69409
2015 USFS Lidar DEM: Colville National Forest, WA
2015 colville NF m9771
Data Set
Published / External
49401
Lidar - partner (no harvest)
Project
Completed
2023-02-22
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
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.
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"
}
}}
Theme
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
Theme
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
Theme
ISO 19115 Topic Category
elevation
Spatial
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
Spatial
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > WASHINGTON
Spatial
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > LAND SURFACE
Instrument
Global Change Master Directory (GCMD) Instrument Keywords
LIDAR > Light Detection and Ranging
Platform
Global Change Master Directory (GCMD) Platform Keywords
Airplane > Airplane
Office for Coastal Management
Charleston
SC
Data Set
Elevation
As Needed
Model (digital)
Tiled LiDAR DEM for Colville NF
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
United States Forest Service; Atlantic, Inc
Data Steward
2023
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Distributor
2023
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Metadata Contact
2023
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Point of Contact
2023
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Ground Condition
-118.51279
-117.278985
49.019502
48.19707
Range
2015-07-08
2015-07-25
Yes
No
No
No
Projected
EPSG:9674
NAD83 / USFS R6 Albers
North American Datum 1983
GRS 1980
6378137
298.257222101
NAD83
US Forest Service region 6 Albers
Albers Equal Area
Latitude of false origin
34
degree
Longitude of false origin
-120
degree
Latitude of 1st standard parallel
43
degree
Latitude of 2nd standard parallel
48
degree
Easting at false origin
600000
metre
Northing at false origin
0
metre
1
Easting
E
metre
east
2
Northing
N
metre
north
Vertical
EPSG:5703
NAVD88 height
North American Vertical Datum 1988
1
Gravity-related height
H
metre
up
Unclassified
Data is available online for bulk or custom downloads
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.
2023-02-15
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9771/details/9771
2023
Organization
NOAA Office for Coastal Management
Customized Download
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.
Zip
Zip
2023-02-15
https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/USFS_Colville_NF_2015_9771/index.html
2023
Organization
NOAA Office for Coastal Management
Bulk Download
Bulk download of data files in cloud optimized GeoTiff format.
GeoTIFF
GeoTIFF
https://coast.noaa.gov/dataviewer/
NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV)
Online Resource
HTML
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.
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9755/supplemental/15137_AerialLidarReport.pdf
Report
Online Resource
PDF
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9755/supplemental/15137_SurveyReport.pdf
Report
Online Resource
PDF
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
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 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.
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.
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.
Yes
Unknown
Yes
NCEI-CO
Data is backed up to tape and to cloud storage.
Classified lidar data
Organization
US Forest Service
Originator
1
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.
2015-07-25T00:00:00
2
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
2015-07-31T00:00:00
3
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.
2015-08-11T00:00:00
4
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.
2015-08-16T00:00:00
5
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
2015-08-23T00:00:00
6
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.
2015-08-25T00:00:00
7
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.
2023-02-15T00:00:00
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Classified lidar data
69336
Data Set
2015 USFS Lidar: Colville National Forest
Cross Reference
Point cloud used to create this DEM.
gov.noaa.nmfs.inport:69409
Kirk Waters
2023-03-07T20:19:02
Kirk Waters
2024-01-10T19:29:11
2024-01-10
OCM Partners
OCMP
1002
Public
No
2023-02-22
3 Years
2026-02-22