This is a dataset download, not a document. The Open button will start the download.This data layer is an element of the Oregon GIS Framework and has been clipped to the Oregon boundary and reprojected to Oregon Lambert (2992). The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released four National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, and 2011. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation’s land resources, the USGS has designed a new generation of NLCD products named NLCD 2016. The NLCD 2016 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2016 at 2–3-year intervals. Comprehensive research was conducted and resulted in developed strategies for NLCD 2016: a streamlined process for assembling and preprocessing Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2016 production. The performance of the developed strategies and methods were tested in twenty World Reference System-2 path/row throughout the conterminous U.S. An overall agreement ranging from 71% to 97% between land cover classification and reference data was achieved for all tested area and all years. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2016 operational mapping. Questions about the NLCD 2016 land cover product can be directed to the NLCD 2016 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details.

This data layer is an element of the Oregon GIS Framework. The Oregon Wetlands Database (2019) is a geodatabase consisting of three feature classes: 1) Local Wetland Inventory (LWI) Wetlands, 2) National Wetland Inventory (NWI) Wetlands, and 3) More Oregon Wetlands (MOW). Each feature class contains polygons representing wetland boundaries. The three feature classes originated from different sources with distinct purposes, methodologies and time frames for generating geospatial wetlands data, and there is overlap among them; however, all are relevant to the conservation and management of wetlands across the state of Oregon. See the metadata of the individual feature classes for more background information and details per dataset.

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).

This Zoning feature class is an element of the Oregon GIS Framework statewide, Zoning spatial data. This version is authorized for public use. Attributes include zoning districts that have been generalized to state classes. As of June 30, 2023, this feature class contains zoning data from 229 local jurisdictions. DLCD plans to continue adding to and updating this statewide zoning dataset as they receive zoning information from the local jurisdictions. Jurisdictions included in the latest version of the statewide zoning geodatabase:

Cities: Adams, Adrian, Albany, Amity, Antelope, Ashland, Astoria, Athena, Aurora, Banks, Barlow, Bay City, Beaverton, Bend, Boardman, Bonanza, Brookings, Brownsville, Burns, Butte Falls, Canby, Cannon Beach, Carlton, Cascade Locks, Cave Junction, Central Point, Chiloquin, Coburg, Columbia City, Coos Bay, Cornelius, Corvallis, Cottage Grove, Creswell, Culver, Dayton, Detroit, Donald, Drain, Dufur, Dundee, Dunes City, Durham, Eagle Point, Echo, Enterprise, Estacada, Eugene, Fairview, Falls City, Florence, Forest Grove, Fossil, Garibaldi, Gaston, Gates, Gearhart, Gervais, Gladstone, Gold Beach, Gold Hill, Grants Pass, Grass Valley, Gresham, Halsey, Happy Valley, Harrisburg, Helix, Hermiston, Hillsboro, Hines, Hood River, Hubbard, Idanha, Independence, Jacksonville, Jefferson, Johnson City, Jordan Valley, Junction City, Keizer, King City, Klamath Falls, La Grande, La Pine, Lafayette, Lake Oswego, Lebanon, Lincoln City, Lowell, Lyons, Madras, Malin, Manzanita, Maupin, Maywood Park, McMinnville, Medford, Merrill, Metolius, Mill City, Millersburg, Milton-Freewater, Milwaukie, Mitchell, Molalla, Monmouth, Moro, Mosier, Mount Angel, Myrtle Creek, Myrtle Point, Nehalem, Newberg, Newport, North Bend, North Plains, Nyssa, Oakridge, Ontario, Oregon City, Pendleton, Philomath, Phoenix, Pilot Rock, Port Orford, Portland, Prescott, Prineville, Rainier, Redmond, Reedsport, Rivergrove, Rockaway Beach, Rogue River, Roseburg, Rufus, Saint Helens, Salem, Sandy, Scappoose, Scio, Scotts Mills, Seaside, Shady Cove, Shaniko, Sheridan, Sherwood, Silverton, Sisters, Sodaville, Spray, Springfield, Stanfield, Stayton, Sublimity, Sutherlin, Sweet Home, Talent, Tangent, The Dalles, Tigard, Tillamook, Toledo, Troutdale, Tualatin, Turner, Ukiah, Umatilla, Vale, Veneta, Vernonia, Warrenton, Wasco, Waterloo, West Linn, Westfir, Weston, Wheeler, Willamina, Wilsonville, Winston, Wood Village, Woodburn, Yamhill.

