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Summary
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, 2024: 2015 USFS Lidar DEM: Colville National Forest, WA, https://www.fisheries.noaa.gov/inport/item/69409.
Full Citation Examples

Abstract

This digital elevation model (DEM) was created from a classified lidar point cloud encompassing the Colville National Forest project area, approximately 742 square miles. Each LAS/LAZ file contains LiDAR point information, which has been calibrated, controlled, and classified.

Ground Conditions: water at normal levels; no unusual inundation; no snow; leaf off

Distribution Information

  • 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.

  • GeoTIFF

    Bulk download of data files in cloud optimized GeoTiff format.

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be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions.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

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

Metadata Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202

Extents

Geographic Area 1

-118.51279° W, -117.278985° E, 49.019502° N, 48.19707° S

Time Frame 1
2015-07-08 - 2015-07-25

Item Identification

Title: 2015 USFS Lidar DEM: Colville National Forest, WA
Short Name: 2015 colville NF m9771
Status: Completed
Creation Date: 2023-02-22
Abstract:

This digital elevation model (DEM) was created from a classified lidar point cloud encompassing the Colville National Forest project area, approximately 742 square miles. Each LAS/LAZ file contains LiDAR point information, which has been calibrated, controlled, and classified.

Ground Conditions: water at normal levels; no unusual inundation; no snow; leaf off

Purpose:

The United States Forest Service (USFS, Government), Colville National Forest (CNF), requested airborne LiDAR services and products for several project areas totalling 742 mi2 throughout the Colville National Forest in NE Washington. The primary goals of this project included providing high accuracy and density (8pls/m2) LiDAR to enhance project planning and implementation, and to provide engineering and timber sale preparation specialists more information for on-the-ground project planning. In addition, these data are used by researchers and scientists to characterize vegetation type and structure as it currently exists on the landscape and to provide a detailed, accurate, and precise benchmark for future change detection work. The data products potentially will also be used for vegetation mapping, hydrologic feature delineation, and landcover characterization applications including a canopy height model, understory vegetation prediction, and other stand metrics.

Supplemental Information:

All Lidar data was acquired, calibrated, and used in the creation of Lidar derived products by Atlantic.

The following are the USGS lidar fields in JSON:

{

"ldrinfo" : {

"ldrspec" : "USFS

",

"ldrsens" : "Leica ALS70-HP

",

"ldrmaxnr" : "Unlimited

",

"ldrnps" : "0.35

",

"ldrdens" : "8.0

",

"ldranps" : "0.2425

",

"ldradens" : "18.3

",

"ldrfltht" : "2926

",

"ldrfltsp" : "110

",

"ldrscana" : "34

",

"ldrscanr" : "38

",

"ldrpulsr" : "209

",

"ldrpulsd" : "4

",

"ldrpulsw" : "0.46

",

"ldrwavel" : "1064

",

"ldrmpia" : "0

",

"ldrbmdiv" : "0.15

",

"ldrswatw" : "924

",

"ldrswato" : "50

",

"ldrgeoid" : "National Geodetic Survey (NGS) Geoid12A

"

},

"ldraccur" : {

"ldrchacc" : "0.196

",

"rawnva" : "0.160

",

"rawnvan" : "60

",

"clsnva" : "0.158

",

"clsnvan" : "60

",

"clsvva" : "0.142

",

"clsvvan" : "56

"

},

"lasinfo" : {

"lasver" : "1.4

",

"lasprf" : "6

",

"laswheld" : "Withheld (ignore) points were identified in the files using the standard LAS Withheld bit.

",

"lasolap" : "Swath 'overage' points were identified in these files using the standard LAS overlap bit.

",

"lasintr" : "16

",

"lasclass" : {

"clascode" : "1",

"clasitem" : "Undetermined/Unclassified"

},

"lasclass" : {

"clascode" : "2",

"clasitem" : "Bare earth"

}

}}

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 > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
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: As Needed
Data Presentation Form: Model (digital)
Entity Attribute Detail Citation:

Tiled LiDAR DEM for Colville NF

Distribution Liability:

The data represented is the result of data collection and processing per contract specifications and indicates the general existing conditions at the time of data collection. As such, it is only valid for its intended use, content, time, and accuracy specifications. The user is responsible for the results of any application of the data for other than its intended purpose.

