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Short Citation:
OCM Partners, 2023: 2018 OLC Lidar DEM: Harney County, OR, https://www.fisheries.noaa.gov/inport/item/59006.

Item Identification

Title: 2018 OLC Lidar DEM: Harney County, OR
Status: Completed
Publication Date: 2018-11-29
Abstract:

This metadata record is for the Oregon Lidar Consortium (OLC) Harney 2018 area of interest (AOI) bare-earth, hydro-flattened DEM, which was produced in collaboration with the USGS 3DEP program. The defined project area (DPA) encompasses 128,891 acres, and the buffered project area (BPA) encompasses 133,051 acres. All data are in Harney County, Oregon. The nominal pulse density for the source lidar is eight pulses per square meter. The bare earth (BE) digital elevation model (DEM) raster grid cell size is 1 meter The native projection is Universal Transverse Mercator (UTM) Zone 11N, units are in meters. The native horizontal datum is NAD83(2011) and the native vertical datum is 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).

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.

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 > BATHYMETRY/SEAFLOOR TOPOGRAPHY > BATHYMETRY > COASTAL BATHYMETRY
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
ISO 19115 Topic Category
elevation
UNCONTROLLED
Oregon Geospatial Enterprise Office Metadata Keyword Thesaurus bare earth
Oregon Geospatial Enterprise Office Metadata Keyword Thesaurus digital elevation model (DEM)
Oregon Geospatial Enterprise Office Metadata Keyword Thesaurus hillshade
Oregon Geospatial Enterprise Office Metadata Keyword Thesaurus lidar
Oregon Geospatial Enterprise Office Metadata Keyword Thesaurus topography

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
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > SEA FLOOR
UNCONTROLLED
Oregon Geospatial Enterprise Office Metadata Keyword Thesaurus Continent > North America > United States Of America > Oregon
Oregon Geospatial Enterprise Office Metadata Keyword Thesaurus Continent > North America > United States Of America > Oregon > Harney County

Instrument Keywords

Thesaurus Keyword
UNCONTROLLED
Global Change Master Directory (GCMD) Instrument Keywords Earth Remote Sensing Instruments > Active Remote Sensing > Profilers/Sounders > Lidar/Laser Sounders > LIDAR > Light Detection and Ranging

Platform Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Platform Keywords
AIRCRAFT

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. Acknowledgement 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: OLC / DOGAMI, Quantum Spatial, Inc., USGS

Support Roles

Data Steward

CC ID: 899525
Date Effective From: 2020
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: 899526
Date Effective From: 2020
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: 899527
Date Effective From: 2020
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: 899528
Date Effective From: 2020
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: 1154314
W° Bound: -119.321982
E° Bound: -118.810761
N° Bound: 43.754523
S° Bound: 43.520614

Extent Group 1 / Time Frame 1

CC ID: 1154313
Time Frame Type: Range
Start: 2018-08-03
End: 2018-08-04

Spatial Information

Spatial Resolution

Horizontal Distance: 1.0 Meter

Spatial Representation

Representations Used

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

Vector Representation 1

CC ID: 899538
Point Object Present?: No

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: 899529
Start Date: 2020-03-09
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9048
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2020 - 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.

File Type: Zip
Compression: Zip

Distribution 2

CC ID: 899530
Start Date: 2020-03-09
End Date: Present
Download URL: https://coast.noaa.gov/htdata/raster2/elevation/OLC_harney_DEM_2018_9048
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2020 - Present)
File Name: Bulk Download
Description:

Bulk download of data files in the original coordinate system.

File Type: GeoTIFF (.tif)

URLs

URL 1

CC ID: 899531
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 2

CC ID: 899532
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9044/supplemental/extent_2018_OLC_Harney_m9044.kmz
Name: Browse graphic
URL Type:
Browse Graphic
File Resource Format: KML
Description:

This graphic displays the footprint for this lidar data set.

URL 3

CC ID: 899533
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9044/supplemental/2018_OLC_Harney_Data_Report.pdf
Name: Dataset report
URL Type:
Online Resource
File Resource Format: PDF
Description:

Link to data set report.

