2022 ODF Lidar DEM: Western Wildfires, OR (Yaquina, Beachie Creek/Lionshead, Western Lane, Sun Pass)
Data Set (DS) | OCM Partners (OCMP)GUID: gov.noaa.nmfs.inport:78459 | Updated: October 21, 2025 | Published / External
-
View As
- Full List View
- EXPORTS
- InPort XML
- ISO 19115
- WAF Files
- View in Hierarchy
Summary
Short Citation
OCM Partners, 2026: 2022 ODF Lidar DEM: Western Wildfires, OR (Yaquina, Beachie Creek/Lionshead, Western Lane, Sun Pass), https://www.fisheries.noaa.gov/inport/item/78459.
Full Citation Examples
Original Product: Raster data of a hydroflattened Digital Elevation Model (DEM) data covering the Western Wildfire Unit 1 project areas.
Original Geographic Extent: This dataset and derived products encompass a total area of 689,385 acres located in Oregon Counties of Marion, Linn, Clackamas, Lane, Lincoln, Benton, Polk, and Klamath.
Original Dataset Description: Lidar flight line swaths were processed to create 3,665 classified files delineated in 3000ft x 3000ft tiles. Class 2 (ground, unflagged) lidar points in conjunction with the hydro breaklines were used to create 1-foot resolution hydro-flattened Raster DEMs, delineated in 3,665 tiles of 3000ft x 3000ft. Non-Vegetated Vertical Accuracy (NVA) was assessed using 177 check points located on bare earth in clear, unobstructed areas. Vegetated Vertical Accuracy (VVA) was assessed using 77 check points in tall Grass, forest, and shrub landcover types.
Conditions at time of acquisition: free of snow, smoke, fog and cloud cover.
This metadata record supports the data entry in the NOAA Digital Coast Data Access Viewer (DAV). For this data set, the DAV is leveraging the GeoTIFF files hosted by USGS on Amazon Web Services.
The purpose of the lidar data was to produce a high accuracy 3D dataset that meets all necessary standards laid out by the 3D Elevation Program and the Oregon Department of Forestry contract. The Lidar point cloud data was used to create classified lidar LAS files, hydro-flattened DEMs, and highest hit surface models, within the study area.
Data Access & Downloads
-
Format: Not Applicable
Create custom data files by choosing data area, map projection, file format, etc. A new metadata will be produced to reflect your request using this record as a base.
-
GeoTIFF
Bulk download of data files in the original coordinate system.
None
Users should be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations.
Controlled Theme Keywords
DIGITAL ELEVATION/TERRAIN MODEL (DEM), elevation, TERRAIN ELEVATION
URLs
-
The Data Access Viewer (DAV) allows a user to search for and download elevation, imagery, and land cover data for the coastal U.S. and its territories. The data, hosted by the NOAA Office for Coastal Management, can be customized and requested for free download through a checkout interface. An email provides a link to the customized data, while the original data set is available through a link within the viewer.
-
Link to the lidar report.
-
Link to the USGS Project Report that provides information about the project, vertical accuracy results, and the point classes and sensors used.
-
Link to the reports, breaklines, metadata, and spatial metadata.
-
Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud.
-
Link to view the point cloud, using the Entwine Point Tile (EPT) format, in the 3D Potree viewer.
Child Items
No Child Items for this record.
