2019 - 2020 OLC Lidar: Upper John Day, OR
Data Set (DS) | OCM Partners (OCMP)GUID: gov.noaa.nmfs.inport:73005 | Updated: July 1, 2024 | Published / External
Summary
Short Citation
OCM Partners, 2025: 2019 - 2020 OLC Lidar: Upper John Day, OR, https://www.fisheries.noaa.gov/inport/item/73005.
Full Citation Examples
Product: These lidar data are processed Classified LAS 1.4 files, formatted to 9,946 individual 3000 ft x 3000 ft tiles; used to create intensity images, 3D breaklines and hydro-flattened DEMs as necessary.
Geographic Extent: The project area encompasses 2,054,958.7 acres and is located in Baker, Grant, Harney, Morrow, Umatilla, Union, and Wheeler County, Oregon.
Dataset Description of Original Data: 2020 OLC Upper John Day 3DEP project called for the planning, acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.3. The data was developed based on the Lambert Conic Conformal projection, units are in International feet. 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). Lidar data was delivered as as processed Classified LAS 1.4 files, formatted to 9,946 individual 3000 ft x 3000 ft tiles, as tiled Intensity Imagery, and as tiled bare earth and highest hit DEMs; all tiled to the same 3000 ft x 3000 ft schema. Points that were determined to be geometrically invalid, or invalid surface returns, were removed from the data set.
Ground Conditions: 2020 LiDAR data were acquired between November 15, 2019 and August 20, 2020, while no snow was on the ground and rivers were at or below normal levels.
This metadata record supports the data entry in the NOAA Digital Coast Data Access Viewer (DAV). For this data set, the DAV is leveraging the Entwine Point Tiles (EPT) hosted by USGS on Amazon Web Services.
Distribution Information
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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.
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LAS/LAZ - LASer
Bulk download of data files in LAZ format, OGIC Lambert NAD83 (2011) international feet coordinates and NAVD88 (Geoid12B) elevations in feet.
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
-120.174585° W,
-118.139182° E,
45.296738° N,
43.94049° S
2019-11-15 - 2020-08-20
Item Identification
Title: | 2019 - 2020 OLC Lidar: Upper John Day, OR |
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Short Name: | or2020_john_day_m10146_metadata |
Status: | Completed |
Creation Date: | 2020 |
Publication Date: | 2021-05-13 |
Abstract: |
Product: These lidar data are processed Classified LAS 1.4 files, formatted to 9,946 individual 3000 ft x 3000 ft tiles; used to create intensity images, 3D breaklines and hydro-flattened DEMs as necessary. Geographic Extent: The project area encompasses 2,054,958.7 acres and is located in Baker, Grant, Harney, Morrow, Umatilla, Union, and Wheeler County, Oregon. Dataset Description of Original Data: 2020 OLC Upper John Day 3DEP project called for the planning, acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.3. The data was developed based on the Lambert Conic Conformal projection, units are in International feet. 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). Lidar data was delivered as as processed Classified LAS 1.4 files, formatted to 9,946 individual 3000 ft x 3000 ft tiles, as tiled Intensity Imagery, and as tiled bare earth and highest hit DEMs; all tiled to the same 3000 ft x 3000 ft schema. Points that were determined to be geometrically invalid, or invalid surface returns, were removed from the data set. Ground Conditions: 2020 LiDAR data were acquired between November 15, 2019 and August 20, 2020, while no snow was on the ground and rivers were at or below normal levels. This metadata record supports the data entry in the NOAA Digital Coast Data Access Viewer (DAV). For this data set, the DAV is leveraging the Entwine Point Tiles (EPT) hosted by USGS on Amazon Web Services. |
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: NV5 Geospatial All ground survey data, Lidar data acquisition, calibration, and follow-on processing were completed by the prime contractor, NV5 Geospatial. The following are the USGS lidar fields in JSON: {
"ldrinfo" : {
"ldrspec" : "U.S. Geological Survey (USGS) - National Geospatial Program (NGP) Lidar Base Specification v1.3", "ldrsens" : "Riegl 1560ii", "ldrmaxnr" : "14", "ldrnps" : "0.35 m", "ldrdens" : "8 PPSM", "ldranps" : "0.35 m", "ldradens" : "8 PPSM", "ldrfltht" : "1950 m", "ldrfltsp" : "145 kts", "ldrscana" : "58.5 degrees", "ldrscanr" : "234", "ldrpulsr" : "1000 kHz", "ldrpulsd" : "3 ns", "ldrpulsw" : "0.25 m", "ldrwavel" : "1064 nm", "ldrmpia" : "1", "ldrbmdiv" : "0.25 mrad", "ldrswatw" : "2000 m", "ldrswato" : "55%", "ldrgeoid" : "Geoid 12B" }, "ldraccur" : {
