Washington Department of Natural Resources Local Unit. These areas are administrative subunits of a Washington Department of Natural Resources District.WA DNR Units Metadata

For large areas, like Washington State, download as a file geodatabase. Large data sets like this one, for the State of Washington, may exceed the limits for downloading as shape files, excel files, or KML files. For areas less than a county, you may use the map to zoom to your area and download as shape file, excel or KML, if that format is desired.General DescriptionThis layer shows only Active Roads on DNR Lands in black. This does not include abandoned, orphaned, decommisioned, or closed roads on DNR lands. Roads not on DNR Lands are of unknown status are shown in grey. Roads not on DNR lands and of unknown status may not be drivable. IncludesThe ROAD feature class stores the spatial location and attributes of the State of Washington, Department of Natural Resources’ (DNR) forest roads and of other DNR, public and selected private roads in the state. Other elements of the transportation network such as ferries, railroads, and trails are not included. ContactWashington State Department of Natural Resources (WA DNR) Engineering DivisionAlexandra WashburnAlexandra.Washburn@dnr.wa.gov Updating EffortsUpdating and editing efforts are primarily focused on roads in DNR managed state lands, adjunct roads or in areas that are covered by a published map that is undergoing an update. The original road lines were entered primarily by digitizing from paper maps, scanning by machine, or derived stereoscopically from black and white photo imagery. They are currently updated and corrected as needed, in most cases using on-line, geo-referenced orthophotography, stereo color imagery, GPS or field survey.Roads on DNR Lands should be edited frequently by division staff.Roads outside of DNR Lands are probably edited much less frequently. The group in mapping that did this, does not do it anymore.AttributesThe ROAD layer includes basic attributes that are linked to the intersection-based road segments. These attributes store information about route id, road name, road number, control, responsibility, status, access, surface, classification, and abandonment.PurposeThis layer is used to help in road infrastructure planning and maintenance, Forest Practices and Road Maintenance and Abandonment Planning (RMAP) compliance reporting, forest management, timber sales planning, and is the basis for the ROAD_ROUTE_FT layer and associated event tables that currently record these maintenance activities and road easements. It is widely used as a layer in cartographic presentations and published maps.

Click to downloadClick for metadataService URL: https://gis.dnr.wa.gov/site2/rest/services/Public_Forest_Practices/WADNR_PUBLIC_FP_Unstable_Slopes/MapServer/3The siteclass data layer was created for use in implementing Forest Practices' Riparian Management Rules. (See WAC 222-30-021 and 222-30-022.)

