Vector polygon map data of property parcels from Las Vegas, Nevada, containing 794,465 features.

Property parcel GIS map data consists of detailed information about individual land parcels, including their boundaries, ownership details, and geographic coordinates.

Property parcel data can be used to analyze and visualize land-related information for purposes such as real estate assessment, urban planning, or environmental management.

Available for viewing and sharing as a map in a Koordinates map viewer. This data is also available for export to DWG for CAD, PDF, KML, CSV, and GIS data formats, including Shapefile, MapInfo, and Geodatabase.

This polygon feature class represents the spatial extent and boundaries for anticipated, in-progress, existing and historic BLM Land Use Planning Area (LUPA) polygons within the BLM Administrative State of Nevada. Land Use Planning Areas are geographic areas within which the BLM will make decisions during a land use planning effort. Land Use Planning Area Boundaries shift from an "in-progress" status and become Existing Land Use Planning Areas when the Land Use Plan has been approved and a Record of Decision Date has been established. At this point, these LUPAs are officially "existing" and the previous plan is moved to a "historic" status.

Assessor Base Map showing Parcel Polygons, Easements, Lotlines, Subdivisions lines, and Right of Way. This data is maintained by the Clark County Assessors Department.

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/ .

This data set depicts federal lands having restrictions on access or activities -- that is, lands mangaed by the National Park Service, Defense Department, or Energy Department -- in western North America. The data set was created by reformatting and merging state- and province-based ownership data layers originally acquired from diverse sources (including state GAP programs, USBLM state offices and other sources). For each original dataset 3 additional fields, "Pub_Pvt", "CA_OWN", and "SOURCE" were added and populated based on the specific ownership information contained in the source data. The original coverages were then merged based on the "CA_OWN" field. Finally, NPS, DOD, and DOE lands were selected out of the ownership layer. All work was completed in AcMap 8.3. This product and all source data are available online from SAGEMAP: http://sagemap.wr.usgs.gov.

description: This dataset combines the work of several different projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset. In the northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was generated by the updated California Gap land cover project. The Hawaii Gap Analysis project provided the data for Hawaii. In areas of the county (central U.S., Northeast, Alaska) that have not yet been covered by a regional Gap Analysis Project, data from the Landfire project was used. Similarities in the methods used by these projects made possible the combining of the data they derived into one seamless coverage. They all used multi-season satellite imagery (Landsat ETM+) from 1999-2001 in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. Vegetation classes were drawn from NatureServe's Ecological System Classification (Comer et al. 2003) or classes developed by the Hawaii Gap project. Additionally, all of the projects included land use classes that were employed to describe areas where natural vegetation has been altered. In many areas of the country these classes were derived from the National Land Cover Dataset (NLCD). For the majority of classes and, in most areas of the country, a decision tree classifier was used to discriminate ecological system types. In some areas of the country, more manual techniques were used to discriminate small patch systems and systems not distinguishable through topography. The data contains multiple levels of thematic detail. At the most detailed level natural vegetation is represented by NatureServe's Ecological System classification (or in Hawaii the Hawaii GAP classification). These most detailed classifications have been crosswalked to the five highest levels of the National Vegetation Classification (NVC), Class, Subclass, Formation, Division and Macrogroup. This crosswalk allows users to display and analyze the data at different levels of thematic resolution. Developed areas, or areas dominated by introduced species, timber harvest, or water are represented by other classes, collectively refered to as land use classes; these land use classes occur at each of the thematic levels. Raster data in both ArcGIS Grid and ERDAS Imagine format is available for download at http://gis1.usgs.gov/csas/gap/viewer/land_cover/Map.aspx Six layer files are included in the download packages to assist the user in displaying the data at each of the Thematic levels in ArcGIS. In adition to the raster datasets the data is available in Web Mapping Services (WMS) format for each of the six NVC classification levels (Class, Subclass, Formation, Division, Macrogroup, Ecological System) at the following links. http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Class_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Subclass_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Formation_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Division_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Macrogroup_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_Ecological_Systems_Landuse/MapServer; abstract: This dataset combines the work of several different projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset. In the northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was generated by the updated California Gap land cover project. The Hawaii Gap Analysis project provided the data for Hawaii. In areas of the county (central U.S., Northeast, Alaska) that have not yet been covered by a regional Gap Analysis Project, data from the Landfire project was used. Similarities in the methods used by these projects made possible the combining of the data they derived into one seamless coverage. They all used multi-season satellite imagery (Landsat ETM+) from 1999-2001 in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. Vegetation classes were drawn from NatureServe's Ecological System Classification (Comer et al. 2003) or classes developed by the Hawaii Gap project. Additionally, all of the projects included land use classes that were employed to describe areas where natural vegetation has been altered. In many areas of the country these classes were derived from the National Land Cover Dataset (NLCD). For the majority of classes and, in most areas of the country, a decision tree classifier was used to discriminate ecological system types. In some areas of the country, more manual techniques were used to discriminate small patch systems and systems not distinguishable through topography. The data contains multiple levels of thematic detail. At the most detailed level natural vegetation is represented by NatureServe's Ecological System classification (or in Hawaii the Hawaii GAP classification). These most detailed classifications have been crosswalked to the five highest levels of the National Vegetation Classification (NVC), Class, Subclass, Formation, Division and Macrogroup. This crosswalk allows users to display and analyze the data at different levels of thematic resolution. Developed areas, or areas dominated by introduced species, timber harvest, or water are represented by other classes, collectively refered to as land use classes; these land use classes occur at each of the thematic levels. Raster data in both ArcGIS Grid and ERDAS Imagine format is available for download at http://gis1.usgs.gov/csas/gap/viewer/land_cover/Map.aspx Six layer files are included in the download packages to assist the user in displaying the data at each of the Thematic levels in ArcGIS. In adition to the raster datasets the data is available in Web Mapping Services (WMS) format for each of the six NVC classification levels (Class, Subclass, Formation, Division, Macrogroup, Ecological System) at the following links. http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Class_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Subclass_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Formation_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Division_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Macrogroup_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_Ecological_Systems_Landuse/MapServer

Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

This map of human habitation was developed, following a modification of Schumacher et al. (2000), by incorporating 2000 U.S Census Data and land ownership. The 2000 U.S. Census Block data and ownership map of the western United States were used to correct the population density for uninhabited public lands. All census blocks in the western United States were merged into one shapefile which was then clipped to contain only those areas found on private or indian reservation lands because human habitation on federal land is negligible. The area (ha) for each corrected polygon was calculated and the 2000 census block data table was joined to the shapefile. In a new field, population density (individuals/ha) corrected for public land in census blocks was calculated . SHAPEGRID in ARC/INFO was used to convert population density values to grid with 90m resolution.

Interactive GIS Mapping Tool – Urgent Drinking Water Needs (UDWN) Web Map in California

Use Constraints:

This mapping tool is for reference and guidance purposes only and is not a binding legal document to be used for legal determinations. The data provided may contain errors, inconsistencies, or may not in all cases appropriately represent the current status of Urgent Drinking Water Needs project locations. The data in this map are subject to change at any time and should not be used as the sole source for decision making. By using this data, the user acknowledges all limitations of the data and agrees to accept all errors stemming from its use. The Urgent Drinking Water Needs map does not provide the locations of individual households that were provided funding through grant agreements with non-profit organizations.

Description:

This map displays Urgent Drinking Water Needs due to drought, contamination, or other eligible emergencies. This includes projects approved for funding from July 1, 2014 to November 18, 2022, including both active and completed projects. The data comes from the State Water Resources Control Board (SWRCB) Cleanup and Abatement Account’s (CAA) project database and was exported on November 18, 2022. The map contains four layers: UDWN_Projects, UDWN_Summary_by_county, CA_Assembly_Districts_WEB, and CA_Senate_Districts_WEB.

The attributes for each project in the UDWN_Projects layer include the recipient of grant funding (grantee), community served, type of project, grant amount, funding program, date the project was approved, date the project was completed, Disadvantaged Community status, Small Disadvantaged Community status, the public water system number, status of the project (Active or Completed), and the state fiscal year in which the project was approved.

