62 datasets found
  1. a

    Oregon Explorer

    • oregon-explorer-osugisci.hub.arcgis.com
    Updated Nov 8, 2019
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    Oregon State University GISci (2019). Oregon Explorer [Dataset]. https://oregon-explorer-osugisci.hub.arcgis.com/datasets/oregon-explorer
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    Dataset updated
    Nov 8, 2019
    Dataset authored and provided by
    Oregon State University GISci
    Area covered
    Description

    Oregon Explorer Hub Site: A collaboration between Oregon State University Libraries and Press and the Institute for Natural Resources.

  2. o

    National Flood Hazard Layer 100 Year Floodplain - Oregon (2024)

    • hub.oregonexplorer.info
    Updated May 23, 2024
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    Oregon State University GISci (2024). National Flood Hazard Layer 100 Year Floodplain - Oregon (2024) [Dataset]. https://hub.oregonexplorer.info/maps/OSUGISci::national-flood-hazard-layer-100-year-floodplain-oregon-2024
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    Dataset updated
    May 23, 2024
    Dataset authored and provided by
    Oregon State University GISci
    Area covered
    Description
  3. a

    Oregon Mask

    • owdp-geo.hub.arcgis.com
    • oregon-explorer-osugisci.hub.arcgis.com
    Updated Nov 21, 2024
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    Oregon ArcGIS Online (2024). Oregon Mask [Dataset]. https://owdp-geo.hub.arcgis.com/items/57dda0a430224dd1a01da9740865827e
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    Dataset updated
    Nov 21, 2024
    Dataset authored and provided by
    Oregon ArcGIS Online
    Area covered
    Oregon
    Description

    U.S. States and Canada Provinces represents the states of the United States and the provinces of Canada.

    Metadata https://oe.oregonexplorer.info/metadata/bnd_us_states.htm

    Download https://oregonexplorer.info/ExternalContent/SpatialDataForDownload/bnd_us_states.zip

  4. o

    Oregon Social Vulnerability Index: Minority Status & Language Theme (2022)

    • hub.oregonexplorer.info
    • oregon-explorer-osugisci.hub.arcgis.com
    Updated Apr 25, 2024
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    Oregon State University GISci (2024). Oregon Social Vulnerability Index: Minority Status & Language Theme (2022) [Dataset]. https://hub.oregonexplorer.info/maps/OSUGISci::oregon-social-vulnerability-index-minority-status-language-theme-2022
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    Dataset updated
    Apr 25, 2024
    Dataset authored and provided by
    Oregon State University GISci
    Area covered
    Description

    Social vulnerability refers to the social, economic, and cultural factors that influence access to resources and influence the ability of individuals, households, or communities to prevent, respond to, and recover from events such as wildfire (Coughlan et al., 2019; Cutter et al., 2003). Some examples of social, economic, or cultural factors that may influence social vulnerability to wildfire include income, language proficiency, cultural and psychological relationships to fire and land management, and level of trust in government (Coughlan et al., 2019). The SVI map layer developed for SB 762 identifies areas in the state that may be more vulnerable to the impacts of wildfire following the methodologies of the Centers for Disease Control (CDC) and Agency for Toxic Substances and Disease Registry (ATSDR) Social Vulnerability Index (SVI) (Centers for Disease Control Social Vulnerability Index 2018 Documentation, 2022) which was initially developed by Flanagan et al. (2011) for disaster risk management. NOTE: The SVI dataset within the Oregon Explorer tool underwent an update on February 5, 2024 to rectify inaccuracies in the original data. The initial SVI layer computations omitted data pertaining to the indicator "adults over age 65." We strongly recommend individuals who downloaded SVI data prior to this update revise their records accordingly.

  5. d

    Oregon Public Land Survey

    • catalog.data.gov
    • data.oregon.gov
    • +4more
    Updated Jan 31, 2025
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    State of Oregon (2025). Oregon Public Land Survey [Dataset]. https://catalog.data.gov/dataset/oregon-public-land-survey
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    Dataset updated
    Jan 31, 2025
    Dataset provided by
    State of Oregon
    Area covered
    Oregon
    Description

    This data layer is an element of the Oregon GIS Framework. This theme contains PLS lines for the State of Oregon. This PLS theme includes donation claims lands. Attributes in this theme show Township Range and Section values.

