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Short Citation:
OCM Partners, 2023: 2016 Oregon Department of Geology and Mineral Industries (DOGAMI) Oregon Lidar DEM: McKenzie River, https://www.fisheries.noaa.gov/inport/item/49461.

Item Identification

Title: 2016 Oregon Department of Geology and Mineral Industries (DOGAMI) Oregon Lidar DEM: McKenzie River
Short Name: or2016_dogami_mkenzie_DEM_m6318_metadata
Status: Completed
Publication Date: 2017-07-15
Abstract:

Quantum Spatial collected Light Detection and Ranging (LiDAR) data for the Oregon LiDAR Consortium (OLC) McKenzie River study area. This study area is located near Eugene, Oregon. The collection of high resolution geographic data is part of an ongoing pursuit to amass a library of information accessible to government agencies as well as the general public.

In May and June 2016 QSI employed remote-sensing lasers in order to obtain a total area flown of 141,508 acres. Settings for LiDAR data capture produced an average resolution of at least eight pulses per square meter. The LiDAR survey occurred between May 28 and June 21 of 2016, utilizing a Leica ALS80 mounted in a Cessna Grand Caravan. The systems were programmed to emit single pulses at around 189 kHz and flown at 1,500 m AGL, capturing a scan angle of 15 degrees from nadir. These settings were developed to yield points with an average native density of greater than eight pulses per square meter over terrestrial surfaces.

Final products created include 6-inch orthophotos, RGB extracted (from NAIP imagery) LiDAR point cloud data, three foot digital elevation models of highest hit and bare earth ground models, 1.5 foot intensity rasters, 1.5 foot ground density, study area vector shapes, and corresponding statistical data. Final deliverables were projected in Oregon Statewide Lambert Conformal Conic. This metadata was created for the bare earth digital elevation models.

Original contact information:

Contact Name: Jacob Edwards

Contact Org: DOGAMI

Phone: 971-673-1557

Email: jacob.edwards@oregon.gov

Purpose:

Provide high resolution terrain elevation data.

Notes:

12127

Supplemental Information:

A final report for this project may be viewed at:

https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/6317/supplemental/2016_McKenzie_Final_Data_Report.pdf

Keywords

Theme Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > TOPOGRAPHICAL RELIEF MAPS
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
ISO 19115 Topic Category
elevation
UNCONTROLLED
None Bare earth
None Bare ground
None DEM
None DOGAMI
None High-resolution
None Light Detection and Ranging

Spatial Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > OREGON

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: 663729
Date Effective From: 2017-07-15
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: 663731
Date Effective From: 2017-07-15
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: 663732
Date Effective From: 2017-07-15
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: 663730
Date Effective From: 2017-07-15
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: 1150814
W° Bound: -122.989498
E° Bound: -122.011206
N° Bound: 44.32608
S° Bound: 44.010132

Extent Group 1 / Time Frame 1

CC ID: 1150813
Time Frame Type: Range
Start: 2015-06-26
End: 2015-07-03

Spatial Information

Spatial Representation

Representations Used

Grid: 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

;

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: 721016
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=6318
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: 721017
Download URL: https://coast.noaa.gov/htdata/raster2/elevation/OLC_mckenzie_river_2016_6318
Distributor:
File Name: Bulk Download
Description:

Simple download of data files.

URLs

URL 1

CC ID: 721019
URL: https://coast.noaa.gov/dataviewer
URL Type:
Online Resource

URL 2

CC ID: 721020
URL: https://coast.noaa.gov
URL Type:
Online Resource

URL 3

CC ID: 1176198
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/6317/supplemental/2016_McKenzie_Final_Data_Report.pdf
Name: Lidar Report
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the Quantum Spatial lidar report.

Activity Log

Activity Log 1

CC ID: 663755
Activity Date/Time: 2017-07-06
Description:

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 663754
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: 718548
Activity Date/Time: 2018-02-08
Description:

Partial upload of Positional Accuracy fields only.

Activity Log 4

CC ID: 721018
Activity Date/Time: 2018-02-13
Description:

Partial upload to move data access links to Distribution Info.

Data Quality

Horizontal Positional Accuracy:

unknown

Vertical Positional Accuracy:

Vertical Accuracy reporting is designed to meet guidelines presented in the National Standard for Spatial Data Accuracy (NSSDA) (FGDC, 1998) and the ASPRS Guidelines for Vertical Accuracy Reporting for LiDAR Data V1.0 (ASPRS, 2014). The statistical model compares known ground survey points (GSPs) to the closest laser point. Vertical accuracy statistical analysis uses ground survey points in open areas where the LiDAR system has a "very high probability" that the sensor will measure the ground surface and is evaluated at the 95th percentile.

For the OLC McKenzie River study area, a total of 1,723 GSPs were collected. An additional 56 reserved ground survey points were collected for independent verification, resulting in a non-vegetated vertical accuracy (NVA) of 0.054 meters.

For more information about the vertical accuracy, please refer to the final report, listed above in the Supplemental_Information field

of this metadata record.

; Quantitative Value: 0.054 meters, Test that produced the value: Tested to meet FVA at a 95 percent confidence level in meters.

Completeness Report:

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

Conceptual Consistency:

Upon receipt from vendor (Quantum Spatial), 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.

Lineage

Process Steps

Process Step 1

CC ID: 1150810
Description:

The LiDAR survey occurred between May 28, 2016 and June 21, 2016 utilizing a Leica ALS80 mounted in a Cessna Grand Caravan. The systems were programmed to emit single pulses at around 189 kHz and flown at 1,500 m AGL, capturing a scan angle of 15 degrees from nadir. These settings were developed to yield points with an average native density of greater than eight pulses per square meter over terrestrial surfaces. To solve for laser point position, an accurate description of aircraft position and attitude is vital. Aircraft position is described as x, y, and z and was measured twice per second (two hertz) by an onboard differential GPS unit. Aircraft attitude is described as pitch, roll, and yaw (heading) and was measured 200 times per second (200 hertz) from an onboard inertial measurement unit (IMU).

Process Date/Time: 2016-01-01 00:00:00

Process Step 2

CC ID: 1150811
Description:

The NOAA Office for Coastal Management (OCM) received the files in the proprietary ESRI grid format. The files were converted to floating point GeoTIFF format in vertical meters using gdal_translate from GDAL version 2.1.1.

Process Date/Time: 2017-06-01 00:00:00

Catalog Details

Catalog Item ID: 49461
GUID: gov.noaa.nmfs.inport:49461
Metadata Record Created By: Anne Ball
Metadata Record Created: 2017-11-15 15:13+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