This spatial data contains Surface Management Agency (SMA, also sometimes called Land Status) information for Idaho from the Idaho Bureau of Land Management (BLM). For federal government lands, this data displays the managing agency of the surface of the land, which does not mean the agency "owns" the land. SMA is sometimes referred to as "ownership", although this term is inaccurate when describing public lands. This Surface Management Agency data should not be used to depict boundaries (for example National Forest, National Park, National Wildlife Refuge, or Indian Reservation boundaries among others). Attribute information for the federal and private lands are from the BLM Master Title Plats (MTPs), the BLM case files, the BLM Legacy Rehost 2000 (LR2000) database, and corresponding federal Orders and official documents. Please note that because these official sources are strictly used, OTHER NON-BLM FEDERAL AGENCY LANDS MAY NOT BE ATTRIBUTED CORRECTLY unless the proper documents have been filed with the BLM and the land actions have been noted on the MTPs and in LR2000. Starting in the spring of 2011 a field called AGNCY_NAME is present in the data. The AGNCY_NAME field is intended to indicate the managing agency for polygons coded as OTHER in the MGMT_AGNCY field. The AGNCY_NAME field will not be used for the 100K Map Series published by the BLM for use by the public as all agencies in this field are not included in H-1553 Publication Standards Manual Handbook and, therefore, have no BLM Cartographic Standard. Except for polygons coded as OTHER in the MGMT_AGNCY field, all managing agency information in the AGNCY_NAME field should be the same as that of the MGMT_AGNCY field. The only intended difference between the AGNCY_NAME field and the MGMT_AGNCY field is where the MGMT_AGNCY is OTHER. In this case, the AGNCY_NAME will contain an abbreviation for an agency that is not represented in the H-1553 Publication Standards Manual Handbook. Examples of the agencies there are BIA (Bureau of Indian Affairs), USGS (United States Geological Survey), and FAA (Federal Aviation Administration). Attribute information for the State lands is received primarily through cooperation with the Idaho Department of Lands. This information might not reflect all State agency lands completely. A detailed analysis of State owned lands has not been done since June 2011; therefore, recent changes in ownership of State lands may not be reflected. Inclusion of State land information into this dataset is supplemental and should not be viewed as the authoritative source of State lands; please contact State agencies for questions about State lands. This data does not depict land management arrangements between government agencies such as Memorandums of Understanding or other similar agreements. When this data was originally generated in the early 2000's, the primary source of the geometry was the BLM Geographic Coordinate Database (GCDB), if it was available. In areas where GCDB was/is unavailable, the spatial features are taken from a variety of sources including the BLM Idaho Resource Base Data collection, BLM Idaho Master Title Plat AutoCad files, US Geological Survey Digital Line Graphs (DLGs), and US Forest Service Cartographic Feature Files (CFFs), among others (see Process Steps). It should be stressed that the geometry of a feature may not be GCDB-based in the first place, the geometry may shift away from GCDB due to a variety of reasons (topology procedures, automated software processes such as projections, etc.), and the GCDB-based features are not necessarily currently being edited to match improved GCDB. Therefore this data should NOT be considered actual GCDB data. For the latest Idaho GCDB spatial data, please contact the BLM Idaho State Office Cadastral Department at 208-373-4000. The BLM in Idaho creates and maintains this spatial data. This dataset is derived by dissolving based on the "MGMT_AGNCY" field from the master SMA GIS dataset (which is edited often) kept by the BLM Idaho State Office. Please get a fresh copy of this data a couple times a year as the SMA data is continually changing. Official actions that affect the managing agency happen often and changes to correct errors are always being made. Nevada SMA data was acquired from the BLM Nevada web site and clipped to the area that is managed by Idaho BLM Boise District. The data steward approved this dataset in October 2023. For more information contact us at blm_id_stateoffice@blm.gov.