"ldrchacc" : "0", "rawnva" : "0", "rawnvan" : "0" }, "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 |
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Global Change Master Directory (GCMD) Science Keywords |
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
|
ISO 19115 Topic Category |
elevation
|
Spatial Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Location Keywords |
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
|
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
|
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 |
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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 |
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: | DOGAMI, NV5 Geospatial, USGS |
Support Roles
Data Steward
Date Effective From: | 2024 |
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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: | 2024 |
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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: | 2021 |
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Date Effective To: | |
Contact (Organization): | U.S. Geological Survey |
Address: |
12201 Sunrise Valley Drive Reston, VA 20191 USA |
URL: | USGS Home |
Metadata Contact
Date Effective From: | 2024 |
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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: | 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 |
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Extent Group 1
Extent Group 1 / Geographic Area 1
W° Bound: | -120.174585 | |
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E° Bound: | -118.139182 | |
N° Bound: | 45.296738 | |
S° Bound: | 43.94049 |
Extent Group 1 / Time Frame 1
Time Frame Type: | Range |
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Start: | 2019-11-15 |
End: | 2020-08-20 |
Spatial Information
Spatial Representation
Representations Used
Grid: | No |
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Vector: | Yes |
Text / Table: | No |
TIN: | No |
Stereo Model: | No |
Video: | No |
Vector Representation 1
Point Object Present?: | Yes |
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Point Object Count: | 212557554084 |
Reference Systems
Reference System 1
Coordinate Reference System |
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Reference System 2
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: | 2024-06-26 |
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End Date: | Present |
Download URL: | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=10146/details/10146 |
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
Start Date: | 2021 |
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End Date: | Present |
Download URL: | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/OR_UpperJohnDay_2020_A20/OR_UpperJohnDay_1_2020/LAZ/ |
Distributor: | U.S. Geological Survey (2021 - Present) |
File Name: | Bulk Download |
Description: |
Bulk download of data files in LAZ format, OGIC Lambert NAD83 (2011) international feet coordinates and NAVD88 (Geoid12B) elevations in feet. |
Distribution Format: | LAS/LAZ - LASer |
Compression: | LAZ |
URLs
URL 1
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 2
URL: | https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/OR_UpperJohnDay_2020_A20/USGS_OR_UpperJohnDay_2020_A20_Project_Report.pdf |
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Name: | USGS Project Report |
URL Type: |
Online Resource
|
File Resource Format: | |
Description: |
Link to the USGS Project Report that provides information about the project, vertical accuracy results, and the point classes and sensors used. |
URL 3
URL: | https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/metadata/OR_UpperJohnDay_2020_A20/ |
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Name: | USGS Additional Info |
URL Type: |
Online Resource
|
Description: |
Link to the reports, breaklines, metadata, and spatial metadata. |
URL 4
URL: | https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/OR_UpperJohnDay_2020_A20/OR_UpperJohnDay_1_2020/reports/OLC_Upper_John_Day_2020_Technial_Report.pdf |
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Name: | Lidar Report |
URL Type: |
Online Resource
|
File Resource Format: | |
Description: |
Link to the lidar report |
URL 5
URL: | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/OR_UpperJohnDay_1_2020/ept.json |
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Name: | USGS Entwine Point Tile (EPT) |
URL Type: |