How to Use the Interactive Mapping Tool:When the map loads, it displays the state of California, UDWN Project locations, and California county boundaries. The “About” tab is located on the left-hand side of the map and displays instructions for using the map. The next tab display pre-set filters, the legend, and a layer list. Clicking on the “Legend” tab in the menu will show the legend of the map. Projects that appear as blue dots are still active, while projects that appear as red dots have already been completed.Note: Layers that show CA Assembly and Senate Districts were created by the Sierra Nevada Conservancy (SNC). These layers must be toggled on in the layers list to be seen. To view information about a specific project, click on a project location. A pop-up box will appear with the following information: (a) county name, (b) community served, (c) type of project, (d) approved funding amount, (e) approval date, and (f) status. To view information about the total funding and number of projects in a county, click within a county boundary and a pop up will appear.Use the pre-set filters to filter projects by status, fiscal year, funding program, county, assembly district, and/or senate district using the drop-down menu. The filters can be toggled on or off using the switches on the right side of the menu. To create a custom filter, click the filter icon at the bottom of the preset filter menu and enter the desired parameters. For one parameter, click “add expression” to create a custom filter. For more than one, click “add set” to create a custom filter.To export and download filtered data, open the Attribute Table located at the bottom of the map, click the “Options” drop down menu, select “Export all to CSV” from the drop-down menu, and download the desired information.

Map Layers:UDWN_Projects – This layer shows all active or completed UDWN projects from July 1, 2014 to November 18, 2022. Active projects are represented with blue dots while completed projects are represented with red dots. The attributes in this layer include what county the project is in, the community served, the type of project, approved funding amount, approval date, and status.UDWN_Summary_by_county – This layer shows the boundary lines for all the counties in California. The attributes in this layer include the total number of projects and total funding approved in that county since July 1, 2014. CA_Assembly_Districts_WEB – This layer shows the boundary lines for all the assembly districts in California. It is owned and maintained by the Sierra Nevada Conservancy (SNC) and boundaries may not be accurate. CA_Senate_Districts_WEB – This layer shows the boundary lines for all the senate districts in California. It is owned and maintained by the Sierra Nevada Conservancy (SNC) and boundaries may not be accurate.

Informational Pop-up Box:County – California county where the project is locatedCommunity Served – California community that is benefiting from UDWN funding Type of Project – Project type, which can include bottled water, consolidation, hauled water, pilot study, POU, pump, tank, treatment, and well Approved Funding Amount – Amount of money in U.S. dollars approved for the projectApproval Date – Date that the project was approved for fundingStatus – Current status of the project (active or closed)Date Created:

Data created on November 18, 2022 and valid up to this date.

Sources:

Urgent Drinking Water Needs data was exported from the CAA Database.

The Sierra Nevada Conservancy (SNC) created the California Senate and Assembly layers.

Points of Contact:

Christina Raynard is the creator and owner of this layer. Christina.raynard@waterboards.ca.gov (State Water Resources Control Board, Division of Financial Assistance)

Terms of Use

No special restrictions or limitations on using the item’s content have been provided.

This polygon shapefile contains areas of important farmland in Nevada County, California for 2010. Important Farmland Maps show the relationship between the quality of soils for agricultural production and the land's use for agricultural, urban, or other purposes. A biennial map update cycle and notation system employed by FMMP captures conversion to urban land while accommodating rotational cycles in agricultural use. The minimum land use mapping unit is 10 acres unless specified. Smaller units of land are incorporated into the surrounding map classifications. In order to most accurately represent the NRCS digital soil survey, soil units of one acre or larger are depicted in Important Farmland Maps. For environmental review purposes, the categories of Prime Farmland, Farmland of Statewide Importance, Unique Farmland, Farmland of Local Importance, and Grazing Land constitute 'agricultural land' (Public Resources Code Section 21060.1). The remaining categories are used for reporting changes in land use as required for FMMP's biennial farmland conversion report. This layer is part of the 2010 California Farmland Mapping and Montoring Project.