  6. o

    Oregon Building Footprints (2021)

    • hub.oregonexplorer.info
    • oregon-explorer-osugisci.hub.arcgis.com
    Updated Jan 1, 2021
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    Oregon State University GISci (2021). Oregon Building Footprints (2021) [Dataset]. https://hub.oregonexplorer.info/datasets/50efe7f229cc43a5854ce9d1754305da
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    Dataset updated
    Jan 1, 2021
    Dataset authored and provided by
    Oregon State University GISci
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    This feature class GIS dataset contains building footprints depicting building shape and location in the state of Oregon. All contributing datasets were compiled into the stateside dataset. Static datasets or infrequently maintained datasets were reviewed for quality. New building footprint data were reviewed and digitized from the Oregon Statewide Imagery Program 2017 and 2018.

  7. a

    Oregon Basins: 6 Digit Hydrologic Units (2024)

    • oregon-explorer-osugisci.hub.arcgis.com
    • hub.oregonexplorer.info
    Updated Dec 16, 2015
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    Oregon State University GISci (2015). Oregon Basins: 6 Digit Hydrologic Units (2024) [Dataset]. https://oregon-explorer-osugisci.hub.arcgis.com/datasets/oregon-basins-6-digit-hydrologic-units-2024
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    Dataset updated
    Dec 16, 2015
    Dataset authored and provided by
    Oregon State University GISci
    Area covered
    Description

    The Watershed Boundary Dataset (WBD) is a comprehensive aggregated collection of hydrologic unit data consistent with the national criteria for delineation and resolution. It defines the areal extent of surface water drainage to a point except in coastal or lake front areas where there could be multiple outlets as stated by the "Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD)" “Standard” (http://pubs.usgs.gov/tm/11/a3/). Watershed boundaries are determined solely upon science-based hydrologic principles, not favoring any administrative boundaries or special projects, nor particular program or agency. This dataset represents the hydrologic unit boundaries to the 12-digit (6th level) for the entire United States. Some areas may also include additional subdivisions representing the 14- and 16-digit hydrologic unit (HU). At a minimum, the HUs are delineated at 1:24,000-scale in the conterminous United States, 1:25,000-scale in Hawaii, Pacific basin and the Caribbean, and 1:63,360-scale in Alaska, meeting the National Map Accuracy Standards (NMAS). Higher resolution boundaries are being developed where partners and data exist and will be incorporated back into the WBD. WBD data are delivered as a dataset of polygons and corresponding lines that define the boundary of the polygon. WBD polygon attributes include hydrologic unit codes (HUC), size (in the form of acres and square kilometers), name, downstream hydrologic unit code, type of watershed, non-contributing areas, and flow modifications. The HUC describes where the unit is in the country and the level of the unit. WBD line attributes contain the highest level of hydrologic unit for each boundary, line source information and flow modifications.

  8. o

    Oregon Social Vulnerability Index: Household Composition & Disability Theme...

    • hub.oregonexplorer.info
    Updated Apr 25, 2024
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    Oregon State University GISci (2024). Oregon Social Vulnerability Index: Household Composition & Disability Theme (2022) [Dataset]. https://hub.oregonexplorer.info/datasets/9a08eea715544a25a420dc6817823077
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    Dataset updated
    Apr 25, 2024
    Dataset authored and provided by
    Oregon State University GISci
    Area covered
    Description

    Social vulnerability refers to the social, economic, and cultural factors that influence access to resources and influence the ability of individuals, households, or communities to prevent, respond to, and recover from events such as wildfire (Coughlan et al., 2019; Cutter et al., 2003). Some examples of social, economic, or cultural factors that may influence social vulnerability to wildfire include income, language proficiency, cultural and psychological relationships to fire and land management, and level of trust in government (Coughlan et al., 2019). The SVI map layer developed for SB 762 identifies areas in the state that may be more vulnerable to the impacts of wildfire following the methodologies of the Centers for Disease Control (CDC) and Agency for Toxic Substances and Disease Registry (ATSDR) Social Vulnerability Index (SVI) (Centers for Disease Control Social Vulnerability Index 2018 Documentation, 2022) which was initially developed by Flanagan et al. (2011) for disaster risk management. NOTE: The SVI dataset within the Oregon Explorer tool underwent an update on February 5, 2024 to rectify inaccuracies in the original data. The initial SVI layer computations omitted data pertaining to the indicator "adults over age 65." We strongly recommend individuals who downloaded SVI data prior to this update revise their records accordingly.

