The Oregon Department of Forestry has three programs that are outlined by district boundaries. Use this hosted feature layer to display one or more in webmaps. Current June 7, 2019.Contact:Steve TimbrookGIS Data AdministratorAdministrative BranchInformation Technology Program - GIS UnitOregon Department of Forestrysteve.timbrook@odf.oregon.gov503.931.2755

The Oregon Department of Forestry's (ODF) GIS goal is to support the stewardship of Oregon's forests through the acquisition, analysis, distribution and display of geographic information. We are using ArcGIS Online as tool to help our state agency upload, collaborate, and expose geospatial data online. ODF was established in 1911. It is under the direction of the State Forester who is appointed by the State Board of Forestry. The statutes direct the state forester to act on all matters pertaining to forestry, including collecting and sharing information about the conditions of Oregon's forests, protecting forestlands and conserving forest resources.Our Agency tasks include: Fire protection for 16 million acres of private, state and federal forests.Regulation of forest practices (under the Oregon Forest Practices Act) and promotion of forest stewardship.The implementation of the Oregon Plan for Salmon and Watersheds.Detection and control of harmful forest insect pests and forest tree diseases on 12 million acres of state and private lands.Management of 818,800 acres of state-owned forestlands.Forestry assistance to Oregon's 166,000 non-industrial private woodland owners.Forest resource planning.Community and urban forestry assistance.Contact:Contact:Steve TimbrookGIS Data AdministratorAdministrative BranchInformation Technology Program - GIS UnitOregon Department of Forestrysteve.timbrook@odf.oregon.gov503.931.2755

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

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.

Oregon Ownership and Admin Boundaries managed by Oregon Department of Forestry (2021).This includes Public Ownership, Counties, ODF Forest Protection Districts, and ODF Units, for the entire State of Oregon. This is only an export of the master data and is not updated on a regular schedule. Please see the source data to ensure accuracy and ensure it is up to date. Last updated on 7/11/2021, BRM..Useful Links:www.oregon.gov/odfhttps://www.oregon.gov/ODF/AboutODF/Pages/MapsData

PUBLISHED: 07/29/2024 with thicker roads.The purpose of this map is to assist in wildland fire fighting activities. The data that is displayed is to help locate important features for fire fighting and navigate difficult back country roads and trails. This map contains Lookouts, Summits, Fire Stations, Feature Points, ODF Offices, ODF Communication Sites, Railroad Mileposts, Highway Mileposts, Gates, Water Source, Springs, Electric Transmission Lines, Railroads, Roads, Trails, Streams, Protection Boundaries- Unit and District, USFS District Lines, Structural Fire Protection District, Statewide Waterbodies, Scenic Waterways, Rangeland Protection Associations, Counties, Townships, Sections, Wilderness, Land Management and City Limits .This map is published as a map service (with hillshade), raster tile package (with hillshade), and vector tile package (without hillshade).

Point location of active fire lookouts utilized by fire agencies in Oregon. The points are attributed with the name of the lookout, the managing agency, the height of the tower, and the elevation at the base of the tower. Retired lookouts are in separate data set [lookouts_historic].https://ftp.gis.oregon.gov/framework/Preparedness/Wildfire_Related_Facilities.Zip

The purpose of this map is to assist in wildland fire fighting activities. The data that is displayed is to help locate important features for fire fighting and navigate difficult back country roads and trails. This map contains Lookouts, Summits, Fire Stations, Feature Points, ODF Offices, ODF Communication Sites, Railroad Mileposts, Highway Mileposts, Gates, Water Source, Springs, Electric Transmission Lines, Railroads, Roads, Trails, Streams, Protection Boundaries- Unit and District, USFS District Lines, Structural Fire Protection District, Statewide Waterbodies, Scenic Waterways, Rangeland Protection Associations, Counties, Townships, Sections, Wilderness, Land Management and City Limits .This map is published as a map service (with hillshade), raster tile package (with hillshade), and vector tile package (without hillshade).

