2017 Lummi Nation Topobathy Lidar DEM: South Fork Nooksack River, WA
Data Set (DS) | OCM Partners (OCMP)GUID: gov.noaa.nmfs.inport:67770 | Updated: January 10, 2024 | Published / External
Summary
Short Citation
OCM Partners, 2024: 2017 Lummi Nation Topobathy Lidar DEM: South Fork Nooksack River, WA, https://www.fisheries.noaa.gov/inport/item/67770.
Full Citation Examples
No metadata record was provided with the data. This record is populated with information from the Quantum Spatial, Inc. technical report downloaded from the Washington Dept. of Natural Resources Washington Lidar Portal. The technical report is available for download from the link provided in the URL section of this metadata record.
In October 2017, Quantum Spatial (QSI) was contracted by the Lummi Nation to collect topobathymetric Light Detection and Ranging (LiDAR) data in the spring of 2018 for the South Fork Nooksack River site in Washington. The South Fork Nooksack River area of interest stretches approximately 19 miles upriver from Saxon, in northwestern Washington State. Traditional near-infrared (NIR) LiDAR was fully integrated with green wavelength (bathymetric) LiDAR in order to provide a comprehensive topobathymetric LiDAR dataset. Data were collected to aid the Lummi Nation in assessing the channel morphology and topobathymetric surface of the study area to support river restoration activities on the South Fork Nooksack River.
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. Change to an orthometric vertical datum is one of the many options.
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GeoTIFF
Bulk download of data files in GeoTiff format, WA State Plane South NAD83(HARN) US survey feet coordinates and 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be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions.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
DIGITAL ELEVATION/TERRAIN MODEL (DEM), 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
-122.168741° W,
-121.892028° E,
48.679964° N,
48.593961° S
2017-10-09
2017-12-07
Item Identification
Title: | 2017 Lummi Nation Topobathy Lidar DEM: South Fork Nooksack River, WA |
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Status: | Completed |
Creation Date: | 2017 |
Abstract: |
No metadata record was provided with the data. This record is populated with information from the Quantum Spatial, Inc. technical report downloaded from the Washington Dept. of Natural Resources Washington Lidar Portal. The technical report is available for download from the link provided in the URL section of this metadata record. In October 2017, Quantum Spatial (QSI) was contracted by the Lummi Nation to collect topobathymetric Light Detection and Ranging (LiDAR) data in the spring of 2018 for the South Fork Nooksack River site in Washington. The South Fork Nooksack River area of interest stretches approximately 19 miles upriver from Saxon, in northwestern Washington State. Traditional near-infrared (NIR) LiDAR was fully integrated with green wavelength (bathymetric) LiDAR in order to provide a comprehensive topobathymetric LiDAR dataset. Data were collected to aid the Lummi Nation in assessing the channel morphology and topobathymetric surface of the study area to support river restoration activities on the South Fork Nooksack River. |
Purpose: |
Data were collected to aid the Lummi Nation in assessing the channel morphology and topobathymetric surface of the study area to support river restoration activities on the South Fork Nooksack River. |
Keywords
Theme Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Science Keywords |
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
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Global Change Master Directory (GCMD) Science Keywords |
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > DIGITAL ELEVATION/TERRAIN MODEL (DEM)
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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 > WASHINGTON
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Global Change Master Directory (GCMD) Location Keywords |
VERTICAL LOCATION > LAND SURFACE
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Instrument Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Instrument Keywords |
LIDAR > Light Detection and Ranging
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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 NOAA, the Office for Coastal Management or its partners. |
Data Set Credit: | Lummi Nation, Quantum Spatial, Inc., Washington Dept. of Natural Resources |
Support Roles
Data Steward
Date Effective From: | 2022 |
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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: | 2022 |
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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: | 2022 |
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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: | 2022 |
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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: | -122.168741 | |
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E° Bound: | -121.892028 | |
N° Bound: | 48.679964 | |
S° Bound: | 48.593961 |
Extent Group 1 / Time Frame 1
Time Frame Type: | Discrete |
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Start: | 2017-10-09 |
Extent Group 1 / Time Frame 2
Time Frame Type: | Discrete |
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Start: | 2017-12-07 |
Spatial Information
Spatial Representation
Representations Used
Grid: | Yes |
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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: | 2021-07-15 |
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End Date: | Present |
Download URL: | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9573/details/9573 |
Distributor: | NOAA Office for Coastal Management (NOAA/OCM) (2022 - 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. |
File Type (Deprecated): | Zip |
Compression: | Zip |
Distribution 2
Start Date: | 2021-07-15 |
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End Date: | Present |
Download URL: | https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/WA_Nooksack_DEM_2017_9573/index.html |
Distributor: | NOAA Office for Coastal Management (NOAA/OCM) (2022 - Present) |
