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Item Identification
Keywords
Physical Location
Data Set Info
Support Roles
Extents
Spatial Info
Access Info
Distribution Info
URLs
Tech Environment
Data Quality
Data Management
Lineage
Catalog Details

Summary

Short Citation
OCM Partners, 2024: 2019 OLC Lidar: Portland Metro, OR, https://www.fisheries.noaa.gov/inport/item/71982.
Full Citation Examples

Abstract

Lidar-derived elevation data for the 2019 Oregon Lidar Consortium (OLC) West Metro 3DEP project area. The project area (PA) encompasses 486,551 acres. Data are within Multnomah County, Oregon. The nominal pulse density is eight pulses per square meter. Points that were determined to be geometrically invalid, or invalid surface returns, were removed from the data set. The hydro-flattened bare earth (BE) digital elevation model (DEM) raster grid cell size is 1 meter. The native projection is Albers Equal Area Conic, units are in meters. The native horizontal datum is North American Datum of 1983 (NAD83(2011)); the native vertical datum is North American Vertical Datum of 1988 (NAVD88); (Geoid 12B). Quantum Spatial Inc. collected the lidar and created this dataset in partnership with the Oregon Department of Geology and Mineral Industries (DOGAMI).

Data were subsequently reprocessed to Entwine Point Tile (EPT) format in web mercator projection with vertical meters. The EPT form of the data is used by the NOAA Digital Coast Data Access Viewer, which this metadata record is supporting. Additional processing steps may have been done by the Data Access Viewer and will be recorded in the lineage section.

Distribution Information

  • Not Applicable

    Create custom data files by choosing data area, product type, map projection, file format, datum, etc. A new metadata will be produced to reflect your request using this record as a base. Change to an orthometric vertical datum is one of the many options.

  • LAS/LAZ - LASer

    JSON file describing an entwine point tiles repository of the dataset.

Access Constraints:

None

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be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions.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.

Controlled Theme Keywords

COASTAL ELEVATION, TERRAIN ELEVATION

Child Items

No Child Items for this record.

Contact Information

Point of Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202

Metadata Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202

Extents

Geographic Area 1

-123.31° W, -122.45° E, 45.7° N, 45.238° S

Time Frame 1
2019-05-08 - 2019-08-31

Item Identification

Title: 2019 OLC Lidar: Portland Metro, OR
Status: Completed
Publication Date: 2020-07-15
Abstract:

Lidar-derived elevation data for the 2019 Oregon Lidar Consortium (OLC) West Metro 3DEP project area. The project area (PA) encompasses 486,551 acres. Data are within Multnomah County, Oregon. The nominal pulse density is eight pulses per square meter. Points that were determined to be geometrically invalid, or invalid surface returns, were removed from the data set. The hydro-flattened bare earth (BE) digital elevation model (DEM) raster grid cell size is 1 meter. The native projection is Albers Equal Area Conic, units are in meters. The native horizontal datum is North American Datum of 1983 (NAD83(2011)); the native vertical datum is North American Vertical Datum of 1988 (NAVD88); (Geoid 12B). Quantum Spatial Inc. collected the lidar and created this dataset in partnership with the Oregon Department of Geology and Mineral Industries (DOGAMI).

Data were subsequently reprocessed to Entwine Point Tile (EPT) format in web mercator projection with vertical meters. The EPT form of the data is used by the NOAA Digital Coast Data Access Viewer, which this metadata record is supporting. Additional processing steps may have been done by the Data Access Viewer and will be recorded in the lineage section.

Purpose:

This dataset provides high resolution elevation data that is used to produce three-dimensional models of the earth surface for the purpose of managing natural resources and mapping natural hazards.

Supplemental Information:

CONTRACTOR: Quantum Spatial, Inc.

All ground survey data, Lidar data acquisition, calibration, and follow-on processing were completed by the prime contractor, Quantum Spatial, Inc.

The following are the USGS lidar fields in JSON:

{

"ldrinfo" : {

"ldrspec" : "Exhibit A of Amendment 7 to Price Agreement 7525",

"ldrsens" : "Riegl 1560i",

"ldrmaxnr" : "unlimited",

"ldrnps" : "0.29 m",

"ldrdens" : "12 PPSM",

"ldranps" : "0.29 m",

"ldradens" : "12 PPSM",

"ldrfltht" : "1200 m",

"ldrfltsp" : "105 kts",

"ldrscana" : "58.5 degrees",

"ldrscanr" : "344",

"ldrpulsr" : "2000 kHz",

"ldrpulsd" : "3 ns",

"ldrpulsw" : "0.25 m",

"ldrwavel" : "1064 nm",

"ldrmpia" : "1",

"ldrbmdiv" : "0.25 mrad",

"ldrswatw" : "1348 m",

"ldrswato" : "60%",

"ldrgeoid" : "Geoid 12B"

},

"ldraccur" : {

"ldrchacc" : "0.24",

"rawnva" : "0.077 m",

"rawnvan" : "73"