  9. d

    Oregon Wildfire Risk Explorer

    • catalog.data.gov
    • data.oregon.gov
    Updated May 17, 2025
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    State of Oregon (2025). Oregon Wildfire Risk Explorer [Dataset]. https://catalog.data.gov/dataset/oregon-wildfire-risk-explorer
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    Dataset updated
    May 17, 2025
    Dataset provided by
    State of Oregon
    Area covered
    Oregon
    Description

    {{description}}

  10. g

    Oregon Wildland Urban Interface | gimi9.com

    • gimi9.com
    Updated Feb 7, 2025
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    (2025). Oregon Wildland Urban Interface | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_oregon-wildland-urban-interface
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    Dataset updated
    Feb 7, 2025
    Area covered
    Oregon
    Description

    ORS 477.490 requires Oregon Sate University (OSU) and the Oregon Department of Forestry (ODF) to develop a statewide wildland-urban interface (WUI) map that will be used in conjunction with the statewide wildfire hazard map (ORS 477.490) by the Oregon State Fire Marshal to determine on which properties defensible space standards apply (ORS 476.392) and by the Building Codes Division to determine to which structures home hardening building codes apply (ORS 455.612).Rules directing development of the WUI are listed in OAR-629-044-1011 and 629-044-1016. A comprehensive description of datasets and geospatial processing is available at https://hazardmap.forestry.oregonstate.edu/understand-map. The official statewide WUI map is available on the Oregon Wildfire Risk Explorer at https://tools.oregonexplorer.info/viewer/wildfire.Following is an overview of the data and methods used develop the statewide WUI map.Wildland-Urban InterfaceCreating a statewide map of the WUI involved two general steps. First, we determined which parts of Oregon met the minimum building density requirements to be classified as WUI. Second, for those areas that met the minimum building density threshold, we evaluated the amount and proximity of wildland or vegetative fuels. Following is a summary of geospatial tasks used to create the WUI.Develop a potential WUI map of all areas that meet the minimum density of structures and other human development - According to OAR 629-044-1011, the boundary of Oregon’s WUI is defined in part as areas with a minimum building density of one building per 40 acres, the same threshold defined in the federal register (Executive Order 13728, 2016), and any area within an Urban Growth Boundary (UGB) regardless of the building density. Step One characterizes all the locations in Oregon that could be considered for inclusion in the WUI on building density and UGB extent alone. The result of Step One was a map of potential WUI which was then further refined into final WUI map based on fuels density and proximity in Step Two.

  11. o

    Oregon Wildland Urban Interface

    • geohub.oregon.gov
    • data.oregon.gov
    • +2more
    Updated Feb 5, 2025
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    State of Oregon (2025). Oregon Wildland Urban Interface [Dataset]. https://geohub.oregon.gov/datasets/oregon-geo::oregon-wildland-urban-interface
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    Dataset updated
    Feb 5, 2025
    Dataset authored and provided by
    State of Oregon
    Area covered
    Description

