lands)* UDOT (State of Utah Department of Transportation)* USFS (US Forest Service)* USFWS (US Fish and Wildlife Service)ADMIN (Name of the Entity with Administrative Jurisdiction to the parcel)* BLM (US Bureau of Land Management)* BR (US Bureau of Reclamation)* DOD (US Department of Defense)* DOE (US Department of Energy)* NPS (National Park Service)* OS (State of Utah, Other holdings)* Private (Privately held properties)* SITLA (School and Institutional Trust Lands Administration)* FFSL (Utah DNR - Div. of Forestry, Fire and State Lands)* Tribal (Tribal lands)* UDWR (Utah DNR - Div. of Wildlife Resources)* UDOT (Utah Department of Transportation)* USFS (US Forest Service)* USFWS (US Fish and Wildlife Service)* USP (Utah DNR - State Parks)DESIG (the "type" of land use or designation – general land management designations)Describes the "Type" of Land Use or Designation. This field characterizes general land management designations for parcels of land and describes how, or for what use the land is to be managed (ex: Designated as Wilderness, National Park, State Park). This field can accommodate, if necessary, further withdrawals, leases, or permits designated by the ADMIN. E.g. If the USFS places a withdrawal on a parcel, i.e. for wilderness designation, the DESIG field can be used to account for this case. However, only a single designation can be addressed in the DESIG field; we cannot account for multiple withdrawals, leases, or permits on a parcel in this data standard. The data steward or editor must decide the most pertinent information to describe in the DESIG field.* Bankhead Jones (Federal lands (BLM and USFS) acquired under the Bankhead-Jones Farm Tenant Act)* Conservation Lands (Land that is being protected, through outright purchase or the purchase of development rights. Easements are held by private non-profit organizations, municipalities and fed or state agencies.)* Indian Reservation (Indian Reservations and/or Native American Tribal Lands)* Military (Military Reservations and Corps of Engineers)* N/A (No specified designation)* National Forest (US National Forest)* National Historic Site (US National Historic Site)* National Monument (US National Monument)* National Park (US National Park)* National Recreation Area (US National Recreation Area)* National Wildlife Refuge (US National Wildlife Refuge)* Other (Designation not specified in detail)* Parks and Recreation (Parks and Recreation Areas)* Primitive Area (US Primitive Area)* Public Water Reserve (US Public Water Reserve)* Reclamation Withdrawl (US Reclamation Withdrawl)* Repository (US Repository)* State Sovereign Land (Sovereign Land consists of the beds of Utah's navigable rivers and lakes)* State Trust Land (State of Utah School and Institutional Trust Lands Administration (SITLA) is an independent agency of state government. It was created in 1994 by the Utah state legislature to manage lands granted to the state of Utah by the United States for the support of public schools and other beneficiary institutions.)* Wilderness (Congressionally Designated Wilderness)* Wildlife Reserve/Management Area (Federal, State, Private or Tribal Designated Wildlife Areas)LABEL_FEDERAL (Administrative names for identifying federally designated Wilderness Areas, National Parks, Monuments, Forest Service units, Primitive Areas, Tribal Lands, etc. and the Private Lands within each proclamation boundary, where applicable).This field contains label text if the feature is a:* Federal Bird Refuge* Federal Military installation* USFS National Forest (and corresponding districts)* National Historic Site* National Monument* National Park (and corresponding units)* National Recreation Area* Federal Primitive Area* Tribal Land or Reservation* Congressionally Designated Wilderness AreaExamples: Arches National Park (Klondike Bluffs), Canyonlands National Park (The Needles District), Dugway Proving Grounds US Army, Fish Springs National Wildlife Refuge, Grand Gulch Primitive Area, Uinta National Forest (Mount Nebo Wilderness Area), White Mesa Ute Tribal LandsLABEL_STATE (Administrative names for identifying State Lands, including State Parks, Wildlife Areas, State Trust Lands Administrative Blocks and Sovereign Lands and the Private Lands within each proclamation boundary, where applicable).This field contains label text if the feature is a:* State Fish Hatchery* School and Institutional Trust Lands Administration (SITLA) Block* State Park* State Wildlife AreaExamples: 9-Mile State Wildlife Area, Dead Horse Point State Park, State Trust Lands Book Cliffs Block, Whiterocks Fish HatcheryNote: Shape_area field is in square meters.