},

"lasinfo" : {

"lasver" : "1.4",

"lasprf" : "6",

"laswheld" : "Not applicable",

"lasolap" : "Not applicable",

"lasintr" : "16",

"lasclass" : {

"clascode" : "1",

"clasitem" : "Processed, but Unclassified"

},

"lasclass" : {

"clascode" : "2",

"clasitem" : "Bare-Earth Ground"

},

"lasclass" : {

"clascode" : "7",

"clasitem" : "Low Noise"

},

"lasclass" : {

"clascode" : "9",

"clasitem" : "In-land Water"

},

"lasclass" : {

"clascode" : "17",

"clasitem" : "Bridge Decks"

},

"lasclass" : {

"clascode" : "18",

"clasitem" : "High Noise"

},

"lasclass" : {

"clascode" : "20",

"clasitem" : "Ignored Grounds Near Breakline"

}

}}

Keywords

Theme Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION

Spatial Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > LAND SURFACE

Instrument Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Instrument Keywords
LIDAR > Light Detection and Ranging

Platform Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Platform Keywords
Airplane > Airplane

Physical Location

Organization: Office for Coastal Management
City: Charleston
State/Province: SC

Data Set Information

Data Set Scope Code: Data Set
Data Set Type: Elevation
Maintenance Frequency: None Planned
Data Presentation Form: Model (digital)
Distribution Liability:

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 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. Acknowledgment of Oregon Department of Geology and Industries (DOGAMI) would be appreciated for products derived from these data.

Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners

Data Set Credit: USGS, Oregon Lidar Consortium, Quantum Spatial, Inc.

Support Roles

Data Steward

CC ID: 1321845
Date Effective From: 2024
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: 1321844
Date Effective From: 2024
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: 1321846
Date Effective From: 2024
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: 1321847
Date Effective From: 2024
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: 1321850
W° Bound: -123.31
E° Bound: -122.45
N° Bound: 45.7
S° Bound: 45.238

Extent Group 1 / Time Frame 1

CC ID: 1321849
Time Frame Type: Range
Start: 2019-05-08
End: 2019-08-31

Spatial Information

Spatial Resolution

Horizontal Distance: 0.35 Meter

Spatial Representation

Representations Used

Grid: No
Vector: Yes
Text / Table: No
TIN: No
Stereo Model: No
Video: No

Vector Representation 1

CC ID: 1321838
Point Object Present?: Yes
Point Object Count: 32359310582

Reference Systems

Reference System 1

CC ID: 1321871

Coordinate Reference System

CRS Type: Projected
EPSG Code: EPSG:3857
EPSG Name: WGS 84 / Pseudo-Mercator
See Full Coordinate Reference System Information

Reference System 2

CC ID: 1321870

Coordinate Reference System

CRS Type: Vertical
EPSG Code: EPSG:5703
EPSG Name: NAVD88 height
See Full Coordinate Reference System Information

Access Information

Security Class: Unclassified
Data Access Procedure:

Data is available online for bulk or custom downloads

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: 1321851
Start Date: 2024-01-31
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=10044/details/10044
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2024 - Present)
File Name: Customized Download
Description:

Create custom data files by choosing data area, product type, map projection, file format, datum, etc. A new metadata will be produced to reflect your request using this record as a base. Change to an orthometric vertical datum is one of the many options.

Distribution Format: Not Applicable
Compression: Zip

Distribution 2

CC ID: 1321853
Start Date: 2024-01-31
End Date: Present
Download URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/OR_OLCMetro_2019/ept.json
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2024 - Present)
File Name: Entwine Point Tile (USGS)
Description:

JSON file describing an entwine point tiles repository of the dataset.

Distribution Format: LAS/LAZ - LASer
Compression: LAZ

URLs

URL 1

CC ID: 1321841
URL: https://usgs.entwine.io/data/view.html?r=%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/OR_OLCMetro_2019%22
Name: 3D data browser
URL Type:
Online Resource
File Resource Format: Browser app
Description:

Online 3D browser allowing viewing and interrogation of the point cloud.

URL 2

CC ID: 1321842
URL: https://coast.noaa.gov/dataviewer/
Name: NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV)
URL Type:
Online Resource
File Resource Format: HTML
Description:

The Data Access Viewer (DAV) allows a user to search for and download elevation, imagery, and land cover data for the coastal U.S. and its territories. The data, hosted by the NOAA Office for Coastal Management, can be customized and requested for free download through a checkout interface. An email provides a link to the customized data, while the original data set is available through a link within the viewer.

URL 3

CC ID: 1321872
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/OR_OLCMetro_2019_A19/OR_OLCMetro_2019/
Name: Bulk Download
URL Type:
Online Resource
File Resource Format: LAZ
Description:

USGS rockyweb link to original LAZ files.

