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Short Citation:
OCM Partners, 2022: 2010 Oregon Parks and Recreation Department Lidar: Cottonwood Canyon, https://www.fisheries.noaa.gov/inport/item/49919.

Item Identification

Title: 2010 Oregon Parks and Recreation Department Lidar: Cottonwood Canyon
Short Name: or2010_opr_cottonwood_canyon_m1080_metadata
Status: Completed
Publication Date: 2011-11
Abstract:

This data set represents the lidar elevations in portions of Gilliam and Sherman Counties, Oregon. This data set covers 35,902 acres

and was collected between May 13 and May 15, 2010. The lidar data are multiple return and are classified as unclassified and bare earth.

Please be aware that there are some water points classified as ground.

The LiDAR survey used Leica ALS50 Phase II and ALS60 laser systems. The sensor scan angle was plus or minus 14 degrees from nadir with a pulse rate

designed to yield an average native density (number of pulses emitted by the laser system) of greater than or equal to 8 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.

Watershed Sciences, Inc. collected the LiDAR and created this data set for Oregon Parks and Recreation Department.

Original contact information:

Contact Name: Brady Callahan

Contact Org: Oregon Parks and Recreation

Phone: 503-986-0783

Email: brady.callahan@state.or.us

Purpose:

Provide high resolution elevation data.

Notes:

10563

Supplemental Information:

The Lidar Report for this data set may be viewed at:

https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1080/supplemental/OPRD_Cottonwood_Canyon_LiDAR_Report.pdf

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

https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1080/supplemental/2010_Oregon_Parks_and_Rec_Cottonwood_Canyon_Lidar.kmz

Keywords

Theme Keywords

Thesaurus Keyword
ISO 19115 Topic Category
elevation
UNCONTROLLED
None Bare earth
None Bare ground
None High-resolution
None Light Detection and Ranging
None Oregon Parks and Recreation Department

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

Parks and Recreation Department, the Office for Coastal Management, or its partners.

Data Set Credit: Oregon Parks and Recreation Department

Support Roles

Data Steward

CC ID: 683259
Date Effective From: 2011-11
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Distributor

CC ID: 683261
Date Effective From: 2011-11
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Metadata Contact

CC ID: 683262
Date Effective From: 2011-11
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Point of Contact

CC ID: 683260
Date Effective From: 2011-11
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Extents

Currentness Reference: Ground Condition

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 1132487
W° Bound: -120.519665
E° Bound: -120.299365
N° Bound: 45.518951
S° Bound: 45.394151

Extent Group 1 / Time Frame 1

CC ID: 1132486
Time Frame Type: Range
Start: 2010-05-13
End: 2010-05-15

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: https://coast.noaa.gov/dataviewer

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

;

Data Access Constraints:

None

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 limitations.

Distribution Information

Distribution 1

CC ID: 742085
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=1080
Distributor:
File Name: Customized Download
Description:

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

Distribution 2

CC ID: 742086
Download URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1080/index.html
Distributor:
File Name: Bulk Download
Description:

Simple download of data files.

URLs

URL 1

CC ID: 742088
URL: https://coast.noaa.gov/dataviewer
URL Type:
Online Resource

URL 2

CC ID: 742089
URL: https://coast.noaa.gov
URL Type:
Online Resource

URL 3

CC ID: 742090
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1080/supplemental/2010_Oregon_Parks_and_Rec_Cottonwood_Canyon_Lidar.kmz
Name: Browse Graphic
URL Type:
Browse Graphic
File Resource Format: kmz
Description:

This kmz file shows the extent of coverage of the 2010 Oregon Parks and Recreation Department Cottonwood

Canyon Lidar data set.

Activity Log

Activity Log 1

CC ID: 683285
Activity Date/Time: 2016-05-23
Description:

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 683284
Activity Date/Time: 2017-11-14
Description:

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

Activity Log 3

CC ID: 718501
Activity Date/Time: 2018-02-08
Description:

Partial upload of Positional Accuracy fields only.

Activity Log 4

CC ID: 742087
Activity Date/Time: 2018-03-13
Description:

Partial upload to move data access links to Distribution Info.

Data Quality

Horizontal Positional Accuracy:

Not provided

Vertical Positional Accuracy:

The vertical accuracy (at 1 sigma) of this data set is 1.1 inches (2.9 cm) RMSE (Root Mean

Square Error).

Accuracy was assessed using 686 ground survey RTK (real time kinematic) points.