File Name: | Bulk Download |
Description: |
Bulk download of data files in GeoTiff format, WA State Plane South NAD83(HARN) US survey feet coordinates and orthometric heights in feet. |
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://lidarportal.dnr.wa.gov/download?ids=1160 |
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Name: | Lidar Report |
URL Type: |
Online Resource
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File Resource Format: | |
Description: |
Link to the Quantum Spatial, Inc. Technical Lidar Report from the Washington Lidar Portal. |
Data Quality
Vertical Positional Accuracy: |
Absolute accuracy was assessed using Non-vegetated Vertical Accuracy (NVA) reporting designed to meet guidelines presented in the FGDC National Standard for Spatial Data Accuracy. NVA compares known ground quality assurance point data collected on open, bare earth surfaces with level slope (less than 20 degrees) to the triangulated surface generated by the LiDAR points. NVA is a measure of the accuracy of LiDAR point data in open areas where the LiDAR system has a high probability of measuring the ground surface and is evaluated at the 95% confidence interval (1.96 * RMSE). The mean and standard deviation (sigma) of divergence of the ground surface model from ground check point coordinates are also considered during accuracy assessment. These statistics assume the error for x, y and z is normally distributed, and therefore the skew and kurtosis of distributions are also considered when evaluating error statistics. For the South Fork Nooksack River survey, 20 ground check points were withheld from the calibration and post-processing of the LiDAR point cloud to provide an independent assessment of the NVA, which was 0.051 meters, with 95% confidence, or 2.6 cm RMSE. |
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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: |
The NOAA Office for Coastal Management (OCM) downloaded the GeoTiff files from the Washington Lidar Portal. |
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Sources
Washington Dept of Natural Resources
Contact Role Type: | Originator |
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Contact Type: | Organization |
Contact Name: | Washington Dept of Natural Resources |
Citation URL: | https://lidarportal.dnr.wa.gov/ |
Citation URL Name: | Washington Lidar Portal |
Process Steps
Process Step 1
Description: |
Planning: In preparation for data collection, QSI reviewed the project area and developed a specialized flight plan to ensure complete coverage of the South Fork Nooksack River LiDAR study area at the target combined point density of greater than or equal to 12 points/m2. Acquisition parameters including orientation relative to terrain, flight altitude, pulse rate, scan angle, and ground speed were adapted to optimize flight paths and flight times while meeting all contract specifications. Factors such as satellite constellation availability and weather windows must be considered during the planning stage. Any weather hazards or conditions affecting the flights were continuously monitored due to their potential impact on the daily success of airborne and ground operations. In addition, logistical considerations including private property access, potential air space restrictions, and channel flow rates were reviewed. Due to a number of environmental and logistical issues the acquisition of the project area data was split into two collection windows. |
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Process Step 2
Description: |
Ground Survey Points Ground survey points were collected using real time kinematic (RTK) survey techniques. The WSRN RTN broadcasted kinematic corrections to a roving Trimble R6 GNSS receiver. All GSP measurements were made during periods with a Position Dilution of Precision (PDOP) of less than or equal to 3.0 with at least six satellites in view of the stationary and roving receivers. When collecting RTK, the rover records data while stationary for five seconds, then calculates the pseudorange position using at least three one-second epochs. Relative errors for any GSP position must be less than 1.5 cm horizontal and 2.0 cm vertical in order to be accepted. GSPs were collected in areas where good satellite visibility was achieved on paved roads and other hard surfaces such as gravel or packed dirt roads. GSP measurements were not taken on highly reflective surfaces such as center line stripes or lane markings on roads due to the increased noise seen in the laser returns over these surfaces. GSPs were collected within as many flightlines as possible; however the distribution of GSPs depended on ground access constraints and base station locations and may not be equitably distributed throughout the study area. QSI typically collects bathymetric survey points along the water's edge and in submerged locations within the project area in order to assess topobathymetric surface model accuracy; however, QSI ground crew were unable to collect bathymetric survey points for this project due to safety and access concerns along the South Fork Nooksack River. Base Stations Two permanent base stations from the Washington State Reference Network (WSRN) were utilized as static base stations for the SF Nooksack airborne acquisition, providing control within 13 nautical miles of the mission areas for LiDAR flight. To correct the continuously recorded onboard measurements of the aircraft position, QSI utilized static Global Navigation Satellite System (GNSS) data collected at 1 Hz recording frequency by the base station. During post-processing, the static GPS data were triangulated with nearby Continuously Operating Reference Stations (CORS) using the Online Positioning User Service (OPUS) to verify and update record positions as needed to align with the National Spatial Reference System (NSRS). |
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Process Step 3
Description: |