Polygons delineating Federal, Tribal, State, and Local government land ownership/management at a scale of 1:24,000 within Oregon. The Ownership Land Management feature class provides a current representation of statewide land management and ownership status by integrating the best available data for Federal, State and County sources. This is not a legal representation and should not be considered an official source of property ownership or management. The attributes include information on who is the title holder as well as the entity responsible for managing the property.

The Private Forest Accords Steep Slope data includes 3 layers, which are available for download:1) Debris Flow Traversal Areas with the highest 20% shown by red channels and highest 50-20% displayed as orange channels (symbology generated on the Trav_Prop field, with highest 20% categorized from 0.8-1.0 and highest 50-20% categorized from 0.5-0.8).2) Debris Flow Traversal Area Subbasins, which circumscribe the highest 20% Debris Flow Traversal Areas (dashed line).3) Designated Sediment Source Areas, which are within each subbasin and display the highest 33% of Sediment Source Areas greater than ¼ acre in size. These are indicated as blue and coral polygons (symbolized on the TriggerSource field). The coral polygons indicate the Designated Sediment Source Areas that include Trigger Sources (TriggerSource field = True). Blue polygons indicate areas without Trigger Sources (TriggerSource field = False).

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

Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

The Oregon Fish Passage Barrier Data Standard (OFPBDS) dataset contains barriers to fish passage in Oregon watercourses. Barriers include the following types of natural or artificial structures: bridges, cascades, culverts, dams, debris jams, fords, natural falls, tide gates, and weirs. The OFPBDS dataset does not include structures which are not associated with in-stream features (such as dikes, levees or berms). Barriers are structures which do, or potentially may, impede fish movement and migration. Barriers can be known to cause complete or partial blockage to fish passage, or they can be completely passable, or they may have an unknown passage status. This dataset complies with version 1.1 of the OFBPDS data standard. New optional attributes have been added to describe fish passage barrier feature modifications, to describe supplementary information (via a comments field) and also to linear reference the barrier features to the National Hydrography Dataset. The OFPBDS dataset now contains over 40,000 barrier features from 19 separate sources including: Oregon Department of Fish and Wildlife (ODFW), Oregon Department of Transportation (ODOT), Oregon Department of Water Resources (OWRD), Oregon Department of Forestry (ODF), Oregon Watershed Enhancement Board (OWEB), Oregon Department of Land Conservation and Development (DLCD) US Bureau of Land Management (BLM), US Forest Service, Nez Perce Tribe, Benton SWCD, Washington county, Lower Columbia River Estuary Partnership and watershed councils representing the Rogue, Umpqua, Siuslaw, Santiam, Calapooia, Clackamas and Scapoose basins. The Data Steward obtained fish passage barrier data from multiple data originators between 2008 and 2019, collaborated with them to develop inclusion / exclusion criteria and dataset specific crosswalks for converting data from its original data structure to the structure of the OFPBDS. The data were then converted into the OFPBDS format and analyzed for duplication with existing OFPBDS barrier features. Where duplicates were identified, depending upon the scenario, one feature was either chosen over the other or in some cases attributes from different sources are combined. Source information is retained for each feature. The data were then loaded into the OFPBDS database. Barrier features were linear referenced (Framework Hydro only which is outside of the standard) and the corresponding optional attribute elements were populated. The data conversion, duplication reconciliation and linear referencing protocols are documented in the Oregon Fish Passage Barrier Data Management Plan. A separate dataset containing fish passage barrier features that have been completely removed or replaced (e.g. dam removals and culvert replacements) is published simultaneously with the OFPBDS dataset. The OFPBDS database is the most comprehensive compilation of fish passage barrier information in Oregon however, it does NOT represent a complete and current record of every fish passage barrier within the state. Efforts to address deficiencies in data currency, completeness and accuracy are ongoing and are often limited by lack of sufficient resources. Attributes (including key attributes such as fish passage status) are often unknown or incomplete. Consistency in attribution also varies among data originators. Field verification of barrier features and their attributes will be an important component to making this dataset current, comprehensive and accurate. Fish passage status is a key attribute. Many barrier features have an unknown passage status. For other features, the passage status may have changed since it was originally documented. Note that this metadata file is best viewed in ArcCatalog. Documentation for the OFPBDS can be found online at http://www.oregon.gov/DAS/EISPD/GEO/docs/bioscience/OregonFishPassageBarrierDataStandardv1dot1.pdf.