    OverviewORS 477.490 requires Oregon Sate University (OSU) and the Oregon Department of Forestry (ODF) to develop a statewide wildland-urban interface (WUI) map that will be used in conjunction with the statewide wildfire hazard map (ORS 477.490) by the Oregon State Fire Marshal to determine on which properties defensible space standards apply (ORS 476.392) and by the Building Codes Division to determine to which structures home hardening building codes apply (ORS 455.612).Rules directing development of the WUI are listed in OAR-629-044-1011 and 629-044-1016. A comprehensive description of datasets and geospatial processing is available at https://hazardmap.forestry.oregonstate.edu/understand-map. The official statewide WUI map is available on the Oregon Wildfire Risk Explorer at https://tools.oregonexplorer.info/viewer/wildfire.Following is an overview of the data and methods used develop the statewide WUI map.Wildland-Urban InterfaceCreating a statewide map of the WUI involved two general steps. First, we determined which parts of Oregon met the minimum building density requirements to be classified as WUI. Second, for those areas that met the minimum building density threshold, we evaluated the amount and proximity of wildland or vegetative fuels. Following is a summary of geospatial tasks used to create the WUI.Develop a potential WUI map of all areas that meet the minimum density of structures and other human development - According to OAR 629-044-1011, the boundary of Oregon’s WUI is defined in part as areas with a minimum building density of one building per 40 acres, the same threshold defined in the federal register (Executive Order 13728, 2016), and any area within an Urban Growth Boundary (UGB) regardless of the building density. Step One characterizes all the locations in Oregon that could be considered for inclusion in the WUI on building density and UGB extent alone. The result of Step One was a map of potential WUI which was then further refined into final WUI map based on fuels density and proximity in Step Two.Compile statewide tax lots.Map all eligible structures and other human development.Simplify structure dataset to no more than one structure per tax lotCalculate structure density and identify all areas with greater than one structure per 40 acresAdd urban growth boundaries to all the areas that meet the density requirements from the previous step.Classify WUI based on amount and proximity of fuel. The WUI is also defined by the density and proximity of wildland and vegetative fuels (“fuels”). By including density and proximity of fuels in the definition of the WUI, the urban core is excluded, and the focus is placed on those areas with sufficient building density and sufficient fuels to facilitate a WUI conflagration. Consistent with national standards, we further classified the WUI into three general classes to inform effective risk management strategies. The following describes how we refined the potential WUI output from step one into the final WUI map.Intermix WUI: Areas that met the minimum building density threshold in step one and which had at least 50% vegetative or wildland fuel cover were classified as Intermix WUIInterface WUI: Interface WUI includes areas that met the minimum building density threshold in step one, and which had less than 50% vegetative and/or wildland fuel cover but were within 1.5 miles of a large patch (≥ 2 sq. miles) of at least 75% vegetation and/or wildland fuelsOccluded WUI includes areas that met the minimum building density threshold in step one, and which had less than 50% vegetative and/or wildland fuel cover but were within 1.5 miles of a moderate patch (1 – 2 sq. miles) of at least 75% vegetation and/or wildland fuels.Detailed geospatial processing steps are described in the technical guide available at https://hazardmap.forestry.oregonstate.edu/understand-map

  12. o

    Recent Fire Perimeters (2000-2024)

    • hub.oregonexplorer.info
    Updated Feb 10, 2025
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    Oregon State University GISci (2025). Recent Fire Perimeters (2000-2024) [Dataset]. https://hub.oregonexplorer.info/maps/OSUGISci::recent-fire-perimeters-2000-2024
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    Dataset updated
    Feb 10, 2025
    Dataset authored and provided by
    Oregon State University GISci
    Area covered
    Description

    Fire perimeters 2000-2024. The national fire history perimeter data layer of conglomerated Agency Authoratative perimeters was developed in support of the WFDSS application and wildfire decision support. The layer encompasses the final fire perimeters datasets of the USDA Forest Service, US Department of Interior Bureau of Land Management, Bureau of Indian Affairs, Fish and Wildlife Service, and National Park Service, the Alaska Interagency Fire Center, and CalFire. Requirements for fire perimeter inclusion, such as minimum acreage requirements, are set by the contributing agencies.2000-2023 fire perimeters were sourced from “InterAgencyFirePerimeterHistory All Years View” and 2024 fire perimeters were sourced from “WFIGS Interagency Fire Perimeters”, both of which are hosted on NIFC. This layer has been clipped to contain all fires that partially or completely occurred in Oregon and restricted to fires with a discovery date on or after 1/1/2000 for use in the SageCon Landscape Planning Tool on Oregon Explorer. QA/QC was performed to eliminate duplicate polygons based on incident names, however, some duplicate records may exist in the dataset because some fires had multiple incident names. The attributes table has been condensed to Incident name, polygon source, fire year, and GIS acres for simplicity.