Contact Information
Point of Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202
https://coast.noaa.gov
Metadata Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202
https://coast.noaa.gov
Extents
-123.87° W,
-121.77° E,
45.04° N,
42.7° S
2022-08-02 - 2022-09-07
Item Identification
| Title: | 2022 ODF Lidar DEM: Western Wildfires, OR (Yaquina, Beachie Creek/Lionshead, Western Lane, Sun Pass) |
|---|---|
| Short Name: | or2022_wwldfires_yaq_dem_m13738 |
| Status: | Completed |
| Creation Date: | 2022 |
| Publication Date: | 2025 |
| Abstract: |
Original Product: Raster data of a hydroflattened Digital Elevation Model (DEM) data covering the Western Wildfire Unit 1 project areas. Original Geographic Extent: This dataset and derived products encompass a total area of 689,385 acres located in Oregon Counties of Marion, Linn, Clackamas, Lane, Lincoln, Benton, Polk, and Klamath. Original Dataset Description: Lidar flight line swaths were processed to create 3,665 classified files delineated in 3000ft x 3000ft tiles. Class 2 (ground, unflagged) lidar points in conjunction with the hydro breaklines were used to create 1-foot resolution hydro-flattened Raster DEMs, delineated in 3,665 tiles of 3000ft x 3000ft. Non-Vegetated Vertical Accuracy (NVA) was assessed using 177 check points located on bare earth in clear, unobstructed areas. Vegetated Vertical Accuracy (VVA) was assessed using 77 check points in tall Grass, forest, and shrub landcover types. Conditions at time of acquisition: free of snow, smoke, fog and cloud cover. This metadata record supports the data entry in the NOAA Digital Coast Data Access Viewer (DAV). For this data set, the DAV is leveraging the GeoTIFF files hosted by USGS on Amazon Web Services. |
| Purpose: |
The purpose of the lidar data was to produce a high accuracy 3D dataset that meets all necessary standards laid out by the 3D Elevation Program and the Oregon Department of Forestry contract. The Lidar point cloud data was used to create classified lidar LAS files, hydro-flattened DEMs, and highest hit surface models, within the study area. |
| Supplemental Information: |
Raster File Type = TIFF; Bit Depth/Pixel Type = 32-bit floating; Raster Cell Size = 1-foot; Interpolation or Resampling Technique = Triangulated Irregular Network; Required Vertical Accuracy is 19.6 cm at 95% Confidence Level for NVA or better. |
Keywords
Theme Keywords
| Thesaurus | Keyword |
|---|---|
| Global Change Master Directory (GCMD) Science Keywords |
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
|
| Global Change Master Directory (GCMD) Science Keywords |
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > DIGITAL ELEVATION/TERRAIN MODEL (DEM)
|
| ISO 19115 Topic Category |
elevation
|
Spatial Keywords
| Thesaurus | Keyword |
|---|---|
| Global Change Master Directory (GCMD) Location Keywords |
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
|
| Global Change Master Directory (GCMD) Location Keywords |
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > OREGON
|
| Global Change Master Directory (GCMD) Location Keywords |
VERTICAL LOCATION > LAND SURFACE
|
Instrument Keywords
| Thesaurus | Keyword |
|---|---|
| Global Change Master Directory (GCMD) Instrument Keywords |
LIDAR > Light Detection and Ranging
|
Platform Keywords
| Thesaurus | Keyword |
|---|---|
| Global Change Master Directory (GCMD) Platform Keywords |
Airplane > Airplane
|
Physical Location
| Organization: | Office for Coastal Management |
|---|---|
| City: | Charleston |
| State/Province: | SC |
Data Set Information
| Data Set Scope Code: | Data Set |
|---|---|
| Data Set Type: | Elevation |
| Maintenance Frequency: | None Planned |
| Data Presentation Form: | Model (digital) |
| Distribution Liability: |
Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners. |
| Data Set Credit: | Oregon Dept. of Forestry (ODF), USGS, GeoTerra, Inc. |
Support Roles
Data Steward
| Date Effective From: | 2025 |
|---|---|
| Date Effective To: | |
| Contact (Organization): | NOAA Office for Coastal Management (NOAA/OCM) |