The California Department of Fish and Game (CDFG) worked collaboratively with the California Native Plant Society (CNPS) and Aerial Information Systems (AIS) to produce a fine-scale vegetation map of the northern Sierra Nevada Foothills region, here defined by the two northern subsections of the USDAs Sierra Nevada Foothills Section (Miles and Goudey 1997). This includes 2.6 million acres of land, with approximately 15 percent under public ownership and 85 percent under private ownership. Vegetation sampling by means of the CNPS Relevé and Rapid Assessment Protocols was used to obtain a total of 710 Relevés and 1691 Rapid Assessments, which were used to develop a quantitative classification based on cluster and indicator species analyses. The resulting classification describes vegetation types according to the National Vegetation Classification System; and was used as a basis for creating a map classification generally at the alliance level, where natural vegetation stands were discernable to that level using 1-meter aerial imagery acquired as part of the National Agricultural Imagery Program (NAIP) in 2005 and 2009. The vegetation map includes 67 map units, of which 54 are natural vegetation map units at the floristic alliance level or higher (group) level and 13 are non-vegetation land use mapping units.

Mineral resource occurrence data covering the world, most thoroughly within the U.S. This database contains the records previously provided in the Mineral Resource Data System (MRDS) of USGS and the Mineral Availability System/Mineral Industry Locator System (MAS/MILS) originated in the U.S. Bureau of Mines, which is now part of USGS. The MRDS is a large and complex relational database developed over several decades by hundreds of researchers and reporters. While database records describe mineral resources worldwide, the compilation of information was intended to cover the United States completely, and its coverage of resources in other countries is incomplete. The content of MRDS records was drawn from reports previously published or made available to USGS researchers. Some of those original source materials are no longer available. The information contained in MRDS was intended to reflect the reports used as sources and is current only as of the date of those source reports. Consequently MRDS does not reflect up-to-date changes to the operating status of mines, ownership, land status, production figures and estimates of reserves and resources, or the nature, size, and extent of workings. Information on the geological characteristics of the mineral resource are likely to remain correct, but aspects involving human activity are likely to be out of date.

ALL PUBLIC LANDS MANAGED BY THE BUREAU OF LAND MANAGEMENT AND U.S. FOREST SERVICE IN NEVADA PROHIBIT THE FOLLOWING:1. Possessing, discharging, using or allowing the use of fireworks, pyrotechnic or incendiary devices.2. Possessing, discharging, igniting or causing to burn; explosives or explosive material, including binary explosive targets.3. Discharging a firearm using tracer, incendiary, or steel-component ammunition. [Use of tracer or incendiary ammunition is always prohibited on public lands].4. Operating or using any internal or external combustion engine without a spark arresting device properly installed, maintained and in effective working order.This map is intended for use in the Nevada Wildfire Info Dashboard as well as nevadafireinfo.org showing the current status of fire restrictions in Nevada.