This is a dataset download, not a document. The Open button will start the download.Digital Elevation Model. 10m pixels. Elevation values in feet. Elevation data assembled from merged 7.5-minute DEM blocks (10- by 10-m data spacing).

Forest resources in Washington and Oregon were surveyed in the 1930s by employees of the USDA Forest Service, Pacific Northwest Forest Experiment Station. As part of this process, forest cover maps were created on paper at an original scale of 1:253,440. Forest and land cover types recorded include classifications such as: agricultural, balsam fir mountain hemlock, cedar-redwood, deforested burns, Douglas-fir, hardwood, juniper, lodgepole pine, non-forest pine mix, ponderosa pine, recent cutover, spruce-hemlock, subalpine and non-commercial, water, etc. An additional subcategory classification is also provided which gives additional insight into tree size classes for conifers or species group for hardwoods. These forest and land cover types are provided as both a shapefile and geopackage for Washington and Oregon combined.The 1928 McSweeney-McNary Forestry Research Act (P.L. 70-466, 45 Stat. 699-702) directed the Secretary of Agriculture to make and keep current a comprehensive inventory and analysis of the nation's forest resources. The decision was made to begin the nationwide survey with the Douglas-fir region and shortly thereafter to expand to the other forested lands of Washington and Oregon. Surveys were conducted between 1930 and 1936. Results of these surveys were reported in many formats including quarter state maps (4 maps per state) as well as many printed reports.The history of this project and copies of some of the early results as well, were published in Harrington (2003) which included a CD with a digital map (an ArcView GIS shapefile) for all of Washington and Oregon.

Notifications of harvest activity in the State of Oregon submitted to the Oregon Department of Forestry through the Forest Activity Electronic Reporting and Notification System (FERNS). FERNS allows landowners to Notify the Oregon Department of Forestry prior to conducting an operation or forest practice. The notification requires the drawing of a polygon, line or point shape. Each shape can have one or multiple activities. For each activity a shape is extracted from the FERNS data to display in ESRI formatted feature class. It is possible to have multiple identical shapes on top of each other. Included in the feature class are basic attributes associated with the activity. This file is a copy of the source data stored and maintained in the FERNS program. For each notification the official shape and data are found at https://ferns.odf.state.or.us/E-Notification/.Oregon Department of Forestry

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.

Wilderness areas are federally-owned public lands managed by the federal government through four agencies, the Bureau of Land Management, Fish and Wildlife Service, Forest Service, and National Park Service. When the National Wilderness Preservation System started in 1964, only 54 wilderness areas were included. Since then, the system has grown nearly every year to include more than 800. The time component of this service is based on the year in which the wilderness was originally designated (additions may have occurred in subsequent years). Overall, however, only about 5% of the entire United States—an area slightly larger than the state of California— is protected as wilderness. Because Alaska contains just over half of America's wilderness, only about 2.7% of the contiguous United States—an area about the size of Minnesota—is protected as wilderness. To learn more about wilderness areas, visit Wilderness Connect, the authoritative source for wilderness information online. Wilderness Connect also publishes two other map resources:An interactive wilderness map allows visitors to search for and explore all wilderness areas in the United States. Fact-filled storymaps on the benefits of wilderness illustrate how wilderness protects values including clean water, wildlife habitat, nearby recreation, cultural sites and more.