The siteclass data layer was derived from the DNR soils data layer's site index codes and major tree species codes for western and eastern Washington soils contained in the layer's Soils-Main table and Soils-Pflg (private forest land grade) table. Site index ranges in the Soils_PFLG took precedence over site index ranges in the Soils-Main table where data existed.The siteclass data layer was created for use in implementing new ForestPractices' Riparian Management Rules. (See WAC 222-30-021 and 222-30-022.) The siteclass information was derived from the DNR soils data layer's site indexcodes and major tree species codes for western and eastern Washington soilscontained in the layer's Soils-Main table and Soils-Pflg (private forest landgrade) table. Site index ranges in the Soils_PFLG took precedence over siteindex ranges in the Soils-Main table where data existed.Siteclass codes as derived from the soil survey:For Western Washington, the 50 year site index is used SITECLASS SITE INDEX RANGE I 137+ II 119-136 III 97-118 IV 76-96 V 1-75For Eastern Washington, the 100 year site index is used SITECLASS SITE INDEX RANGE I 120+ II 101-120 III 81-100 IV 61-80 V 1-60In addition to the coding scheme above, the following codes were added forrule compliance: SITECLASS DESCRIPTION 6 (Red Alder) The soils major species code indicated Red Alder 7 (ND/GP) No data), NA, or gravel pit 8 (NC/MFP) Non-commercial or marginal commercial forest land 9 (WAT) Water body(Rule note: If the site index does not exist or indicates red alder,noncommercial, or marginally commercial species, the following apply:If the whole RMZ width is within those categories, use site class V.If those categories occupy only a portion of the RMZ width, then use thesite index for conifer in the adjacent soil polygon.)WADNR SOILS LAYER INFORMATION LAYER: SOILS GEN.SOURCE: State soils mapping program CODE DOCUMENT: State soil surveys CONTACT: NA COVER TYPE: Spatial polygon coverage DATA TYPE: Primary data Information for the SOILS data layer was derived from the Private Forest Land Grading system (PFLG) and subsequent soil surveys. PFLG was a five year mapping program completed in 1980 for the purpose of forest land taxation. It was funded by the Washington State Department of Revenue in cooperation with the Department of Natural Resources, Soil Conservation Service (SCS), USDA Forest Service and Washington State University. State and private lands which had the potential of supporting commercial forest stands were surveyed. Some Indian tribal and federal lands were surveyed. Because this was a cooperative soil survey project, agricultural and non- commercial forest lands were also included within some survey areas. After the Department of Natural Resources originally developed its geographic information system, digitized soils delineations and a few soil attributes were transferred to the system. Remaining PFLG soil attributes were added at a later time and are now available through associated lookup tables. SCS soils data on agricultural lands also have subsequently been added to this data layer. Approximately 1100 townships wholly or partially contain digitized soils data (2101 townships would provide complete coverage of the state of Washington). SOILS data are currently stored in the Polygon Attribute Table (.PAT) and INFO expansion files. COORDINATE SYSTEM: WA State Plane South Zone (5626) (N. zone converted to S. zone) COORDINATE UNITS: Feet HORIZONTAL DATUM: NAD27 PROJECTION NAME: Lambert Conformal Conic **** MAJOR CODES USED FOR SITECLASS DATA*****PFLG DATA: ITEM: PFLG.MAJ.SPEC TITLE: Potential major tree species for given soil FORMAT: INPUT OUTPUT DATA DECIMAL ARRAY ARRAY WIDTH WIDTH TYPE PLACES OCCUR. INDEX ------------------------------------------------- 3 3 C 0 0 0 CODE TABLE OR VALUE RANGE: SOIL.MAJ.SPEC.CODE DESCRIPTION: Potentially major tree species for a given soil type. The data carried by this item describes a major commercial tree species that could potentially grow on a specific soil type as identified in the Private Forest Land Grading program (PFLG). Non-tree codes are also included to map non-soil ground cover, e.g. water, gravel pits. ITEM: PFLG.SITE.INDEX TITLE: Mean site index calc.from trees on given soil FORMAT: INPUT OUTPUT DATA DECIMAL ARRAY ARRAY WIDTH WIDTH TYPE PLACES OCCUR. INDEX ------------------------------------------------- 3 3 I 0 0 0 CODE TABLE OR VALUE RANGE: 0-200 DESCRIPTION: Site index data collected for the Private Forest Land Grading soils program (PFLG). It is a designation of the quality of a forest site based on the height of of the tallest trees (dominant and co-dominant trees) in a stand at an arbitrarily chosen age. Usually the age chosen is 50 or 100 years. For example, if the average height attained by the tallest trees in a fully stocked stand at the age of 50 years is 75 feet, the site index is 75 feet. Westside site conditions are estimated by using an index age of 50 years, while eastside site conditions are estimated by using an index age of 100 years.--------------------------------------------------------------------SOILS-MAIN DATA: CODE TABLE NAME: SOIL.MAJ.SPEC.CODE ----------------------------------------------------------------------------- CODE MAP/REPORT MAP CODE DESCRIPTION LABEL SYMB --------- ------------ ---- -------------------------------------------------- AF ALPINE FIR 0 Subalpine fir DF DOUGLAS FIR 0 Douglas fir GF GRAND FIR 0 Grand fir GP GRAVEL PIT 0 Gravel pit LP LODGEPOLE PN 0 Lodgepole pine MFP MAR FOR PROD 0 Marginal forest productivity NA N/A 0 Not applicable NC NON-COMMERC 0 Non-commercial ND NO DATA 0 No data PP PONDEROSA PN 0 Ponderosa pine RA RED ALDER 0 Red alder WAT WATER 0 Water WH W HEMLOCK 0 Western hemlock WL W LARCH 0 Western larch WP W WHITE PINE 0 Western white pine ITEM: SITE.INDEX.SIDE TITLE: Indicates 100 yr or 50 yr soil site index FORMAT: INPUT OUTPUT DATA DECIMAL ARRAY ARRAY WIDTH WIDTH TYPE PLACES OCCUR. INDEX ------------------------------------------------- 1 1 C 0 0 0 CODE FILE OR VALUE RANGE: SITE.INDEX.SIDE.CODE DESCRIPTION: Code used to indicate whether 100 year or 50 year site index tables are used to calculate the site index of a soil type. Note that some site indexes for "eastside" soils are based on the 50 year index table. SITE.INDEX.SIDE Indicates 100 yr or 50 yr soil site index CODE FILE SITE.INDEX.SIDE.CODE IS NOT USED BY OTHER ITEMS CODE MAP/REPORT MAP CODE DESCRIPTION LABEL SYMB --------- ------------ ---- -------------------------------------------------- E 100 YR SITE 0 Soil site index based on 100 year table W 50 YR SITE 0 Soil site index based on 50 year table------------------------------------------------------------------

