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Item Identification
Keywords
Physical Location
Data Set Info
Support Roles
Extents
Spatial Info
Access Info
Distribution Info
URLs
Tech Environment
Data Quality
Data Management
Lineage
Related Items
Catalog Details

Summary

Short Citation
OCM Partners, 2025: 2019 3DEP WA DNR Lidar DEM: Springdale and North Spokane County, WA, https://www.fisheries.noaa.gov/inport/item/73668.
Full Citation Examples

Abstract

Original Product: Hydroflattened Digital Elevation Model (DEM) data covering the Washington DNR 3DEP Processing project area.

Geographic Extent of Original Data: This dataset and derived products encompass an area covering approximately 562,137 acres of Eastern Washington.

Original Dataset Description: The Washington DNR 3DEP Processing Lidar project called for the planning, acquisition, and processing of lidar data collected to Quality Level 1 (QL1) standards. Project specifications are based on the U.S. Geological Survey National Geospatial Program LIDAR Base Specification, Version 2.1. The data was developed based on the NAD83 2011 horizontal datum and the NAVD88 Geoid 18 vertical datum. Data was projected in Washington State Plane North, U.S. feet. Lidar data was delivered as calibrated and classified LAS 1.4 files. Lidar flight line swaths were processed to create 1,097 classified LAS 1.4 files delineated in 5,000ft x 5,000ft tiles. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. Class 2 (ground) lidar points in conjunction with the hydro breaklines were used to create 1,097 2.0 foot hydro-flattened Raster DEMs delineated in 5,000ft x 5,000ft tiles. Non-Vegetated Vertical Accuracy (NVA) was assessed using 64 check points located on bare earth in clear, unobstructed areas. Vegetated Vertical Accuracy (VVA) was assessed using 43 check points in Tall Grass, Forest, and Shrub landcover types. Additional products include classified LAS files, intensity images, highest hit surface models, and 3D breaklines of rivers and lakes within the study area.

Ground Condition of Original Data: Ground condition was free of snow and acquisition occurred free of smoke, fog and cloud cover.

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 USGS GeoTiff files hosted by USGS on Amazon Web Services.

Distribution Information

  • Not Applicable

    Create custom data files by choosing data area, map projection, file format, etc. A new metadata will be produced to reflect your request using this record as a base.

  • GeoTIFF

    Bulk download of data files in GeoTiff format, Washington State Plane North, NAD83(2011), US survey feet coordinates and elevations in NAVD88 (Geoid18) feet.

Access Constraints:

None

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.

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

Geographic Area 1

-117.887406° W, -116.988112° E, 48.270274° N, 47.702041° S

Time Frame 1
2019-04-29 - 2019-05-03

Item Identification

Title: 2019 3DEP WA DNR Lidar DEM: Springdale and North Spokane County, WA
Short Name: wa2019_dnr_3dep_dem_m10188_metadata
Status: Completed
Creation Date: 2019
Publication Date: 2021-01-29
Abstract:

Original Product: Hydroflattened Digital Elevation Model (DEM) data covering the Washington DNR 3DEP Processing project area.

Geographic Extent of Original Data: This dataset and derived products encompass an area covering approximately 562,137 acres of Eastern Washington.

Original Dataset Description: The Washington DNR 3DEP Processing Lidar project called for the planning, acquisition, and processing of lidar data collected to Quality Level 1 (QL1) standards. Project specifications are based on the U.S. Geological Survey National Geospatial Program LIDAR Base Specification, Version 2.1. The data was developed based on the NAD83 2011 horizontal datum and the NAVD88 Geoid 18 vertical datum. Data was projected in Washington State Plane North, U.S. feet. Lidar data was delivered as calibrated and classified LAS 1.4 files. Lidar flight line swaths were processed to create 1,097 classified LAS 1.4 files delineated in 5,000ft x 5,000ft tiles. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. Class 2 (ground) lidar points in conjunction with the hydro breaklines were used to create 1,097 2.0 foot hydro-flattened Raster DEMs delineated in 5,000ft x 5,000ft tiles. Non-Vegetated Vertical Accuracy (NVA) was assessed using 64 check points located on bare earth in clear, unobstructed areas. Vegetated Vertical Accuracy (VVA) was assessed using 43 check points in Tall Grass, Forest, and Shrub landcover types. Additional products include classified LAS files, intensity images, highest hit surface models, and 3D breaklines of rivers and lakes within the study area.

Ground Condition of Original Data: Ground condition was free of snow and acquisition occurred free of smoke, fog and cloud cover.

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 USGS GeoTiff files hosted by USGS on Amazon Web Services.

Purpose:

The purpose of the lidar data was to produce a high accuracy 3D dataset that meets all necessary standards laid out by the 3D Elevation Program and the Washington DNR 3DEP Processing contract. The lidar point cloud data were used to create classified lidar LAS files, intensity images, hydro-flattened DEMs, highest hit DSMs, and 3D breaklines of rivers and lakes within the study area.