Technical Environment

Description:

LiDAR Mapping Suite 2.4, Applanix PosPac 7.1, Microstation Version 8.0, TerraScan Version 16, TerraModeler Version 16, TerraMatch Version 16, ESRI ArcGIS 10.3.1, Windows 7 Operating System

Data Quality

Vertical Positional Accuracy:

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 46 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 project specifications require the accuracy (ACCz) of the derived DEM be calculated and reported in two ways: 1. The required NVA 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. This is a required accuracy. The Bare Earth DEM NVA was tested with 46 checkpoints located in bare earth and urban (non-vegetated) areas; the 2. Vegetated Vertical Accuracy (VVA): VVA is be reported for "forested", "brushland/trees", and "tall weeds/crops" land cover classes. The target VVA is: 29.4 cm at the 95th percentile, derived according to ASPRS Guidelines, Vertical Accuracy Reporting for Lidar Data, i.e., based on the 95th percentile error in all vegetated land cover classes combined. This is a target accuracy. The VVA was tested with 10 checkpoints located in vegetated areas. The checkpoints were distributed throughout the project area and were surveyed using GPS techniques. See survey report for additional survey methodologies. 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.Quantitative value: 0.063 0.070 0.092, Test that produced the value:

Tested 0.063 meters NVA at a 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA). The NVA of the raw lidar point cloud swath files was calculated against TINs derived from the final calibrated and controlled swath data using 46 independent checkpoints located in Bare Earth and Urban land cover classes. (RMSE = 3.2 cm).

Tested 0.070 meters NVA at a 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA). The NVA of the DEM was calculated using 46 independent checkpoints located in the Bare Earth and Urban land cover categories.

Tested 0.092 meters VVA was calculated using 10 checkpoints located in vegetated land cover categories at the 95th percentile, derived according to ASPRS Guidelines, Vertical Accuracy Reporting for Lidar Data. Tested against the DEM.

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-CO
How Will the Data Be Protected from Accidental or Malicious Modification or Deletion Prior to Receipt by the Archive?:

Data is backed up to tape and to cloud storage.

Lineage

Sources

See the survey report PDF for this project area.

CC ID: 1154305
Contact Role Type: Originator
Contact Type: Organization
Contact Name: Quantum Spatial, Inc.
Publish Date: 2018-11-29
Extent Type: Discrete
Extent Start Date/Time: 2018-08-06
Scale Denominator: 50
Source Contribution:

These data was used to classify LiDAR point cloud data.

See the survey report PDF for this project area.

CC ID: 1154306
Contact Role Type: Originator
Contact Type: Organization
Contact Name: Quantum Spatial, Inc.
Publish Date: 2018-11-29
Extent Type: Range
Extent Start Date/Time: 2018-08-03
Extent End Date/Time: 2018-08-04
Source Contribution:

These data were used to assess the vertical accuracy of the LiDAR point cloud data.

See the survey reprot PDF for this project area.

CC ID: 1154307
Contact Role Type: Originator
Contact Type: Organization
Contact Name: Quantum Spatial, Inc.
Publish Date: 2018-11-29
Extent Type: Discrete
Extent Start Date/Time: 2018-08-06
Citation URL: https://quantumspatial.com/
Citation URL Name: Quantum Spatial
Citation URL Description:

Quantum Spatial's Website

Source Contribution:

This data was used, along with GPS/IMU data, to georeference LIDAR point cloud data.

Process Steps

Process Step 1

CC ID: 1154308
Description:

Lidar data acquisition occured between August 3 and 4, 2018. The survey utilized the Optech Galaxy Prime laser systems mounted in a Cessna Caravan 208B. 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: 2028-08-06 00:00:00

Process Step 2

CC ID: 1154309
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. 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.

Process Date/Time: 2018-08-06 00:00:00

Process Step 3

CC ID: 1154310
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 ArcMap, an ESRI GRID file was created for each tile. Each surface is reviewed using Global Mapper to check for any surface anomalies or incorrect elevations found within the surface.

Process Date/Time: 2018-08-06 00:00:00

Process Step 4

CC ID: 1154311
Description:

The NOAA Office for Coastal Management (OCM) received 1,098 IMG files from the Oregon Lidar Consortium/ DOGAMI. The data were in UTM Zone 11N (NAD83 2011) coordinates in meters and NAVD88 (Geoid12b) elevations in meters, at 1-m spatial resolution.

OCM converted the files from .IMG format to Geotiff format using gdal_warp. The files were then assigned the EPSG codes of 6340 (horizontal) and 5703 (vertical) and then copied to https for Digital Coast storage and provisioning purposes.ordinates, to assign the geokeys, to sort the data by gps time and zip the data to database and to http.

Process Contact: Office for Coastal Management (OCM)

Catalog Details

Catalog Item ID: 59006
GUID: gov.noaa.nmfs.inport:59006
Metadata Record Created By: Blake Waring
Metadata Record Created: 2020-03-09 12:22+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