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Short Citation:
OCM Partners, 2023: 2014 Oregon Department of Geology and Mineral Industries (DOGAMI) Oregon Lidar DEM: Metro Portland, OR, https://www.fisheries.noaa.gov/inport/item/49455.

Item Identification

Title: 2014 Oregon Department of Geology and Mineral Industries (DOGAMI) Oregon Lidar DEM: Metro Portland, OR
Short Name: or2014_olc_metro_DEM_m6378_metadata
Status: Completed
Publication Date: 2017-06-15
Abstract:

The dataset encompasses 1221.6 square miles in portions of the greater Portland Metro area in the state of Oregon. The highest hit digital surface models (DSM) represent the earth's surface with all vegetation and human-made structures included. The highest hit DSMs were derived from lidar data using TIN processing of the all-return point cloud. The bare earth digital elevation model (DEM) represents the earth's surface with all vegetation and human-made structures removed. The bare earth DEMs were derived from lidar data using TIN processing of the ground point returns. The DSM and DEM grid cell size is 3 feet. The projection was originally Oregon Statewide Lambert Conformal Conic, units are in International Feet. The horizontal datum is NAD 83 (2011) and the vertical datum was NAVD88 (Geoid 12A). Some elevation values have been interpolated across areas in the models where there is no elevation data (e.g. over water, over dense vegetation). Watershed Sciences, Inc. collected the lidar and created this data set for the Oregon Department of Geology and Mineral Industries (DOGAMI). Watershed Sciences, Inc. collected the lidar and created this data set for the Oregon Department of Geology and Mineral Industries (DOGAMI).

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:

12121

Supplemental Information:

A final report for this project may be viewed at:

https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/6359/supplemental/OLC_Metro_2014_Survey_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: 663474
Date Effective From: 2017-06-15
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: 663476
Date Effective From: 2017-06-15
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: 663477
Date Effective From: 2017-06-15
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: 663475
Date Effective From: 2017-06-15
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: 1151206
W° Bound: -123.779
E° Bound: -121.794
N° Bound: 46.173
S° Bound: 45.199

Extent Group 1 / Time Frame 1

CC ID: 1151205
Time Frame Type: Range
Start: 2014-07-09
End: 2014-09-07

Spatial Information

Spatial Representation

Representations Used

Grid: Yes

Reference Systems

Reference System 1

CC ID: 1151202

Coordinate Reference System

CRS Type: Projected
EPSG Code: EPSG:6557
EPSG Name: NAD83(2011) / Oregon GIC Lambert (ft)
See Full Coordinate Reference System Information

Reference System 2

CC ID: 1151203

Coordinate Reference System

CRS Type: Vertical
EPSG Code: EPSG:8228
EPSG Name: NAVD88 height (ft)
See Full Coordinate Reference System Information

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. This product is for informational purposes and may not have been prepared for or be suitable for legal, engineering, surveying, or site specific purposes. Users of this information should review or consult the primary data and information sources to ascertain the usability of the information.

Distribution Information

Distribution 1

CC ID: 720985
Start Date: 2106
End Date: Present
Download URL: https://coast.noaa.gov/htdata/raster2/elevation/OLC_metro_2014_6378
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2017-06-15 - Present)
File Name: Bulk Download
Description:

Simple download of data files.

File Type: GeoTIFF

Distribution 2

CC ID: 720984
Start Date: 2016
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=6378
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2017-06-15 - Present)
File Name: Customized Download
Description:

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

File Type: Zip

URLs

URL 1

CC ID: 720988
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/6359/supplemental/OLC_Metro_2014_Survey_Report.pdf
Name: Survey Report
URL Type:
Online Resource
File Resource Format: pdf
Description:

Survey report from the contractor.

URL 2

CC ID: 1112181
URL: https://coast.noaa.gov/htdata/raster2/elevation/OLC_metro_2014_6378/tileindex_OLC_metro_2014.zip
Name: tile index shapefile
URL Type:
Online Resource
File Resource Format: zip
Description:

Tile index in shapefile format with the bounds, name, and URL for each DEM tile in the dataset.

Activity Log

Activity Log 1

CC ID: 663501
Activity Date/Time: 2017-09-26
Description:

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 663500
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: 718531
Activity Date/Time: 2018-02-08
Description:

Partial upload of Positional Accuracy fields only.

