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).

NOAA's National Geophysical Data Center (NGDC) is building high-resolution digital elevation models (DEMs) for select U.S. coastal regions. These integrated bathymetric-topographic DEMs are used to support tsunami forecasting and warning efforts at the NOAA Center for Tsunami Research, Pacific Marine Environmental Laboratory (PMEL). The DEMs are part of the tsunami forecast system SIFT (Short-term Inundation Forecasting for Tsunamis) currently being developed by PMEL for the NOAA Tsunami Warning Centers, and are used in the MOST (Method of Splitting Tsunami) model developed by PMEL to simulate tsunami generation, propagation, and inundation. Bathymetric, topographic, and shoreline data used in DEM compilation are obtained from various sources, including NGDC, the U.S. National Ocean Service (NOS), the U.S. Geological Survey (USGS), the U.S. Army Corps of Engineers (USACE), the Federal Emergency Management Agency (FEMA), and other federal, state, and local government agencies, academic institutions, and private companies. DEMs are referenced to the vertical tidal datum of Mean High Water (MHW) and horizontal datum of World Geodetic System 1984 (WGS84). Grid spacings for the DEMs range from 1/3 arc-second (~10 meters) to 3 arc-seconds (~90 meters).

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.

These files contain rasterized topobathy lidar elevations generated from data collected by the Coastal Zone Mapping and Imaging Lidar (CZMIL) system.CZMIL integrates a lidar sensor with simultaneous topographic and bathymetric capabilities, a digital camera and a hyperspectral imager on a single remote sensing platform for use in coastal mapping and charting activities. Native lidar data is not...

In 2021, the USGS 3D Elevation Program (3DEP) funded the collection of topo-bathymetric lidar (sometimes referred to as "green lidar") on the McKenzie River, Oregon. As part of this acquisition, lidar data were collected starting on the McKenzie River below Trail Bridge Reservoir and extending downstream roughly 125 km to its confluence with the Willamette River. Bathymetric lidar produced measurements of river bathymetry in areas of the McKenzie River channel that were generally less than 3 m in depth but did not produce measurements in deeper areas of the river. To fill the gaps in the topo-bathymetric lidar dataset (commonly referred to as "voids"), the U.S. Army Corps of Engineers funded USGS to collect boat-based sonar data and integrate the sonar and lidar data into a single digital elevation model (DEM). The datasets within this data release includes a) the final DEM of the river channel incorporating sonar and lidar data and b) underlying boat-based sonar data used to inte ...

Original Data Product: These are Digital Elevation Model (DEM) data for Oregon as part of the required deliverables for the OR_NRCS_USGS_2019_D19 project.

Geographic Extent: OR_NRCSUSGS_1 (Work Unit 183736) - covering approximately 1285 total square miles in Harney County OR_NRCSUSGS_2 (Work Unit 205799): covering approximately 668 square miles in Crook, Grant, Harney, and Wheeler countie...

Bathymetric data were collected by the U.S. Geological Survey (USGS) in 2019 for approximately 2.2 square kilometers of the Nehalem Bay between the Highway 101 bridge and Nehalem Bay State Park (about 6.5 kilometers) near Wheeler, Oregon. The data were collected using a Trimble R8 Global Navigation Satellite System (GNSS) receiver combined with a Seafloor Systems Hydrolite TM single-beam 200 kilohertz echosounder mounted to a motorized boat. GPS positions received corrections in real time from the Oregon Real-Time GNSS Network. Sound velocity profiles were recorded at 19 different locations evenly spaced throughout the survey area using an AML Oceanographic Base X2 100 meter sound velocity profiler in order to quantify the spatial and temporal variation in sound velocity. Data was collected using the UTM Zone 10 North (meters) (NAD83[2011]) coordinate system, with elevations relative to NAVD88 using Geoid 12B. Data was post-processed to remove spurious data points. Raw depths were corrected using the mean value of the recorded sound velocity profiles, then converted to bed elevations. The mean vertical and horizontal uncertainties are 0.04145 and 0.00945 meters, respectively. This product is a GeoTiff raster digital elevation model (DEM) based on the bed elevation data. Bed elevations were used to create a triangulated irregular network (TIN) surface which was edited by adding lines delineating breaks in slope, then converted into a raster with a 20-meter cell size.

