Slide Menu
Search Help Show/Hide Menu
Short Citation:
OCM Partners, 2024: 2010 Oregon Department of Geology and Mineral Industries (DOGAMI) Lidar: Yambo Study Area,

Item Identification

Title: 2010 Oregon Department of Geology and Mineral Industries (DOGAMI) Lidar: Yambo Study Area
Short Name: or2010_dogami_yambo_m1077_metadata
Status: Completed
Publication Date: 2011-12

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 in 7 delivery areas from January 3 through July 14, 2010 and encompasses portions of the following

counties in Oregon: Lincoln, Polk, Tillamook and Yamhill. This data set consists of bare earth and unclassified points.

The average point density is 9.17 points per square meter over terrestrial surfaces. 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.

This LiDAR data set was collected on different dates and organized into 7 deliveries. To determine which delivery or deliveries are in

your area of interest, download yambo_deliveries.pdf at:

The specific date of collection and total area covered for each delivery are listed below.

Delivery 1: Date of Collection: 20100414 Total Area = 10,760 sq acres

Delivery 2: Date of Collection: 20100301-20100605 Total Area = 62,451 sq acres

Delivery 3: Date of Collection: 20100507-20100714 Total Area = 122,938 sq acres

Delivery 4: Date of Collection: 20100103-20100527 Total Area = 97,317 sq acres

Delivery 5: Date of Collection: 20100103-20100527 Total Area = 147,839 sq acres

Delivery 6: Date of Collection: 20100305-20100515 Total Area = 84,277 sq acres

Delivery 7: Date of Collection: 20100317-20100714 Total Area = 167,271 sq acres

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 Yambo 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: 683181
Date Effective From: 2011-12
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: 683183
Date Effective From: 2011-12
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: 683184
Date Effective From: 2011-12
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: 683182
Date Effective From: 2011-12
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: 1132439
W° Bound: -124.017166
E° Bound: -123.013066
N° Bound: 45.428381
S° Bound: 44.745281

Extent Group 1 / Time Frame 1

CC ID: 1132438
Time Frame Type: Range
Start: 2010-03-01
End: 2010-07-14

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: 742073
Start Date: 2015
End Date: Present
Download URL:
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2011-12 - Present)
File Name: Customized Download

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

File Type (Deprecated): Zip
Compression: Zip

Distribution 2

CC ID: 742074
Start Date: 2015
End Date: Present
Download URL:
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2011-12 - Present)
File Name: Bulk Download

Simple download of data files.

File Type (Deprecated): LAZ
Distribution Format: LAS/LAZ - LASer
Compression: Zip



CC ID: 742076
URL Type:
Online Resource


CC ID: 742078
Name: Browse Graphic
URL Type:
Browse Graphic
File Resource Format: kmz

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


CC ID: 1119722
Name: Project report
URL Type:
Online Resource
File Resource Format: pdf

Project report covering all areas.

Activity Log

Activity Log 1

CC ID: 683208
Activity Date/Time: 2016-05-23

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 683207
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: 718499
Activity Date/Time: 2018-02-08

Partial upload of Positional Accuracy fields only.

Activity Log 4

CC ID: 742075
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:

Project specifications required the LiDAR foot print to fall within 0.15 and 0.40 meters.

Vertical Positional Accuracy:

Absolute accuracy compares known Real Time Kinematic (RTK) ground survey points to the closest laser point. For the Yambo

Study Area, 12,171 RTK points were collected for data delivered. The final vertical accuracy value for the project

is 0.12 ft (0.04 m) RMSE.

Completeness Report:

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

Conceptual Consistency:

Upon receipt from vendor (Watershed Sciences), 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: 1132434

The LiDAR data were collected between January 3 and July 14, 2010. The survey used Leica ALS60 and Leica ALS50 Phase II laser

sensors mounted in multiple Cessna Caravans 208B. The systems were set to acquire greater than or equal to 105,000 laser pulses

per second (i.e. 105 kHz pulse rate) and flown at 900 and 1300 meters above ground level (AGL), capturing a scan angle of

plus or minus 14 degrees from nadir. These settings were developed to yield points with an average native density of greater than

or equal to 8 points per square meter over terrestrial surfaces. The native pulse density is the number of pulses emitted by

the LiDAR system. Some types of surfaces (i.e. dense vegetation or water) may return fewer pulses than the laser originally emitted.