DRAFT DESCRIPTIONState-Managed/Owned Lands - State of Idaho Fish and Game, Parks and Recreation, Endowment, and Other State Agency Lands Private Forested Lands- Forested lands were derived with the assistance of the U.S. Forest Service (USFS) Geospatial Technology and Applications Center (GTAC). GTAC builds and maintains tree canopy cover (TCC) datasets that cover all lands including federal, state, and private lands for the conterminous U.S., coastal Alaska, Puerto Rico, and the U.S. Virgin Islands. The TCC datasets are Landsat and Sentinel-2 based with a spatial resolution of 30 meters. These data contain percent tree canopy estimates, as a continuous variable, for each pixel across all land covers and types. The 2016 TCC “Cartographic” (released in 2019) was recommended by GTAC as the best available dataset at the time of analysis. More information on the USFS Tree Canopy Cover Datasets can be found here. In TCC “Cartographic”, masks are applied to remove modeled TCC in water bodies, non-tree croplands, and in areas where the standard error is much higher than the TCC value itself (i.e., pixels for which confidence in the pixel being tree-covered is very low are filtered out).After review, some additional exclusions were made to the data to better represent forested lands, according to the IDL definition: • Areas where TCC was less than 20% • Areas dominated by Hardwoods or Pinyon/Juniper Woodlands • Riparian areas• Parcels Less than one acre • Forested areas within City Limits

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.

Donation sent to the University of Idaho Library Government Documents Librarian a CD containing General Land Office maps on it. A readme file on the CD contains this information:"I obtained the attached GLO maps from Mitch Price at River Design Group who obtained them from another source. These maps apparently do not have a date, I assume it was stripped off when they were rectified. These maps show the Great Northern Rail line, it arrived in Bonners Ferry in 1892. The Spokane International Railroad (Union Pacific purchased this line) built a bridge across the Kootenai R. in 1906." "I am a bit puzzled on the map dates, the Kootenai River Master Plan indicated these maps are 1862-65 but they also show the Great Northern Rail line but not the Spokane International Railroad which seems to place them somewhere between 1892 - 1906 unless perhaps they were revised at a later date."Gary Barton USGS Tacoma, WA 253-552-1613 officegbarton@usgs.gov

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 represents a GIS Version of the Public Land Survey System (PLSS) including both rectangular and non-rectangular surveys. These are the cadastral reference features that provide the basis and framework for mapping. This feature data set contains PLSS and Other Survey System data. The other survey systems include subdivision plats and those types of survey reference systems. This PLSS dataset was compiled by IDWR in 2016/2017 showing Public Land Survey System (PLSS) data from a variety of sources, including BLM's CadNSDI, IDL's edits to the CadNSDI alongside alignments to data from a variety of counties. Source and Edit information are provided in the QQ layer.

The downloadable ZIP file contains a georeferenced TIF. The National Land Cover Database 2001 land cover layer was produced through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium. The MRLC Consortium is a partnership of federal agencies (www.mrlc.gov), consisting of the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration (NOAA), the U.S. Environmental Protection Agency (EPA), the U.S. Department of Agriculture (USDA), the U.S. Forest Service (USFS), the National Park Service (NPS), the U.S. Fish and Wildlife Service (FWS), the Bureau of Land Management (BLM) and the USDA Natural Resources Conservation Service (NRCS). One of the primary goals of the project is to generate a current, consistent, seamless, and accurate National Land cover Database (NLCD) circa 2001 for the United States at medium spatial resolution. This landcover map and all documents pertaining to it are considered "provisional" until a formal accuracy assessment can be conducted. For a detailed definition and discussion on MRLC and the NLCD 2001 products, refer to Homer et al. (2004) and http://www.mrlc.gov/mrlc2k.asp. The NLCD 2001 is created by partitioning the U.S. into mapping zones. A total of 66 mapping zones were delineated within the conterminous U.S. based on ecoregion and geographical characteristics, edge matching features and the size requirement of Landsat mosaics. The land cover layer for Idaho is comprised of mapping zones 08, 09, 10, 16, 17, 18, and 21 which encompass whole or portions of several states, including the state of Idaho. Questions can be directed to the NLCD 2001 land cover mapping team at the USGS/EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov.These data were contributed to INSIDE Idaho at the University of Idaho Library in 2007.

An area defined by the Public Lands Survey System grid that is referenced by its tier and range numbers, and is normally a rectangle approximately 6 miles on a side with boundaries conforming to meridians and parallels. Metadata

IDPR's Idaho Trails App Dataset, Web Map, and Web App have been extensively retooled for 2024.

Feature Service

The new App is served by this Hosted Feature Layer dataset which can be updated more frequently and on-the-fly-- changes will appear on the App and through the feature Service in real time. The newest web presentation technology under AGOL, Experience Builder, served by this dataset, will make possible several extended features to come in future updates to the App. This packaged release replaces the App created with predecessor technology Web App Builder. Web App Builder technology is scheduled to be phased out by Esri by the end of 2024.