| Address: |
2234 South Hobson Ave Charleston, SC 29405-2413 |
| Email Address: | coastal.info@noaa.gov |
| Phone: | (843) 740-1202 |
| URL: | https://coast.noaa.gov |
Distributor
| Date Effective From: | 2025 |
|---|---|
| Date Effective To: | |
| Contact (Organization): | NOAA Office for Coastal Management (NOAA/OCM) |
| Address: |
2234 South Hobson Ave Charleston, SC 29405-2413 |
| Email Address: | coastal.info@noaa.gov |
| Phone: | (843) 740-1202 |
| URL: | https://coast.noaa.gov |
Distributor
| Date Effective From: | 2025 |
|---|---|
| Date Effective To: | |
| Contact (Organization): | U.S. Geological Survey |
| Address: |
12201 Sunrise Valley Drive Reston, VA 20191 USA |
| URL: | USGS Home |
Metadata Contact
| Date Effective From: | 2025 |
|---|---|
| Date Effective To: | |
| Contact (Organization): | NOAA Office for Coastal Management (NOAA/OCM) |
| Address: |
2234 South Hobson Ave Charleston, SC 29405-2413 |
| Email Address: | coastal.info@noaa.gov |
| Phone: | (843) 740-1202 |
| URL: | https://coast.noaa.gov |
Point of Contact
| Date Effective From: | 2025 |
|---|---|
| Date Effective To: | |
| Contact (Organization): | NOAA Office for Coastal Management (NOAA/OCM) |
| Address: |
2234 South Hobson Ave Charleston, SC 29405-2413 |
| Email Address: | coastal.info@noaa.gov |
| Phone: | (843) 740-1202 |
| URL: | https://coast.noaa.gov |
Extents
| Currentness Reference: | Ground Condition |
|---|
Extent Group 1
Extent Group 1 / Geographic Area 1
| W° Bound: | -123.87 | |
|---|---|---|
| E° Bound: | -121.77 | |
| N° Bound: | 45.04 | |
| S° Bound: | 42.7 |
Extent Group 1 / Time Frame 1
| Time Frame Type: | Range |
|---|---|
| Start: | 2022-08-02 |
| End: | 2022-09-07 |
Spatial Information
Spatial Representation
Representations Used
| Grid: | Yes |
|---|---|
| Vector: | No |
| Text / Table: | No |
| TIN: | No |
| Stereo Model: | No |
| Video: | No |
Reference Systems
Reference System 1
Coordinate Reference System |
|||||||||||||||||||||||||||||||||||||||||
|
|||||||||||||||||||||||||||||||||||||||||
Reference System 2
Coordinate Reference System |
|||||||||||||||||||||||
|
|||||||||||||||||||||||
Access Information
| Data License: | Universal (CC0 1.0) Public Domain Dedication |
|---|---|
| Data License URL: | https://creativecommons.org/publicdomain/zero/1.0/ |
| Data License Statement: |
To the extent possible under law, the U.S. Government has waived all copyright and related or neighboring rights to this dataset. |
| Security Class: | Unclassified |
| Data Access Procedure: |
Data is available online for bulk and custom downloads. |
| Data Access Constraints: |
None |
| Data Use Constraints: |
Users should be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations. |
Distribution Information
Distribution 1
| Download URL: | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=13738/details/13738 |
|---|---|
| Distributor: | NOAA Office for Coastal Management (NOAA/OCM) (2025 - Present) |
| File Name: | Customized Download |
| Description: |
Create custom data files by choosing data area, map projection, file format, etc. A new metadata will be produced to reflect your request using this record as a base. |
| Distribution Format: | Not Applicable |
| Compression: | Zip |
Distribution 2
| Download URL: | https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/OR_WesternWildfires_A22/OR_WWildfires_1_A22/TIFF/ |
|---|---|
| Distributor: | U.S. Geological Survey (2025 - Present) |
| File Name: | Bulk Download |
| Description: |
Bulk download of data files in the original coordinate system. |
| Distribution Format: | GeoTIFF |
URLs
URL 1
| URL: | https://coast.noaa.gov/dataviewer/ |
|---|---|
| Name: | NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV) |
| URL Type: |
Online Resource
|
| File Resource Format: | HTML |
| Description: |