  13. g

    Oregon Wildfire Risk Explorer | gimi9.com

    • gimi9.com
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    Oregon Wildfire Risk Explorer | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_oregon-wildfire-risk-explorer/
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    Area covered
    Oregon
    Description

    🇺🇸 미국

  14. a

    Oregon City Limits (2022)

    • oregon-explorer-osugisci.hub.arcgis.com
    Updated Jan 1, 2022
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    Oregon State University GISci (2022). Oregon City Limits (2022) [Dataset]. https://oregon-explorer-osugisci.hub.arcgis.com/datasets/oregon-city-limits-2022
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    Dataset updated
    Jan 1, 2022
    Dataset authored and provided by
    Oregon State University GISci
    Area covered
    Description

    This data represents the State of Oregon city limit boundaries. Each city limit is defined as a continuous area within the statutory boundary of an incorporated city, which is the smallest subdivision of an annexed area. It is represented as spatial data (polygon with label point).

  15. Multibeam collection for EX0905: Multibeam data collected aboard NOAA Ship...

    • ncei.noaa.gov
    • catalog.data.gov
    Updated Nov 17, 2021
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    National Oceanic and Atmospheric Administration (NOAA) (2021). Multibeam collection for EX0905: Multibeam data collected aboard NOAA Ship OKEANOS EXPLORER (R337) from 17-Jun-09 to 27-Jun-09, Newport, Oregon to Astoria, Oregon [Dataset]. https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.ngdc.mgg.multibeam:EX0905_Multibeam
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    Dataset updated
    Nov 17, 2021
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    National Centers for Environmental Informationhttps://www.ncei.noaa.gov/
    Authors
    National Oceanic and Atmospheric Administration (NOAA)
    Time period covered
    Jun 17, 2009 - Jun 27, 2009
    Area covered
    Description

    This data set is part of a larger set of data called the Multibeam Bathymetry Database (MBBDB) where other similar data can be found

  16. Multibeam collection for EX2301: Multibeam data collected aboard NOAA Ship...

    • catalog.data.gov
    • ncei.noaa.gov
    Updated Oct 18, 2024
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    NOAA National Centers for Environmental Information (Point of Contact) (2024). Multibeam collection for EX2301: Multibeam data collected aboard NOAA Ship OKEANOS EXPLORER (R337) from 13-Apr-23 to 27-Apr-23, Portland, Oregon to Seattle, Washington [Dataset]. https://catalog.data.gov/dataset/multibeam-collection-for-ex2301-multibeam-data-collected-aboard-noaa-ship-okeanos-explorer-r3371
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    Dataset updated
    Oct 18, 2024
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    National Centers for Environmental Informationhttps://www.ncei.noaa.gov/
    Area covered
    Washington, Seattle, Portland, Oregon
    Description

    This data set is part of a larger set of data called the Multibeam Bathymetry Database (MBBDB) where other similar data can be found

  17. o

    NAIP 2020 WM

    • geohub.oregon.gov
    • hub.arcgis.com
    Updated Jun 9, 2023
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    NAIP 2020 WM [Dataset]. https://geohub.oregon.gov/datasets/90c66f859576470b8c0c2a0e704d6cdf
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    Dataset updated
    Jun 9, 2023
    Dataset authored and provided by
    State of Oregon
    Area covered
    Description

    This data layer is an element of the Oregon GIS Framework. This digital, geographically referenced data set was developed for the Oregon GIS department to provide updated state wide imagery. Digital 4 band ortho imagery covering the state of Oregon was flown in 2020. The 4 Band imagery was rectified and cut into a DOQs. Using web services to stream imagery: https://imagery.oregonexplorer.info/arcgis/rest/services/NAIP_2020

  18. o

    Oregon Wetlands Database: Local Wetlands Inventory Probable Wetlands (2019)

    • hub.oregonexplorer.info
    Updated Mar 4, 2024
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    Oregon State University GISci (2024). Oregon Wetlands Database: Local Wetlands Inventory Probable Wetlands (2019) [Dataset]. https://hub.oregonexplorer.info/maps/OSUGISci::oregon-wetlands-database-local-wetlands-inventory-probable-wetlands-2019
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    Dataset updated
    Mar 4, 2024
    Dataset authored and provided by
    Oregon State University GISci
    Area covered
    Description

    Probable Wetlands as mapped in original Department of State Lands’ approved Local Wetlands Inventories. "Probable Wetland" or “PW” means an area noted during the LWI development that appeared to meet wetland criteria but was less than one half of an acre in size or was small and of undetermined size. Wetlands that were less than one half of an acre were mapped as polygons or as probable wetlands. Probable wetlands represented as polygons on the appropriate parcel(s) and were labeled as "PW” on the maps. No further characterization or assessment was required for probable wetlands in the LWI. These probable wetlands trigger cities and counties to submit a wetland land use notice to the Department for proposed land use activities affecting mapped wetlands and other waters (ORS 215.418 and 227.350).

