2015 OLC Lidar DEM: Wallowa, OR
Data Set (DS) | OCM Partners (OCMP)GUID: gov.noaa.nmfs.inport:56885 | Updated: January 10, 2024 | Published / External
Summary
Short Citation
OCM Partners, 2024: 2015 OLC Lidar DEM: Wallowa, OR, https://www.fisheries.noaa.gov/inport/item/56885.
Full Citation Examples
The dataset encompasses 522 square miles in portions of Wallowa and Union Counties, Oregon. The highest hit digital surface models (DSM) represent the earth's surface with all vegetation and human-made structures included. The highest hit DSMs were derived from lidar data using TIN processing of the all-return point cloud. The bare earth digital elevation model (DEM) represents the earth's surface with all vegetation and human-made structures removed. The bare earth DEMs were derived from lidar data using TIN processing of the ground point returns. The DSM and DEM grid cell size is 3 feet. The projection is is Oregon Statewide Lambert Conformal Conic, units are in International Feet.The horizontal datum is NAD 83 (2011)and vertical datum is NAVD88 (Geoid 12A). Some elevation values have been interpolated across areas in the models where there is no elevation data (e.g. over water, over dense vegetation). Watershed Sciences, Inc. collected the lidar and created this data set for the Oregon Department of Geology and Mineral Industries (DOGAMI).
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 data files in tif format, geographic coordinates, orthometric heights.
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be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions.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
COASTAL BATHYMETRY, COASTAL ELEVATION, 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
-118.123° W,
-116.901° E,
45.789° N,
45.248° S
2015-07-04 - 2015-07-15
Collection time for the lidar.
Item Identification
Title: | 2015 OLC Lidar DEM: Wallowa, OR |
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Short Name: | 2015 OLC DEM Wallowa m8786 |
Status: | Completed |
Publication Date: | 2019-07-10 |
Abstract: |
The dataset encompasses 522 square miles in portions of Wallowa and Union Counties, Oregon. The highest hit digital surface models (DSM) represent the earth's surface with all vegetation and human-made structures included. The highest hit DSMs were derived from lidar data using TIN processing of the all-return point cloud. The bare earth digital elevation model (DEM) represents the earth's surface with all vegetation and human-made structures removed. The bare earth DEMs were derived from lidar data using TIN processing of the ground point returns. The DSM and DEM grid cell size is 3 feet. The projection is is Oregon Statewide Lambert Conformal Conic, units are in International Feet.The horizontal datum is NAD 83 (2011)and vertical datum is NAVD88 (Geoid 12A). Some elevation values have been interpolated across areas in the models where there is no elevation data (e.g. over water, over dense vegetation). Watershed Sciences, Inc. collected the lidar and created this data set for the Oregon Department of Geology and Mineral Industries (DOGAMI). |
Purpose: |
This dataset provides high resolution terrain elevation and land cover elevation data in the OLC Walllowa project area. |
Keywords
Theme Keywords
Thesaurus | Keyword |
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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
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ISO 19115 Topic Category |
elevation
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Spatial Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Location Keywords |
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
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Global Change Master Directory (GCMD) Location Keywords |
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > OREGON
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Global Change Master Directory (GCMD) Location Keywords |
VERTICAL LOCATION > LAND SURFACE
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Global Change Master Directory (GCMD) Location Keywords |
VERTICAL LOCATION > SEA FLOOR
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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) |
Entity Attribute Overview: |
xyz location information for objects in the area |
Distribution Liability: |
This dataset was contracted by Oregon Department of Geology and Mineral Industries (DOGAMI). Information regarding the use of this dataset should be directed to the owner. 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: | Oregon Department of Geology and Mineral Industries; Watershed Sciences, 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: | -118.123 | |
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E° Bound: | -116.901 | |
N° Bound: | 45.789 | |
S° Bound: | 45.248 |
Extent Group 1 / Time Frame 1
Time Frame Type: | Range |
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Start: | 2015-07-04 |
End: | 2015-07-15 |
Description: |
Collection time for the lidar. |
Spatial Information
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 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=8786 |
Distributor: | NOAA Office for Coastal Management (NOAA/OCM) (2019 - 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_Wallowa_2015_8786/index.html |
Distributor: | NOAA Office for Coastal Management (NOAA/OCM) (2019 - Present) |
File Name: | Bulk Download |
Description: |
Bulk download of DEM data files in tif format, geographic coordinates, orthometric heights. |
File Type (Deprecated): | GeoTIFF |
Distribution Format: | GeoTIFF |
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