Under the hood

Linear routes, closure routes and areas, and boundary area data are ported through a Web Map from the underlying Hosted Feature Service (HFS). In addition to view settings for attributes popups set in the Web Map, additional visibility option not available directly included in the HFS data or controllable in the Web Map will be further processed in the Experience App presentation.

Underlaying Classes in the Dataset:

One single linear class "Idaho Routes" contains all road and trail features (60,000+ route segments):

Routes characterized as recreational in nature include "High Clearance" (previously "Jeep" treated as a road type, now as a full-width "trail" type): High-clearance, Special Vehicle Designation (mostly OHVs >50"), OHVs 50" and under, and single-track (each width class separated by seasonal and not); E-Bike; and, non-motorized and non-mechanized. Routes where vehicles either must be highway-legal (OHVs prohibited; typically paved roads), or routes requiring Restricted plate for legal OHV travel (mostly JURISDICTION = County); combined from previously-separate Layers: Highway-legal, Automobile, Other Roads (each with subcategories for seasonal access restrictions).

(Note: Different route types are no longer kept in separate layers as with the legacy Map Service dataset. Route symbology, and selectable visibility will be filtered based on the value in the SYMBOL attribute from the above linear class within the Web Map and Experience-based App. If dynamically consuming the Feature Service, provisions will need to be made to filter to select visibility by road and trail types based on the value in the SYMBOL field.)

"Points of Interest" (point type data) is comprised of a layer previously titled "Trailheads" and now includes the flexibility of other types of lat/lon point-based information such as links to external maps and "attractions" information such as site seeing destinations not previously included in IDPR's map presentation.
"Emergency Route Closures" contains linear route Closures (overlays any route where a Closure Order applies in web map) "Area Restrictions" is added for areas such as defined by human exclusion Orders (polygon; usually planned annual human or vehicle exclusion areas, but can be emergency closure as well) Multiple "Boundary" polygon classes contain boundary outlines and attributes information for IDPR Regions (3), Counties (44), Wildernesses (42), National Forests and Ranger Districts (39), and BLM District and Field Offices (12), and BLM land units (700+). These separate classes reduce the data footprint of the Routes data and are joined in App popups by geographic Intersection logic.

Bonus Material:

Added to the App are several optional, dynamic layers via publicly-available REST services selectable for visibility:

Idaho Department of Lands- Lands Available for Recreational Use (visible by-default) Idaho Department of Fish & Game Hunting Units boundaries and numbers BLM Surface Management Agency layer for all local, state, and federal agencies which manage public lands (accessible, and not)
US Forest Service Motor Vehicle Use Map, National Dataset (mirrors local MVUM paper and GeoPDF maps, where data available, lags local data when changes are made) National Park Service (NPS) Parks and Monuments areas and boundaries NOAA Snow Depth Other REST Services to be added based on utility in researching recreational access

This dataset is published for the use of the individuals who fund this Program. Organizations wishing to consume this Feature Service into their own application should inquire to IDPR to obtain a use agreement and schema information to aid in development.AGOL Experience App here: https://experience.arcgis.com/experience/97a42a2a73c944ba918042faf518c689

Inquire to maps@idpr.idaho.gov

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.

This layer is for the statewide standardized parcels polygons. This follows the standards that were approved by the Idaho Geospatial Council Executive Committee (IGC-EC). The data comes directly from the counties within Idaho that have a data sharing agreement with the Office of Information Technology Services (ITS). Each county within Idaho who chose to participate in the statewide effort are the owners of the data. Parcel data in constantly updated in the county office, this feature layer will be updated when ITS receives updates from the counties.A statewide Parcel Framework is a critical source of information for resource land management, community and economic development needs, infrastructure maintenance, research and analysis, homeland security, business development, public safety, and more. Many private sector and local, state, and federal government agencies have business needs for Parcel data.Standard:S4232 - Idaho Parcel Data Exchange Standard