Washington State County Boundaries including Department of Natural Resources (DNR) county codes. This data is created from the WA Public Land Survey source data maintained by the DNR.WA County Boundaries Metadata

For large areas, like Washington State, download as a file geodatabase. Large data sets like this one, for the State of Washington, may exceed the limits for downloading as shape files, excel files, or KML files. For areas less than a county, you may use the map to zoom to your area and download as shape file, excel or KML, if that format is desired.General DescriptionThis layer shows only Active Roads on DNR Lands in black. This does not include abandoned, orphaned, decommisioned, or closed roads on DNR lands. Roads not on DNR Lands are of unknown status are shown in grey. Roads not on DNR lands and of unknown status may not be drivable. IncludesThe ROAD feature class stores the spatial location and attributes of the State of Washington, Department of Natural Resources’ (DNR) forest roads and of other DNR, public and selected private roads in the state. Other elements of the transportation network such as ferries, railroads, and trails are not included. ContactWashington State Department of Natural Resources (WA DNR) Engineering DivisionAlexandra WashburnAlexandra.Washburn@dnr.wa.gov Updating EffortsUpdating and editing efforts are primarily focused on roads in DNR managed state lands, adjunct roads or in areas that are covered by a published map that is undergoing an update. The original road lines were entered primarily by digitizing from paper maps, scanning by machine, or derived stereoscopically from black and white photo imagery. They are currently updated and corrected as needed, in most cases using on-line, geo-referenced orthophotography, stereo color imagery, GPS or field survey.Roads on DNR Lands should be edited frequently by division staff.Roads outside of DNR Lands are probably edited much less frequently. The group in mapping that did this, does not do it anymore.AttributesThe ROAD layer includes basic attributes that are linked to the intersection-based road segments. These attributes store information about route id, road name, road number, control, responsibility, status, access, surface, classification, and abandonment.PurposeThis layer is used to help in road infrastructure planning and maintenance, Forest Practices and Road Maintenance and Abandonment Planning (RMAP) compliance reporting, forest management, timber sales planning, and is the basis for the ROAD_ROUTE_FT layer and associated event tables that currently record these maintenance activities and road easements. It is widely used as a layer in cartographic presentations and published maps.

This image service shows historical floating kelp locations along the Washington Coast and Puget Sound. It combines nine map sheets that were originally published in 1912. They summarize field surveys from 1911-1912. The Puget Sound surveys were conducted by Rigg. The maps were scanned and georeferenced, and the image service is hosted by the Washington Department of Natural Resources.