Online Resource
|
File Resource Format: | json |
Description: |
Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud. |
URL 6
URL: | https://usgs.entwine.io/data/view.html?r=%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/OR_UpperJohnDay_1_2020%22 |
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Name: | USGS 3D View |
URL Type: |
Online Resource
|
Description: |
Link to view the point cloud, using the Entwine Point Tile (EPT) format, in the 3D Potree viewer. |
Technical Environment
Description: |
LiDAR Mapping Suite 2.4, Applanix PosPac 7.1, Microstation Connect, TerraScan Version 20, TerraModeler Version 20, TerraMatch Version 20, ESRI ArcGIS 10.3.1, Windows 10 Operating System |
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Data Quality
Vertical Positional Accuracy: |
This data set was produced to meet ASPRS Positional Accuracy Standard for Digital Geospatial Data (2014) for a 10-cm RMSEz Vertical Accuracy Class. Please see ground survey report. USGS Determined Vertical Accuracy Tested NVA RMSEz = 4.99 cm Tested 95th percentile value for VVA is : 21.12 cm For more information see the USGS project report and the lidar report. The links to these reports are provided in the URL section of this metadata record. |
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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. |
Data Management
Have Resources for Management of these Data Been Identified?: | Yes |
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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
Lineage Statement: |
The NOAA Office for Coastal Management (OCM) ingested references to the USGS Entwine Point Tiles (EPT) hosted on Amazon Web Services (AWS) into the Digital Coast Data Access Viewer (DAV). The DAV accesses the point cloud as it resides on AWS under the usgs-lidar-public-container. |
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Sources
USGS AWS Entwine Point Tile (EPT)
Contact Role Type: | Publisher |
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Contact Type: | Organization |
Contact Name: | USGS |
Citation URL: | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/OR_UpperJohnDay_1_2020/ept.json |
Citation URL Name: | Entwine Point Tile (EPT) |
Process Steps
Process Step 1
Description: |
Lidar data acquisition occurred between November 15, 2019 and August 20, 2020. The 2020 survey utilized the Riegl 1560ii laser systems mounted in a Cessna 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. |
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Process Date/Time: | 2021-05-13 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 for the project were calculated. |
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Process Date/Time: | 2020-08-21 00:00:00 |
Process Step 3
Description: |
Raster DEM Processing: Class 2 (Ground) LiDAR points were used to create a 3-foot 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. |
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Process Date/Time: | 2020-08-21 00:00:00 |
Process Step 4
Description: |
Original point clouds in LAS/LAZ format were restructured as Entwine Point Tiles and stored on Amazon Web Services. The data were re-projected horizontally to WGS84 web mercator (EPSG 3857) and the vertical units were converted to meters (NAVD88 Geoid12B). |
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Process Contact: | U.S. Geological Survey |
Process Step 5
Description: |
The NOAA Office for Coastal Management (OCM) created references to the Entwine Point Tiles (EPT) that were ingested into the NOAA Digital Coast Data Access Viewer (DAV). No changes were made to the data. The DAV will access the point cloud as it resides on Amazon Web Services (AWS) under the usgs-lidar-public container. This is the AWS URL being accessed: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/OR_UpperJohnDay_1_2020/ept.json |
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Process Date/Time: | 2024-06-26 00:00:00 |
Process Contact: | Office for Coastal Management (OCM) |
Catalog Details
Catalog Item ID: | 73005 |
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GUID: | gov.noaa.nmfs.inport:73005 |
Metadata Record Created By: | Rebecca Mataosky |
Metadata Record Created: | 2024-06-26 19:54+0000 |
Metadata Record Last Modified By: | Brianna Key |
Metadata Record Last Modified: | 2024-07-01 22:22+0000 |
Metadata Record Published: | 2024-06-27 |
Owner Org: | OCMP |
Metadata Publication Status: | Published Externally |
Do Not Publish?: | N |
Metadata Last Review Date: | 2024-06-27 |
Metadata Review Frequency: | 1 Year |
Metadata Next Review Date: | 2025-06-27 |