Update information can be found within the layer’s attributes and in a table on the Utah Parcel Data webpage under Basic Parcels."Database containing parcel boundary, parcel identifier, parcel address, owner type, and county recorder contact information" - HB113. The intent of the bill was to not include any attributes that the counties rely on for data sales. If you want other attributes associated with the parcels you need to contact the county recorder.Users should be aware the owner type field 'OWN_TYPE' in the parcel polygons is a very generalized ownership type (Federal, Private, State, Tribal). It is populated with the value of the 'OWNER' field where the parcel's centroid intersects the CADASTRE.LandOwnership polygon layer.This dataset is a snapshot in time and may not be the most current. For the most current data contact the county recorder.

Update information can be found within the layer’s attributes and in a table on the Utah Parcel Data webpage under Basic Parcels."Database containing parcel boundary, parcel identifier, parcel address, owner type, and county recorder contact information" - HB113. The intent of the bill was to not include any attributes that the counties rely on for data sales. If you want other attributes associated with the parcels you need to contact the county recorder.Users should be aware the owner type field 'OWN_TYPE' in the parcel polygons is a very generalized ownership type (Federal, Private, State, Tribal). It is populated with the value of the 'OWNER' field where the parcel's centroid intersects the CADASTRE.LandOwnership polygon layer.This dataset is a snapshot in time and may not be the most current. For the most current data contact the county recorder.

The USGS Protected Areas Database of the United States (PAD-US) is the nation's inventory of protected areas, including public open space and voluntarily provided, private protected areas, identified as an A-16 National Geospatial Data Asset in the Cadastral Theme (http://www.fgdc.gov/ngda-reports/NGDA_Datasets.html). PAD-US is an ongoing project with several published versions of a spatial database of areas dedicated to the preservation of biological diversity, and other natural, recreational or cultural uses, managed for these purposes through legal or other effective means. The geodatabase maps and describes public open space and other protected areas. Most areas are public lands owned in fee; however, long-term easements, leases, and agreements or administrative designations documented in agency management plans may be included. The PAD-US database strives to be a complete “best available” inventory of protected areas (lands and waters) including data provided by managing agencies and organizations. The dataset is built in collaboration with several partners and data providers (http://gapanalysis.usgs.gov/padus/stewards/). See Supplemental Information Section of this metadata record for more information on partnerships and links to major partner organizations. As this dataset is a compilation of many data sets; data completeness, accuracy, and scale may vary. Federal and state data are generally complete, while local government and private protected area coverage is about 50% complete, and depends on data management capacity in the state. For completeness estimates by state: http://www.protectedlands.net/partners. As the federal and state data are reasonably complete; focus is shifting to completing the inventory of local gov and voluntarily provided, private protected areas. The PAD-US geodatabase contains over twenty-five attributes and four feature classes to support data management, queries, web mapping services and analyses: Marine Protected Areas (MPA), Fee, Easements and Combined. The data contained in the MPA Feature class are provided directly by the National Oceanic and Atmospheric Administration (NOAA) Marine Protected Areas Center (MPA, http://marineprotectedareas.noaa.gov ) tracking the National Marine Protected Areas System. The Easements feature class contains data provided directly from the National Conservation Easement Database (NCED, http://conservationeasement.us ) The MPA and Easement feature classes contain some attributes unique to the sole source databases tracking them (e.g. Easement Holder Name from NCED, Protection Level from NOAA MPA Inventory). The "Combined" feature class integrates all fee, easement and MPA features as the best available national inventory of protected areas in the standard PAD-US framework. In addition to geographic boundaries, PAD-US describes the protection mechanism category (e.g. fee, easement, designation, other), owner and managing agency, designation type, unit name, area, public access and state name in a suite of standardized fields. An informative set of references (i.e. Aggregator Source, GIS Source, GIS Source Date) and "local" or source data fields provide a transparent link between standardized PAD-US fields and information from authoritative data sources. The areas in PAD-US are also assigned conservation measures that assess management intent to permanently protect biological diversity: the nationally relevant "GAP Status Code" and global "IUCN Category" standard. A wealth of attributes facilitates a wide variety of data analyses and creates a context for data to be used at local, regional, state, national and international scales. More information about specific updates and changes to this PAD-US version can be found in the Data Quality Information section of this metadata record as well as on the PAD-US website, http://gapanalysis.usgs.gov/padus/data/history/.) Due to the completeness and complexity of these data, it is highly recommended to review the Supplemental Information Section of the metadata record as well as the Data Use Constraints, to better understand data partnerships as well as see tips and ideas of appropriate uses of the data and how to parse out the data that you are looking for. For more information regarding the PAD-US dataset please visit, http://gapanalysis.usgs.gov/padus/. To find more data resources as well as view example analysis performed using PAD-US data visit, http://gapanalysis.usgs.gov/padus/resources/. The PAD-US dataset and data standard are compiled and maintained by the USGS Gap Analysis Program, http://gapanalysis.usgs.gov/ . For more information about data standards and how the data are aggregated please review the “Standards and Methods Manual for PAD-US,” http://gapanalysis.usgs.gov/padus/data/standards/ .