Counties: Baker County, Benton County, Clackamas County, Clatsop County, Columbia County, Coos County, Crook County, Curry County, Deschutes County, Douglas County, Harney County, Hood River County, Jackson County, Jefferson County, Josephine County, Klamath County, Lane County, Lincoln County, Linn County, Malheur County, Marion County, Multnomah County, Polk County, Sherman County, Tillamook County, Umatilla County, Union County, Wasco County, Washington County, Wheeler County, Yamhill County.

R emaining jurisdictions either chose not to share data to incorporate into the public, statewide dataset or did not respond to DLCD’s request for data. These jurisdictions’ attributes are designated “not shared” in the orZDesc field and “NS” in the orZCode field.

The new Oregon Address Geocoder is used to find the location coordinates for street addresses in the State of Oregon. This service is:

• Free
  
• Public
• Updated regularly
• Outputs location coordinates in Oregon Lambert, feet (SRID 2992)
• Uses over 2 million address points and 288,000 streets for reference

It is an ArcGIS multirole locator with two roles:

1. Point Address - Generally more accurate results from rooftop location points. Includes a Subaddress if a unit number is located.
   
2. Street Address - Less accurate results from an estimated distance along a street centerline address range if a Point Address was not found.

Instructions for using the Geocoder via ArcGIS Pro, ArcGIS Online, and REST Services are below:

ArcGIS Pro
Web Services
ArcGIS Online

This is a dataset download, not a document. The Open Document button will start the download.This data layer is an element of the Oregon GIS Framework. This data layer represents the Existing Vegetation data element. This statewide grid was created by combining four independently-generated datasets: one for western Oregon (USGS zones 2 and 7), and two for eastern Oregon (USGS zones 8 and 9; forested and non-forested lands), and selected wetland types from the Oregon Wetlands geodatabase. The landcover grid for zones 2 and 7 was produced using a modification of Breiman's Random Forest classifier to model landcover. Multi-season satellite imagery (Landsat ETM+, 1999-2003) and digital elevation model (DEM) derived datasets (e.g. elevation, landform, aspect, etc.) were utilized to build two predictive models for the forested landcover classes, and the nonforested landcover classes. The grids resulting from the models were then modified to improve the distribution of the following classes: volcanic systems and wetland vegetation. Along the eastern edge, the sagebrush systems were modified to help match with the map for the adjacent region. Additional classes were then layered on top of the modified models from other sources. These include disturbed classes (harvested and burned), cliffs, riparian, and NLCD's developed, agriculture, and water classes. A validation for forest classes was performed on a withheld of the sample data to assess model performance. Due to data limitations, the nonforest classes were evaluated using the same data that were used to build the original nonforest model. Two independent grids were combined to map landcover in adjacent zones 8 and 9. Tree canopy greater than 10% (from NLCD 2001), complemented with a disturbance grid, served as a mask to delineate forested areas. A grid of non-forested areas was extracted from a larger, regional grid (Sagemap) created using decision tree classifier and other techniques. Multi-season satellite imagery (Landsat ETM+, 1999-2003) and digital elevation model (DEM) derived datasets (e.g. elevation, landform, aspect, etc.) were utilized to derive rule sets for the various landcover classes. Eleven mapping areas, each characterized by similar ecological and spectral characteristics, were modeled independently of one another and mosaicked. An internal validation for modeled classes was performed on a withheld 20% of the sample data to assess model performance. The portion of this original grid corresponding to USGS map zones 8 and 9 was extracted and split into three mapping areas (one for USGS zone 8, two for USGS zone 9: Northern Basin and Range in the south, Blue Mountains in the north) and modified to improve the distribution of the following classes: cliffs, subalpine zone, dunes, lava flows, silver sagebrush, ash beds, playas, scabland, and riparian vegetation. Agriculture and urban areas were extracted from NLCD 2001. A forest grid was generated using Gradient Nearest Neighbor (GNN) imputation process. GNN uses multivariate gradient modeling to integrate data from regional grids of field plots with satellite imagery and mapped environmental data. A suite of fine-scale plot variables is imputed to each pixel in a digital map, and regional maps can be created for most of the same vegetation attributes available from the field plots. However, due to lack of sampling plots in the southern half of zone 9, the GNN model proved unreliable there; forest data from Landfire were used instead. To compensate for known under-representation of wetlands, selected wetland types from the Oregon Wetlands Geodatabase (version 2009-1030) were converted to raster and overlaid (replaced) pixel value assignments from the previous steps just detailed. See Process Steps for more information. The ecological systems were crosswalked to landcover (based on Oregon landcover standard, modified from NLCD 2001) and to wildlife habitats (based on integrated habitats used in the Oregon, Washington, and Idaho Dept of Fish & Wildlife conservation strategies). These codes and names are included in the value attribute table provided with the ecological systems grid.

