Slide Menu
Search Help Show/Hide Menu
Short Citation:
OCM Partners, 2023: 2009 - 2011 OLC Lidar: Deschutes (OR),

Item Identification

Title: 2009 - 2011 OLC Lidar: Deschutes (OR)
Short Name: or2009_olc_deschutes_m8397_metadata
Status: Completed
Publication Date: 2017-10

Watershed Sciences, Inc. collected Light Detection and Ranging (LiDAR) data of the Deschutes Study Area for the Oregon Department of Geology and Mineral Industries (DOGAMI). The data set covers portions of Deschutes, Crook, Jefferson, Klamath, Lake, and Lane counties in Oregon. The study area totals 2899 square miles (1,855,419 acres). The data were collected in 17 deliveries, from 2009 through 2011.

In addition to the lidar point data, bare earth digital elevation model (DEM) raster data are also available. These data are available for custom download here:

Original contact information:

Contact Name: Don Haines

Contact Org: Nature of the Northwest

Title: Manager

Phone: 971-673-2331



Provide high resolution terrain elevation and land cover elevation data.



Supplemental Information:

The lidar report may be accessed here:

The acceptance report may be accessed here:


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 Watershed Sciences,Inc., DOGAMI, OLC, the NOAA Office for Coastal Management, or its partners.

Data Set Credit: DOGAMI, Watershed Sciences Inc.

Support Roles

Data Steward

CC ID: 682866
Date Effective From: 2017-10
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: 682868
Date Effective From: 2017-10
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: 682869
Date Effective From: 2017-10
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: 682867
Date Effective From: 2017-10
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: 1140534
W° Bound: -122.06614
E° Bound: -120.599682
N° Bound: 44.804781
S° Bound: 42.991949

Extent Group 1 / Time Frame 1

CC ID: 1140533
Time Frame Type: Range
Start: 2009-10-02
End: 2011-05-05

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 or 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.

Users should be aware that temporal changes may have occurred since this dataset was collected and that some parts of these data may no longer represent actual surface conditions. Users should not use these data for critical applications without a full awareness of its limitations.

Distribution Information

Distribution 1

CC ID: 742025
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: 742026
Download URL:
File Name: Bulk Download

Simple download of data files.



CC ID: 742028
URL Type:
Online Resource


CC ID: 742029
URL Type:
Online Resource


CC ID: 742030
URL Type:
Online Resource


CC ID: 742031
Name: Browse Graphic
URL Type:
Browse Graphic
File Resource Format: kmz

This graphic shows the lidar coverage for the 2009 - 2011 topographic lidar acquisition in the Deschutes study area.

Activity Log

Activity Log 1

CC ID: 682897
Activity Date/Time: 2017-10-19

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 682896
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: 718491
Activity Date/Time: 2018-02-08

Partial upload of Positional Accuracy fields only.

Activity Log 4

CC ID: 742027
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 3; ESRI ArcCatalog

Data Quality

Horizontal Positional Accuracy:

Within 30 cm based on sensor specifications.

Vertical Positional Accuracy:

The Root Mean Square Error (RMSE) of the data set is 0.04 meters. Accuracy was assessed using 31,073 ground survey (real time kinematic) points. These ground survey points are distributed through out the study area.

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 75% 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: 1140529

Watershed Sciences, Inc. has collected Light Detection and Ranging (LiDAR) data of the Deschutes Study Area for the Oregon Department of Geology and Mineral Industries (DOGAMI). The area of interest (AOI) totals 3,001 square miles (1,920,429 acres) and the total area flown (TAF) covers 3,053 square miles (1,953,949 acres). The TAF acreage is greater than the original AOI acreage due to buffering and flight planning optimization (Figure 1.1 below). DOGAMI data are delivered in OGIC (HARN): Projection: Oregon Statewide Lambert Conformal Conic; horizontal and vertical datum: NAD83 (HARN)/NAVD88 (Geoid03); units: International Feet.

The LiDAR survey utilized Leica ALS50 Phase II and ALS60 sensors mounted in multiple Cessna Caravan 208Bs. The Leica 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 are developed to yield points with an average native density of 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 vary according to distributions of terrain, land cover and water bodies.

Process Step 2

CC ID: 1140530


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 Step 3

CC ID: 1140531

The NOAA Office for Coastal Management (OCM) received the data in laz format from DOGAMI. The files contained lidar elevation and intensity measurements. The data were in Oregon Statewide Lambert (NAD83 HARN) International feet coordinates and NAVD88 (Geoid03) elevations in International feet. OCM did the following processing to the data for Digital Coast storage and provisioning purposes:

1. Converted from Oregon Statewide Lambert (NAD83 HARN) International feet coordinates to geographic coordinates

2. Converted from NAVD88 elevations to NAD83(2011) ellipsoid elevations using Geoid03 grids

3. Converted the vertical units from International feet to meters

4. Copied the laz files to database and https

Process Date/Time: 2017-10-16 00:00:00

Catalog Details

Catalog Item ID: 49909
GUID: gov.noaa.nmfs.inport:49909
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