Technical Environment

Description:

LiDAR Mapping Suite 2.4, Applanix PosPac 7.1, Microstation Connect, TerraScan Version 19, TerraModeler Version 19, TerraMatch Version 19, ESRI ArcGIS 10.3.1, Windows 10 Operating System

Data Quality

Vertical Positional Accuracy:

Contractor Provided:

The project specifications require that only Non-Vegetated Vertical Accuracy (NVA) be computed for raw lidar point cloud swath files. The required accuracy (ACCz) is: 19.6 cm at a 95% confidence level, derived according to NSSDA (i.e., based on RMSE of 10 cm in the "bare earth" and "urban" land cover classes). The Raw Swath NVA was tested with 73 checkpoints located in bare earth and urban (non-vegetated) areas. These checkpoints were not used in the calibration or post processing of the lidar point cloud data. The checkpoints were distributed throughout the project area and were surveyed using GPS techniques. See survey report for additional survey methodologies. Elevations from the unclassified lidar surface were measured for the x,y location of each check point. Elevations interpolated from the lidar surface were then compared to the elevation values of the surveyed control points. AccuracyZ has been tested to meet 19.6 cm or better Non-Vegetated Vertical Accuracy at 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASRPS Guidelines.

The NVA of the raw lidar point cloud swath files was calculated against TINs derived from the final calibrated and controlled swath data using 73 independent checkpoints located in Bare Earth and Urban land cover classes. Tested 0.081 meters NVA at a 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA).

USGS Determined Lidar Point Cloud:

NVA RMSEz (cm) = 3.73

NVA at 95% confidence level (cm) = 7.31

VVA at 95th percentile (cm) = 18.43

Completeness Report:

A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist.

Conceptual Consistency:

Data covers the entire area specified for this project.

Data Management

Have Resources for Management of these Data Been Identified?: Yes
Approximate Percentage of Budget for these Data Devoted to Data Management: Unknown
Do these Data Comply with the Data Access Directive?: Yes
Actual or Planned Long-Term Data Archive Location: NCEI-NC
How Will the Data Be Protected from Accidental or Malicious Modification or Deletion Prior to Receipt by the Archive?:

Data is backed up to cloud storage.

Lineage

Sources

Entwine Point Tiles

CC ID: 1321873
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: USGS
Citation URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/OR_OLCMetro_2019/ept.json
Citation URL Name: Entwine Point Tiles JSON
Source Contribution:

Data referenced by the Digital Coast Data Access Viewer.

Process Steps

Process Step 1

CC ID: 1321834
Description:

Lidar data acquisition occurred between May 8, 2019 and August 31, 2019. The survey utilized the Riegl 1560i laser systems mounted in a Cessna Caravan. Near nadir scan angles were used to increase penetration of vegetation to ground surfaces. Ground level GPS and aircraft IMU were collected during the flight. Processing.1. Airborne GPS and IMU data were merged to develop a Single Best Estimate (SBET) of the lidar system trajectory for each flight line. 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 Date/Time: 2019-12-10 00:00:00

Process Step 2

CC ID: 1321835
Description:

Lidar Post-Processing: The calibrated and controlled lidar swaths were processed using automatic point classification routines in proprietary software. These routines operate against the entire collection (all swaths, all lifts), eliminating character differences between files. Proprietary software was used to thin this dataset from a pulse density of approximately 60 ppsm to the target 8 ppsm. The software randomly selects pulses to remove, including all returns associated, and keeps a user specified percentage of pulses to obtain desired point density. Data were then distributed as virtual tiles to experienced lidar analysts for localized automatic classification, manual editing, and peer-based QC checks. Supervisory QC monitoring of work in progress and completed editing ensured consistency of classification character and adherence to project requirements across the entire project. All classification tags were stored in the original swath files. After completion of classification and final QC approval, the NVA and VVA for the project were calculated. Sample areas for each land cover type present in the project were extracted and forwarded to the client, along with the results of the accuracy tests. Upon acceptance, the complete classified lidar swath files were delivered to the client. Points that were determined to be geometrically invalid, or invalid surface returns, were removed from the data set.

Process Date/Time: 2019-12-10 00:00:00

Process Step 3

CC ID: 1321836
Description:

Hydro-Flattened Raster DEM Processing: Class 2 (Ground) LiDAR points in conjunction with the hydro-breaklines were used to create a 1-meter hydro-flattened raster DEM. Using automated scripting routines within LasTools, an GeoTIFF file was created for each tile. Each surface is reviewed using ArcMap to check for any surface anomalies or incorrect elevations found within the surface.

Process Date/Time: 2019-12-10 00:00:00

Process Step 4

CC ID: 1321874
Description:

Data were converted to Entwine Point Tiles (EPT) in Web Mercator projection and units of meters by USGS. NOAA is leveraging the EPT files for use in the Digital Coast Data Access Viewer and created this metadata to support that usage.

Process Date/Time: 2024-01-31 00:00:00
Process Contact: Office for Coastal Management (OCM)
Source: Entwine Point Tiles

Catalog Details

Catalog Item ID: 71982
GUID: gov.noaa.nmfs.inport:71982
Metadata Record Created By: Blake Waring
Metadata Record Created: 2024-01-31 14:05+0000
Metadata Record Last Modified By: Blake Waring
Metadata Record Last Modified: 2024-01-31 15:12+0000
Metadata Record Published: 2024-01-31
Owner Org: OCMP
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2024-01-31
Metadata Review Frequency: 3 Years
Metadata Next Review Date: 2027-01-31