Vector polygon map data of city limits from cities across the State of Oregon containing 241 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.

SLIDO-4.5 is an Esri ArcGIS version 10.7 file geodatabase which can be downloaded here: https://www.oregon.gov/dogami/slido/Pages/data.aspx The geodatabase contains two feature datasets (a group of datasets within the geodatabase) containing six feature classes total, as well as two raster data sets, one individual table, and two individual feature classes. The original studies vary widely in scale, scope and focus which is reflected in the wide range of accuracy, detail, and completeness with which landslides are mapped. In the future, we propose a continuous update of SLIDO. These updates should take place: 1) each time DOGAMI publishes a new GIS dataset that contains landslide inventory or susceptibility data or 2) at the end of each winter season, a common time for landslide occurrences in Oregon, which will include recent historic landslide point data. In order to keep track of the updates, we will use a primary release number such as Release 4.0 along with a decimal number identifying the update such as 4.5.

To access the tax lot layer you will need to contact the county Assessor's office. ORMAP is a statewide digital cadastral base map that is publicly accessible, continually maintained, supports the Oregon property tax system, supports a multi-purpose land information system, strives to comply with appropriate state and national standards, and will continue to be improved over time.

CDFW BIOS GIS Dataset, Contact: CWHR California Wildlife Habitat Relationships, Description: Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for California's wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California.

state_poly: This theme shows the jurisdictional and cartographic state perimeters for Oregon and Washington.

This is a dataset download, not a document. The Open button will start the download.Oregon Geologic Data Compilation, release 7 (OGDC-7), compiled by Jon J. Franczyk, Ian P. Madin, Carlie J.M. Duda, and Jason D. McClaughryhttps://www.oregongeology.org/pubs/dds/p-OGDC-7.htmThis is a compressed file containing a File Geodatabase with multiple feature classes, metadata XML, and a PDF pamphlet.The Oregon Geologic Data Compilation (OGDC) is a digital data collection of geologic studies created by the Oregon Department of Geology and Mineral Industries (DOGAMI). The purpose of the compilation is to integrate and make available the best available published geologic mapping for the state by combining maps and data into a single consistent and maintainable digital database. OGDC was first released by DOGAMI in 2004, with successive releases building either geographically or qualitatively on previous releases. OGDC-6 was published in 2015 and serves as the Oregon Geologic Data Standard for the state as a data element component of the Geosciences Theme within the Oregon Framework Themes. The release of OGDC-7 builds directly from data published in OGDC-6 by migrating the database structure to the National Cooperative Geologic Mapping Program (NCGMP) Geologic Map Schema (GeMS). DOGAMI has implemented the GeMS schema as the database standard for all geologic mapping projects published from 2019 onward to meet NCGMP requirements and to support the state’s contribution to standardized nationwide geologic content. The transition to OGDC-7 required migrating the existing OGDC statewide compilation to the GeMS format for streamlining future updates, data creation, and data maintenance. Additionally, the transition to GeMS adds fundamental geologic map point data (e.g., structural data, geochronology, and geochemistry) as comprehensive geospatial datasets not included as part of previous versions of OGDC.