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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/geoid12b/8785/supplemental/2015_wallowa_area_8785.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 3
URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8785/supplemental/OLC_Wallowa_LiDAR_Technical_Report.pdf |
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Name: | Technical report |
URL Type: |
Online Resource
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File Resource Format: | |
Description: |
Technical report from Watershed Sciences. |
URL 4
URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8785/supplemental/OLC_Wallowa_Acceptance_Report.pdf |
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Name: | Acceptance Report |
URL Type: |
Online Resource
|
File Resource Format: | |
Description: |
Acceptance Report from DOGAMI. |
Data Quality
Vertical Positional Accuracy: |
Vertical accuracy analysis of delivered lidar data consisted of differencing collected GCP data and the 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) and the maximum vertical RSME to not exceed 0.093 meters (0.30 feet). A total of 258 measured GCPs were obtained in the OLC Wallowa 2015 LIDAR Project area and were compared with the lidar elevation grids. The data delivered to DOGAMI was found to have a mean vertical offset of -0.02 meters (-0.05 feet) and an RMSE value of 0.06 meters (0.19 feet). Offset values ranged from -0.18 meters (-0.61 feet) to 0.19 meters (0.62 feet). |
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Comparability: |
Consistency refers to lidar elevation differences between overlapping flight lines. Consistency errors are created by poor lidar system calibration settings associated with sensor platform mounting. Errors in consistency manifest as vertical offsets between individual flight lines. Lidar flight lines have been examined to ensure that there was at least 60% sidelap, there are no gaps between flightlines, and the vertical offsets between flight line must be less than 0.15m (0.49 feet). To quantify the magnitude of this error, 4550 of 4558 delivered data tiles (99.8%) were examined for vertical offset between flight lines. Data tiles with less than 1000 points were not used in analysis. Each tile measured 750 x 750 meters in size. The average number of points used for flight line comparison was 20,251,265.29 points per tile. Error measurements were calculated by differencing the nearest point from an adjacent flight line within 1 meter in the horizontal plane and 0.2 meters in the vertical plane. Each flight line was compared to adjacent flight lines, and the average magnitude of vertical error was calculated. 328 flight lines out of 344 total flight lines (95.3%) were sampled and compared for consistency. Results of the consistency analysis found the average flight line offset to be 0.04 meters (0.13 feet) with a maximum error of 0.07 meters (0.24 feet). Distribution of error showed 91.2% of all error was less than 0.05 meters (0.25 feet) and 96.6% less than 0.06 meters (0.19 feet). These results show that all data are within specification. |
Completeness Report: |
DOGAMI has specified that the aggregate design multi-swath pulse density for the Wallowa project must be 8.0 pulses per square meter or higher. Pulse density is calculated as the number of pulses per unit area, commonly measured as pulses per square meter. This calculation is based on the number of first return pulses divided by the area of the tile. To quantify pulse density of the OLC Wallowa 2015 Lidar Project, 1246 all-return LAS files (100%) were parsed into first-return point files and compared to their data extents. Results of the pulse density analysis found the average pulse density to be 9.25 pulses per m². Certain types of surfaces (dense vegetation, water) may return fewer pulses than the laser originally emitted; therefore density values can vary according to terrain and land cover. Pulse densities for OLC Wallowa 2015 Lidar Project LAS tiles ranged from 0.38 pulses per m^2; to 23.5 pulses per m^2;. 946 LAS files out of 1246 (76%) have a pulse density of 8.00 pulses per m^2;. These results show that all data are within tolerances of pulse density according to the contract agreement. |
Quality Control Procedures Employed: |
The approach adopted for DOGAMI lidar surveys was comprised of three components: 1) Verify the horizontal and vertical coordinates established by Watershed Sciences for a select number of survey monuments used to calibrate the lidar survey. These surveys typically involved a minimum of two hours of GPS occupation over a known point. The collected data were then submitted to the National Geodetic Survey (NGS) Online Positioning User Service (OPUS) for post-processing against several Continuously Operating Reference Stations (CORS) operated by the NGS. 2) Collect GCPs along relatively flat surfaces (roads, paths, parking lots etc.). This step involved the collection of both continuous measurements (from a vehicle as well as from a backpack) as well as static measurements (typically 5 epochs). 3) Having collected the GCP data, the GPS data was post-processed using Trimble Business Center software. Data post-processing typically involved calibrations against at least three CORS stations as well as from local site calibrations performed in the field using those benchmarks that had been independently verified. Data is post processed to refine measurements so that horizontal and vertical errors are less than 0.02 meters (0.065 feet). Horizontal accuracy of data is tested by reoccupying a sample subset of survey monuments used for processing of lidar data. Each occupation's x and y coordinates are compared with the vendor coordinates for offsets. |
