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OCM Partners, 2024: 2015 OLC Topobathy Lidar DEM (Interpolated): Middle Fork Willamette River, OR,

Item Identification

Title: 2015 OLC Topobathy Lidar DEM (Interpolated): Middle Fork Willamette River, OR
Status: Completed
Creation Date: 2015
Publication Date: 2015

Airborne topobathymetric lidar-derived digital elevation model (DEM) with interpolated data in areas where no bathymetric points could be obtained, collected for the Middle Fork of Willamette River, Oregon in 2015.

In September 2015, Quantum Spatial (QSI) was contracted by the Oregon LiDAR Consortium (OLC) to collect topobathymetric Light Detection and Ranging (LiDAR) data in the fall of 2015 for the Middle Fork Willamette River site in Oregon. The Middle Fork Willamette River area of interest stretches between Eugene/Springfield and Dexter Dam and Fall Creek below Fall Creek Dam. Traditional near-infrared (NIR) LiDAR was fully integrated with green wavelength return data (bathymetric) LiDAR in order to provide seamless and complete project mapping.


Data were collected to aid OLC in providing a complete topobathymetric dataset to be used in analyses of the long term impacts associated with sediment deposition on downstream habitat and channel morphology.


Theme Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Science Keywords
Global Change Master Directory (GCMD) Science Keywords
ISO 19115 Topic Category

Spatial Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Location Keywords
Global Change Master Directory (GCMD) Location Keywords
Global Change Master Directory (GCMD) Location Keywords

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: As Needed
Data Presentation Form: Model (digital)
Entity Attribute Overview:

Digital elevation model incorporating both topographic ground measurements as well as bathymetric bottom points for the area of interest in Willamette river.

Data Set Credit: Oregon Lidar Consortium; Quantum Spatial, Inc; DOGAMI

Support Roles

Data Steward

CC ID: 987729
Date Effective From: 2020-08-14
Date Effective To:
Contact (Organization): Office for Coastal Management (OCM)
Address: 2234 South Hobson Avenue
Charleston, SC 29405-2413


CC ID: 987728
Date Effective From: 2020-08-14
Date Effective To:
Contact (Organization): Office for Coastal Management (OCM)
Address: 2234 South Hobson Avenue
Charleston, SC 29405-2413

Metadata Contact

CC ID: 987730
Date Effective From: 2020-08-14
Date Effective To:
Contact (Organization): Office for Coastal Management (OCM)
Address: 2234 South Hobson Avenue
Charleston, SC 29405-2413


Currentness Reference: Ground Condition

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 1294101
W° Bound: -123.0368
E° Bound: -122.74759
N° Bound: 44.050142
S° Bound: 43.9083

Area includes the Middle Fork, Wilamette River and a buffer of land around it.

Extent Group 1 / Time Frame 1

CC ID: 1294100
Time Frame Type: Range
Start: 2015-09-14
End: 2015-09-15

Collection dates of lidar

Spatial Information

Reference Systems

Reference System 1

CC ID: 1294098

Coordinate Reference System

CRS Type: Geographic 2D
EPSG Code: EPSG:6318
EPSG Name: NAD83(2011)
See Full Coordinate Reference System Information

Access Information

Security Class: Unclassified
Data Access Constraints:


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

CC ID: 987731
Start Date: 2020-08-14
End Date: Present
Download URL:
Distributor: Office for Coastal Management (OCM) (2020-08-14 - Present)

Application to create custom data files by choosing data area, product type, map projection, file format, datum, etc. A new metadata will be produced to reflect your request using this record as a base.

File Type (Deprecated): Multiple formats
Compression: Zip

Distribution 2

CC ID: 987732
Start Date: 2020-08-14
End Date: Present
Download URL:
Distributor: Office for Coastal Management (OCM) (2020-08-14 - Present)

Bulk download of data files in original projection.

File Type (Deprecated): GeoTIFF
Distribution Format: GeoTIFF



CC ID: 987733
Name: Data set report
URL Type:
Online Resource
File Resource Format: pdf

Report by WSI that formed the basis for this metadata. Contains additional information.


CC ID: 987734
Name: Data set extent
URL Type:
Browse Graphic
File Resource Format: kmz

graphic showing the extent of the data set.

Data Quality

Vertical Positional Accuracy:

Absolute accuracy was assessed using Fundamental Vertical Accuracy (FVA) reporting designed to meet guidelines presented in the FGDC National Standard for Spatial Data Accuracy3. FVA compares known ground check point data collected on open, bare earth surfaces with level slope (<20 degrees) to the triangulated surface generated by the LiDAR points. FVA is a measure of the accuracy of LiDAR point data in open areas where the LiDAR system has a high probability of measuring the ground surface and is evaluated at the 95% confidence interval (1.96 * RMSE). The mean and standard deviation (sigma ) of divergence of the ground surface model from ground check point coordinates are also considered during accuracy assessment. These statistics assume the error for x, y and z is normally distributed, and therefore the skew and kurtosis of distributions are also considered when evaluating error statistics.

For the Middle Fork Willamette River survey, 30 ground check points were withheld in total resulting in a fundamental vertical accuracy of 0.060 meters at the 95% confidence interval (1.96 * RMSE).

Additionally, 45 bathymetric (submerged or along the water’s edge) check points were also collected in order to assess the submerged surface vertical accuracy, resulting in an average absolute accuracy of 0.012 meters at the 95% confidence interval (1.96 * RMSE).