For large areas, like Washington State, download as a file geodatabase. Large data sets like this one, for the State of Washington, may exceed the limits for downloading as shape files, excel files, or KML files. For areas less than a county, you may use the map to zoom to your area and download as shape file, excel or KML, if that format is desired.Information for SOILS data layer was derived from the Private Forest Land Grading system (PFLG) and subsequent soil surveys. PFLG was a five-year mapping program completed in 1980 for the purpose of forestland taxation. It was funded by the Washington State Department of Revenue. The Department of Natural Resources, Soil Conservation Service (now known as the Natural Resources Conservation Service or NRCS), USDA Forest Service and Washington State University conducted soil mapping cooperatively following national soil survey standards. Private lands having the potential of supporting commercial forests were surveyed along with interspersed small areas of State lands, Indian tribal lands, and federal lands. Because this was a cooperative soil survey project, agricultural and non-commercial forestlands were included within some survey areas. After the Department of Natural Resources originally developed its geographic information system, digitized soil map unit delineations and a few soil attributes were transferred to the system. Remaining PFLG soil attributes were later added and are now available through associated lookup tables. SCS (NRCS) soils data on agricultural lands also have been subsequently added to this data layer. The SOILS data layer includes approximately 1,100 townships with wholly or partially digitized soils data. State and private lands which have the potential of supporting commercial forest stands were surveyed. Some Indian tribal and federal lands were surveyed. Because this was a cooperative soils survey project, agricultural and non-commercial forestlands were also included within some survey areas. After the Department of Natural Resources originally developed its geographic information system, digitized soils delineations and a few soil attributes were transferred to the system. Remaining PFLG soil attributes were added at a later time and are now available through associated lookup tables. SCS soils data on agricultural lands also have subsequently been added to this data layer. This layer includes approximately 1, 100 townships with wholly or partially digitized soils data (2,101 townships would provide complete coverage of the state of Washington).-

The soils_sv resolves one to many relationships and as such is one of those special "DNR" spatial views ( ie. is implemented similar to a feature class). Column names may not match between SOILS_SV and the originating datasets. Use limitations

This Spatial View is available to Washingotn DNR users and those with access to the Washington State Uplands IMS site.

The following cautions only apply to one-to-many and many-to-many spatial views! Use these in the metadata only if the SV is one-to-many or many-to-many.

CAUTIONS: Area and Length Calculations: Use care when summarizing or totaling area or length calculations from spatial views with one-to-many or many-to-many relationships. One-to-many or many-to-many relationships between tabular and spatial data create multiple features in the same geometry. In other words, if there are two or more records in the table that correspond to the same feature (a single polygon, line or point), the spatial view will contain an identical copy of that feature's geometry for every corresponding record in the table. Area and length calculations should be performed carefully, to ensure they are not being exaggerated by including copies of the same feature's geometry.

Symbolizing Spatial Features:
Use care when symbolizing data in one-to-many or many-to-many spatial views. If there are multiple attributes tied to the same feature, symbolizing with a solid fill may mask other important features within the spatial view. This can be most commonly seen when symbolizing features based on a field with multiple table records.

Labeling Spatial Features: Spatial views with one-to-many or many-to-many relationships may present duplicate labels for those features with multiple table records. This is because there are multiple features in the same geometry, and each one receives a label.Soils Metadata

This dataset is used to track wildfire information, assess wildfire risks, and to plan wildfire prevention activities.

It includes information about wildfires that have occurred on lands protected by the Washington State Department of Natural Resources, 2008 to present.This dataset is used to track wildfire information, assess wildfire risks, and to plan wildfire prevention activities.

This data layer is an element of the Oregon GIS Framework. Ecoregions denote areas of general similarity in ecosystems and in the type quality, and quantity of environmental resources. This map depicts revisions and subdivisions of ecoregions that was compiled at a relatively small scale (Omernik 1987). Compilation of this map, performed at the larger 1:250,000 scale, was part of a collaborative project between the United StatesEnvironmental Protection Agency, National Health and Environmental EffectsResearch Laboratory (NHEERL)- Corvallis, OR., the U.S. Forest Service, Natural Resources Conservation Service, Washington State Department of Natural Resources and the Oregon Natural Heritage Program. The ecoregions and subregion are designed to serve as a spatial framework for environmental resource management. The most immediate needs by the states are for developing regulations, biological criteria and water quality standards, and for setting management goals for nonpoint-source pollution. Explanation of the methods used to describe the ecoregions are given in Omernik (1995), Griffith et al. (1994), and Gallan et al. (1989). This map is a draft product of one of a few regional interagency collaborative projects aimed at obtaining consensus between the EPA, the NRCS, and the USFS regarding alignments of ecological regions.