NOAA's National Centers for Environmental Information (NCEI) is building high-resolution digital elevation models (DEMs) for select U.S. coastal regions. These integrated bathymetric-topographic DEMs are used to support individual coastal States as part of the Pacific Marine Environmental Laboratory's (PMEL) efforts to support NOAA's tsunami forecast system and for tsunami inundation modeling, improve community preparedness and hazard mitigation. Bathymetric, topographic, and shoreline data used in DEM compilation are obtained from various sources including: NOAA; the U.S. Geological Survey (USGS); and other federal, state, and local government agencies, academic institutions, and private companies. DEMs are referenced to the vertical datum of MHW and horizontal datum of World Geodetic System 1984 geographic (WGS 84). Grid spacing for the DEM is 1/3 arc-second (~10 meters).

GeoTerra, Inc. was selected by Oregon Department of Forestry to provide Lidar remote sensing data including LAZ files of the classified Lidar points and surface models for approximately 591 square miles over five (5) sites in Northwest Oregon. Airborne Lidar mapping technology provides 3D information for the surface of the Earth which includes terrain surface models, vegetation characteristics...

Elevation in the western United States obtained from the National Elevation Dataset. Data was converted from float point to integer format and resampled from 30m resolution to 90m resolution.

description: The dataset encompasses 2209.5 square miles in southwestern Oregon. The highest hit digital surface models (DSM) represent the earth's surface with all vegetation and human-made structures included. The highest hit DSMs were derived from lidar data using TIN processing of the all-return point cloud. The bare earth digital elevation model (DEM) represents the earth's surface with all vegetation and human-made structures removed. The bare earth DEMs were derived from lidar data using TIN processing of the ground point returns. The DSM and DEM grid cell size is 3 feet. The projection is Oregon Statewide Lambert Conformal Conic, units are in International Feet. The horizontal datum is NAD 83 (2011) and vertical datum is NAVD88 (Geoid 12A). Some elevation values have been interpolated across areas in the models where there is no elevation data (e.g. over water, over dense vegetation). Watershed Sciences, Inc. collected the lidar and created this data set for the Oregon Department of Geology and Mineral Industries (DOGAMI). This data set was ingested into the Digital Coast Data Access Viewer. If obtained through that system, the projection and datums may have been changed by user request. See the spatial reference section.; abstract: The dataset encompasses 2209.5 square miles in southwestern Oregon. The highest hit digital surface models (DSM) represent the earth's surface with all vegetation and human-made structures included. The highest hit DSMs were derived from lidar data using TIN processing of the all-return point cloud. The bare earth digital elevation model (DEM) represents the earth's surface with all vegetation and human-made structures removed. The bare earth DEMs were derived from lidar data using TIN processing of the ground point returns. The DSM and DEM grid cell size is 3 feet. The projection is Oregon Statewide Lambert Conformal Conic, units are in International Feet. The horizontal datum is NAD 83 (2011) and vertical datum is NAVD88 (Geoid 12A). Some elevation values have been interpolated across areas in the models where there is no elevation data (e.g. over water, over dense vegetation). Watershed Sciences, Inc. collected the lidar and created this data set for the Oregon Department of Geology and Mineral Industries (DOGAMI). This data set was ingested into the Digital Coast Data Access Viewer. If obtained through that system, the projection and datums may have been changed by user request. See the spatial reference section.

description: WSI has collected Light Detection and Ranging (LiDAR) data of the Oregon Central Coast Study Area for the Oregon Department of Geology and Mineral Industries (DOGAMI). The Total Central Coast area of interest (AOI) totals 1,230 square miles (787,377 acres) and the total area flown (TAF) covers 1,260 square miles (806,579 acres). The TAF acreage is greater than the original AOI acreage due to buffering and flight planning optimization (Figure 1.1 below). Central Coast data were delivered in: OGIC (HARN): Projection: Oregon Statewide Lambert Conformal Conic; horizontal and vertical datum: NAD83 (HARN)/NAVD88 (Geoid03); units: International Feet. This metadata was created for the bare earth digital elevation models.; abstract: WSI has collected Light Detection and Ranging (LiDAR) data of the Oregon Central Coast Study Area for the Oregon Department of Geology and Mineral Industries (DOGAMI). The Total Central Coast area of interest (AOI) totals 1,230 square miles (787,377 acres) and the total area flown (TAF) covers 1,260 square miles (806,579 acres). The TAF acreage is greater than the original AOI acreage due to buffering and flight planning optimization (Figure 1.1 below). Central Coast data were delivered in: OGIC (HARN): Projection: Oregon Statewide Lambert Conformal Conic; horizontal and vertical datum: NAD83 (HARN)/NAVD88 (Geoid03); units: International Feet. This metadata was created for the bare earth digital elevation models.