Airborne Survey The LiDAR survey was accomplished using a Leica ALS80 system dually mounted with a Riegl VQ-820-G topobathymetric sensor in a Cessna Caravan. The Riegl VQ-820-G uses a green wavelength (532 nm) laser that is capable of collecting high resolution vegetation and topography data, as well as penetrating the water surface with minimal spectral absorption by water. The recorded waveform enables range measurements for all discernible targets for a given pulse. The typical number of returns digitized from a single pulse range from 1 to 7 for the South Fork Nooksack River project area. The Leica ALS80 laser system can record unlimited range measurements (returns) per pulse. It is not uncommon for some types of surfaces (e.g., dense vegetation or water) to return fewer pulses to the LiDAR sensor than the laser originally emitted. The discrepancy between first return and overall delivered density will vary depending on terrain, land cover, and the prevalence of water bodies. All discernible laser returns were processed for the output dataset. The settings used were to yield an average pulse density of greater than or equal to 12 points/m2 over the South Fork Nooksack River project area. All areas were surveyed with an opposing flightline side-lap of greater than or equal to 50% (greater than or equal to100% overlap) in order to reduce laser shadowing and increase surface laser painting. To accurately solve for laser point position (geographic coordinates x, y, and z), the positional coordinates of the airborne sensor and the attitude of the aircraft were recorded continuously throughout the LiDAR data collection mission. Position of the aircraft was measured twice per second (2 Hz) by an onboard differential GPS unit, and aircraft attitude was measured 200 times per second (200 Hz) as pitch, roll, and yaw (heading) from an onboard inertial measurement unit (IMU). To allow for post-processing correction and calibration, aircraft and sensor position and attitude data are indexed by GPS time. |
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Process Step 4
Description: |
Upon completion of data acquisition, QSI processing staff initiated a suite of automated and manual techniques to process the data into the requested deliverables. Processing tasks included GPS control computations, smoothed best estimate trajectory (SBET) calculations, kinematic corrections, calculation of laser point position, sensor and data calibration for optimal relative and absolute accuracy, and LiDAR point classification. Riegl's RiProcess software was used to facilitate bathymetric return processing. Once bathymetric points were differentiated, they were spatially corrected for refraction through the water column based on the angle of incidence of the laser. QSI refracted water column points using QSI's proprietary LAS processing software, LAS Monkey. The resulting point cloud data were classified using both manual and automated techniques. Processing methodologies were tailored for the landscape. Brief descriptions of these tasks are shown below. Lidar Processing Steps Resolve kinematic corrections for aircraft position data using kinematic aircraft GPS and static ground GPS data. Develop a smoothed best estimate of trajectory (SBET) file that blends post-processed aircraft position with sensor head position and attitude recorded throughout the survey. Software used - POSPac MMS v.8.0 Calculate laser point position by associating SBET position to each laser point return time, scan angle, intensity, etc. Create raw laser point cloud data for the entire survey in *.las (ASPRS v. 1.4) format. Convert data to orthometric elevations by applying a geoid correction. Software used - RiProcess v1.8.5, TerraMatch v.18 Import raw laser points into manageable blocks (less than 500 MB) to perform manual relative accuracy calibration and filter erroneous points. Classify ground points for individual flightlines. Software used - TerraScan v.18 Using ground classified points per each flightline, test the relative accuracy. Perform automated line-to-line calibrations for system attitude parameters (pitch, roll, heading), mirror flex (scale) and GPS/IMU drift. Calculate calibrations on ground classified points from paired flightlines and apply results to all points in a flightline. Use every flightline for relative accuracy calibration. Software used - TerraMatch v.18, RiProcess v1.8.5 Apply refraction correction to all subsurface returns. Software used - LAS Monkey 2.3.3 (QSI proprietary software) Classify resulting data to ground and other client designated ASPRS classifications (Table 6). Assess statistical absolute accuracy via direct comparisons of ground classified points to ground control survey data. Software used - TerraScan v.18, TerraModeler v.18 Generate bare earth models as triangulated surfaces. Generate highest hit models as a surface expression of all classified points. Export all surface models as ESRI GRIDs at a 1.0 meter pixel resolution. Software used - TerraScan v.18, TerraModeler v.18, ArcMap v. 10.3.1 |
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Process Step 5
Description: |
The NOAA Office for Coastal Management (OCM) downloaded 4 raster DEM files in GeoTiff format from the Washington Lidar Portal. The data were in Washington State Plane South NAD83(HARN), US survey feet coordinates and NAVD88 (Geoid12B) elevations in feet. The bare earth raster files were at a 3 feet grid spacing. No metadata record was provided with the data. This record is populated with information from the Quantum Geospatial, Inc. technical report downloaded from the Washington Dept. of Natural Resources Washington Lidar Portal. OCM performed the following processing on the data for Digital Coast storage and provisioning purposes: 1. Used internal an script to assign the EPSG codes (Horizontal EPSG: 2927 and Vertical EPSG: 6360) to the GeoTiff formatted files. 2. Copied the files to https. |
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Process Date/Time: | 2022-08-26 00:00:00 |
Process Contact: | Office for Coastal Management (OCM) |
Catalog Details
Catalog Item ID: | 67770 |
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GUID: | gov.noaa.nmfs.inport:67770 |
Metadata Record Created By: | Rebecca Mataosky |
Metadata Record Created: | 2022-08-26 15:29+0000 |
Metadata Record Last Modified By: | Kirk Waters |
Metadata Record Last Modified: | 2024-01-10 19:26+0000 |
Metadata Record Published: | 2024-01-10 |
Owner Org: | OCMP |
Metadata Publication Status: | Published Externally |
Do Not Publish?: | N |
Metadata Last Review Date: | 2022-08-26 |
Metadata Review Frequency: | 1 Year |
Metadata Next Review Date: | 2023-08-26 |