Vector polygon map data of property parcels from Canyon County, Idaho containing 101,782 features.

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

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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.

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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 map provides assorted zoning, service areas, and municipal information to support property research for Boise, Idaho.

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.

Web map showing the cartographic representation of state surface endowments managed by the Idaho Department of Lands. Feature services used in this web map include Idaho Endowment Land broken out by endowment, IDL Supervisory Area Boundaries, and Idaho State Boundary. Editing this web map will update the Idaho Endowment Land Web Application.

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

This maps shows City of Boise annexations since the original townsite was established in 1866 by the Idaho Territorial Legislature. Use the time-slider to watch the City grow over time. An annexation is the legal incorporation of a geographic area in to a political body. A de-annexation is the secession of a geographic area from a political body. De-annexed areas are areas that were once part of the incorporated boundaries of Boise City but have been removed from the incorporated boundaries (based on the ordinance tied to the de-annexation). The source of the data is the ordinances of annexation recorded by the Boise City Clerks' office. The map also depicts the current incorporated boundaries for cities within Ada County. The Ada County Assessor's Office maintains the city limits and impact areas datasets within Ada County. City boundaries are determined by taxcode and maintained continually, adding areas annexed to city limits by current ordinances. The impact areas dataset depicts the unincorporated areas of Ada County surrounding each city as identified in Title 9 of the Ada County Code, in accordance with Idaho Code Section 67-6526. This data is maintained by City of Boise GIS and is based on the legal descriptions contained in the ordinances. This data set is continually being updated as annexations occur. It is current to the date it was published.For more information, please contact the Ada County Assessor's Division of Land Records/GIS or the City of Boise Planning & Development Services division.

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.

description: This data series contains 22 map layers for the University of Idaho Main Campus Moscow, Idaho. Map layers include building footprints, automobile, motorcycle and bike parking, curbs, land use, pedestrian lights, tree health, walkways, and sidewalk as well as others. Most data are not being updated on a regular basis and are current only to 2005.; abstract: This data series contains 22 map layers for the University of Idaho Main Campus Moscow, Idaho. Map layers include building footprints, automobile, motorcycle and bike parking, curbs, land use, pedestrian lights, tree health, walkways, and sidewalk as well as others. Most data are not being updated on a regular basis and are current only to 2005.

The surficial geology, wetlands, and deepwater habitats of the Coeur d' Alene River Valley, Idaho were mapped by Arthur A. Bookstrom and Stephen E. Box (1996-1998) onto 1:24,000 scale topographic base maps (stable-base greenline mylars) for input into an Arc/Info geographic information system (GIS).

MCCALL IMPACT ZONEMcCall Impact zone received from City of McCall GIS Department. As City Engineers for McCall, CH2MHill has been tasked to develop spatially accurate Zoning and Parcel information for the City Manager of Public Works, Roger Millar. We expect to use an official Geodedic survey in this data, and use as a baseline for an eventual City wide planning and development project. This Data being different from known past data, in that, we are combining City limits and urban renewal information with W/S/SD information. This information is not accurate for individual property owners, parcel by parcel.DONNELLY IMPACT ZONEDonnelly Impact zone received from independent GIS contractor Garrett Mapp (garrettmapp@gmail.com).CASCADE IMPACT ZONECascade Impact zone digitized manually by Valley County GIS Analyst based on a legal description and map provided by Surveyor John Russell. Boundary within Cascade reservoir may not be representative in that it is described as 1000 to 1320 feet distance from high water mark - however no high water mark spatial data was available at time of Cascade Impact Area digitization by Valley County GIS Analyst.

This dataset provides the spatial distribution of vegetation types, soil carbon, and physiographic features in the Imnavait Creek area, Alaska. Specific attributes include vegetation, percent water, glacial geology, soil carbon, a digital elevation model (DEM), surficial geology and surficial geomorphology. Data are also provided on the research grids for georeferencing. The map data are from a variety of sources and encompass the period 1970-06-01 to 2015-08-31.

Digital cartographic data is provided on the Yukon Flats National Wildlife Refuge. The data set contains land cover classifications derived from Landsat MSS data and elevation, slope and aspect data derived from DEM data. Data can be keyed on a U.S. Geological Survey 1:250,000 quadrangle basis. Spatial referencing is by 50 meter grid cells. Data source is Landsat MSS data and Digital Elevation Model (DEM) data. The data set contains 70 records.

 Limited documentation and users guide are available. Data is organized by 7
 1/2 ' or 15 ' quads.

map: Claim map.

The U.S Geological Survey (USGS) Land Cover Institute (LCI) will address land cover topics from local to global scales, and in both domestic and international settings. The USGS through the Land Cover Institute serves as a facilitator for land cover and land use science, applications, and production functions. The institute assists in the availability and technical support of land cover data sets through increasing public and scientific awareness of the importance of land cover science.