Sec. 368 Corridor Label: Depicts names of designated Section 368 Energy CorridorsSec. 368 Corridor Milepost: This layer depicts milepost point locations along the designated (per the requirements of Section 368 of the Energy Policy Act of 2005) as West-wide energy corridor centerlines in Bureau of Land Management and U.S. Forest Service Records of Decision in connection with the final Programmatic Environmental Impact Statement, Designation of Energy Corridors on Federal Land in the 11 Western States, November 2008. It is intended only as a means to describe locations along the designated corridors. Gaps in the corridor centerlines exist where federal land is not present and there are no designated corridors in these locations, however the gap distances are accounted for in the mileposting, and some mileposts exist in the gaps for continuity in the referencing system.Sec. 368 Designated Corridor - Current: This layer depicts areas which have been designated (per the requirements of Section 368 of the Energy Policy Act of 2005) as West-wide energy corridors in Bureau of Land Management and U.S. Forest Service management plans in connection with the final Programmatic Environmental Impact Statement, Designation of Energy Corridors on Federal Land in the 11Western States, November 2008 and the subsequent Records of Decision.Sec. 368 Designated Corridor - Historic: This layer depicts areas which have been Prohibited from Designation or Revised (per the requirements of Section 368 of the Energy Policy Act of 2005) as West-wide energy corridors in Bureau of Land Management and U.S. Forest Service management plans in connection with the final Programmatic Environmental Impact Statement, Designation of Energy Corridors on Federal Land in the 11Western States, November 2008 and the subsequent Records of Decision.Sec. 368 Designated Corridor Centerline: This layer depicts lines which have been designated (per the requirements of Section 368 of the Energy Policy Act of 2005) as West-wide energy corridor centerlines in Bureau of Land Management and U.S. Forest Service management plans in connection with the final Programmatic Environmental Impact Statement, Designation of Energy Corridors on Federal Land in the 11Western States, November 2008, and the subsequent Records of Decision. Each segment is also attributed with starting and ending mileposts.Regional Review Boundary: Regional review boundaries for Section 368 Energy Corridor reviews.Transmission Line (Wyoming BLM): This feature class contains existing above-ground transmission line geometry across the state of Wyoming. It was digitized from the 2015 NAIP aerial imagery dataset, and was checked for content against the Wyoming Infrastructure Authority data (via NREX) and Platts database data supplied by the BLM National Operations Center. This feature class will continue to be updated on an annual basis in correlation with the BLM's aviation hazards map products revision schedule.Legacy Locally Designated Corridor Area: The dataset consists of locally designated corridors. The dataset was created by combining corridors from multiple BLM sources. Datasets:Existing utility corridors on Kingman Field Office lands (received 9/3/14) Utah corridors (received 9/11/14)Designated BLM utility corridors in Montana (received 9/3/14)Utility corridors as identified by the Resource Management Plan on land managed by the USDOI Bureau of Land Management in the San Luis Valley in SouthCentral Colorado (received 5/14/09)Utility Corridors for the BLM California Desert District (received 7/10/09)Utility corridors in Nevada identified in various land use plans (received 9/3/14) Corridors in Nevada (received 11/3/08)Corridors in the Southern Nevada District Office (received 10/26/16) ROW Corridor designated in Gunnison RMP (received 10/20/2017)Text and map-based descriptions of corridors to remove in Arizona (received 11/8/2017)Legacy Locally Designated Corridor Centerline: This map is designed to display the utility corridors identified in various land use plans. It is a line coverage where lines are assigned labels of existing (some utility in the corridor) corridor, a designated (no utility using the corridor yet) corridor.BLM Solar Energy Zone: This dataset represents Solar Energy Zones available for utility-grade solar energy development under the Bureau of Land Management's Solar Energy Program Western Solar Plan. For details and definitions, see the website at http://blmsolar.anl.gov/sez/.BLM Solar Energy Zone Labels: This feature class was developed to represent Solar Energy Zones as part of the Bureau of Land Management's Solar Energy Program Western Solar Plan.BLM AZ Renewable Energy Dev. Areas: BLM RDEP ROD data. Restoration Design Energy Project Record of Decision, January 2013. This represents the REDA data based upon known resources listed in the ROD Table 2-1, Areas with Known Sensitive Resources (Eliminated from REDA Consideration), known at the time of January 2013. The REDAs may be changed in the future based upon changes in sensitive resources or further analysis and site specific analysis and new baseline data. RDEP decisions are only BLM-administered lands.Bureau of Land Management, Arizona State Office, in conjunction with Environmental Management and Planning Solutions, Incorporated (EMPSi).BLM DRECP Development Focus Area (DFA): This feature class represents Development Focus Areas (DFAs) in the Desert Renewable Energy Conservation Plan (DRECP) Region.BLM DRECP Variance Land: This feature class represents Variance Process Lands in the DRECP.WGA Western Renewable Energy Zone: Depicts renewable energy zone points centered in "geographic areas with at least 1,500 MW of high quality renewable energy within a 100 mile radius", as developed by the Western Governors'Association and U.S. Department of Energy in June 2009. Methodology used to create the dataare described in the WGA report: "Western Renewable Energy Zones - Phase 1Report: Mapping concentrated, high quality resources to meet demand in the WesternInterconnection's distant markets." June 2009.

