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OCM Partners, 2023: 2015 Oregon Department of Geology and Mineral Industries (DOGAMI) Oregon Lidar: Upper Umpqua,

Item Identification

Title: 2015 Oregon Department of Geology and Mineral Industries (DOGAMI) Oregon Lidar: Upper Umpqua
Short Name: or2015_olc_upper_umpqua_m7379_metadata
Status: Completed
Publication Date: 2017-09-20

QSI has completed the acquisition and processing of Light Detection and Ranging (LiDAR) data describing the Oregon LiDAR Consortium's (OLC) Umpqua Study Area. The Umpqua area of interest (AOI) shown in Figure 1 encompasses 1,414,070 acres.

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 occurred between February 14 and November 12, 2015. 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. Lidar point clouds were projected back to geographic coordinates for storage in the Digital Coast Data Access Viewer.

Original contact information:

Contact Name: Jacob Edwards

Contact Org: DOGAMI

Phone: 971-673-1557



Provide high resolution terrain elevation data.



Supplemental Information:

A final report for this project may be viewed at:

The DOGAMI acceptance report may be viewed at:


Theme Keywords

Thesaurus Keyword
ISO 19115 Topic Category
None Bare earth
None Bare ground
None High-resolution
None Light Detection and Ranging

Physical Location

Organization: Office for Coastal Management
City: Charleston
State/Province: SC

Data Set Information

Data Set Scope Code: Data Set
Maintenance Frequency: None Planned
Distribution Liability:

Any conclusions drawn from the analysis of this information are not the responsibility of the Oregon Department of Geology and Mineral Industries (DOGAMI), the Office for Coastal Management or its partners.

Data Set Credit: DOGAMI, QSI

Support Roles

Data Steward

CC ID: 684249
Date Effective From: 2017-09-20
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address:
Phone: (843) 740-1202


CC ID: 684251
Date Effective From: 2017-09-20
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address:
Phone: (843) 740-1202

Metadata Contact

CC ID: 684252
Date Effective From: 2017-09-20
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address:
Phone: (843) 740-1202

Point of Contact

CC ID: 684250
Date Effective From: 2017-09-20
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address:
Phone: (843) 740-1202


Currentness Reference: Ground Condition

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 1140344
W° Bound: -124
E° Bound: -122.421
N° Bound: 43.83
S° Bound: 42.94

Extent Group 1 / Time Frame 1

CC ID: 1140343
Time Frame Type: Range
Start: 2015-02-04
End: 2015-11-12

Spatial Information

Spatial Representation

Representations Used

Vector: Yes

Access Information

Security Class: Unclassified
Data Access Procedure:

This data can be obtained on-line at the following URL:


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


Distribution Information

Distribution 1

CC ID: 742229
Download URL:
File Name: Customized Download

Create custom data files by choosing data area, product type, map projection, file format, datum, etc.

Distribution 2

CC ID: 742230
Download URL:
File Name: Bulk Download

Simple download of data files.



CC ID: 742232
URL Type:
Online Resource


CC ID: 742233
URL Type:
Online Resource

Activity Log

Activity Log 1

CC ID: 684271
Activity Date/Time: 2017-10-30

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 684270
Activity Date/Time: 2017-11-14

Converted from FGDC Content Standards for Digital Geospatial Metadata (version FGDC-STD-001-1998) using '' script. Contact Tyler Christensen (NOS) for details.

Activity Log 3

CC ID: 718543
Activity Date/Time: 2018-02-08

Partial upload of Positional Accuracy fields only.

Activity Log 4

CC ID: 742231
Activity Date/Time: 2018-03-13

Partial upload to move data access links to Distribution Info.

Data Quality

Horizontal Positional Accuracy:


Vertical Positional Accuracy:

Vertical accuracy analysis of delivered lidar data consisted of differencing collected NVA and VVA data and the lidar Digital Elevation Models (DEM) to expose offsets. These offsets were used to produce a mean vertical error and vertical RMSE value for the entire delivered data set. Project specifications list the maximum acceptable mean vertical offset to be 0.20 meters (0.65 feet) and the maximum vertical RSME to not exceed 0.0925 meters (0.303 feet).

