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Short Citation:
OCM Partners, 2023: 2012 Oregon Department of Geology and Mineral Industries (DOGAMI) Oregon Lidar DEM: Tillamook Yamhill, https://www.fisheries.noaa.gov/inport/item/49447.

Item Identification

Title: 2012 Oregon Department of Geology and Mineral Industries (DOGAMI) Oregon Lidar DEM: Tillamook Yamhill
Short Name: or2012_dogami_tillamook_yamhill_DEM_m6328_metadata
Status: Completed
Publication Date: 2017-07-15
Abstract:

WSI has collected Light Detection and Ranging (LiDAR) data of the Oregon Tillamook-Yamhill Study Area for the Oregon Department of Geology and Mineral Industries (DOGAMI). The Oregon LiDAR Consortium's Tillamook- Yamhill project area encompasses approximately 200,000 acres in Tillamook and Yamhill County in northwestern Oregon. The area was flown between September 23rd and October 5th, 2012,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.

The LiDAR survey utilized Leica ALS50 and ALS60 sensors mounted in either Cessna Caravan 208B or Partenavia P.68 aircrafts. Depending on the pairing of sensor and aircraft, the systems were programmed to emit laser pulses at a rate between 96-105 kHz, and flown at 900 meters above ground level (AGL), capturing a scan angle of +-30 degrees from nadir. These settings are developed to yield points with an average native density of greater than eight points per square meter over terrestrial surfaces.

Final products created include LiDAR point cloud data, 1 meter digital elevation models of bare earth ground model and highest-hit returns, intensity rasters, 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:

12113

Supplemental Information:

A final report for this project may be viewed at:

https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/6327/supplemental/OLC_TY_data_report_121130.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: 663170
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: 663172
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: 663173
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: 663171
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: 1150874
W° Bound: -123.72237
E° Bound: -123.28599
N° Bound: 45.53984
S° Bound: 45.07351

Extent Group 1 / Time Frame 1

CC ID: 1150873
Time Frame Type: Range
Start: 2012-09-23
End: 2012-10-05

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: 720943
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=6314
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: 720944
Download URL: https://coast.noaa.gov/htdata/raster2/elevation/OLC_green_peter_2012_6314
Distributor:
File Name: Bulk Download
Description:

Simple download of data files.

URLs

URL 1

CC ID: 720946
URL: https://coast.noaa.gov/dataviewer
URL Type:
Online Resource

URL 2

CC ID: 720947
URL: https://coast.noaa.gov
URL Type:
Online Resource

Activity Log

Activity Log 1

CC ID: 663198
Activity Date/Time: 2017-07-06
Description:

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 663197
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: 718515
Activity Date/Time: 2018-02-08
Description:

Partial upload of Positional Accuracy fields only.

Activity Log 4

CC ID: 720945
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 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 Tillamook-Yamill study area, 3,636 RTK points were collected. No independent survey data were collected, thus statistics are "Compiled to Meet".

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: 0.04 meters, Test that produced the value: Compiled to meet root mean square error.

Completeness Report:

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

Conceptual Consistency:

Upon receipt from vendor (WSI), 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: 1150870
Description:

The LiDAR survey occurred between September 23rd and

October 5th, 2012, utilizing Leica ALS60 and ALS50 sensors mounted in either a Cessna Caravan 208B or a Partenavia P.68 aircraft. The systems were programmed to emit single pulses at around 100 kHz and flown at 900 m AGL, capturing a scan angle of 30 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.

The study area was surveyed with opposing flight line side-lap of greater than 60% with at least 100% 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.

To solve for laser point position, it is vital to have an ac- The LiDAR survey utilized Leica ALS50 and ALS60 sensors mounted in either Cessna Caravan 208B or Partenavia P.68 aircrafts. Depending on the pairing of sensor and aircraft, the systems were programmed to emit laser pulses Airborne Survey Project Flightlines curate description of aircraft position and attitude. Aircraft position is described as x, y and z and measured twice per second (2 Hz) by an onboard differential GPS unit. Aircraft attitude is measured 200 times per second (200 Hz) as pitch, roll and yaw (heading) from an onboard inertial measurement unit (IMU).

Process Date/Time: 2012-01-01 00:00:00

Process Step 2

CC ID: 1150871
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: 49447
GUID: gov.noaa.nmfs.inport:49447
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