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: United States Forest Service; Atlantic, Inc

Support Roles

Data Steward

CC ID: 1222526
Date Effective From: 2023
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: 1222525
Date Effective From: 2023
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

CC ID: 1222527
Date Effective From: 2023
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: 1222528
Date Effective From: 2023
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: 1299091
W° Bound: -118.51279
E° Bound: -117.278985
N° Bound: 49.019502
S° Bound: 48.19707

Extent Group 1 / Time Frame 1

CC ID: 1299090
Time Frame Type: Range
Start: 2015-07-08
End: 2015-07-25

Spatial Information

Spatial Representation

Representations Used

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

Reference Systems

Reference System 1

CC ID: 1299088

Coordinate Reference System

CRS Type: Vertical
EPSG Code: EPSG:5703
EPSG Name: NAVD88 height
See Full Coordinate Reference System Information

Reference System 2

CC ID: 1299087

Coordinate Reference System

CRS Type: Projected
EPSG Code: EPSG:9674
EPSG Name: NAD83 / USFS R6 Albers
See Full Coordinate Reference System Information

Access Information

Security Class: Unclassified
Data Access Procedure:

Data is available online for bulk or 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: 1222529
Start Date: 2023-02-15
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9771/details/9771
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2023 - 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

CC ID: 1222530
Start Date: 2023-02-15
End Date: Present
Download URL: https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/USFS_Colville_NF_2015_9771/index.html
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2023 - Present)
File Name: Bulk Download
Description:

Bulk download of data files in cloud optimized GeoTiff format.

File Type (Deprecated): GeoTIFF
Distribution Format: GeoTIFF

URLs

URL 1

CC ID: 1222531
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: 1222532
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9755/supplemental/15137_AerialLidarReport.pdf
Name: Report
URL Type:
Online Resource
File Resource Format: PDF

URL 3

CC ID: 1222533
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9755/supplemental/15137_SurveyReport.pdf
Name: Report
URL Type:
Online Resource
File Resource Format: PDF

Technical Environment

Description:

CloudPro 1.2.0 Build 85620; GeoCue Version 2014.1.21.2; Windows 7 Operating System

\\tagwork38\GC_Warehouse_8\80670\46\*.las

1.04 TB

Data Quality

Horizontal Positional Accuracy:

Horizontal error in lidar derived elevation data is largely a function of positional error as derived from the Global Navigation Satellite System (GNSS), attitude (angular orientation) error (as derived from the INS) and flying altitude; and can be estimated based on these parameters. Quantitative value: 14.4 cm, Test that produced the valued: As described in Section 7.5 of the ASPRS Positional Accuracy Standards for Digital Geospatial Data the horizontal errors in lidar data are largely a function of GNSS positional error, INS angular error, and flying altitude. Therefore lidar data collected with GNSS error of 0.05m and the IMU error of 0.03492 degrees at an altitude of 2926m; the expected radial horizontal positional error will be RMSEr = 14.4cm.

Vertical Positional Accuracy:

Vertical Accuracy of the point cloud and bare-earth lidar data was assessed and reported in accordance with the ASPRS Positional Accuracy Standards for Digital Geospatial Data;

One-Hundered and sixteen (116) surveyed points were measured for the purpose of assessing the accuracy of the Colville NF Lidar data. (60 NVA + 56 VVA)Quantitative value: 15.8 cm, Test that produced the value: This data set was produced to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 10.0(cm) RMSEz Vertical Accuracy Class equating to NVA = +/-19.6cm at 95% confidence level and VVA =+/-29.4cm at the 95th percentile.

This data set was tested to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 10.0(cm) RMSEz Vertical Accuracy Class. Actual NVA accuracy of the point cloud was found to be RMSEz = 4.1cm, equating to +/-8.1cm at 95% confidence level. Actual NVA accuracy of the bare-earth was found to be RMSEz = 4.1cm, equating to +/-8.0cm at 95% confidence level. Actual VVA accuracy was found to be +/-14.3cm at the 95th percentile.

Completeness Report:

The raw LAS data files included all data points collected. No points have been removed or excluded. 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 Fundamental Vertical Accuracy specifications.Void areas (i.e., areas outside the project boundary but within the tiling scheme) are coded using a unique “NODATA” value. This value is identified in the appropriate location within the file header.

Conceptual Consistency:

All LiDAR data and LiDAR Derived data covers the entire 742 square mile area. All LiDAR Point Cloud tiles show no edge artifacts or mismatches from tile to tile. Void areas (i.e. areas outside the project boundary but within the tiling scheme) are coded using a unique “NODATA” value. This value is identified in the appropriate location within the file header. Data cover the entire area specified for this project.