This map service includes seagrass presence from underwater surveys in the marine nearshore of greater Puget Sound. The surveys are made with underwater video as part of a monitoring program conducted by the Washington Department of Natural Resources. Attributes describe the seagrass species classified at each point along the linear survey with a nominal spacing between points of approximately 1 meter. The map service currently serves 2000-2015 data. More recent data (2000-2017) is available for download.

https://www.hydroshare.org/resource/6d8c3c46f4c8422796f28584eb9bdfaa/

We developed a new approach for mapping landslide hazard combining probabilities of landslide impact derived from a data-driven statistical approach applied to three different landslide datasets and a physically-based model of shallow landsliding. This data includes the site characteristics used in the empirical approach to derive a susceptibility index (SI) and a probability of failure, and the physically based probability derived from a previous regional study (see Related Resources). These probabilities are integrated into a weighting term that is used to adjust the physical model of landslide initiation to account for empirical evidence not captured by the infinite slope stability model alone. The data and modeling are for a 30 meter grid resolution study domain in the North Cascades National Park Complex, Washington, U.S.A (see Resource Coverage).

The data are provided as Esri ArcGIS shapefiles and rasters, as well as an example ASCII files for one raster and the header for conversion of ASCII to raster. Spatial reference for raster mapping is NAD_1983, Albers conical equal area projection. Elevation was acquired from National Elevation Dataset (NED) at 30 m grid scale; other datasets are matched to scale and location. Curvature, slope (tan theta), and aspect are derived from elevation. A wetness index, divided into five categories, is derived from elevation calculated as the natural log of the ratio of the specific catchment area to the sine of the local slope. Land use and land cover (LULC) data were acquired from USGS National Land Cover Data (NLCD) based on 2011 Landsat satellite data and grouped into eight general categories. Mapped landslides were provided by the National Park Service (NPS) from a landform mapping inventory. Source areas used to define initiation zones were identified as the upper 20% of debris avalanche landslide types. Lithology is provided by Washington State Department of Natural Resources surface geology maps and is grouped into seven categories. Other layers include the boundary of the national park used to demonstrate the model, the area included in the analysis (i.e., excluding high-elevation areas covered by glaciers, permanent snowfields, and exposed bedrock, wetlands and other water surfaces, and slopes less than 17 degrees), the empirical based SI, the calculated weight, and the probabilities of landslide activity for the empirical, physical, and weight-adjusted physical models. Additional data and information that supports this research or facilitates future research is available in Supplementary Information (See Related Resources).

This repository holds the data used in the paper: A new approach to mapping landslide hazards: a probabilistic integration of empirical and physically based models in the North Cascades of Washington, USA, published in Natural Hazards and Earth System Sciences 19, 1-19, 2019.

Geologists in Washington State use lidar to map landslides and faults, to study volcanoes, glaciers and rivers, and to model tsunami inundation. This narrative features over 50 intriguing lidar images that help illustrate how geologists in Washington are using this fascinating technology to study the landscape.