Although wilderness areas are federally-owned, some areas contain non-federal parcels within their boundaries. Non-federal lands within some wilderness areas are included as part of this feature dataset as a separate layer. Termed inholdings or edgeholdings, these lands are privately-owned or owned by local governments, state governments or Indigenous Nations. Hundreds of inholdings and edgeholdings exist across the wilderness system. Generally, however, they are small compared to the size of the wilderness itself. Since the rules and regulations that apply to wilderness areas do not apply to these non-federally-owned parcels, it is important for wilderness visitors to know their location to avoid trespassing where access is not allowed. The owners of inholdings and edgeholdings can develop these parcels (as long as developments do not affect the character of the surrounding wilderness lands) and they retain special and limited access to them, sometimes, but not always, by motorized means.

The datasets used in the creation of the predicted Habitat Suitability models includes the CWHR range maps of Californias regularly-occurring vertebrates which were digitized as GIS layers to support the predictions of the CWHR System software. These vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for Californias 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. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.The models also used the CALFIRE-FRAP compiled "best available" land cover data known as Fveg. This compilation dataset was created as a single data layer, to support the various analyses required for the Forest and Rangeland Assessment, a legislatively mandated function. These data are being updated to support on-going analyses and to prepare for the next FRAP assessment in 2015. An accurate depiction of the spatial distribution of habitat types within California is required for a variety of legislatively-mandated government functions. The California Department of Forestry and Fire Protections CALFIRE Fire and Resource Assessment Program (FRAP), in cooperation with California Department of Fish and Wildlife VegCamp program and extensive use of USDA Forest Service Region 5 Remote Sensing Laboratory (RSL) data, has compiled the "best available" land cover data available for California into a single comprehensive statewide data set. The data span a period from approximately 1990 to 2014. Typically the most current, detailed and consistent data were collected for various regions of the state. Decision rules were developed that controlled which layers were given priority in areas of overlap. Cross-walks were used to compile the various sources into the common classification scheme, the California Wildlife Habitat Relationships (CWHR) system.CWHR range data was used together with the FVEG vegetation maps and CWHR habitat suitability ranks to create Predicted Habitat Suitability maps for species. The Predicted Habitat Suitability maps show the mean habitat suitability score for the species, as defined in CWHR. CWHR defines habitat suitability as NO SUITABILITY (0), LOW (0.33), MEDIUM (0.66), or HIGH (1) for reproduction, cover, and feeding for each species in each habitat stage (habitat type, size, and density combination). The mean is the average of the reproduction, cover, and feeding scores, and can be interpreted as LOW (less than 0.34), MEDIUM (0.34-0.66), and HIGH (greater than 0.66) suitability. Note that habitat suitability ranks were developed based on habitat patch sizes >40 acres in size, and are best interpreted for habitat patches >200 acres in size. The CWHR Predicted Habitat Suitability rasters are named according to the 4 digit alpha-numeric species CWHR ID code. The CWHR Species Lookup Table contains a record for each species including its CWHR ID, scientific name, common name, and range map revision history (available for download at https://www.wildlife.ca.gov/Data/CWHR).

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. Seed zones for Alaska Yellow Cedar, Cottonwood, Douglas Fir, Engelmann Spruce, Grand Fir, Incense Cedar, Jeffrey Pine, Lodgepole Pine, Noble Fir, Pacific Silver Fir, Pacific Yew, Ponderosa Pine, Port Orford Cedar, Red Alder, Sitka Spruce, Sugar Pine, Western Hemlock, Western Red Cedar, Western White Pine, and basic zones for other species in Oregon. Zones are based on genetic variation patterns obtained by evaluating genotypes of trees from locations in the region. Wherever possible, the zone lines follow natural boundaries such as crests of mountain ranges, ridge tops, rivers -or physical boundaries, such as highways and railroads, since it would be impossible for cone collectors to recognize any other type of boundary.