QSI also assessed absolute accuracy using 555 ground control points. Although these points were used in the calibration and post-processing of the LiDAR point cloud, they may still provide a good indication of the overall accuracy of the LiDAR dataset, and therefore have been provided - please see the dataset report for more details.

Completeness Report:

The specified depth penetration range of the Riegl VQ-820-G sensor is one secchi depth; therefore, bathymetry data below one secchi depth at the time of acquisition is not to be expected. To assist in evaluating performance results of the sensor, a polygon layer was created to delineate areas where bathymetry was successfully mapped.

This shapefile was used to control the extent of the delivered clipped topo-bathymetric model and to avoid false triangulation across areas in the water with no returns. Insufficiently mapped areas were identified by triangulating bathymetric bottom points with an edge length maximum of 4.56 meters. This ensured all areas of no returns (> 9 m2), were identified as data voids. Of the areas successfully mapped, 46.50% had a calculated depth of 0 – 0.5m, 38.00% had a calculated depth of 0.51 -1.0 m, 13.89% had a calculated depth of 1.01 – 1.5m, and the remaining 1.61% had a calculated depth between 1.51m and 6.5m (Table 9, project report).

For this DEM, areas that did not have bathymetric bottom point data were interpolated to create a continuous surface, rather than one with voids in areas of no data.



lidar data

CC ID: 1294093
Contact Role Type: Originator
Contact Type: Organization
Contact Name: Quantum Spatial, Inc.

Process Steps

Process Step 1

CC ID: 1294094


The airborne survey was designed to collect a point density of 4-5 pulses/m2 for the topo-bathymetric LiDAR. The flight was planned with a scan angle of ±20o and 50% side-lap. The 50% side-lap was used to ensure uniform coverage and to minimize laser shadowing due to vegetation and terrain. The flights were conducted in the late fall during base flow conditions to maximize water clarity and ensure shallow depths.

The flight lines were developed using ALTM-NAV Planner (v.3.0) software and Leica Mission Pro Flight Planning and Evaluation (FPES) software. Efforts were taken to optimize flight paths by minimizing flight times while meeting all accuracy specifications. The WSI acquisition staff considered all factors such as air space restrictions, private property access, and GPS quality in the planning of this mission.

Process Date/Time: 2015-09-01 00:00:00

Process Step 2

CC ID: 1294095

Lidar Survey:

The LiDAR survey was accomplished using a Leica ALS80 system dually mounted with a Riegl VQ-820-G topobathymetric sensor in a Cessna Caravan. The Riegl VQ-820-G uses a green wavelength (ʎ=532 nm) laser that is capable of collecting high resolution vegetation and topography data, as well as penetrating the water surface with minimal spectral absorption by water. The recorded waveform enables range measurements for all discernible targets for a given pulse. The Leica ALS80 laser system can record unlimited range measurements (returns) per pulse. It is not uncommon for some types of surfaces (e.g., dense vegetation or water) to return fewer pulses to the LiDAR sensor than the laser originally emitted. The discrepancy between first return and overall delivered density will vary depending on terrain, land cover, and the prevalence of water bodies. All discernible laser returns were processed for the output dataset. Table 3 (dataset report) summarizes the settings used to yield an average pulse densityof ≥4.0 points/m2 for green LiDAR returns, and ≥8.0 points/m2 for NIR LiDAR returns over the Middle Fork Willamette River project area.

Process Date/Time: 2015-09-01 00:00:00

Process Step 3

CC ID: 1294096

Lidar Processing:

Upon completion of data acquisition, QSI processing staff initiated a suite of automated and manual techniques to process the data into the requested deliverables. Processing tasks included GPS control computations, smoothed best estimate trajectory (SBET) calculations, kinematic corrections, calculation of laser point position, sensor and data calibration for optimal relative and absolute accuracy, and LiDAR point classification (Table 7). Riegl’s RiProcess software was used to facilitate bathymetric return processing. Once bathymetric points were differentiated, they were spatially corrected for refraction through the water column based on the angle of incidence of the laser. QSI refracted water column points using QSI’s proprietary LAS processing software, LAS Monkey. The resulting point cloud data were classified using both manual and automated techniques. Processing methodologies were tailored for the landscape.

Process Date/Time: 2015-09-30 00:00:00

Process Step 4

CC ID: 1294097

The NOAA Office for Coastal Management received the lidar DEM data from the Oregon Lidar Consortium.

Data were received in NAD83(2011) UTM zone 10 meters with vertical coordinates in NAVD88(GEOID 12A) meters. They were converted to geoTiff format with georeferencing added for ingest into the Data Access Viewer.

Metadata was not delivered with the data. This metadata was created from the WSI report.

Process Date/Time: 2020-08-14 00:00:00
Process Contact: Office for Coastal Management (OCM)
Source: lidar data

Catalog Details

Catalog Item ID: 62797
GUID: gov.noaa.nmfs.inport:62797
Metadata Record Created By: Blake Waring
Metadata Record Created: 2020-08-17 17:43+0000
Metadata Record Last Modified By: Kirk Waters
Metadata Record Last Modified: 2024-01-10 19:13+0000
Metadata Record Published: 2024-01-10
Owner Org: OCMP
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2022-03-16
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2023-03-16