In June 1995, the Columbia River Estuary Study Taskforce (CREST) acquired 295 true color aerial photographs (1:12,000) of Willapa Bay, Washington, from the State of Washington Department of Transportation (WDOT), suitable for the interpretation of submerged rooted aquatic vascular plant populations. In August 1995, field surveys were conducted by a team composed of staff from Oregon State University, CREST, and the Washington Department of Natural Resources, for spectral signature development and verification as well as habitat observation. The submerged plant populations were interpreted and mapped from the photographs and transferred onto State of Washington 1:12,000 Orthophoto maps (USGS 7.5' quadrangle). The interpretations were digitized into a geographic information system (GIS) for the creation of a habitat polygon map. All interpretation, digitization and photography acquisition were according to stringent parameters detailed in the Coastal Change Analysis Program (C-CAP) Protocol (NMFS Technical Document 123). Two datasets were used as ancillary information to complement the interpreted habitat polygons. In 1996, color aerial videography was obtained from WDOT for post mapping verification and accuracy assessments. Marine Resources Consultants, Inc. and the University of Washington collected videography from 29 underwater transects to verify the deep-water edge of selected seagrass beds in the southern portion of the bay. The date, time, geographic coordinates and depth were updated every 2 to 4 seconds and recorded directly on the videotape images. Latitude and longitude were provided by a differentially corrected global positioning system (GPS). The initial presence/absence map of SAV produced by CREST was later segmented by depth to discriminate between two very different seagrass communities and support field accuracy assessment. Final field verification of the data by personnel from CREST and the NOAA Office for Coastal Management was conducted in the Summer of 1997. The benthic data is classified according to the System for Classification of Habitats in Estuarine and Marine Environments (SCHEME). This system is fully described in "Development of a System for Classification of Habitats in Estuarine and Marine Environments (SCHEME) for Florida, Report to U.S. EPA - Gulf of Mexico Program, Florida Fish and Wildlife Conservation Commission, Florida Marine Research Institute. Review Draft 12/04/02." Original contact information: Contact Org: NOAA Office for Coastal Management Phone: 843-740-1202 Email: coastal.info@noaa.gov

For large areas, like Washington State, download as a file geodatabase. Large data sets like this one, for the State of Washington, may exceed the limits for downloading as shape files, excel files, or KML files. For areas less than a county, you may use the map to zoom to your area and download as shape file, excel or KML, if that format is desired.Abstract:The FP_GIS_FPA_ shapefiles represents Forest Practices Application/Notification (FPA/N) harvest unit boundaries, FPA/N specific tabular data, FPA/N specific Office Checklist tabular data and FPA/N specific stakeholder tabular data. An FPA/N may include harvest activity, forest road activity and aerial chemical spray activity. FPA/N harvest units include timber harvest and salvage sites. FPA/N harvest unit polygons are captured from FPA/N Activity Maps. Attribute data is captured from the FPA/N and associated documents, and may be compiled from many sources.Supplemental_Information: From July 1996 through October 2002, FPSPOLY data was collected in Oracle using the Mapping and Planning System (MAPS). From October 28, 2002 to July 10, 2009, data was collected in Oracle using the Forest Practices Application Review System (FPARS). From July 13, 2009, to the present data is collected in dotNET using FPARSv3.Washington State is divided into two State Plane Zones, north and south. For this data set, north zone data coordinates have been converted to south zone coordinates.

For large areas, like Washington State, download as a file geodatabase. Large data sets like this one, for the State of Washington, may exceed the limits for downloading as shape files, excel files, or KML files. For areas less than a county, you may use the map to zoom to your area and download as shape file, excel or KML, if that format is desired.The Boundary layer consists of lines representing the boundaries of Parcels and Legal Descriptions. (See the metadata for those two layers.) Boundary lines are the places that are surveyed in order to delimit the extent of Parcels and Legal Descriptions. The character and accuracy of Boundary locations is held in the attributes of the Points that are at the ends of Boundary lines. All the boundaries of Parcels and Legal Descriptions are covered by a Boundary line. Currently the Boundary layer has little functionality. The only distinction it makes is between upland boundaries and shorelines. In the future Boundary lines will have a richer set of attributes in order to accommodate cartographic needs to distinguish between types of boundaries.WA Boundaries Metadata

PLS Township. In the Public Land Survey System a Township refers to a unit of land, that is nominally six miles on a side, usually containing 36 sections, some of which are designed to correct for the convergence of meridians or range lines, with boundaries conforming to meridians and parallels within established limits.WA Public Land Survey Townships MetadataClick for downloadService URL: https://fortress.wa.gov/dnr/arcgisext/weba_ext_prod4/rest/services/Cadastre/WADNR_Cadastre_OpenData/MapServer/8

A six-year development moratorium is imposed on a parcel as a result of one of two actions: Approval by the Washington State Department of Natural Resources (DNR) of a Class II or Class III forest practices permit where no associated Conversion Option Harvest Plan (COHP) has been approved by Pierce County. This data includes historic as well as active moratoriums so please read the metadata for additional information (https://matterhorn.piercecountywa.gov/GISmetadata/pdbplan_forest_moratorium.html). Any use or data download constitutes acceptance of the Terms of Use (https://matterhorn.piercecountywa.gov/disclaimer/PierceCountyGISDataTermsofUse.pdf).

