2018 OLC Lidar: Morrow County, OR
Data Set (DS) | OCM Partners (OCMP)GUID: gov.noaa.nmfs.inport:58241 | Updated: October 17, 2023 | Published / External
Summary
Short Citation
OCM Partners, 2024: 2018 OLC Lidar: Morrow County, OR, https://www.fisheries.noaa.gov/inport/item/58241.
Full Citation Examples
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 the data report.
This GIS dataset contains the lidar point data depicting lidar-derived elevation data for Oregon Lidar Consortium (OLC) Morrow County project area. The 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 lidar point data, the bare earth Digital Elevation Models (DEM) created from the lidar point data and the hydro breaklines are also available. These data are available for download at the links provided in the URL section of this metadata record.
Distribution Information
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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.
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LAS/LAZ - LASer
Bulk download of data files in the original coordinate system.
None
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be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions.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
https://coast.noaa.gov
Metadata Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202
https://coast.noaa.gov
Extents
-120.569414° W,
-119.048421° E,
45.923056° N,
44.546486° S
2018-10-03 - 2018-11-15
Item Identification
Title: | 2018 OLC Lidar: Morrow County, OR |
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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 the data report. This GIS dataset contains the lidar point data depicting lidar-derived elevation data for Oregon Lidar Consortium (OLC) Morrow County project area. The 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 lidar point data, the bare earth Digital Elevation Models (DEM) created from the lidar point data and the hydro breaklines are also available. These data are available for download at the links 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 |
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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 |
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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 |
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Global Change Master Directory (GCMD) Instrument Keywords |
LIDAR > Light Detection and Ranging
|
Platform Keywords
Thesaurus | Keyword |
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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 |
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City: | Charleston |
State/Province: | SC |
Data Set Information
Data Set Scope Code: | Data Set |
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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
Date Effective From: | 2019 |
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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
Date Effective From: | 2019 |
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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
Date Effective From: | 2019 |
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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
Date Effective From: | 2019 |
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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 |
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Extent Group 1
Extent Group 1 / Geographic Area 1
W° Bound: | -120.569414 | |
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E° Bound: | -119.048421 | |
N° Bound: | 45.923056 | |
S° Bound: | 44.546486 |
Extent Group 1 / Time Frame 1
Time Frame Type: | Range |
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Start: | 2018-10-03 |
End: | 2018-11-15 |
Spatial Information
Spatial Representation
Representations Used
Vector: | Yes |
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Reference Systems
Reference System 1
Coordinate Reference System |
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Access Information
Security Class: | Unclassified |
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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
Start Date: | 2019-11-21 |
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End Date: | Present |
Download URL: | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8932 |
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
Start Date: | 2019-11-21 |
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End Date: | Present |
Download URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8932/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): | LAZ |
Distribution Format: | LAS/LAZ - LASer |
Compression: | Zip |
URLs
URL 1
URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8932/supplemental/OLC_Morrow_County_3DEP_Data_Report_2018.pdf |
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Name: | Data set report |
URL Type: |
Online Resource
|
Description: |
Link to the data set report. |
URL 2
URL: | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8933 |
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URL Type: |
Online Resource
|
Description: |
Link to custom download, from the Data Access Viewer (DAV), the raster Digital Elevation Model (DEM) data that were created from this lidar data set. |
URL 3
URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8932/breaklines/ |
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URL Type: |
Online Resource
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Description: |
Link to the hydro breaklines. |
URL 4
URL: | https://coast.noaa.gov/ |
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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 5
URL: | https://coast.noaa.gov/dataviewer/ |
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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 6
URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8932/supplemental/or2018_morrow_m8932.kmz |
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Name: | Browse Graphic |
URL Type: |
Browse Graphic
|
Description: |
This graphic displays the footprint for this lidar data set. |
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 |
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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. |
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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.
Contact Role Type: | Originator |
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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.
Publish Date: | 2019-04-05 |
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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.
Publish Date: | 2019-04-05 |
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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
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. |
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Process Date/Time: | 2018-11-16 00:00:00 |
Process Step 2
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. |
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Process Date/Time: | 2018-11-16 00:00:00 |
Process Step 3
Description: |
The NOAA Office for Coastal Management (OCM) received 3211 lidar point cloud files (utm zone 10 - 378 files, utm zone 11 - 2833 files) in laz format from DOGAMI. The files contained lidar elevation and intensity measurements. The data were in UTM Zones 10 and 11 (NAD83 2011), meters coordinates and NAVD88 (Geoid12B) elevations in meters. The data were classified as: 1-Unclassified, 2-Ground. OCM processed all classifications of points to the Digital Coast Data Access Viewer (DAV). Classes available on the DAV are: 1, 2. 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 the data report. OCM performed the following processing on the data for Digital Coast storage and provisioning purposes: 1. An internal OCM script was run to check the number of points by classification and by flight ID and the gps and intensity ranges. 2. Internal OCM scripts were run on the laz files to convert from orthometric (NAVD88) elevations to ellipsoid elevations using the Geoid 12B model, to convert from UTM Zones 10 and 11(NAD83 2011), meters coordinates to geographic coordinates, to assign the geokeys, to sort the data by gps time, and zip the data to database and to http. |
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Process Date/Time: | 2019-11-21 00:00:00 |
Process Contact: | Office for Coastal Management (OCM) |
Related Items
Item Type | Relationship Type | Title |
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Data Set (DS) | Cross Reference |
2018 OLC Lidar DEM: Morrow County, OR |
Catalog Details
Catalog Item ID: | 58241 |
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GUID: | gov.noaa.nmfs.inport:58241 |
Metadata Record Created By: | Rebecca Mataosky |
Metadata Record Created: | 2019-11-22 13:24+0000 |
Metadata Record Last Modified By: | SysAdmin InPortAdmin |
Metadata Record Last Modified: | 2023-10-17 16:12+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 |