Supplemental Information:

Raster File Type = TIFF Bit Depth/Pixel Type = 32-bit float Raster Cell Size = 2.0 foot Interpolation or Resampling Technique = Triangulated Irregular Network Required Vertical Accuracy = 19.6 cm NVA

Keywords

Theme Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > DIGITAL ELEVATION/TERRAIN MODEL (DEM)
ISO 19115 Topic Category
elevation

Spatial Keywords

Thesaurus Keyword
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 > WASHINGTON
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
City: Charleston
State/Province: SC

Data Set Information

Data Set Scope Code: Data Set
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: NV5 Geospatial, USGS

Support Roles

Data Steward

CC ID: 1350304
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

Distributor

CC ID: 1350303
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

Distributor

CC ID: 1350307
Date Effective From: 2021
Date Effective To:
Contact (Organization): U.S. Geological Survey
Address: 12201 Sunrise Valley Drive
Reston, VA 20191
USA
URL: USGS Home

Metadata Contact

CC ID: 1350305
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

Point of Contact

CC ID: 1350306
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

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 1350330
W° Bound: -117.887406
E° Bound: -116.988112
N° Bound: 48.270274
S° Bound: 47.702041

Extent Group 1 / Time Frame 1

CC ID: 1350329
Time Frame Type: Range
Start: 2019-04-29
End: 2019-05-03

Spatial Information

Spatial Representation

Representations Used

Grid: Yes
Vector: No
Text / Table: No
TIN: No
Stereo Model: No
Video: No

Reference Systems

Reference System 1

CC ID: 1350332

Coordinate Reference System

CRS Type: Vertical
EPSG Code: EPSG:6360
EPSG Name: NAVD88 height (ftUS)
See Full Coordinate Reference System Information

Reference System 2

CC ID: 1351332

Coordinate Reference System

CRS Type: Projected
EPSG Code: EPSG:6597
EPSG Name: NAD83(2011) / Washington North (ftUS)
See Full Coordinate Reference System Information

Access Information

Security Class: Unclassified
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

CC ID: 1350308
Start Date: 2024
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=10188/details/10188
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2024 - Present)
File Name: Customized Download
Description:

Create custom data files by choosing data area, map projection, file format, etc. A new metadata will be produced to reflect your request using this record as a base.

Distribution Format: Not Applicable
Compression: Zip

Distribution 2

CC ID: 1350309
Start Date: 2021
End Date: Present
Download URL: https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/WA_DNR_3DEP_Processing_2019_D20/WA_DNR_3DEP_Processing_1_2019/TIFF/
Distributor: U.S. Geological Survey (2021 - Present)
File Name: Bulk Download
Description:

Bulk download of data files in GeoTiff format, Washington State Plane North, NAD83(2011), US survey feet coordinates and elevations in NAVD88 (Geoid18) feet.

Distribution Format: GeoTIFF
Compression: Uncompressed

URLs

URL 1

CC ID: 1350310
URL: https://coast.noaa.gov/dataviewer/
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

CC ID: 1350313
URL: https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/WA_DNR_3DEP_Processing_2019_D20/USGS_WA_DNR_3DEP_Processing_2019_D20_Project_Report.pdf
Name: USGS Project Report
URL Type:
Online Resource
File Resource Format: pdf
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

CC ID: 1350314
URL: https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/metadata/WA_DNR_3DEP_Processing_2019_D20/WA_DNR_3DEP_Processing_1_2019/
Name: USGS Additional Info
URL Type:
Online Resource
Description:

Link to the reports, breaklines, metadata, and spatial metadata.

URL 4

CC ID: 1350315
URL: https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/WA_DNR_3DEP_Processing_2019_D20/WA_DNR_3DEP_Processing_1_2019/reports/Washington_DNR_3DEP_Processing_Techinical_Data_Report_Final_Signed.pdf
Name: Lidar Report
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the lidar report.

Technical Environment

Description:

LiDAR Mapping Suite 2.4, Applanix PosPac 7.1, Microstation CONNECT version 19, TerraScan Version 20, TerraModeler Version 20, TerraMatch Version 20, ESRI ArcGIS 10.3, Windows 10 Operating System

Data Quality

Horizontal Positional Accuracy:

Lidar horizontal accuracy is a function of Global Navigation Satellite System (GNSS) derived positional error, flying altitude, and INS derived attitude error. The obtained RMSEr value is multiplied by a conversion factor of 1.7308 to yield the horizontal component of the National Standards for Spatial Data Accuracy (NSSDA) reporting standard where a theoretical point will fall within the obtained radius 95 percent of the time. Based on a flying altitude of 1,830 meters, an IMU error of 0.003 decimal degrees, and a GNSS positional error of 0.015 meters, the Washington DNR 3DEP Processing site was compiled to meet 0.98 feet (0.30 meters) horizontal accuracy at the 95% confidence level or 0.17 m RMSEr.