The Overwater Structures in Marine Waters of Washington State is made up of thousands of digitized overwater structures such as docks, bridges, floats, structural support fill, and other structures such as floating homes. Structures were digitized from three (3) foot/one (1) meter resolution color orthophotos taken between 2002 to 2006 by either the Washington State Department of Natural Resources (Washington DNR) or the United States Department of Agriculture National Agriculture Imagery Program (NAIP). The data layer is statewide and includes all marine areas classified as definitely or probably navigable by the Revised Code of Washington (RCW 90.56.010(15)), as well as a limited set of areas classified as possibly navigable. The datatable has been standardized so that overwater structures can be looked up based on structure type, structure size, waterbody name, township, county, or waterbody navigability. NOTE: While Washington DNR is willing to share the data with other entities, there are currently no plans to QA/QC the data or maintain it.To map and quantify the extent of overwater structures on and adjacent to state-owned aquatic lands as part of the take analysis for a proposed State-owned Aquatic Lands Habitat Conservation Plan (HCP).

DOWNLOAD RASTER IMAGERYRS-FRIS Version 5.2 is a remote-sensing based forest inventory for WA DNR State Trust Lands.Predictions are derived from three-dimensional photogrammetric point cloud data (DAP), field measurements, and statistical methods. RS-FRIS 5.2 was constructed using remote sensing data collected in 2021 and 2022, and incorporates additional depletions for selected harvests completed after the source imagery was acquired. RS-FRIS combined origin year rasters report age and origin year at 0.1 acre resolution using a hierarchy of data sources.

This dataset describes Tribal Lands in Washington State. Included are areas where the tribes ceded title to their historic areas of use to the U.S. Government through various treaties enacted during the later half of the 19th century. Boundary lines have been digitized from a variety of digital data sources including 1:100,000 streams for boundaries described in treaties as following a stream or river, 1:24k Water Resource Inventory Areas (WRIA), Watershed Administrative Unit (WAU) and Hydrologic Unit Code (HUC) boundaries for boundaries referred to in treaties as 'divide', 'summit' or 'between the waters of', 1:100,000 Major Public Lands (for current reservation areas), 10 meter DEM and 7.5 minute USGS digital Quad maps (to define ridgelines and 'divide' where WRIA, WAU or HUC boundaries don't exist) and NAIP orthophoto imagery (to get a feel for what a questionable boundary area actually looks like today). Ceded Land treaty areas are based on treaty language and US Government decrees dated 1854-1892. Natural geographic barriers such as streams and ridge lines were used where described or eluded to in treaty descriptions. Coordinate based latitude/longitude boundary lines were used in some Central Washington areas where described. References to general compass directions were followed using natural barriers such as watershed boundaries or drainages wherever possible. Some treaty boundary descriptions were found to be inadequate, inaccurate and in some cases misleading in nature in describing what should have been a natural boundary or even a coordinate based solution to a property description. Some of these boundary areas open to interpretation are discussed below in the Supplemental Information based on the language and definite boundaries of other treaty areas. Ceded areas in Oregon and Idaho from the Camp Stevens Treaties have been included in this dataset. The Washington State Department of Ecology makes no warranty for the accuracy of this material and is not libel for its use. Ecology will maintain this data layer for its own use and distribute to all interested parties. Updates, corrections and documentation should be submitted to the contact person. This data may or may not reflect the most current tribal reservation areas. Tribal reservations are updated regularly in the Major Public Lands (MPL) layer maintained by Washington State Department of Natural Resources. This GIS data is draft information and a work in progress and should be used only as a generalized visual guide to 150 year old treaties of limited content.