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 Inc. has collected Light Detection and Ranging (LIDAR) data in the Milton-Freewater Study Area for the Oregon Department of Geology and Mineral Industries (DOGAMI). NOAA OCM has taken the data and ingested it into the Digital Coast Data Access Viewer for distribution. |
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Sources
ArcGrid Raster Hydroflattened DEMs
Contact Role Type: | Publisher |
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Contact Type: | Organization |
Contact Name: | Oregon Department of Geology and Mineral Industries (DOGAMI) |
processed lidar data
Contact Role Type: | Originator |
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Contact Type: | Organization |
Contact Name: | Watershed Sciences, Inc |
raw lidar data
Contact Role Type: | Originator |
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Contact Type: | Organization |
Contact Name: | Watershed Sciences, Inc |
Process Steps
Process Step 1
Description: |
Acquisition. LiDAR data acquisition was conducted from 23-May to 5-Jun. The survey utilized a Leica ALS 80 laser system mounted in a Cessna 208. Scan angles near nadir were used to increase penetration of vegetation to ground surfaces. Ground level GPS and aircraft IMU were collected during the flight. |
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Process Date/Time: | 2016-05-28 00:00:00 |
Process Step 2
Description: |
Processing. 1. TRAJECTORY: Aircraft trajectory (position and attitude) were calculated based on on-board GPS and IMU data with post-processing refinement through coincident static GPS collection. 2. POST-PROCESSING: Laser point return coordinates (x,y,z) were computed using sensor-specific post processing software, combining LiDAR return range and intensity information with aircraft trajectory information. 3. INITIAL QAQC: The post-processed LiDAR files were assembled into flight lines and reviewed for gaps and consistency, as well as systematic noise. 4. CALIBRATION: Custom algorithms evaluated individual swaths for misalignments based on IMU configuration as well as aircraft attitude variability. Offsets were resolved through surface and linear matching algorithms that minimize variability in elevation and slope. Descriptive statistics, thresholds, and specifications providing transparency for data calibration are discussed in the accompanying Data Report. 5. GROUND MODELING: Ground classified point cloud was generated through proprietary data processing tools, with settings and thresholds appropriate to landscape and vegetation condition. 6. ARTIFACT FILTRATION: Noise and processing artifacts were filtered using post-processing software and proprietary quality control methods. 7. ACCURACY ASSESSMENT: Vertical accuracy for the LiDAR dataset was assessed against Ground Check Points (GCP) distributed throughout the study area. See the accompanying Data Report for methodology, descriptive statistics, and relevant standards and reporting language. 8. DATA PRODUCT: LiDAR points classified as 'ground' were output as a digital elevation model (DEM). |
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Process Date/Time: | 2016-07-05 00:00:00 |
Source: | raw lidar data |
Process Step 3
Description: |
Lidar has been collected and processed for all areas within the project study area. In some areas of heavy vegetation and forest cover, there may be relatively few ground points in the Lidar data. TINing the points produces large triangles and hence the elevations may be less accurate within such areas. In some areas with large bodies of water, competing water surface levels may be visible. This is due to seasonal water level fluctuation and intervals of time between acquisitions of an area. Shaded relief images have been visually inspected for data errors such as pits, border artifacts, gaps, and shifting. The data was examined at a 1:3000 scale. DOGAMI examines all data associated with this delivery to ensure that all required data products are present and function correctly. Quality control review is conducted on every data file delivered to DOGAMI. Lidar ASCII Standard (LAS) point files have been loaded into TerraSolid and ArcGIS to ensure complete and correct lidar data coverage and file integrity. Raster and vector files have been viewed in ArcMap and cross referenced with the delivery area to ensure proper coverage, extent and integrity. Metadata content is reviewed by using a visual check as well as analysis by the USGS Geospatial Metadata validation service. |
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Process Date/Time: | 2017-01-19 00:00:00 |
Source: | processed lidar data |
Process Step 4
Description: |
NOAA/OCM received the data from DOGAMI in a proprietary format (ESRI ArcGrid). Data were converted to GeoTiff for ingest into the Digital Coast Data Access Viewer. |
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Process Date/Time: | 2019-07-10 00:00:00 |
Process Contact: | NOAA Office for Coastal Management (NOAA/OCM) |
Phone (Voice): | (843) 740-1202 |
Email Address: | coastal.info@noaa.gov |
Source: | ArcGrid Raster Hydroflattened DEMs |
Related Items
Item Type | Relationship Type | Title |
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Data Set (DS) | Cross Reference |
2015 OLC Lidar: Wallowa, OR Point cloud used to derive this data. |
Catalog Details
Catalog Item ID: | 56885 |
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GUID: | gov.noaa.nmfs.inport:56885 |
Metadata Record Created By: | Kirk Waters |
Metadata Record Created: | 2019-07-10 15:28+0000 |
Metadata Record Last Modified By: | Kirk Waters |
Metadata Record Last Modified: | 2024-01-10 19:06+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 |