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Short Citation:
OCM Partners, 2024: 2010 Oregon Department of Geology and Mineral Industries (DOGAMI) Lidar: Newberry Study Area,

Item Identification

Title: 2010 Oregon Department of Geology and Mineral Industries (DOGAMI) Lidar: Newberry Study Area
Short Name: or2010_dogami_newberry_m1452_metadata
Status: Completed
Publication Date: 2013

The Oregon Department of Geology & Mineral Industries (DOGAMI) contracted with Watershed Sciences, Inc. to collect high

resolution topographic LiDAR data for multiple areas within the State of Oregon. The areas for LiDAR collection have been designed

as part of a collaborative effort of state, federal, and local agencies in order to meet a wide range of project goals.

This LiDAR data set was collected over three deliveries from May 28 - July 27, 2010 and encompasses portions of Deschutes,

Klamath, and Lake counties in Oregon. This data set consists of bare earth and unclassified points. The average pulse density is 8.51 pulses

per square meter over terrestrial surfaces. The area of interest (AOI) totals 500 square miles (320,041 acres) and the total area

flown (TAF) covers 506 square miles (324,020 acres). The TAF acreage is greater than the original AOI acreage due to buffering

and flight planning optimization. This metadata record reflects all the data and cumulative statistics for the overall lidar survey.

In some areas of heavy vegetation or forest cover, there may be relatively few ground points in the LiDAR data. Elevation values

for open water surfaces are not valid elevation values because few LiDAR points are returned from water surfaces. LiDAR intensity

values were also collected.

Dates of acquisition for the six deliveries that make up this data set.

Delivery Area Acquisition Dates AOI Acres TAF Acres

1 May 28 - June 1, 2010 31,380 32,225

2 May 28 - July 27, 2010 159,215 160,744

3 May 28 - July 27, 2010 129,446 131,051

Original contact information:

Contact Name: Ian Madin

Contact Org: DOGAMI

Phone: 971-673-1542



Provide high resolution terrain elevation and land cover elevation data.



Supplemental Information:

The final LiDAR Report for the Newberry study area may be accessed at:

A footprint of this data set may be viewed in Google Earth 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

Support Roles

Data Steward

CC ID: 683104
Date Effective From: 2013
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: 683106
Date Effective From: 2013
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: 683107
Date Effective From: 2013
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: 683105
Date Effective From: 2013
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: 1133478
W° Bound: -121.487609
E° Bound: -121.066009
N° Bound: 44.122525
S° Bound: 43.537725

Extent Group 1 / Time Frame 1

CC ID: 1133477
Time Frame Type: Range
Start: 2010-05-28
End: 2010-07-27

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:

This data set is dynamically generated based on user-specified parameters.


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: 742061
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: 742062
Download URL:
File Name: Bulk Download

Simple download of data files.



CC ID: 742064
URL Type:
Online Resource


CC ID: 742065
URL Type:
Online Resource


CC ID: 742066
Name: Browse Graphic
URL Type:
Browse Graphic
File Resource Format: kmz

This graphic shows the lidar coverage for the Newberry Study Area.

Activity Log

Activity Log 1

CC ID: 683130
Activity Date/Time: 2016-05-23

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 683129
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: 718497
Activity Date/Time: 2018-02-08

Partial upload of Positional Accuracy fields only.

Activity Log 4

CC ID: 742063
Activity Date/Time: 2018-03-13

Partial upload to move data access links to Distribution Info.

Technical Environment


Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 2; ESRI ArcCatalog

Data Quality

Horizontal Positional Accuracy:

Not specified in final report, assumed to be 1 m.

Vertical Positional Accuracy:

The Root Mean Square Error (RMSE) of the data is 0.04 meters (0.12 ft). Accuracy was assessed using 4,062 ground survey (real time

kinematic) points. These ground survey points are distributed throughout the OLC Newberry study area.

The final LiDAR Report for the Newberry study area may be accessed at:

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 50 percent 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.


Process Steps

Process Step 1

CC ID: 1133474

No metadata for the lidar point data was provided to NOAA OCM with this data set. The following process step contains information

derived from the metadata of other Watershed Sciences, Inc. data sets and from the Newberry Study area lidar report. This lidar

report may be accessed at:


1. Lidar data acquisition began May 28, 2010 and was completed July 27, 2010.

2. The survey used both a Leica ALS50 Phase II and a Leica ALS60 laser system mounted in a Cessna Caravan 208B.

3. Near nadir scan angles were used to increase penetration of vegetation to ground surfaces.

4. Ground level GPS and aircraft IMU were collected during the flight.


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: 2010-01-01 00:00:00

Process Step 2

CC ID: 1133475

The NOAA Office for Coastal Management (OCM) received the files in las format. The files contained LiDAR

elevation and intensity measurements. The data were in OGIC HARN, Oregon Statewide Lambert Conformal Conic Projection (NAD83/HARN),

NAVD88 (Geoid03) vertical datum and International Feet. OCM performed the following processing for data storage and Digital Coast

provisioning purposes:

1. The data were converted from OGIC HARN, Oregon Statewide Lambert Conformal Conic Projection (NAD83/HARN) to geographic coordinates.

2. The data were converted from NAVD88 (orthometric) heights to GRS80 (ellipsoid) heights using Geoid03.

3. The data were converted from International Feet to meters.

4. The data were sorted by time and zipped to laz format.

Process Date/Time: 2013-01-01 00:00:00

Catalog Details

Catalog Item ID: 49915
GUID: gov.noaa.nmfs.inport:49915
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