The Data Access Viewer (DAV) allows a user to search for and download elevation, imagery, and land cover data for the coastal U.S. and its territories. The data, hosted by the NOAA Office for Coastal Management, can be customized and requested for free download through a checkout interface. An email provides a link to the customized data, while the original data set is available through a link within the viewer. |
URL 2
| URL: | https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/OR_WesternWildfires_A22/OR_WWildfires_1_A22/reports/Lidar%20Mapping%20Report/OR_WesternWildfires_1_A22_Lidar_Technical%20Report.pdf |
|---|---|
| Name: | Lidar Report |
| URL Type: |
Online Resource
|
| File Resource Format: | |
| Description: |
Link to the lidar report. |
URL 3
| URL: | https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/OR_WesternWildfires_A22/USGS_OR_WesternWildfires_A22_Project_Report.pdf |
|---|---|
| Name: | USGS Project Report |
| URL Type: |
Online Resource
|
| File Resource Format: | |
| Description: |
Link to the USGS Project Report that provides information about the project, vertical accuracy results, and the point classes and sensors used. |
URL 4
| URL: | https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/metadata/OR_WesternWildfires_A22/OR_WWildfires_1_A22/ |
|---|---|
| Name: | USGS Additional Info |
| URL Type: |
Online Resource
|
| Description: |
Link to the reports, breaklines, metadata, and spatial metadata. |
URL 5
| URL: | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/OR_WWildfires_1_A22/ept.json |
|---|---|
| Name: | USGS Entwine Point Tile (EPT) |
| URL Type: |
Online Resource
|
| File Resource Format: | json |
| Description: |
Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud. |
URL 6
| URL: | https://usgs.entwine.io/data/view.html?r=https://s3-us-west-2.amazonaws.com/usgs-lidar-public/OR_WWildfires_1_A22/ept.json |
|---|---|
| Name: | 3D View (Potree USGS) |
| URL Type: |
Online Resource
|
| Description: |
Link to view the point cloud, using the Entwine Point Tile (EPT) format, in the 3D Potree viewer. |
Technical Environment
| Description: |
Optech LMS, Novatel Inertial Explorer v8.9, Microstation CONNECT, TerraScan Version 19, TerraMatch Version 19, ESRI ArcGIS 10.3, ESRI ArcGIS Pro 3.0, Geocue LP360, Windows 10 Operating System |
|---|
Data Quality
| Horizontal Positional Accuracy: |
This data set was produced to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 0.49 ft (14.9 cm) RMSEx / RMSEy Horizontal Accuracy Class which equates to Positional Horizontal Accuracy = +/- 1.2 ft (36.4 cm) at a 95% confidence level. |
|---|---|
| Vertical Positional Accuracy: |
This data set was produced to meet ASPRS Positional Accuracy Standard for Digital Geospatial Data (2014) for a 10-cm RMSEz Vertical Accuracy Class. Nonvegetated (NVA) and Vegetated (VVA) checkpoints were independently surveyed to assess final accuracy. USGS Determined DEM Vertical Accuracy: Non-Vegetated Vertical Accuracy (NVA) = 4.8 cm RMSE Vegetated Vertical Accuracy (VVA) = 26.73 cm at the 95th Percentile |
| Completeness Report: |
A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist. The raw point cloud is of good quality and data passes Non-Vegetated Vertical Accuracy specifications. |
| Conceptual Consistency: |
DEM files were tested by GeoTerra for vertical accuracy. All data is seamless from one tile to the next and contain no gaps or no-data areas. |
Lineage
| Lineage Statement: |
The NOAA Office for Coastal Management (OCM) ingested references to the USGS GeoTIFF files that are hosted on Amazon Web Services (AWS), into the Digital Coast Data Access Viewer (DAV). The DAV accesses the raster data as it resides on AWS. |
|---|
Sources
USGS AWS GeoTIFF Files - OR_WWildfires_1
| Contact Role Type: | Publisher |
|---|---|
| Contact Type: | Organization |
| Contact Name: | USGS |
| Citation URL: | https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/OR_WesternWildfires_A22/OR_WWildfires_1_A22/TIFF/ |
| Citation URL Name: | USGS AWS GeoTIFF Files for OR_WWildfires_1 |
Process Steps
Process Step 1
| Description: |