Completeness Report:

Flightlines and LiDAR data were reviewed to ensure complete coverage of the survey area and positional

accuracy of the laser points.

Conceptual Consistency:

Not provided

Lineage

Process Steps

Process Step 1

CC ID: 1132482
Description:

Acquisition

This LiDAR survey used Leica ALS50 Phase II and ALS50 laser systems. The sensor scan angle was plus or minus 14 degrees

from nadir with a pulse rate designed to yield an average native density (number of pulses emitted by the laser system)

of greater than or equal to 8 points per square meter over terrestrial surfaces. It is not uncommon for some types of surfaces

(e.g. water) to return fewer pulses than the laser originally emitted. These discrepancies between native and delivered

density will vary depending on the terrain, land cover, and the prevalence of water bodies.

All areas were surveyed with an opposing flight line side-lap of greater than or equal to 50 percent (equal to 100 percent

overlap) to reduce laser shadowing and increase surface laser painting. The Leica laser systems allow up to four

range measurements (returns) per pulse, and all discernible laser returns were processed for the output data set.

To accurately solve for laser point position (geographic coordinates x,y,z) the positional coordinates of the airborne

sensor and the attitude of the aircraft were recorded continuously throughout the LiDAR data collection mission. Aircraft

position was measured twice per second (2 Hz) by an onboard differential GPS unit. Aircraft attitude was measured 200 times

per second (200 Hz) as pitch, roll, and yaw (heading) from an onboard inertial measurement unit (IMU). To allow for

post-processing correction and calibration, aircraft/sensor position and attitude data were indexed to GPS time.

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

Process Step 2

CC ID: 1132483
Description:

Processing

1. Laser point coordinates were 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) were assigned an associated (x,y,z) coordinate along with unique intensity values (0 to 255).

The data were output into large LAS v1.2 files; each point maintains the corresponding scan angle, return number

(echo), intensity, and x,y,z (easting, northing, and elevation) information.

2. These initial laser point files were too large for subsequent processing. To facilitate laser point processing, bins

(polygons) were created to divide the data set into manageable sizes (less than 500 MB). Flightlines and LiDAR data were then

reviewed to ensure complete coverage of the survey area and positional accuracy of the laser points.

3. Laser point data were imported into processing bins in TerraScan and manual calibration was performed to assess the

system offsets for pitch, roll, heading, and scale (mirror flex). Using a geometric relationship developed by

Watershed Sciences, each of these offsets were resolved and corrected if necessary.

4. LiDAR points were then filtered for noise, pits (artificial low points) and birds (true birds, as well as erroneously

high points) by screening for absolute elevation limits, isolated points, and height above ground. Each bin was then

manually inspected for remaining pits and birds and spurious points were removed. In a bin containing approximately

7.5 to 9.0 million points, an average of 50 to 100 points are typically found to be artificially low or high. Common sources

of non-terrestrial returns are clouds, birds, vapor, haze, decks, brush piles, etc.

5. Internal calibration was refined using TerraMatch. Points from overlapping lines were tested for internal consistency

and final adjustments were made for system misalignments (i.e., pitch, roll, heading offsets, and scale). Automated sensor

attitude and scale corrections yielded 3 to 5 cm improvements in the relative accuracy. Once system misalignments were

corrected, vertical GPS drift was then resolved and removed per flight line, yielding a slight improvement (less than 1 cm)

in relative accuracy.

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

sequence began by removing all points that were not near the earth based on geometric constraints used to evaluate

multi-return points. The resulting bare earth (ground) model was visually inspected and additional ground point

modeling was performed in site-specific areas to improve ground detail. This manual editing of ground often occurs in

areas with known ground modeling deficiencies such as: bedrock outcrops, cliffs, deeply incised stream banks, and

dense vegetation. In some cases, automated ground point classification erroneously included known vegetation (i.e.,

understory, low/dense shrubs, etc.). These points were manually reclassified as non-grounds. Ground surface rasters

were developed from triangulated irregular networks (TINs) of ground points.

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

Process Step 3

CC ID: 1132484
Description:

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 Lambert Conformal Conic projection and NAVD88 Geoid 03 vertical datum. OCM performed the

following processing for data storage and Digital Coast provisioning purposes:

1. The data were converted from Lambert Conformal Conic coordinates to geographic coordinates.

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

3. The data were filtered to remove outliers.

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

Process Date/Time: 2011-10-01 00:00:00

Catalog Details

Catalog Item ID: 49919
GUID: gov.noaa.nmfs.inport:49919
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