These data sets contain simple, landscape-scale greater sage-grouse habitat types that can be used for conservation and restoration planning purposes. The habitat types include: (1) key sage-grouse habitat areas and (2) three habitat restoration types: (a) R1 - perennial native and non-native grasslands with high restoration potential; (b) R2 - annual grass dominated areas (either shrubland or grassland) with low restoration potential and (c) R3 - conifer encroachment areas with high restoration potential. The initial data set delineates these habitat types up to the year 2000 (2000 Northern Sage-Grouse Habitat Planning Map). This baseline map was developed using field experts with Idaho BLM, Idaho Department of Fish and Game (IDFG) and other local experts. Existing vegetation, fire history and sage grouse population data were used to delineate the habitat types. A subsequent data set (2002 Northern Sage-Grouse Planning Map) was also developed for the year 2002 and reflects changes in these habitats as a result of fires, emergency fire rehabilitation (EFR) and restoration efforts during 2000 and 2001. Fire polygon and project descriptions for EFRs and restoration projects were used to map habitats for the 2002 map (please see process step for detailed information on the original capture of the sage-grouse habitat data). A new data set was generated in 2004, reflecting fire polygons from 2002 and 2003. For the 2005 update BLM field offices submitted edits based on new information from monitoring and inventory data, fire occurrence and treatments from the 2005 season. IDFG digitized some polygons (particularly in the West Central SGPA) from NAIP imagery to increase the data accuracy. For the 2006 update BLM field offices submitted edits based on new information from monitoring and inventory data, fire occurrence and treatments from the 2006 season. IDFG has not submitted edits. USFS supplied fire polygons for updating the habitat that were already provided by BLM-IF so no further edits were made. For the 2007 edits, each BLM District submitted a separate habitat dataset that included their edits. All the districts edited the same version of habitat that they copied from the Idaho State Office server. USFS also submitted edits based on 2007 fires, but none of these edits were new compared to what the BLM Districts submitted. For 2008 edits, each BLM District updated their portion of the habitat in SDE. USFS and IDFG contributed edits via BLM Field Office staff. For the 2009 edits, a very similar process was performed, where edits were done on SDE by the District Offices. Each office consulted with the USFS and IDFG. A new data set will be developed annually to update the planning map and chart landscape-level changes in sage-grouse habitat over time. Credits: Bureau of Land Management (BLM), Idaho State Office, Idaho Department of Fish and Game, U.S. Forest Service, U.S. Department of Energy Idaho National Laboratory, Idaho Sage-grouse Local Working Groups, and other cooperators/contributors For more information contact us at blm_id_stateoffice@blm.gov.

An area defined by the Public Lands Survey System Grid. Normally, 36 sections make up a township. Metadata

This layer is for the statewide standardized parcels polygons. This follows the standards that were approved by the Idaho Geospatial Council Executive Committee (IGC-EC). The data comes directly from the counties within Idaho that have a data sharing agreement with the Office of Information Technology Services (ITS). Each county within Idaho who chose to participate in the statewide effort are the owners of the data. Parcel data in constantly updated in the county office, this feature layer will be updated when ITS receives updates from the counties.A statewide Parcel Framework is a critical source of information for resource land management, community and economic development needs, infrastructure maintenance, research and analysis, homeland security, business development, public safety, and more. Many private sector and local, state, and federal government agencies have business needs for Parcel data.Standard:S4232 - Idaho Parcel Data Exchange Standard

Vector polygon map data of city limits from cities across the State of Idaho containing 201 features.

City limits GIS (Geographic Information System) data provides valuable information about the boundaries of a city, which is crucial for various planning and decision-making processes. Urban planners and government officials use this data to understand the extent of their jurisdiction and to make informed decisions regarding zoning, land use, and infrastructure development within the city limits.

By overlaying city limits GIS data with other layers such as population density, land parcels, and environmental features, planners can analyze spatial patterns and identify areas for growth, conservation, or redevelopment. This data also aids in emergency management by defining the areas of responsibility for different emergency services, helping to streamline response efforts during crises..

This city limits data is 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 data set contains simple, landscape-scale greater sage-grouse habitat types for Idaho and constitutes a current approximation of sage-grouse habitat in the state. The data can be used for general conservation and restoration planning purposes, but additional data or field verification are needed for applications at finer scales. The habitat types include: (1) key sage-grouse habitat areas and (2) four habitat restoration types: (a) R1 - perennial native and non-native grasslands with high restoration potential; (b) R2 - annual grass dominated areas (either shrubland or grassland) with low restoration potential; (c) R3 - conifer encroachment areas with high restoration potential and (d) RB - areas that have recently burned and the type of habitat that is coming back and its restoration potential has not yet been determined. A new data set will be developed annually to update the planning map and chart landscape-level changes in sage-grouse habitat over time. This data covers all of Idaho and a small area in Nevada that is managed by the Idaho office. Intended scale of use is 1:100,000. This is a dissolved version of a working version kept by the Bureau of Land Management (BLM). It was dissolved on the Class, Comment, DataSource and GIS_acres fields to make it easier for the public to use. Credits: Bureau of Land Management (BLM), Idaho State Office, Idaho Department of Fish and Game, U.S. Forest Service, U.S. Department of Energy Idaho National Laboratory, Idaho Sage-grouse Local Working Groups, and other cooperators/contributors For more information contact us at blm_id_stateoffice@blm.gov.