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. Specifications for this project require that the NVA be 0.196 meters or better AccuracyZ at 95% confidence level. Vegetated Vertical Accuracy (VVA) is also to be computed. Specifications for this project require that the VVA be 0.300 meters or better AccuracyZ at the 95th percentile.

This data set was produced to meet ASPRS Positional Accuracy Standard for Digital Geospatial Data (2014) for a 10-cm RMSEz Vertical Accuracy Class.

USGS DEM Determined Vertical Accuracy:

Tested NVA RMSEz = 2.3 cm

Tested 95th percentile value for VVA is : 15.54 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.

Completeness Report:

A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist. The raw point cloud is of good quality and data passes Non-Vegetated Vertical Accuracy specifications.

Conceptual Consistency:

DEM files were tested by NV5 Geospatial for vertical accuracy. All data is seamless from one tile to the next, no gaps or no data areas.

Data Management

Have Resources for Management of these Data Been Identified?: Yes
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 GeoTiff files that are hosted on Amazon Web Services (AWS), into the Digital Coast Data Access Viewer (DAV). The DAV accesses the raster data as it resides on AWS under the usgs-lidar-public-container.

Sources

USGS GeoTiff Files

CC ID: 1350323
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: USGS
Citation URL: https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/WA_DNR_3DEP_Processing_2019_D20/WA_DNR_3DEP_Processing_1_2019/TIFF/
Citation URL Name: USGS GeoTiff files

Process Steps

Process Step 1

CC ID: 1350324
Description:

Lidar Pre-Processing:

1. Review flight lines and data to ensure complete coverage of the study area and positional accuracy of the laser points.

2. Resolve kinematic corrections for aircraft position data using kinematic aircraft GPS and static ground GPS data.

3. 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.

4. 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 format. Convert data to orthometric elevations by applying a Geoid 18 correction.

5. Import raw laser points into manageable blocks to perform manual relative accuracy calibration and filter erroneous points. Classify ground points for individual flight lines.

6. Using ground classified points per each flight line, 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 flight lines and apply results to all points in a flight line. Use every flight line for relative accuracy calibration.

7. Adjust the point cloud by comparing ground classified points to supplemental ground control points.

Process Date/Time: 2021-01-29 00:00:00

Process Step 2

CC ID: 1350325
Description:

Lidar Post-Processing:

1. Classify data to ground and other client designated classifications using proprietary classification algorithms.

2. Manually QC data classification

3. After completion of classification and final QC approval, calculate final NVA, VVA, and density information for the project using ground control quality check points.

Process Date/Time: 2021-01-29 00:00:00

Process Step 3

CC ID: 1350326
Description:

Hydro-flattening Breaklines and Hydro-flattened DEM creation: Water boundary polygons were developed using an algorithm which weights lidar-derived slopes, intensities, and return densities to detect the water's edge. The water's edge was then manually reviewed and edited as necessary. Elevations were assigned to the water's edge through neighborhood statistics identifying the lowest lidar return from the water surface. Lakes were assigned a consistent elevation for an entire polygon while rivers were assigned consistent elevations on opposing banks and smoothed to ensure downstream flow through the entire river channel. These breaklines were incorporated into the hydro-flattened DEM by enforcing triangle edges (adjacent to the breakline) to the elevation values derived from the breakline. This implementation corrected interpolation along the hard edge. Breaklines were also used to classify all ground points within the identified water bodies to class 9 (water).

Process Date/Time: 2021-01-29 00:00:00
Process Contact: U.S. Geological Survey

Process Step 4

CC ID: 1350327
Description:

The NOAA Office for Coastal Management (OCM) created references to the USGS GeoTiff files that were ingested into the NOAA Digital Coast Data Access Viewer (DAV). No changes were made to the data. The DAV will access the raster data as it resides on Amazon Web Services (AWS) under the usgs-lidar-public container.

This is the location of the GeoTiffs that are being accessed:

https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/WA_DNR_3DEP_Processing_2019_D20/WA_DNR_3DEP_Processing_1_2019/TIFF/

Process Date/Time: 2024-10-16 00:00:00
Process Contact: Office for Coastal Management (OCM)

Related Items

Item Type Relationship Type Title
Data Set (DS) Cross Reference 2019 3DEP WA DNR Lidar: Springdale and North Spokane County, WA

Catalog Details

Catalog Item ID: 73668
GUID: gov.noaa.nmfs.inport:73668
Metadata Record Created By: Rebecca Mataosky
Metadata Record Created: 2024-10-16 19:34+0000
Metadata Record Last Modified By: Rebecca Mataosky
Metadata Record Last Modified: 2024-11-06 20:38+0000
Metadata Record Published: 2024-10-17
Owner Org: OCMP
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2024-08-20
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2025-08-20