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.

Elevation Point Cloud data is available from various sources. Visit the links below or contact Reed Burgette (reed.burgette@dogami.oregon.gov) at Department of Geology and Mineral Industries (DOGAMI) for more information. Resources: https://gis.dogami.oregon.gov/maps/lidarviewer/ ftp://lidar.engr.oregonstate.edu/ https://coast.noaa.gov/digitalcoast/ https://www.usgs.gov/programs/national-geospatial-program/national-map

This is the Oregon National Historic Trail Visitor Use Experience Web Map for the Oregon National Historic Trail Visitor Use Experience Application. The Oregon National Historic Trail Visitor Use Experience Application is an interactive web mapping application for the public to view visitor use opportunities along the Oregon National Historic Trail. This is a complement to The NPS App - Digital (U.S. National Park Service). Please see the app and the Oregon National Historic Trail (U.S. National Park Service) (nps.gov) for more information.

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).

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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 fina

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This product is for informational purposes and may not have been prepared for, or be suitable for legal, engineering, or surveying purposes.

Users of this information should review or consult the primary data and information sources to ascertain the usability of the information.

This data is maintained by and obtained from Metro Data Resource Center. Please go to http://rlisdiscovery.oregonmetro.gov/metadataviewer/display.cfm?meta_layer_id=123 for the complete metadata.

--Additional Information: Category: Boundary Purpose: No purpose information available. Update Frequency: Unknown

© City of Portland, Oregon

In 2015, the Oregon Biodiversity Information Center at Portland State University worked with the Oregon Department of Fish and Wildlife (ODFW), to assist in their 2015 conservation strategy update. This work involved updating the maps of each of ODFW’s conservation strategy habitats originally created for the first strategy in 2006,and integrating these into a 2015 strategy habitat map. The updated maps took advantage of new data and spatial modeling tools. However, strategy habitats only represent only 11 of the approximately 77 Oregon habitats, and are only mapped in the ecoregions in which they are conservation priorities. As a result, there was a strong interest in using this 2015 data to create a statewide, comprehensive habitat map. In 2017, the Oregon Department of Administrative Services, Geographic Enterprise Office (DAS-GEO), through their Framework Implementation program, with additional support from ODFW, funded the completion of a statewide habitat map, which was completed at the end of 2018. The habitat map is a compilation of a number of recent regional and ecosystem focused vegetation-mapping efforts. It includes the best available data for each of the habitat types. As a result, different parts of the map rely on varied methods and data. For detailed methodology please see the enclosed PDF document.

These data provide an accurate high-resolution shoreline extracted from lidar derived digital elevation models of Oregon Inlet, NC This vector shoreline data is based on a specific tidal datum that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Objec...

The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk Information And supporting data used to develop the risk data. The primary risk; classificatons used are the 1-percent-annual-chance flood event, the 0.2-percent- annual-chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the UTM projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.

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 digital data set, compiled from new 10-meter digital elevation model (DEM) data, represents the physiography of the Willamette Valley, Oregon. This new physiographic data is useful because the improved resolution allows for better visualization of flood and fluvial features in the low lying areas of the Willamette Valley. Many scientist are interested in the Willamette Valley because it is subject to a variety of earthquake hazards, and its water and geologic resources are under pressure from rapid urbanization (see sheets for a brief description). Further, this Open-File report details the techniques used to create these maps (See readme.pdf). It is the author's purpose to publish these techniques and data so others may use this report to generate their own gray scale and/or color shaded-relief maps. All information about the data and methods used to create this report are in the readme.pdf file and this document.

This digital dataset was compiled from newly released U.S. Geological Survey 10-meter digital elevation model (DEM) data, along with stream and transportation coverages previously published on the internet. This report consists of a digital representation of the physiography of the Willamette Valley. Contained in this dataset is: 1) 10-meter DEM data for the entire Willamette Valley; 2) the ARC/INFO grids used to create the color shaded-relief and gray scale shaded-relief images; 3) the necessary data ARC/INFO data to used to plot these data; and 4) several reports detailing the data formats (this docuement) and producers used to create these datasets. The scale of the original 10-meter DEM data should not be violated. Any use of these original data smaller than the intended scale (1:24,000) will not yield improved accuracy.

The databases in this report were compiled in ARC/INFO, a commercial Geographic Information System (Environmental Systems Research Institute, Redlands, California, with version 3.0 of the menu interface ALACARTE (Fitzgibbon and Wentworth, 1991, Fitzgibbon, 1991, Wentworth and Fitzgibbon, 1991). The files are in either GRID (ARC/INFO raster data) format or COVERAGE (ARC/ INFO vector data) format. Coverages are stored in uncompressed ARC export format (ARC/INFO version 8.0.2). ARC/INFO export files (files with the .e00 extension) can be converted into ARC/ INFO coverages in ARC/INFO (see below) and can be read by some other Geographic Information Systems, such as MapInfo via ArcLink and ESRI's ArcView (version 1.0 for Windows 3.1 to 3.11 is available for free from ESRI's web site: http://www.esri.com). The digital compilation was done in version 8.0.2 of ARC/INFO with version 3.0 of the menu interface ALACARTE (Fitzgibbon and Wentworth, 1991, Fitzgibbon, 1991, Wentworth and Fitzgibbon, 1991). Custom AMLs were written to compile the 10-meter DEM data from 7.5-minute quadrangles into large composite datasets. The data was compiled as ARC/INFO grids and then converted to decimeter integer grids. This procedure greatly reduces the file sizes without downgrading the data quality. Stream coverages were merged with the grids used to create the color shaded-relief grid composite. Further details on the techniques used to generate these maps are available in the readme file of this report.

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 Oreg

This data contains the location and legend of mileposts markers (signs) on state owned highways.This GIS base layer can be used for planning purposes and as a reference layer on standard Oregon Department of Transportation (ODOT) city and county map formats. Full details: https://geohub-oregon-geo.hub.arcgis.com/datasets/oregon-geo::mileposts/about

This geospatial database maps the distribution of landforms along the Umatilla River in northeastern Oregon and covers a corridor 127 kilometers long from the confluence of the Umatilla River with the Columbia River upstream to Meacham Creek. The database encompasses the valley bottom and extends about 1 kilometer up the adjoining hillslopes. Map data are intended to support water quality and fisheries enhancement efforts pursuant to the First Foods, a resource-management approach that focuses on traditionally gathered foods including water, fish, big game, roots, and berries and calls attention to the reciprocity between people and the foods upon which humans depend. The Umatilla River drains about 6,300 square kilometers on the northwest slope of the Blue Mountains in northeast Oregon. Most of the drainage basin is underlain by Miocene basalt flows of the Columbia River Basalt Group. Younger, weakly lithified, late Miocene and early Pliocene gravel deposits of local origin (for ...

The Community of Interest Map Collection Project aims to collect COI maps submitted to legislative and congressional redistricting bodies and organizations during the 2021 redistricting cycle.

An area encompassing all the National Forest System lands administered by an administrative unit. The area encompasses private lands, other governmental agency lands, and may contain National Forest System lands within the proclaimed boundaries of another administrative unit. All National Forest System lands fall within one and only one Administrative Forest Area.Downloads available: https://data.fs.usda.gov/geodata/edw/datasets.php?xmlKeyword=Administrative+Forest+Boundaries

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.