2011 - 2012 OLC Lidar DEM: Union Baker, OR
Data Set (DS) | OCM Partners (OCMP)GUID: gov.noaa.nmfs.inport:63038 | Updated: January 10, 2024 | Published / External
Summary
Short Citation
OCM Partners, 2024: 2011 - 2012 OLC Lidar DEM: Union Baker, OR, https://www.fisheries.noaa.gov/inport/item/63038.
Full Citation Examples
No metadata record for this data set was provided to the NOAA Office for Coastal Management (OCM). This record was created with information from the data report. A link to the data report is provided in the URL section of this metadata record.
WSI collected Light Detection and Ranging (LiDAR) data of the Union Baker Study Area for the Oregon Department of Geology and Mineral Industries (DOGAMI). The total Area of Interest (AOI) and the total area flown (TAF) covers 379,002 acres and 390,797 acres respectively. The TAF acreage is greater than the original AOI acreage due to buffering and flight planning optimization. Union Baker data were delivered in: OGIC (HARN): Projection: Oregon Statewide Lambert Conformal Conic; horizontal and vertical datum: NAD83 (HARN)/NAVD88 (Geoid03); units: International Feet; grid resolution: 3 ft. The acquisition dates were:
Delivery 1: Dec 8 -12, 2011
Delivery 2: May 14 - July 3, 2012
Distribution Information
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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.
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GeoTIFF
Bulk download of DEM files in GeoTIFF format, OR Statewide Lambert Conformal Conic (NAD83 HARN), international feet coordinates, orthometric heights 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be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions.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
-118.239508° W,
-117.6856° E,
45.6077° N,
44.682764° S
2011-12-08 - 2011-12-12
Delivery 1
2012-05-14 - 2012-07-22
Delivery 2
Item Identification
Title: | 2011 - 2012 OLC Lidar DEM: Union Baker, OR |
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Status: | Completed |
Creation Date: | 2012 |
Abstract: |
No metadata record for this data set was provided to the NOAA Office for Coastal Management (OCM). This record was created with information from the data report. A link to the data report is provided in the URL section of this metadata record. WSI collected Light Detection and Ranging (LiDAR) data of the Union Baker Study Area for the Oregon Department of Geology and Mineral Industries (DOGAMI). The total Area of Interest (AOI) and the total area flown (TAF) covers 379,002 acres and 390,797 acres respectively. The TAF acreage is greater than the original AOI acreage due to buffering and flight planning optimization. Union Baker data were delivered in: OGIC (HARN): Projection: Oregon Statewide Lambert Conformal Conic; horizontal and vertical datum: NAD83 (HARN)/NAVD88 (Geoid03); units: International Feet; grid resolution: 3 ft. The acquisition dates were: Delivery 1: Dec 8 -12, 2011 Delivery 2: May 14 - July 3, 2012 |
Purpose: |
This dataset provides high resolution terrain elevation and land cover elevation data in the Union Baker study area. |
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 | |
None | DEM |
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 |
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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
|
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: |
Any conclusions drawn from the analysis of this information are not the responsibility of the Oregon Lidar Consortium (OLC), DOGAMI, NOAA, the Office for Coastal Management or its partners. |
Data Set Credit: | DOGAMI |
Support Roles
Data Steward
Date Effective From: | 2020 |
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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: | 2020 |
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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: | 2020 |
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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: | 2020 |
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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: | -118.239508 | |
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E° Bound: | -117.6856 | |
N° Bound: | 45.6077 | |
S° Bound: | 44.682764 |
Extent Group 1 / Time Frame 1
Time Frame Type: | Range |
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Start: | 2011-12-08 |
End: | 2011-12-12 |
Description: |
Delivery 1 |
Extent Group 1 / Time Frame 2
Time Frame Type: | Range |
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Start: | 2012-05-14 |
End: | 2012-07-22 |
Description: |
Delivery 2 |
Spatial Information
Spatial Representation
Representations Used
Grid: | 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: | 2019-07-10 |
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End Date: | Present |
Download URL: | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9184/details/9184 |
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 (Deprecated): | Zip |
Compression: | Zip |
Distribution 2
