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Physical Location
Data Set Info
Support Roles
Extents
Spatial Info
Access Info
Distribution Info
URLs
Tech Environment
Data Quality
Lineage
Related Items
Catalog Details

Summary

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Short Citation
OCM Partners, 2024: 2018 OLC Lidar DEM: Morrow County, OR, https://www.fisheries.noaa.gov/inport/item/58240.
Full Citation Examples

Abstract

No metadata record was provided for this data set. This record was created by the NOAA Office for Coastal Management (OCM) using information from the 3DEP Hydroflattened DEM metadata and making a minor adjustment to Process Step 3.

This GIS dataset contains Bare Earth (BE) raster grids depicting lidar-derived elevation data for Oregon Lidar Consortium (OLC) Morrow County project area. The BE raster dataset encompasses 801,116 acres within Morrow County County in Oregon. The nominal pulse density is eight pulses per square meter. The bare earth (BE) digital elevation model (DEM) raster grid cell size is 1 meter. The native projection was UTM Zones 10 and 11, 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 data set in partnership with the Oregon Department of Geology and Mineral Industries (DOGAMI).

In addition to these bare earth Digital Elevation Model (DEM) data, the lidar point data that these DEM data were created from, and the hydro breaklines are also available. These data are available for download at the link provided in the URL section of this metadata record.

Distribution Information

  • Create custom data files by choosing data area, map projection, file format, etc. A new metadata will be produced to reflect your request using this record as a base.

  • GeoTIFF

    Bulk download of data files in the original coordinate system.

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be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions.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

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

-120.569414° W, -119.048421° E, 45.923056° N, 44.546486° S

Time Frame 1
2018-10-03 - 2018-11-15

Item Identification

Title: 2018 OLC Lidar DEM: Morrow County, OR
Short Name: or2018_morrow_dem_m8933_metadata
Status: Completed
Publication Date: 2019-04-05
Abstract:

No metadata record was provided for this data set. This record was created by the NOAA Office for Coastal Management (OCM) using information from the 3DEP Hydroflattened DEM metadata and making a minor adjustment to Process Step 3.

This GIS dataset contains Bare Earth (BE) raster grids depicting lidar-derived elevation data for Oregon Lidar Consortium (OLC) Morrow County project area. The BE raster dataset encompasses 801,116 acres within Morrow County County in Oregon. The nominal pulse density is eight pulses per square meter. The bare earth (BE) digital elevation model (DEM) raster grid cell size is 1 meter. The native projection was UTM Zones 10 and 11, 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 data set in partnership with the Oregon Department of Geology and Mineral Industries (DOGAMI).

In addition to these bare earth Digital Elevation Model (DEM) data, the lidar point data that these DEM data were created from, and the hydro breaklines are also available. These data are available for download at the link provided in the URL section of this metadata record.

Purpose:

This data set 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
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 quadrangle
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 > OREGON
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > LAND SURFACE
UNCONTROLLED
Oregon Geospatial Enterprise Office Metadata Keyword Thesaurus Gilliam County
Oregon Geospatial Enterprise Office Metadata Keyword Thesaurus Grant County
Oregon Geospatial Enterprise Office Metadata Keyword Thesaurus Morrow County
Oregon Geospatial Enterprise Office Metadata Keyword Thesaurus North America
Oregon Geospatial Enterprise Office Metadata Keyword Thesaurus Oregon
Oregon Geospatial Enterprise Office Metadata Keyword Thesaurus Sherman County
Oregon Geospatial Enterprise Office Metadata Keyword Thesaurus Umatilla County
Oregon Geospatial Enterprise Office Metadata Keyword Thesaurus USA

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
Global Change Master Directory (GCMD) Platform Keywords
DEM > Digital Elevation Model

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
Data Presentation Form: Model (digital)
Distribution Liability:

Any conclusions drawn from the analysis of this information are not the responsibility of Quantum Spatial, Inc, the Oregon Lidar Consortium (OLC), DOGAMI, NOAA, the Office for Coastal Management or its partners.

Data Set Credit: Quantum Spatial, Inc.

Support Roles

Data Steward

CC ID: 886992
Date Effective From: 2019
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: 886991
Date Effective From: 2019
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: 886993
Date Effective From: 2019
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: 886994
Date Effective From: 2019
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: 1293139
W° Bound: -120.569414
E° Bound: -119.048421
N° Bound: 45.923056
S° Bound: 44.546486

Extent Group 1 / Time Frame 1

CC ID: 1293138
Time Frame Type: Range
Start: 2018-10-03
End: 2018-11-15

Spatial Information

Reference Systems

Reference System 1

CC ID: 1293134

Coordinate Reference System

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

Reference System 2

CC ID: 1293135

Coordinate Reference System

CRS Type: Projected
EPSG Code: EPSG:6339
EPSG Name: NAD83(2011) / UTM zone 10N
See Full Coordinate Reference System Information

Reference System 3

CC ID: 1293136

Coordinate Reference System

CRS Type: Projected
EPSG Code: EPSG:6340
EPSG Name: NAD83(2011) / UTM zone 11N
See Full Coordinate Reference System Information

Access Information

Security Class: Unclassified
Data Access Procedure:

Data is available online for bulk and 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: 886998
Start Date: 2019-11-21
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8933
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2019 - Present)
File Name: Customized Download
Description:

Create custom data files by choosing data area, map projection, file format, etc. A new metadata will be produced to reflect your request using this record as a base.