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. 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.

The downloadable ZIP file contains an Esri grid. These data were created as part of a graduate thesis at the University of Idaho to 1.) demonstrate that a combination of geographic information systems (GIS) and multivariate statistical procedures can be used to map climate using data from the Parameter-elevation Regressions on Independent Slopes Model (PRISM), and to 2). delineate agroclimate zones for the purpose of applying successful dryland agricultural research management practices throughout areas of relative climatic uniformity. No responsibility is assumed by Idaho State Climate Services in the use of these data.Multivariate statistical analysis and geographic information systems were used to delineate homogeneous agroclimate zones for Idaho for the purpose of applying successful dryland agricultural research practices and management decisions throughout these areas of relative climatic uniformity. Data used to produce the classification are from the Parameter-elevation Regressions on Independent Slopes Model (PRISM), developed at Oregon State University. PRISM has produced gridded estimates of mean monthly and annual climatic parameters from point data and a digital elevation model (DEM). Principal components analysis was performed on fifty-five variables including various temperature and precipitation parameters, the number of growing-degree days, the mean annual number of freeze-free days, the mean annual day of first freeze in the fall, and the mean annual day of last freeze in the spring. Cluster analysis was used to identify sixteen agroclimate zones each having similar climatic conditions regardless of its spatial location. As a result, successful dryland agricultural practices and management decisions that are based on new technologies and developed for one part of the state may potentially be applied to other parts of the state that fall within the same agroclimate zone.These data were created as part of this thesis: https://alliance-primo.hosted.exlibrisgroup.com/permalink/f/m1uotc/CP7117420067000145136" x 48" PDF map: https://insideidaho.org/data/ago/ics/agroclimate-zones.pdfThese data were contributed to INSIDE Idaho at the University of Idaho Library in 1999.

This georectified digital map portrays geologic formations and mineral lands near the Northern Pacific Railroad in Northern Idaho and Washington Territories in 1882. The original paper map was scanned, georeferenced, and rectified to broaden access and to facilitate use in GIS software.

Valley County Planning and Zoning map application includes visuals for floodplains, administrative boundaries, public lands, parcels and more. The application was originally created for Planning and Zoning administration to communicate more easily with the public and community through utilization of an interactive map. The application includes the ability to draw and mark up the map for personalized reference and pdf map creation. All layers included in the map have been requested specifically by the Planning and Zoning Department and include:PLANNING AND TAX PARCEL INFOMunicipal Boundaries (Received an updated McCall boundary from McCall GIS, so use the taxing districts for Cascade and Donnelly but append the McCall boundary for McCall)Parcel BoundariesExempt Parcel BoundariesImproved Parcel BoundariesSubdivisionsAddress PointsCity Impact AreasAssessor's Plats (PLSS Search .mxd)Points of InterestWATER AND IRRIGATIONFloodplains/Firm PanelsBase Flood ElevationWells (Idaho Department of Water Resources Feature Service)Irrigation Districts (Idaho Department of Water Resources Feature Service)Sewer and Water Districts (Idaho State Tax Commission Feature Service)Water Districts (Idaho State Tax Commission Feature Service)WetlandsTAXING DISTRICTS AND EMERGENCY RESPONSEHerd DistrictsCounty Boundaries (Idaho State Tax Commission Feature Service)Fire Districts (will not stream ISTC feature service because we want sub-districts in our maps)Emergency Response Service PointsPUBLIC LANDS*Did not use the BLM Surface Management layer because was not allowed to configure and change the symbology or popups to customize for our County, also do not have accurate US Bureau or Rec data in that layer.PLSS Grid System (ESRI Federal User Community Feature Service)Bureau of Land ManagementBureau of ReclamationIdaho Department of LandsFrank Church Wilderness (US Forest Service Feature Service)US Forest Service (US Forest Service Feature Service)USFS MVUM Roads (US Forest Service Feature Service)USFS Non-Motorized Trails (US Forest Service Feature Service)