Therefore, the delivered density can be less than the native density and lightly variable according to distributions of terrain,

land cover, and water bodies. The study area was surveyed with opposing flight line side-lap of greater than or equal to 50 percent

(greater than or equal to 100 percent overlap) to reduce laser shadowing and increase surface laser painting. The system allows

up to four range measurements per pulse, and all discernible laser returns were processed for the output dataset. During the LiDAR

survey of the study area, static (1 Hz recording frequency) ground surveys were conducted over either known or set monuments.

After the airborne survey, the static GPS data are processed using triangulation with CORS (continuously operating reference station) and

checked against the Online Positioning User Service (OPUS) to quantify daily variance. Multiple sessions are processed over the

same monument to confirm the antenna height measurements and reported position accuracy.

Process Date/Time: 2010-01-01 00:00:00

Process Step 2

CC ID: 1132435

1. Laser point coordinates are computed using the IPAS and ALS Post Processor software suites based on independent data from the

LiDAR system (pulse time, scan angle), and aircraft trajectory data (SBET). Laser point returns (first through fourth) are assigned

an associated (x, y, z) coordinate along with unique intensity values (0-255). The data are output into large LAS v. 1.1 files;

each point maintains the corresponding scan angle, return number (echo), intensity, and x, y, z (easting, northing, and elevation)


2. These initial laser point files are too large to process. To facilitate laser point processing, bins (polygons) are created to divide

the dataset into manageable sizes (< 500 MB). Flightlines and LiDAR data are then reviewed to ensure complete coverage of the study area

and positional accuracy of the laser points.

3. Once the laser point data are imported into bins in TerraScan, a manual calibration is performed to assess the system offsets for pitch,

roll, heading, and mirror scale. Using a geometric relationship developed by Watershed Sciences, each of these offsets is resolved and

corrected if necessary.

4. The LiDAR points are then filtered for noise, pits, and birds by screening for absolute elevation limits, isolated points, and height

above ground. Each bin is then inspected for pits and birds manually; spurious points are removed. For a bin containing approximately

7.5-9.0 million points, an average of 50-100 points are typically found to be artificially low or high. These spurious non-terrestrial

laser points must be removed from the dataset. Common sources of non-terrestrial returns are clouds, birds, vapor, and haze.

5. The internal calibration is refined using TerraMatch. Points from overlapping lines are tested for internal consistency and final

adjustments are made for system misalignments (i.e., pitch, roll, heading offsets and mirror scale). Automated sensor attitude and

scale corrections yield 3-5 cm improvements in the relative accuracy. Once the system misalignments are corrected, vertical GPS drift

is then resolved and removed per flight line, yielding a slight improvement (<1 cm) in relative accuracy. At this point in the workflow,

data have passed a robust calibration designed to reduce inconsistencies from multiple sources (i.e. sensor attitude offsets,

mirror scale, GPS drift) using a procedure that is comprehensive (i.e. uses all of the overlapping survey data). Relative accuracy

screening is complete.

6. The TerraScan software suite is designed specifically for classifying near-ground points (Soininen, 2004). The processing sequence

begins by 'removing' all points that are not 'near' the earth based on geometric constraints used to evaluate multi-return points.

The resulting bare earth (ground) model is visually inspected and additional ground point modeling is performed in site-specific areas

(over a 50-meter radius) to improve ground detail. This is only done in areas with known ground modeling deficiencies,

such as: bedrock outcrops, cliffs, deeply incised stream banks, and dense vegetation. In some cases, ground point classification

includes known vegetation (i.e., understory, low/dense shrubs, etc.) and these points are manually reclassified as non-grounds.

Process Date/Time: 2010-01-01 00:00:00

Process Step 3

CC ID: 1132436

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 Oregon Lambert (NAD83), International Feet coordinates

and NAVD88 (Geoid 03) vertical datum. OCM performed the following processing for data storage and provisioning purposes:

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

2. The data were converted from NAVD88 (orthometric) heights to GRS80 (ellipsoid) heights using Geoid 03.

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

4. The data were sorted by latitude and the headers were updated.

Process Date/Time: 2011-01-01 00:00:00

Catalog Details

Catalog Item ID: 49917
GUID: gov.noaa.nmfs.inport:49917
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: 2023-10-17 16:12+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