Ecoregions denote areas of general similarity in ecosystems and in the type quality, and quantity of environmental resources. The ecoregions shown here have been derived from the "Level III Ecoregions of the continental United States" GIS coverage created by the US Environmental Protection Agency. The useco polygon was converted to a shapefile in ArcToolbox using the "Feature Class To Shapefile" tool. The shapefile was reprojected from Albers Conical Equal Area to Oregon Lambert. The shapefile was clipped to the boundary of Oregon.

This georectified digital map portrays Oregon, Washington, Idaho and British Columbia. Map date: 1863. The original paper map was scanned, georeferenced, and rectified to broaden access and to facilitate use in GIS software.Georeferenced source data: https://insideidaho.org/data/ago/uofi/library/historic-maps-spec/bancroftsMapOfORWAID.tif.zipNon-georeferenced source data: https://digital.lib.uidaho.edu/digital/collection/spec_hm/id/6/rec/1Original printed map is in Special Collections and Archives, University of Idaho Library, Moscow, ID 83844-2350; http://www.lib.uidaho.edu/special-collections/.

This layer is sourced from gis.odot.state.or.us.

Oregon State Highways

© Oregon Department of Transportation

May 09, 2025 update: The Statewide Flow Line data was updated to enhance data management functionality and performance of the data. Some field names were changed in this process.The Oregon Private Forest Accord and Forest Practices Act specified the methodology to develop and maintain the Statewide Flow Line data. Initial development of these data began with using best available Digital Elevation Models (DEMs) to model a synthetic stream network. Where available, lidar DEMs were resampled to a 2 meter resolution. Where lidar was not available, the National Elevation Dataset (NED, resolution of 10 meters) was used. After streams were model the Fransen fish model (Brian R. Fransen, Steven D. Duke, L. Guy McWethy, Jason K. Walter & Robert E. Bilby. 2006. A Logistic Regression Model for Predicting the Upstream Extent of Fish Occurrence Based on Geographical Information Systems Data, North American Journal of Fisheries Management, 26:4, 960-975, DOI: 10.1577/M04-187.1) was applied to predict fish presence for all streams across Oregon. Historic ODF data (maintained in the ODF Statewide Streams Fish Presence dataset) was then conflated to the synthetic streams to overwrite the fish model outputs with any valid fish survey. These data were checked by Oregon Department of Forestry (ODF) and Oregon Department of Fish & Wildlife (ODFW) GIS staff to meet minimum conflation success rates. Errors were identified and documented for future updates.The Flow Line data will be continuously updated with fish and flow permanence surveys, following established protocols and workflows developed by ODF and ODFW. Errors in conflation with historic data, and errors in geometry from the DEM modeling will also continue to be corrected. This data should be treated as a dynamic layer, with any export product frequently updated to ensure the most current information is being used.

CDFW BIOS GIS Dataset, Contact: Steve Stone, Description: This dataset depicts the general boundaries of the Southern OR and Northern CA Coastal Chinook Salmon evolutionarily significant unit (ESU) (i.e., a distinct population segment (DPS) under the U.S. Endangered Species Act) as well as the historical population structure of the species.

This is a dataset download, not a document. The Open button will start the download.This data represents the map extent for current and historical USGS topographic maps for the United States and Territories, including 1 X 2 Degree, 1 X 1 Degree, 30 X 60 Minute, 15 X 15 Minute, 7.5 X 7.5 Minute, and 3.75 X 3.75 Minute. The grid was generated using ESRI ArcInfo GIS software.

The purpose of this dataset is to show the building shape and building locations within the state of Oregon. The building footprints contain attributes to document source information and for ease of updates. https://ftp.gis.oregon.gov/framework/Preparedness/SBFO_v1.zip

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.

This is a dataset download, not a document. The Open button will start the download.This data layer is an element of the Oregon GIS Framework. The Oregon Biodiversity Information Center (ORBIC), part of the Institute for Natural Resources (INR) within the Oregon University System, has been the steward of Oregon’s protected areas data since 1989. This data is incorporated into the NavigatOR GIS utility and the national US protected areas database maintained by the U.S. Geological Survey. New data in Oregon on conservation easements and newly developed protected area maps from local land trusts and County and City governments were incorporated in 2011-2013. The result is a very comprehensive map and protected areas database for Oregon. Updates and edits will continue to be made to improve the dataset.