Start Date: | 2019-07-10 |
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End Date: | Present |
Download URL: | https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/OLC_Union_Baker_DEM_2012_9184/index.html |
Distributor: | NOAA Office for Coastal Management (NOAA/OCM) (2020 - Present) |
File Name: | Bulk Download |
Description: |
Bulk download of DEM files in GeoTIFF format, OR Statewide Lambert Conformal Conic (NAD83 HARN), international feet coordinates, orthometric heights in feet. |
File Type (Deprecated): | GeoTIFF |
Distribution Format: | GeoTIFF |
Compression: | Zip |
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://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9183/supplemental/OLC_Union_Baker_120831.pdf |
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Name: | Data report |
URL Type: |
Online Resource
|
File Resource Format: | |
Description: |
Data report |
URL 3
URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9183/supplemental/or2012_union_baker_m9183.kmz |
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Name: | Browse graphic |
URL Type: |
Browse Graphic
|
File Resource Format: | KML |
Description: |
This graphic displays the footprint for this lidar data set. |
URL 4
URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9183/supplemental/Union-Baker_Delivery_2_LIDAR_QC_Report.pdf |
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Name: | Report |
URL Type: |
Online Resource
|
File Resource Format: | |
Description: |
DOGAMI Report for Delivery 2 |
URL 5
URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9183/supplemental/OLC_Union-Baker_Delivery_1_LIDAR_Acceptance_Report.pdf |
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Name: | Report |
URL Type: |
Online Resource
|
File Resource Format: | |
Description: |
DOGAMI Report for Delivery 1 |
Data Quality
Horizontal Positional Accuracy: |
DOGAMI Horizontal Accuracy for Delivery 1 and 2: Horizontal accuracies were not specified in agreement since true horizontal accuracy is regarded as a product of the lidar ground foot print. Lidar is referenced to co-acquired GPS base station data that has accuracies far greater than the value of the lidar foot print. The ground footprint is equal to 1/3333rd of above ground flying height. Survey altitude for this acquisition was targeted at 900 meters yielding a ground foot print of 0.27 meters. This value exceeds the typical accuracy value of ground control used to reference the lidar data (<0.01m). Project specifications require the lidar foot print to fall within 0.15 and 0.40 meters. DOGAMI was able to test the horizontal accuracy of survey monuments used to reference the lidar data while conducting vertical control measurements. For internal purposes only, the XY coordinates of survey monuments surveyed by DOGAMI were compared to the survey monuments provided by the vender and in almost every case, the reported results were consistent with those obtained by DOGAMI staff. |
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Vertical Positional Accuracy: |
Watershed Sciences Vertical Accuracy: FVA accuracy reporting is designed to meet guidelines presented in the National Standard for Spatial Data Accuracy (NSSDA) (FGDC, 1998). FVA compares known RTK ground survey points to the closest laser point. FVA uses ground control points in open areas where the LiDAR system has a “very high probability” that the sensor will measure the ground surface and is evaluated at the 95% percentile of RMSEZ. For the Union Baker Study Area, 4,193 RTK points were collected. For this project, no independent survey data were collected, nor were reserved points collected for testing. As such, vertical accuracy statistics are reported as “Compiled to Meet,” in accordance with the ASPRS Guidelines for Vertical Accuracy Reporting for LiDAR Data V1.0 (ASPRS, 2004). Fundamental Vertical accuracy for the entire study area is 9 cm (4 cm RMSE). DOGAMI Vertical Accuracy for Delivery 1: Vertical accuracy analysis consisted of differencing control data and the delivered lidar Digital Elevation Models (DEM) to expose offsets. These offsets were used to produce a mean vertical error and vertical RMSE value for the entire delivered data set. Project specifications list the maximum acceptable mean vertical offset to be 0.20 meters (0.65 feet). A total of 159 measured GCP’s were obtained in the Delivery 1 region and compared with the lidar elevation grids. The data delivered to DOGAMI was found to have a mean vertical offset of -0.038 meters (-0.126 feet) and an RMSE value of 0.053 meters (0.173 ft). Offset values ranged from -0.103 to 0.059 meters. DOGAMI Vertical Accuracy for Delivery 2: Vertical accuracy analysis consisted of differencing control data and the delivered lidar Digital Elevation Models (DEM) to expose offsets. These offsets were used to produce a mean vertical error and vertical RMSE value for the entire delivered data set. Project specifications list the maximum acceptable mean vertical offset to be 0.20 meters (0.65 feet). A total of 8025 measured GCP’s were obtained in the Delivery 2 region and compared with the lidar elevation grids. The data delivered to DOGAMI was found to have a mean vertical offset of -0.050 meters (-0.164 feet) and an RMSE value of 0.070 meters (0.231 ft). Offset values ranged from -0.288 to 0.176 meters. |