Walk In Access, or WIA, areas are tracts of private land which the Utah Division of Wildlife Resources leases for the purpose of providing free public access for fishing, hunting, wildlife viewing, or trapping. This data is general reference for administrative and public use.

This dataset depicts the 1:24,000 scale land ownership status and areas of responsibility for the State of Utah. Revisions are posted weekly on the AGRC SGID.Maintenance of this data layer is performed by a cooperative federal and state effort. The Utah School and Institutional Trust Lands Administration (SITLA) revises this data regularly to reflect changes in State Trust Lands, other State Land and Private Land as needed. The BLM revises this data regularly to reflect changes in Federal Land as needed. Other information is edited and updated as needed but not on a regular schedule.

This dataset contains the urban growth simulation results of future land use in 2040 of the Wasatch Range Metropolitan Area (WRMA) .In this study, we defined the WRMA as a broad, ten-county region that surrounds the Wasatch Mountain Range east of the Great Salt Lake and Salt Lake City in Utah. This region encompasses four Wasatch Front counties west of the mountain range (Weber County, Davis County, Salt Lake County, and Utah County), three Wasatch Back counties east of the mountain range (Morgan County, Summit County, and Wasatch County), and three counties neighboring the Wasatch Front (Cache County, Box Elder County, and Tooele County).

SLEUTH-3r urban growth simulation model is used to generate this dataset. Detailed SLEUTH model protocol can be found at: http://www.ncgia.ucsb.edu/projects/gig/index.html. The data used to run the SLEUTH-3r model include National Land Cover Database 2001, 2006, and 2011, US Census TIGER/Line shapefile for 2000 and 2011, United States Geological Survey 7.5 min elevation model, and Utah Landownership map from Utah Automated Geographic Reference Center.

Three alternative scenarios were developed to explore how conserving Utah’s agriculturale land and maintaining healthy watersheds would affect the patterns and trajectories of urban development: 1) The first scenario is a “Business as Usual” scenario. In this scenario, federal, state, and local parks, conservation easement areas, and surface water bodies, were completely excluded (value = 100) from development, and all the remaining lands are were naively assumed as developable (value = 0). This is the same excluded layer that was also used during model calibration. Under this scenario, we hypothesized that future urban grow will occur following the historical growth behaviors and trajectories and no changes in land designation or policies to restrict future growth will be implemented. 2) The second scenario is an “Agricultural Conservation” scenario. Within the developable areas that we identified earlier, we then identified places that are classified by the United States Department of Agriculture (USDA) as prime farmland, unique farmland, farmland of statewide importance, farmland of local importance, prime farmland if irrigated, and prime farmland if irrigated and drained. Each of these classes were assigned with an exclusion value from urban development of 100, 80, 70, 60, 50, and 40 respectively. These exclusion values reflect the relative importance of each farmland classification and preservation priorities. By doing so, the model discourages but does not totally eliminate growth from occurring on agricultural lands, which reflects a general policy position to conserve agricultural landscapes while respecting landowners’ rights to sell private property. 3) A “Healthy Watershed” scenario aims to direct urban growth away from areas prone to flooding and areas critical for maintaining healthy watersheds. First, we made a 200-meter buffer around existing surface water bodies and wetlands and assigned these areas an exclusion value of 100 to keep growth from occurring there. In addition, we assigned areas that have frequent, occasional, rare and no-recorded flooding events with exclusion values of 100, 70, 40 and 0 accordingly. We also incorporated the critical watershed restoration areas identified by the Watershed Restoration Initiative of Utah Division of Wildlife Resources (https://wri.utah.gov/wri/) into this scenario. These watershed restoration areas are priority places for improving water quality and yield, reducing catastrophic wildfires, restoring the structure and function of watersheds following wildfire, and increasing habitat for wildlife populations and forage for sustainable agriculture. However, there are not yet legal provisions for protecting them from urbanization, so we assigned these areas a value of 70 to explore the potential urban expansion outcomes if growth were encouraged elsewhere.