  19. d

    Applications

    • datadiscoverystudio.org
    Updated Jun 27, 2018
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    PRISM Group Support and PRISM modeling, Oregon Climate Service, Oregon State University (2018). Applications [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/a2b7d01e234b42cfa2ce63a60f62de72/html
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    Dataset updated
    Jun 27, 2018
    Dataset provided by
    PRISM Group Support and PRISM modelling, Oregon State University
    Authors
    PRISM Group Support and PRISM modeling, Oregon Climate Service, Oregon State University
    Area covered
    Description

    URL from idinfo/citation in CSDGM metadata.

  20. o

    Oregon Urban Growth Boundaries (2022)

    • hub.oregonexplorer.info
    • oregon-explorer-osugisci.hub.arcgis.com
    Updated Dec 31, 2022
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    Oregon State University GISci (2022). Oregon Urban Growth Boundaries (2022) [Dataset]. https://hub.oregonexplorer.info/maps/OSUGISci::oregon-urban-growth-boundaries-2022/about
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    Dataset updated
    Dec 31, 2022
    Dataset authored and provided by
    Oregon State University GISci
    Area covered
    Description

    This theme delineates urban growth boundaries (UGBs) in the state of Oregon. The line work was created by various sources including the Oregon Department of Land Conservation and Development (DLCD), the Oregon Department of Transportation (ODOT), Metro Regional Council of Governments (Metro), county and city GIS departments, and the Oregon Department of Administrative Services - Geospatial Enterprise Office (DAS-GEO). UGB areas consist of unincorporated lands surrounding a city that show where the city plans to grow over the next 20 years. When a city needs to develop more residential, commercial, industrial, or public land, it annexes the needed area from its UGB. If a city runs out of needed land within the UGB, it can expand its UGB. Original UGBs were established under the Oregon Statewide Planning Goals in 1973 by the Oregon State Legislature (Senate Bill 100). Goal 14 of the statewide planning program is, "To provide for an orderly and efficient transition from rural to urban land use, to accommodate urban population and urban employment inside urban growth boundaries, to ensure efficient use of land, and to provide for livable communities." The process and requirements for designating and amending UGBs are in Oregon Administrative Rules, Chapter 660, Division 24 (OAR 660-024). Designating or amending a UGB requires a public process, as required by Planning Goal 1, followed by approval by both the city and county elected officials and acknowledgement by the DLCD. This process includes the city submitting a Post Acknowledgement Plan Amendment (PAPA) to DLCD to review for consistency with Goal 14. The PAPA submittal includes GIS files that delineate the changes to the UGB. DLCD aggregates the local GIS layers into the statewide UGB layer. UGB line work and attributes are verified with the city PAPA submittals entered in DLCD’s tabular database to ensure that all UGB updates reported to DLCD have been included in this dataset. UGBs that are currently in the appeal process at the time of publication of this layer are not included. The effDate attribute indicates the year in which the UGB amendment was acknowledged by DLCD. In 2022, DLCD acknowledged amendments to the following UGBs: Central Point, Dayton, Phoenix, and Turner. Corrections were also made to the Astoria and Condon UGBs to reflect the current acknowledged boundary.

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Oregon State University GISci (2019). Oregon Explorer [Dataset]. https://oregon-explorer-osugisci.hub.arcgis.com/datasets/oregon-explorer

Oregon Explorer

Explore at:
Dataset updated
Nov 8, 2019
Dataset authored and provided by
Oregon State University GISci
Area covered
Description

Oregon Explorer Hub Site: A collaboration between Oregon State University Libraries and Press and the Institute for Natural Resources.

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