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.

description: Quantum Spatial collected Light Detection and Ranging (LiDAR) data for the Oregon LiDAR Consortium (OLC) Upper Rogue 2015 study area. The collection of high resolution geographic data is part of an ongoing pursuit to amass a library of information accessible to government agencies as well as the general public. LiDAR data acquisition occurred between March 12 and October 12, 2015 and covered 1,397,140 acres. Settings for LiDAR data capture produced an average resolution of at least eight pulses per square meter. Final products created include lidar point cloud data, three foot digital elevation models of highest hit and bare earth ground models, 1.5 foot intensity rasters, study area vector shapes, and corresponding statistical data. Final deliverables were projected in Oregon Statewide Lambert Conformal Conic. This metadata was created for the bare earth digital elevation models.; abstract: Quantum Spatial collected Light Detection and Ranging (LiDAR) data for the Oregon LiDAR Consortium (OLC) Upper Rogue 2015 study area. The collection of high resolution geographic data is part of an ongoing pursuit to amass a library of information accessible to government agencies as well as the general public. LiDAR data acquisition occurred between March 12 and October 12, 2015 and covered 1,397,140 acres. Settings for LiDAR data capture produced an average resolution of at least eight pulses per square meter. Final products created include lidar point cloud data, three foot digital elevation models of highest hit and bare earth ground models, 1.5 foot intensity rasters, study area vector shapes, and corresponding statistical data. Final deliverables were projected in Oregon Statewide Lambert Conformal Conic. This metadata was created for the bare earth digital elevation models.

description: Watershed Sciences, Inc. (WSI) collected Light Detection and Ranging (LiDAR) data of the Oregon Keno Study Area for the Oregon Department of Geology and Mineral Industries (DOGAMI). The Oregon LiDAR Consortium's (OLC) Keno project area encompasses approximately 200,000 acres in Klamath County near the Oregon-California state border and surrounds a portion of the Klamath River. The data were collected between May 19 - August 17, 2012 with a resolution of eight pulses per square meter. The bare earth Digital Elevation Models (DEMs) are at a 3 ft grid cell size. In addition to the bare earth Digital Elevation Models (DEMs), the lidar point data, are also available. These data are available for custom download here: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=6354; abstract: Watershed Sciences, Inc. (WSI) collected Light Detection and Ranging (LiDAR) data of the Oregon Keno Study Area for the Oregon Department of Geology and Mineral Industries (DOGAMI). The Oregon LiDAR Consortium's (OLC) Keno project area encompasses approximately 200,000 acres in Klamath County near the Oregon-California state border and surrounds a portion of the Klamath River. The data were collected between May 19 - August 17, 2012 with a resolution of eight pulses per square meter. The bare earth Digital Elevation Models (DEMs) are at a 3 ft grid cell size. In addition to the bare earth Digital Elevation Models (DEMs), the lidar point data, are also available. These data are available for custom download here: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=6354

The dataset encompasses 1221.6 square miles in portions of the greater Portland Metro area in the state of Oregon. The highest hit digital surface models (DSM) represent the earth's surface with all vegetation and human-made structures included. The highest hit DSMs were derived from lidar data using TIN processing of the all-return point cloud. The bare earth digital elevation model (DEM) represents the earth's surface with all vegetation and human-made structures removed. The bare earth DEMs were derived from lidar data using TIN processing of the ground point returns. The DSM and DEM grid cell size is 3 feet. The projection was originally Oregon Statewide Lambert Conformal Conic, units are in International Feet. The horizontal datum is NAD 83 (2011) and the vertical datum was NAVD88 (Geoid 12A). The projection and datum have been changed for ingestion in the NOAA Digital Coast. Watershed Sciences, Inc. collected the lidar and created this data set for the Oregon Department of Geology and Mineral Industries (DOGAMI). The data received from DOGAMI was missing quad 45123E2. A replacement has been requested from DOGAMI.

This is a tiled collection of the 3D Elevation Program (3DEP) and is one meter resolution. The 3DEP data holdings serve as the elevation layer of The National Map, and provide foundational elevation information for earth science studies and mapping applications in the United States. Scientists and resource managers use 3DEP data for hydrologic modeling, resource monitoring, mapping and visualization, and many other applications. The elevations in this DEM represent the topographic bare-earth surface. USGS standard one-meter DEMs are produced exclusively from high resolution light detection and ranging (lidar) source data of one-meter or higher resolution. One-meter DEM surfaces are seamless within collection projects, but, not necessarily seamless across projects. The spatial reference used for tiles of the one-meter DEM within the conterminous United States (CONUS) is Universal Transverse Mercator (UTM) in units of meters, and in conformance with the North American Datum of 1983 ...