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-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
Lineage Statement: |
Watershed Sciences, LLC collected Light Detection and Ranging (LIDAR) data in the Union Baker project area for DOGAMI. NOAA OCM received the data and ingested it into the Digital Coast Data Access Viewer for distribution. |
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Sources
processed lidar data
Contact Role Type: | Originator |
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Contact Type: | Organization |
Contact Name: | Watershed Sciences, LLC |
raw lidar data
Contact Role Type: | Originator |
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Contact Type: | Organization |
Contact Name: | Watershed Sciences, LLC |
Process Steps
Process Step 1
Description: |
The LiDAR survey utilized Leica ALS50, ALS60 and ALS70 sensors mounted in Cessna Caravan 208B and Partenavia P.38 aircrafts. The systems were set to acquire ≥105,000 laser pulses per second (i.e. 105 kHz pulse rate) and flown at 900 and 1400 meters above ground level (AGL), capturing a scan angle of ±14o from nadir1. These settings are developed to yield points with an average native density of ≥8 points per square meter over terrestrial surfaces. The native pulse density is the number of pulses emitted by the LiDAR system. Some types of surfaces (i.e. dense vegetation or water) may return fewer pulses than the laser originally emitted. Therefore, the delivered density can be less than the native density and lightly variable according to distributions of terrain, land cover and water bodies. The study area was surveyed with opposing flight line side-lap of ≥60% (≥100% overlap) to reduce laser shadowing and increase surface laser painting. The system allows up to four range measurements per pulse, and all discernable laser returns were processed for the output dataset. To solve for laser point position, it is vital to have an accurate description of aircraft position and attitude. Aircraft position is described as x, y and z and measured twice per second (2 Hz) by an onboard differential GPS unit. Aircraft attitude is measured 200 times per second (200 Hz) as pitch, roll and yaw (heading) from an onboard inertial measurement unit (IMU). Owing to late seasonal snowpack and contractual deadline restrictions, LiDAR acquisition took place with snow on the ground in upper elevations of the Union Baker survey area, with the approval of DoGAMI. While the presence of an impermanent surface (e.g. snow, water, dunes) can influence data calibration and relative accuracy, the overall calibration statistics for the present data are excellent (see page 13, mean relative accuracy 4 cm; 1σ 5 cm). WSI’s overall assessment of the data is that it is robust and sufficient for analytical applications as long as the user is aware of the presence of snow in isolated areas. |
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Process Date/Time: | 2012-01-01 00:00:00 |
Process Step 2
Description: |
The bare-earth DEMs were created by triangulating all “ground” classified points and inserting 3-D breaklines utilizing TerraSolid’s TerraScan and TerraModeler software. Any ground points within 1 m of the breaklines were reclassified to “ignored-ground” (ASPRS code: 10) before triangulation. |
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Process Date/Time: | 2012-01-01 00:00:00 |
Process Step 3
Description: |
The NOAA Office for Coastal Management (OCM) received 38 bare earth DEM files in ArcGRID format from DOGAMI. The data were in OR Statewide Lambert Conformal Conic (NAD 83 HARN), international feet coordinates and NAVD88 (Geoid03) elevations in feet. The grid spacing was 3 feet. OCM performed the following processing for Digital Coast storage and provisioning purposes: 1. Data were converted to GeoTiff format using GDAL 2.4.0 to comply with the open data policy 2. The horizontal (2994) and vertical (6360) EPSG codes were applied |
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Process Date/Time: | 2020-10-05 00:00:00 |
Process Contact: | NOAA Office for Coastal Management (NOAA/OCM) |
Phone (Voice): | (843) 740-1202 |
Email Address: | coastal.info@noaa.gov |
Source: | processed lidar data |
Related Items
Item Type | Relationship Type | Title |
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Data Set (DS) | Cross Reference |
2011 - 2012 OLC Lidar: Union Baker, OR |
Catalog Details
Catalog Item ID: | 63038 |
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GUID: | gov.noaa.nmfs.inport:63038 |
Metadata Record Created By: | Rebecca Mataosky |
Metadata Record Created: | 2020-10-05 20:09+0000 |
Metadata Record Last Modified By: | Kirk Waters |
Metadata Record Last Modified: | 2024-01-10 19:13+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 |