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Short Citation:
OCM Partners, 2023: 2012 Oregon Department of Geology and Mineral Industries (DOGAMI) Lidar: Rogue River Oregon,

Item Identification

Title: 2012 Oregon Department of Geology and Mineral Industries (DOGAMI) Lidar: Rogue River Oregon
Short Name: 2012_OLC_RogueRiver_m6369_metadata
Status: Completed
Publication Date: 2017

WSI has collected Light Detection and Ranging (LiDAR) data of the Rogue River Study Area for the Oregon Department of Geology and Mineral Industries (DOGAMI), encompassing portions of Coos, Curry, Douglas, Jackson, and Josephine Counties. The Oregon LiDAR Consortium's Rogue River project area encompasses approximately 1.4 million acres in the southwestern region of the state. The area includes portions of the Siskiyou National Forest, the City of Grants Pass and the Rogue River.

The collection of high resolution geographic data is part an ongoing pursuit to amass a library of information accessible to government agencies as well as the general public. Several agencies including DOGAMI, BLM, and FEMA contributed to the funding of the project. Between March 6th and August 16th, 2012, WSI employed remote-sensing lasers in order to obtain a total of 868,375 acres of data delivered to date. The latest delivery data covered a total area of 338,349 acres of which 333,066 acres lie within the Area of Interest. Final products created include LiDAR point cloud data, 1 meter digital elevation models of bare earth ground model and highest-hit returns, hydro-flattened raster data sets, intensity rasters, hydrologic shapefiles, area vector shapes, and corresponding statistical data.

Original contact information:

Contact Name: Jacob Edwards

Contact Org: DOGAMI

Phone: 971-673-1557



Provide high resolution terrain elevation and land cover elevation data.



Supplemental Information:

A final report for this project 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, WSI

Support Roles

Data Steward

CC ID: 669604
Date Effective From: 2017
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: 669606
Date Effective From: 2017
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: 669607
Date Effective From: 2017
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: 669605
Date Effective From: 2017
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: 1140178
W° Bound: -123.829671
E° Bound: -123.748218
N° Bound: 42.627359
S° Bound: 42.58961

Extent Group 1 / Time Frame 1

CC ID: 1140177
Time Frame Type: Range
Start: 2012-03-08
End: 2012-08-16

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:

In some areas of heavy vegetation and forest cover, there may be relatively few ground points in the LiDAR data. TINing the points produces large triangles and hence the elevations may be less accurate within such areas. In some areas with large bodies of water, competing water surface levels may be visible. This is due to seasonal water level fluctuation and intervals of time between acquisition of an area.

Distribution Information

Distribution 1

CC ID: 740296
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: 740297
Download URL:
File Name: Bulk Download

Simple download of data files.



CC ID: 740299
URL Type:
Online Resource


CC ID: 740300
URL Type:
Online Resource

Activity Log

Activity Log 1

CC ID: 669631
Activity Date/Time: 2017-09-14

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 669630
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: 718047
Activity Date/Time: 2018-02-08

Partial upload of Positional Accuracy fields only.

Activity Log 4

CC ID: 740298
Activity Date/Time: 2018-03-13

Partial upload to move data access links to Distribution Info.

Data Quality

Horizontal Positional Accuracy:

Within 30cm based on sensor specifications.

Vertical Positional Accuracy:

The Root Mean Square Error (RMSE) of the data set is 0.05 meters. Accuracy was assessed using 19,453 ground survey (real time kinematic) points. These ground survey points are distributed through out the OLC Rogue River study area. See LiDAR data report.; Quantitative Value: 0.05 meters, Test that produced the value: Root mean square error in meters.

Completeness Report:

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

Conceptual Consistency:

LiDAR flight lines have been examined to ensure that there was at least 60% sidelap, there are no gaps between flightlines, and overlapping flightlines have consistent elevation values. Shaded relief images have been visually inspected for data errors such as pits, border artifacts, gaps, and shifting. The data was examined at a 1:3000 scale.


Process Steps

Process Step 1

CC ID: 1140173


LiDAR data acquisition began March 8, 2012 and was completed August 16, 2012. The survey utilized Leica ALS50 Phase II and ALS60 laser systems mounted in a Cessna Caravan 208B and Partenavia P.38. Near nadir scan angles were used to increase penetration of vegetation to ground surfaces. Ground level GPS and aircraft IMU were collected during the flight.

Process Date/Time: 2012-01-01 00:00:00

Process Step 2

CC ID: 1140174


1. Flight lines and data were reviewed to ensure complete coverage of the study area and positional accuracy of the laser points.

2. Laser point return coordinates were computed using ALS Post Processor software and IPAS Pro GPS/INS software, based on independent data from the LiDAR system, IMU, and aircraft.

3. The raw LiDAR file was assembled into flight lines per return with each point having an associated x, y, and z coordinate.

4. Visual inspection of swath to swath laser point consistencies within the study area were used to perform manual refinements of system alignment.

5. Custom algorithms were designed to evaluate points between adjacent flight lines. Automated system alignment was computed based upon randomly selected swath to swath accuracy measurements that consider elevation, slope, and intensities. Specifically, refinement in the combination of system pitch, roll and yaw offset parameters optimize internal consistency.

6. Noise (e.g., pits and birds) was filtered using ALS postprocessing software, based on known elevation ranges and included the removal of any cycle slips.

7. Using TerraScan and Microstation, ground classifications utilized custom settings appropriate to the study area.

8. The corrected and filtered return points were compared to the RTK ground survey points collected to verify the vertical and horizontal accuracies.

9. Points were output as laser points, TINed and GRIDed surfaces.

Process Date/Time: 2012-01-01 00:00:00

Process Step 3

CC ID: 1140175

The NOAA Office for Coastal Management (OCM) received the point cloud LAS files from DOGAMI. 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.

In the process of converting the data, three data files were found to be corrupt. They were files: 42122B8106.las, 42123B1410.las, 42123C6405.las, all from Delivery 1. These files have been removed.

This metadata record was generated from a combination of the project report and the original metadata.

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

Catalog Details

Catalog Item ID: 49606
GUID: gov.noaa.nmfs.inport:49606
Metadata Record Created By: Anne Ball
Metadata Record Created: 2017-11-15 15:21+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