The datasets that are included in the composite layer making up the protected area layer are given below: DatasetExample DesignationsCitation or hyperlinkPAD-US (CBI Edition)National Parks, GAP Status 1 and 2, State Parks, Open Spaces, Natural Areas“PAD-US (CBI Edition) Version 2.1b, California”. Conservation Biology Institute. 2016. https://databasin.org/datasets/64538491f43e42ba83e26b849f2cad28.Conservation EasementsCalifornia Conservation Easement Database (CCED), 2022a. 2022. www.CALands.org. Accessed December 2022. Inventoried Roadless Areas“Inventoried Roadless Areas.” US Forest Service. Dec 12, 2022. https://www.fs.usda.gov/detail/roadless/2001roadlessrule/maps/?cid=stelprdb5382437BLM National Landscape Conservation SystemWilderness Areas, Wilderness Study Areas, National Monuments, National Conservation Lands, Conservation Lands of the California Desert, Scenic Rivershttps://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-ca-wilderness-areashttps://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-ca-wilderness-study-areashttps://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-ca-national-monuments-nca-forest-reserves-other-poly/Greater Sage Grouse Habitat Conservation Areas (BLM)For solar technology: BLM_Managm IN (‘PHMA’, ‘GHMA’, ‘OHMA’)For wind technology: BLMP_Managm = ‘PHMA’“Nevada and Northeastern California Greater Sage-Grouse Approved Resource Management Plan Amendment.” US Department of the Interior Bureau of Land Management Nevada State Office. 2015. https://eplanning.blm.gov/public_projects/lup/103343/143707/176908/NVCA_Approved_RMP_Amendment.pdf Other BLM Protected AreasAreas of Critical Environmental Concern (ACECs), Recreation Areas (SRMA, ERMA, OHV Designated Areas), including Vinagre Wash Special Recreation Management Area, National Scenic Areas, including Alabama Hills National Scenic Areahttps://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-ca-off-highway-vehicle-designations

Planned Land Use Plan

This dataset is a representation of the boundaries of the original claims (or water-righted places of use) sourced from Pine Creek and tributaries, as identified by the Sixth Judicial District Court in the Barlett Decree of 1931, as well as Duckwater and Currant Creek and tributaries, as identified by the Fifth Judicial District Court in the Duckwater Decree of 1909 and 1910 and the Currant Creek Decree of 1921. These data are intended to assist in identifying the general locations of water-righted areas and their associated claim numbers. This mapping project was initiated in 2024 to assist in determining historical pumpage estimates for the demonstration basins, Pine Valley (053) and Railroad Valley (173B), where groundwater rights may be supplemental to surface water for the Nevada Water Initiative, with the final result being a feature class identifying the locations of each claim for the Pine, Duckwater and Currant Creek Decrees. This feature class is available on the Nevada Division of Water Resources (NDWR) Open Data site: https://data-ndwr.hub.arcgis.com/datasets/NDWR::nevada-water-initiative-decree-boundaries/about. This GIS layer exists only as a guide and starting point to identify the approximate locations of the water-righted areas in comparison to modern place of use boundaries. Further research is required to determine if a particular place of use originally had decreed water rights and whether it has retained those rights. Please contact the Division of Water Resources for more information.In order to produce a GIS depiction of the claims, the decree maps when available were georeferenced to the most up-to-date version of the Public Land Survey System (PLSS) dataset. If decree maps were not available, places of use were mapped based on subdivision descriptions found within the decrees. Each claim was then digitized from the boundaries shown on the georeferenced map and attributed with the assigned claim number and linked with associated information for each claim as described in the decree.This layer is strictly a visual representation, and it is important to note that acreages listed in this dataset may not match the decree for each claim. Assumptions were made regarding claims in the Barlett Decree where acreages overlapped within a subdivision resulting in combined acreage amounts across multiple years of priority or land classifications. In some cases, claims were not mapped because boundaries were not shown for a given subdivision on the georeferenced map. Changes in the PLSS for Railroad Valley (173B) were incorporated when mapping the subdivisions for the Duckwater Decree, as the modern boundaries varied from the decreed descriptions.Authors: McCartin, C.R., and Vergin, T.N.Initial Release: May 22, 2024