Activity Log 4

CC ID: 720986
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 compares the delivered bare-earth digital elevation models (DEMS) with independent ground check points (GCPs) collected by DOGAMI staff. These variations in elevation values were used to produce a mean vertical error and vertical root mean square error (RMSE) value for the entire delivered data set. Project specifications list the maximum acceptable mean vertical offset to be 0.20 meters (0.65 feet) and the maximum vertical RSME to not exceed 0.0925 meters (0.303 feet).

A total of 2425 measured GCP's were obtained in the Metro project area and were compared with the lidar elevation grids. The data delivered to DOGAMI was found to have a mean vertical offset of -0.094 meters (0.308 feet) and an RMSE value of 0.053 meters (0.174 feet). Offset values ranged from -0.667 meters (-2.19 feet) to 0.772 meters (2.53 feet).

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: 0.053 meters, Test that produced the value: The approach adopted for DOGAMI lidar surveys was comprised of three components:

1) Verify the horizontal and vertical coordinates established by Watershed Sciences for a select number of survey monuments used to calibrate the lidar survey. These surveys typically involved a minimum of two hours of GPS occupation over a known point. The collected data were then submitted to the National Geodetic Survey (NGS) Online Positioning User Service (OPUS) for post-processing against several Continuously Operating Reference Stations (CORS) operated by the NGS.

2) Collect GCP's along relatively flat surfaces (roads, paths, parking lots etc.). This step involved the collection of both continuous measurements (from a vehicle as well as from a backpack) as well as static measurements (typically 5 epochs).

3) Having collected the GCP data, the GPS data was post-processed using Trimble Business Center software. Data post-processing typically involved calibrations against at least three CORS stations as well as from local site calibrations performed in the field using those benchmarks that had been independently verified. Data is post processed to refine measurements so that horizontal and vertical errors are less than 0.02 meters (0.065 feet). Horizontal accuracy of data is tested by reoccupying a sample subset of survey monuments used for processing of lidar data. Each occupation's x and y coordinates are compared with the vendor coordinates for offsets.

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

Sources

DEM files

CC ID: 1151198
Contact Role Type: Originator
Contact Type: Organization
Contact Name: Oregon Lidar Consortium

Process Steps

Process Step 1

CC ID: 1151199
Description:

Acquisition.

LiDAR data acquisition was conducted from July 9th, 2014 to September 7th, 2014. The survey utilized a Leica ALS70 and an Optech

Orion H laser system mounted in a Cessna 208B. Scan angles near nadir were used to increase penetration of vegetation to ground surfaces. Ground level GPS and aircraft IMU were collected during the flight.

Process Date/Time: 2014-07-09 00:00:00

Process Step 2

CC ID: 1151200
Description:

Processing.

1. TRAJECTORY: Aircraft trajectory (position and attitude) were calculated based on on-board GPS and IMU data with post-processing refinement through coincident static GPS collection.

2. POST-PROCESSING: Laser point return coordinates (x,y,z) were computed using sensor-specific post processing software, combining LiDAR return range and intensity information with aircraft trajectory information.

3. INITIAL QAQC: The post-processed LiDAR files were assembled into flight lines and reviewed for gaps and consistency, as well as systematic noise.

4. CALIBRATION: Custom algorithms evaluated individual swaths for misalignments based on IMU configuration as well as aircraft attitude variability. Offsets were resolved through surface and linear matching algorithms that minimize variability in elevation and slope. Descriptive statistics, thresholds, and specifications providing transparency for data calibration are discussed in the accompanying Data Report.

5. GROUND MODELING: Ground classified point cloud was generated through proprietary data processing tools, with settings and thresholds appropriate to landscape and vegetation condition.

6. ARTIFACT FILTRATION: Noise and processing artifacts were filtered using post-processing software and proprietary quality control methods.

7. ACCURACY ASSESSMENT: Vertical accuracy for the LiDAR dataset was assessed against Ground Check Points (GCP) distributed throughout the study area. See the accompanying Data Report for methodology, descriptive statistics, and relevant standards and reporting language.

8. DATA PRODUCT: LiDAR points classified as 'ground' were output as a digital elevation model (DEM).

Process Date/Time: 2014-09-07 00:00:00

Process Step 3

CC ID: 1151201
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 and ingested into the Digital Coast Data Access Viewer system.

Process Date/Time: 2017-09-01 00:00:00
Process Contact: NOAA Office for Coastal Management (NOAA/OCM)
Phone (Voice): (843) 740-1202
Email Address: coastal.info@noaa.gov
Source: DEM files

Catalog Details

Catalog Item ID: 49455
GUID: gov.noaa.nmfs.inport:49455
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