File Type (Deprecated): Zip
Compression: Zip

Distribution 2

CC ID: 886999
Start Date: 2019-11-21
End Date: Present
Download URL: https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/OLC_Morrow_DEM_2018_8933/index.html
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2019 - Present)
File Name: Bulk Download
Description:

Bulk download of data files in the original coordinate system.

File Type (Deprecated): GeoTIFF
Distribution Format: GeoTIFF

URLs

URL 1

CC ID: 886988
URL: https://coast.noaa.gov/
Name: NOAA's Office for Coastal Management (OCM) website
URL Type:
Online Resource
File Resource Format: HTML
Description:

Information on the NOAA Office for Coastal Management (OCM)

URL 2

CC ID: 886989
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: 887032
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8932/supplemental/or2018_morrow_m8932.kmz
Name: Browse Graphic
URL Type:
Browse Graphic
Description:

This graphic displays the footprint for this lidar data set.

URL 4

CC ID: 887033
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8932/supplemental/OLC_Morrow_County_3DEP_Data_Report_2018.pdf
Name: Data set report
URL Type:
Online Resource
Description:

Link to the data set report.

URL 5

CC ID: 887034
URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8932
URL Type:
Online Resource
Description:

Link to custom download, from the Data Access Viewer (DAV), the lidar point data from which these raster Digital Elevation Model (DEM) data were created.

URL 6

CC ID: 887035
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8932/breaklines/
URL Type:
Online Resource
Description:

Link to the hydro breaklines.

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 66 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 63 checkpoints located in bare earth and urban (non-vegetated) areas; the 2. Vegetated Vertical Accuracy (VVA): VVA is reported for "forested", "shrub", and "tall grass" 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 63 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.

Tested 0.076 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 66 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). The NVA of the DEM was calculated using 66 independent checkpoints located in the Bare Earth and Urban land cover categories.

Tested 0.152 meters VVA was calculated using 63 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.

Lineage

Sources

See the survey report PDF for this project area.

CC ID: 1293127
Contact Role Type: Originator
Contact Type: Organization
Contact Name: Quantum Spatial, Inc.
Publish Date: 2019-04-05
Extent Type: Discrete
Extent Start Date/Time: 2018-11-16
Citation URL: https://quantumspatial.com/
Source Contribution:

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

See the survey report PDF for this project area.

CC ID: 1293129
Publish Date: 2019-04-05
Extent Type: Range
Extent Start Date/Time: 2018-10-03
Extent End Date/Time: 2018-11-15
Source Contribution:

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

See the survey report PDF for this project area.

CC ID: 1293128
Publish Date: 2019-04-05
Extent Type: Discrete
Extent Start Date/Time: 2018-11-16
Scale Denominator: 50
Source Contribution:

These data was used to classify LiDAR point cloud data.

Process Steps

Process Step 1

CC ID: 1293130
Description:

Lidar data acquisition occured between October 3, 2018, and November 15, 2018. The survey utilized the Riegl 1560i laser systems mounted in a Piper Navajo. 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: 2018-11-16 00:00:00

Process Step 2

CC ID: 1293131
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: 2018-11-16 00:00:00

Process Step 3

CC ID: 1293132
Description:

Raster DEM Processing: Class 2 (Ground) LiDAR points were used to create a 1-meter 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: 2018-11-16 00:00:00

Process Step 4

CC ID: 1293133
Description:

The NOAA Office for Coastal Management (OCM) received 71 raster DEM files (UTM10 - 10 files, UTM11 - 61 files) in ESRI ArcGrid format from DOGAMI. The data were in UTM Zones 10 and 11, NAD83(2011), meters coordinates and NAVD88 (Geoid12b) elevations in meters. The bare earth raster files were at a 1 m grid spacing. No metadata record was provided for this data set. This record was created by the NOAA Office for Coastal Management (OCM) using information from the 3DEP Hydroflattened DEM metadata and making a minor adjustment (removal of use of hydro breaklines to hydroflatten) to Process Step 3.

OCM performed the following processing on the data for Digital Coast storage and provisioning purposes:

1. Used internal script to assign the EPSG codes (horizontal - 6339 for UTM10 files and 6340 for UTM11 files, vertical - 5703) and convert to GeoTiff format.

2. Copied to the files to https.

Process Date/Time: 2019-11-15 00:00:00
Process Contact: Office for Coastal Management (OCM)

Related Items

Item Type Relationship Type Title
Data Set (DS) Cross Reference 2018 OLC Lidar: Morrow County, OR

Catalog Details

Catalog Item ID: 58240
GUID: gov.noaa.nmfs.inport:58240
Metadata Record Created By: Rebecca Mataosky
Metadata Record Created: 2019-11-21 09:35+0000
Metadata Record Last Modified By: Kirk Waters
Metadata Record Last Modified: 2024-01-10 19:09+0000
Metadata Record Published: 2024-01-10
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