Future land use projections of 2040 are in GIF format, which can be reprojected and georeferenced in ArcGIS or QGIS, or be read directly as a picture.

These data are part of a larger USGS project to develop an updated geospatial database of mines, mineral deposits and mineral regions in the United States. Mine and prospect-related symbols, such as those used to represent prospect pits, mines, adits, dumps, tailings, etc., hereafter referred to as “mine” symbols or features, are currently being digitized on a state-by-state basis from the 7.5-minute (1:24,000-scale) and the 15-minute (1:48,000 and 1:62,500-scale) archive of the USGS Historical Topographic Maps Collection, or acquired from available databases (California and Nevada, 1:24,000-scale only). Compilation of these features is the first phase in capturing accurate locations and general information about features related to mineral resource exploration and extraction across the U.S. To date, the compilation of 500,000-plus point and polygon mine symbols from approximately 67,000 maps of 22 western states has been completed: Arizona (AZ), Arkansas (AR), California (CA), Colorado (CO), Idaho (ID), Iowa (IA), Kansas (KS), Louisiana (LA), Minnesota (MN), Missouri (MO), Montana (MT), North Dakota (ND), Nebraska (NE), New Mexico (NM), Nevada (NV), Oklahoma (OK), Oregon (OR), South Dakota (SD), Texas (TX), Utah (UT), Washington (WA), and Wyoming (WY). The process renders not only a more complete picture of exploration and mining in the western U.S., but an approximate time line of when these activities occurred. The data may be used for land use planning, assessing abandoned mine lands and mine-related environmental impacts, assessing the value of mineral resources from Federal, State and private lands, and mapping mineralized areas and systems for input into the land management process. The data are presented as three groups of layers based on the scale of the source maps. No reconciliation between the data groups was done.

This dataset depicts the official State of Utah School and Institutional Trust Lands Administration surface land ownership data. This dataset depicts the 1:24,000 scale land ownership status and areas of responsibility for the State of Utah. Revisions are posted weekly and are also available on the Utah Geospatial Resource Center (UGRC) SGID. Maintenance of this data layer is performed by a cooperative federal and state effort. The Trust Lands Administration revises this data regularly to reflect changes in State Trust Lands, Other State Lands and Private Lands as needed. The Bureau of Land Management (BLM) revises this data regularly to reflect changes in Federal Lands as needed. Other information is edited and updated as needed but not on a regular schedule.

Walk In Access, or WIA, areas are tracts of private land which the Utah Division of Wildlife Resources leases for the purpose of providing free public access for fishing, hunting, wildlife viewing, or trapping. This dataset represents point features such as parking areas and access points.This data is general reference for administrative and public use.

This dataset depicts the 1:24,000 scale land ownership status and areas of responsibility for the State of Utah. Revisions are posted weekly on the AGRC SGID.Maintenance of this data layer is performed by a cooperative federal and state effort. The Utah School and Institutional Trust Lands Administration (SITLA) revises this data regularly to reflect changes in State Trust Lands, other State Land and Private Land as needed. The BLM revises this data regularly to reflect changes in Federal Land as needed. Other information is edited and updated as needed but not on a regular schedule.

"Database containing parcel boundary, parcel identifier, parcel address, owner type, and county recorder contact information" - HB113. The intent of the bill was to not include any attributes that the counties rely on for data sales. If you want other attributes associated with the parcels you need to contact the county recorder.Users should be aware the owner type field 'OWN_TYPE' in the parcel polygons is a very generalized ownership type (Federal, Private, State, Tribal). It is populated with the value of the 'OWNER' field where the parcel's centroid intersects the CADASTRE.LandOwnership polygon layer.This dataset is a snapshot in time and may not be the most current. For the most current data contact the county recorder.Last Update: July, 2018