Lidar Pre-Processing: 1. Review all flight data to ensure accuracy of the laser points and complete coverage of the project area. 2. Perform corrections for aircraft position data using Precise Point Positioning (PPP) method. 3. Develop a smoothed best estimate of trajectory (SBET) file that blends post-processed aircraft position with sensor head position and attitude recorded throughout the survey. 4. Calculate laser point position by associating SBET position to each laser point return time, scan angle, intensity, etc. Create raw laser point data for the entire survey in *.las format. Convert data to orthometric elevations by applying a Geoid 12b correction. 5. Import raw point data into manageable blocks to perform relative accuracy calibration and filter erroneous points. Auto-classify ground points for individual flight lines. 6. Perform automated line-to-line calibrations for system attitude parameters (pitch, roll, heading), mirror flex (scale) and GPS/IMU drift. Calculate calibrations on ground classified points from paired flight lines and apply results to all points in a flight line. Calculate relative line-to-line data accuracy after final adjustment. 7. Apply final positional adjustment to the point cloud by comparing ground classified points to surveyed ground control points. |
|---|---|
| Process Date/Time: | 2023-06-30 00:00:00 |
Process Step 2
| Description: |
Lidar Post-Processing: 1. Classify data to ground and other client designated classifications using site-specific algorithms. 2. Manually QC data classification. 3. After completion of classification and final QC, calculate final density and final ground fit statistics for NVA, VVA, using field surveyed QC checkpoints. |
|---|---|
| Process Date/Time: | 2023-06-30 00:00:00 |
Process Step 3
| Description: |
Hydro-flattening Breaklines and Hydro-flattened DEM creation: Water boundaries were manually derived for rivers and stremas wider than 100 feet, water bodies greater than 2 acres in size, and bridge decks by reviewing ground-classified Lidar with intensity values in a 3D environment. Lakes were assigned a consistent elevation for an entire polygon while rivers were assigned consistent elevations on opposing banks to ensure downstream flow through the entire river channel. Resulting breaklines were incorporated into the DEM to produce a hydro-flattened surface model by enforcing elevation values derived from the breakline to correct the interpolation along the hard water edges. Breaklines were also used to classify all ground points within the identified water bodies to class 9 (water). |
|---|---|
| Process Date/Time: | 2023-06-30 00:00:00 |
Process Step 4
| Description: |
The NOAA Office for Coastal Management (OCM) created references to the USGS GeoTIFF files that were ingested into the NOAA Digital Coast Data Access Viewer (DAV). No changes were made to the data. The DAV will access the raster data as it resides on Amazon Web Services (AWS). These are the GeoTIFF files that are being accessed: https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/OR_WesternWildfires_A22/OR_WWildfires_1_A22/TIFF/ |
|---|---|
| Process Date/Time: | 2025-10-21 00:00:00 |
| Process Contact: | NOAA Office for Coastal Management (NOAA/OCM) |
| Email Address: | coastal.info@noaa.gov |
| Phone (Voice): | (843) 740-1202 |
Related Items
| Item Type | Relationship Type | Title |
|---|---|---|
| Data Set (DS) | Cross Reference |
2022 ODF Lidar: Western Wildfires, OR (Yaquina, Beachie Creek/Lionshead, Western Lane, Sun Pass) |
Catalog Details
| Catalog Item ID: | 78459 |
|---|---|
| GUID: | gov.noaa.nmfs.inport:78459 |
| Metadata Record Created By: | Rebecca Mataosky |
| Metadata Record Created: | 2025-10-21 11:47+0000 |
| Metadata Record Last Modified By: | Rebecca Mataosky |
| Metadata Record Last Modified: | 2025-10-21 12:11+0000 |
| Metadata Record Published: | 2025-10-21 |
| Owner Org: | OCMP |
| Metadata Publication Status: | Published Externally |
| Do Not Publish?: | N |
| Metadata Last Review Date: | 2025-10-20 |
| Metadata Review Frequency: | 1 Year |
| Metadata Next Review Date: | 2026-10-20 |