The Idaho National Engineering and Environmental Laboratory (INEEL) has produced digital geothermal resource maps for the U.S. Department of Energy (DOE). They were produced for the DOE GeoPowering the West Activity. The geothermal maps consist of the 13 western states were prepared for the general public to be used as an educational tool, promote the use of geothermal resources, show general trends and geothermal occurrences in the western U.S., and provide other information of interest such as land use, direct-use applications, etc. The information for these maps were gathered from many different sources, but due to time and funding limitation they do not represent an exhaustive search for geothermal data for each state. The Geo-Heat Center contributed several databases that were used to produce the maps. A brief description of the information included in the maps and how they were produced will be presented.

As part of BOREAS, the RSS-15 team conducted an investigation using SIR-C , X-SAR and Landsat TM data for estimating total above-ground dry biomass for the SSA and NSA modeling grids and component biomass for the SSA. Relationships of backscatter to total biomass and total biomass to foliage, branch, and bole biomass were used to estimate biomass density across the landscape. The procedure involved image classification with SAR and Landsat TM data and development of simple mapping techniques using combinations of SAR channels. For the SSA, the SIR-C data used were acquired on 06-Oct-1994, and the Landsat TM data used were acquired on September 2, 1995. The maps of the NSA were developed from SIR-C data acquired on 13-Apr-1994.

Property ID, name(s), document type, and description: SP0276; Blue Bell; map: Metsker's Atlas of Shoshone County.

This publication consists of the online version of a CD-ROM publication, U.S. Geological Survey Digital Data Series DDS-43. The data for this publication total 175 MB on the CD-ROM and 167 MB for this online version. This online version does not include the Acrobat Search index files. It also has a link rather than files for the Adobe Acrobat Reader installer mentioned below.

The Sierra Nevada Ecosystem Project was requested by Congress in the Conference Report for Interior and Related Agencies 1993 Appropriation Act (H.R. 5503), which authorized funds for a "scientific review of the remaining old growth in the national forests of the Sierra Nevada in California, and for a study of the entire Sierra Nevada ecosystem by an independent panel of scientists, with expertise in diverse areas related to this issue."

This publication is a digital version of the set of reports titled Sierra Nevada Ecosystem Project, Final Report to Congress published in paper form by the Centers for Water and Wildland Resources of the University of California, Davis. The reports consist of Wildland Resources Center Report No. 39 (Summary), No. 36 (Vol. I - Assessment summaries and management strategies), No. 37 (Vol. II - Assessments and scientific basis for management options), No. 38 (Vol. III - Assessments, commissioned reports, and background information), and No. 40 (Addendum). Vol. IV is a computer-based catalogue of all public databases, maps, and other digitally stored information used in the project. Vol. IV materials are listed under the SNEP name and available on the Internet from the Alexandria Project at the University of California at Santa Barbara and the California Environmental Resource Evaluation System (CERES) project of the Resources Agency of the state of California (see links below).

[Summary provided by the USGS.]

Control Point Download Link

Survey and Plat Line Download Link

Subdivision Download Link

Lot and Block Download Link

Record of Survey Download Link

The surveys and plats feature layer includes information related to the following topics.Control Point - The control point dataset represents corner points that have been observed by IDL staff or a licensed surveyor. Corners are points on the surface of the earth, determined by the surveying process, which defines an extremity on a boundary of the public lands. Points are represented by a type to determine the source of the corner. Control points have been gathered from various sources. These points are used to adjust the Parcel Fabric. This allows for a more accurate GIS representation of ground conditions.Survey and Plat Line - A record of survey is a detailed map that documents and identifies the physical land boundaries or property lines for a specific parcel of land. This feature class represents the parcel lines documented in a record of survey. These records of surveys can include subdivision plats and surveys performed by federal entities. The metes and bounds information is stored as attribute values.Subdivision - "Subdivision" means the division of a lot, tract, or parcel of land into two or more lots, plats, sites, or other divisions of land for the purpose, whether immediate or future, of sale or of building development. It includes resubdivision and, when appropriate to the context, relates to the process of subdividing or to the land or territory subdivided.Lots and Blocks - A lot is an individual piece of land which is intended to be conveyed in its entirety to a buyer. A block is generally a group of contiguous lots bounded by streets, such as a city block.Record of Surveys - A record of survey is a detailed map that documents and identifies the physical land boundaries or property lines for a specific parcel of land. This feature class represents the parcels documented in a record of survey. These records of surveys do not include subdivision plats, lots, or blocks.State Surface Ownership - This feature class contains the surface ownership for endowment lands managed by the Idaho Department of Lands. There is also data for other state agencies, but this data is not complete.PLSS Township - Townships are normally a square approximately six miles on a side with cardinal boundaries conforming to meridians and parallels, containing 36 sections of one square mile each.PLSS Section - The first set of divisions for a PLSS Township. Typically 640 acres or 1 square mile.PLSS Subsection - Is a quarter, quarter-quarter, sixteenth, or government lot division of the PLSS.