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-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

Sources

Classified lidar data

CC ID: 1299079
Contact Role Type: Originator
Contact Type: Organization
Contact Name: US Forest Service

Process Steps

Process Step 1

CC ID: 1299080
Description:

Aerial LiDAR Acquisition: Aerial LiDAR was acquired, in sixteen (16) missions, using an ALS070HP SN7225 at an altitude of 2926 MSL to support a 8ppm^2 LiDAR point cloud. Airborne GPS and IMU data was collected during the acquisition and supported by LEICA SR530 GPS stations on NGS monuments K24, G483, and Z264. Data acquisition was completed between 8th of July through 25th of July 2015.

Ground Control Survey: A survey was performed to support the acquisition of LiDAR collection. Ground GPS collection consists of collection NVA and VVA points for LiDAR validation in addition to control point GPS collection for flight support. All field survey observations were conducted between July 5, 2015 through July 25, 2015 using Leica SR530 and Topcon HiperV Dual Frequency GPS equipment, both configured to log data at 1 Hz, and at 10 degrees mask.

Process Date/Time: 2015-07-25 00:00:00

Process Step 2

CC ID: 1299081
Description:

LiDAR Pre-processing: Airborne GPS and IMU data were merged to develop a Smoothed Best Estimate Trajectory (SBET) of the LiDAR system trajectory for each lift. LiDAR ranging data were initially calibrated using previous best parameters for this instrument and aircraft. Relative calibration was evaluated using advanced plane-matching analysis and parameter corrections derived. This process was repeated interactively until residual errors between overlapping swaths, across all project lifts, was reduced to 2 cm or less. Data were then block adjusted to match surveyed calibration control. Raw data NVA were checked using independently surveyed check points. Swath overage points were identified and tagged within each swath file

Process Date/Time: 2015-07-31 00:00:00

Process Step 3

CC ID: 1299082
Description:

Initial processing of the GPS data was processed using Inertial Explorer. The solution file was generated and CloudPro software was used to generate georeferenced laser returns which were then processed in strip form allowing for the QC of the overlap between strips (lines). The data from each line were combined and automated classification routines run to determine the initial surface model. This initial surface model was then verified to the surveyed test points.

Process Date/Time: 2015-08-11 00:00:00

Process Step 4

CC ID: 1299083
Description:

LiDAR Post-Processing: The calibrated and controlled LiDAR swaths were processed using automatic point classification routines in TerraSolid 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 are stored in the original swath files. After completion of classification and final QC approval, the NVA and VVA for the project are calculated. Sample areas for each land cover type present in the project were extracted and forwarded to the client, along with the results of the accuracy tests. Upon acceptance, the complete classified LiDAR swath files were delivered to the client.

Process Date/Time: 2015-08-16 00:00:00

Process Step 5

CC ID: 1299084
Description:

LiDAR Classification: The calibrated LiDAR data was run through automated classification routines and then manually checked and edited. The data was classified into the following classes:

Class Code:1

Class Item:Undetermined/Unclassified

Class Code:2

Class Item:Bare EarthNoise

Process Date/Time: 2015-08-23 00:00:00

Process Step 6

CC ID: 1299085
Description:

Bare-Earth DEM Creation: Bare-Earth Digital Elevation Models (DEMs) were derived using bare-earth (ground) LiDAR points. All DEMs were created with a grid spacing of 1 meter. The DEMs were cut to 7.5 quads index provided by client.

Process Date/Time: 2015-08-25 00:00:00

Process Step 7

CC ID: 1299086
Description:

Digital elevation models were received from US Forest Service by NOAA Office for Coastal Management in ERDAS Imagine format. The files were converted to cloud optimized GeoTiffs for distribution in the Digital Coast Data Access Viewer.

Process Date/Time: 2023-02-15 00:00:00
Process Contact: NOAA Office for Coastal Management (NOAA/OCM)
Phone (Voice): (843) 740-1202
Email Address: coastal.info@noaa.gov
Source: Classified lidar data

Related Items

Item Type Relationship Type Title
Data Set (DS) Cross Reference 2015 USFS Lidar: Colville National Forest

Point cloud used to create this DEM.

Catalog Details

Catalog Item ID: 69409
GUID: gov.noaa.nmfs.inport:69409
Metadata Record Created By: Kirk Waters
Metadata Record Created: 2023-03-07 20:19+0000
Metadata Record Last Modified By: Kirk Waters
Metadata Record Last Modified: 2024-01-10 19:29+0000
Metadata Record Published: 2024-01-10
Owner Org: OCMP
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2023-02-22
Metadata Review Frequency: 3 Years
Metadata Next Review Date: 2026-02-22