The research was conducted at nine tidal marshes in coastal estuaries spanning the Washington and Oregon coastlines from Padilla Bay in northern Washington to Bandon located at the mouth of the Coquille River in southern Oregon. We performed bathymetric surveys using a shallow-water echo-sounding system comprised of an acoustic profiler, Leica Viva RTK GPS, and laptop computer mounted on a shallow-draft, portable flat-bottom boat. The RTK GPS enabled high resolution elevations of the water surface. The rover positions were received from the Leica Smartnet system (www.lecia-geosystems.com) or base station and referenced to the same bench mark used in the elevation surveys. We mounted a variable frequency transducer on the front of the boat and connected it to the sounder; the sounder worked in areas of >10 cm of water. We recorded twenty depth readings and one GPS location each second along transects spaced 100 m apart perpendicular to the nearby salt marsh. We calibrated the system before use with a bar-check plate and adjusted the sound velocity for salinity and temperature differences. The bar-check plate was suspended below the transducer at a known depth that was verified against the transducer readings. We synthesized the bathymetry data to create a digital elevation model (DEM) of the nearshore regions at Port Susan, Skokomish, Nisqually, Grays Harbor, Willapa, and Bull Island using ArcGIS 10.2.1 Spatial Analyst with exponential ordinary kriging methods (5 x 5 m cell size). We removed portions of bathymetry data that overlapped with elevation surveys conducted on the tidal marsh. We present elevation data as local orthometric heights (NAVD88). At Padilla we mapped the nearshore area using the methodologies outlined in the project report as the dense eelgrass beds would have increased the error in acoustic measurements

description: WSI has collected Light Detection and Ranging (LiDAR) data of the Oregon West Metro Study Area for the Oregon Department of Geology and Mineral Industries (DOGAMI). The Oregon LiDAR Consortium's West Metro project area encompasses approximately 100,000 acres in Washington, Multnomah, and Clackamas County, Oregon. The study area includes the Beaverton, Hillsboro, and Forest Grove metro areas. Data were delivered in: Oregon State Plane North; horizontal and vertical datum: NAD83 (2011)/NAVD88 (Geoid12a); units: International Feet. Between December 28th, 2012 and January 4th, 2013, WSI employed remote-sensing lasers in order to obtain a total area flown of 99,684 acres of which 96,543 acres comprise the area of interest. Settings for LiDAR data capture produced an average resolution of at least eight pulses per square meter. In addition to LiDAR survey, OLC West Metro included high resolution aerial photography was acquired for the entire study area. This metadata was created for the bare earth digital elevation models.; abstract: WSI has collected Light Detection and Ranging (LiDAR) data of the Oregon West Metro Study Area for the Oregon Department of Geology and Mineral Industries (DOGAMI). The Oregon LiDAR Consortium's West Metro project area encompasses approximately 100,000 acres in Washington, Multnomah, and Clackamas County, Oregon. The study area includes the Beaverton, Hillsboro, and Forest Grove metro areas. Data were delivered in: Oregon State Plane North; horizontal and vertical datum: NAD83 (2011)/NAVD88 (Geoid12a); units: International Feet. Between December 28th, 2012 and January 4th, 2013, WSI employed remote-sensing lasers in order to obtain a total area flown of 99,684 acres of which 96,543 acres comprise the area of interest. Settings for LiDAR data capture produced an average resolution of at least eight pulses per square meter. In addition to LiDAR survey, OLC West Metro included high resolution aerial photography was acquired for the entire study area. This metadata was created for the bare earth digital elevation models.

The 6-second Central Coastal Oregon Elevation Grid provides bathymetric data in ASCII raster format of 6-second resolution in geographic coordinates. This grid is strictly for tsunami inundation modelingA map service showing the location and coverage of land and seafloor digital elevation models (DEMs) available from NOAA's National Geophysical Data Center. NOAA's National Geophysical Data Center (NGDC) builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. They can be used for modeling of coastal processes (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness. Layers available in the map service: Layers 1-4: DEMs by Category (includes various DEMs, both hosted at NCEI, and elsewhere on the web); Layers 6-11: NGDC DEM Projects (DEMs hosted at NCEI, color-coded by project); Layer 12: All NCEI Bathymetry DEMs (All bathymetry or bathy-topo DEMs hosted at NCEI).