A total of 776 measured NVA check points were obtained in the Upper Umpqua 3DEP project area and were compared with the lidar elevation grids. The data delivered to DOGAMI was found to have a mean vertical offset of 0.02 meters (0.06 feet) and an RMSE value of 0.07 meters (0.23 feet). Offset values ranged from -0.18 meters (-0.62 feet) to 0.18 meters (0.59 feet).

For more information about the vertical accuracy, please refer to the final report, listed above in the Supplemental_Information field

of this metadata record.

; Quantitative Value: 0.07 meters, Test that produced the value: Tested to meet RMSE in meters.

Completeness Report:

LiDAR data has been collected and processed for all areas within the project study area.

Conceptual Consistency:

Upon receipt from vendor (Quantum Spatial), all LiDAR data was independently reviewed by staff from the Oregon Department of Geology and Mineral Industries (DOGAMI) to ensure project specifications were met. All data were inventoried for completeness and data were checked for quality, which included examining LiDAR data for errors associated with internal data consistency, model quality, and accuracy.


Process Steps

Process Step 1

CC ID: 1140339


LiDAR data acquisition was conducted from Feb 14, 2015 to Nov 12, 2015. The survey utilized a Leica ALS 80 laser system mounted in a Cessna 208. Scan angles near nadir were used to increase penetration of vegetation to ground surfaces. Ground level GPS and aircraft IMU were collected during the flight.

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

Process Step 2

CC ID: 1140340


1. TRAJECTORY: Aircraft trajectory (position and attitude) were calculated based on on-board GPS and IMU data with post-processing refinement through coincident static GPS collection.

2. POST-PROCESSING: Laser point return coordinates (x,y,z) were computed using sensor-specific post processing software, combining LiDAR return range and intensity information with aircraft trajectory information.

3. INITIAL QAQC: The post-processed LiDAR files were assembled into flight lines and reviewed for gaps and consistency, as well as systematic noise.

4. CALIBRATION: Custom algorithms evaluated individual swaths for misalignments based on IMU configuration as well as aircraft attitude variability. Offsets were resolved through surface and linear matching algorithms that minimize variability in elevation and slope. Descriptive statistics, thresholds, and specifications providing transparency for data calibration are discussed in the accompanying Data Report.

5. GROUND MODELING: Ground classified point cloud was generated through proprietary data processing tools, with settings and thresholds appropriate to landscape and vegetation condition.

6. ARTIFACT FILTRATION: Noise and processing artifacts were filtered using post-processing software and proprietary quality control methods.

7. ACCURACY ASSESSMENT: Vertical accuracy for the LiDAR dataset was assessed against Ground Check Points (GCP) distributed throughout the study area. See the accompanying Data Report for methodology, descriptive statistics, and relevant standards and reporting language.

8. DATA PRODUCT: LiDAR points classified as 'ground' were output as a digital elevation model (DEM).

Process Date/Time: 2015-11-12 00:00:00

Process Step 3

CC ID: 1140341

The NOAA Office for Coastal Management (OCM) received the files in laz format. The files contained Lidar elevation and intensity measurements. The data were in Oregon Lambert (NAD83 2011 Epoch 2010.0), International Feet coordinates and NAVD88 (Geoid12a) vertical feet. OCM performed the following processing to the data to make it available within the Digital Coast:

1. The data were converted from Oregon Lambert (NAD83), International Feet coordinates to geographic coordinates.

2. The vertical units of the data were converted from International feet to meters.

3. The data were converted from NAVD88 (orthometric) heights to NAD83(2011) ellipsoid heights using Geoid12a grids.

Process Date/Time: 2017-09-01 00:00:00

Catalog Details

Catalog Item ID: 49945
GUID: gov.noaa.nmfs.inport:49945
Metadata Record Created By: Anne Ball
Metadata Record Created: 2017-11-15 15:23+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2022-08-09 17:11+0000
Metadata Record Published: 2022-03-16
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