USFS 2020 Lidar: Wallowa-Whitman National Forest
Data Set (DS) | OCM Partners (OCMP)GUID: gov.noaa.nmfs.inport:69262 | Updated: October 17, 2023 | Published / External
Summary
Short Citation
OCM Partners, 2024: USFS 2020 Lidar: Wallowa-Whitman National Forest, https://www.fisheries.noaa.gov/inport/item/69262.
Full Citation Examples
Product: These lidar data are processed Classified LAS 1.4 files, formatted to 1773 individual 1000 m x 1000 m tiles.
Geographic Extent: 7 counties in Oregon, covering approximately 684 total square miles.
Dataset Description: The Wallowa-Whitman National Forest project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 1.3. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to 1773 individual 1000 m x 1000 m tiles. Continuous breaklines were produced in Esri file geodatabase format.
Ground Conditions: Lidar was collected in summer 2020, while no snow was on the ground and rivers were at or below normal levels. Twenty-seven independent accuracy checkpoints, 27 in Bare Earth and Urban landcovers (27 NVA points) were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.
The original lidar specification information has been retained below. However, the class system does not match the data as received by NOAA from USFS, nor the current class system. See the processing lineage for more detail.
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. Change to an orthometric vertical datum is one of the many options.
-
LAS/LAZ - LASer
Bulk download of data files in LAZ format, geographic coordinates, orthometric heights. Note that the vertical datum (hence elevations) of the files here are different than described in this document. They will be in an orthometric datum.
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be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions.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 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
-122.41020171° W,
-116.71886235° E,
45.5762879602° N,
44.1188881178° S
2020-07-11 - 2020-07-23
Item Identification
Title: | USFS 2020 Lidar: Wallowa-Whitman National Forest |
---|---|
Short Name: | WallowaWhitman_35989_point_cloud_inport.xml |
Status: | Completed |
Publication Date: | 2020-12-04 |
Abstract: |
Product: These lidar data are processed Classified LAS 1.4 files, formatted to 1773 individual 1000 m x 1000 m tiles. Geographic Extent: 7 counties in Oregon, covering approximately 684 total square miles. Dataset Description: The Wallowa-Whitman National Forest project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 1.3. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to 1773 individual 1000 m x 1000 m tiles. Continuous breaklines were produced in Esri file geodatabase format. Ground Conditions: Lidar was collected in summer 2020, while no snow was on the ground and rivers were at or below normal levels. Twenty-seven independent accuracy checkpoints, 27 in Bare Earth and Urban landcovers (27 NVA points) were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.
The original lidar specification information has been retained below. However, the class system does not match the data as received by NOAA from USFS, nor the current class system. See the processing lineage for more detail. |
Purpose: |
To acquire detailed surface elevation data for use in conservation planning, design, research, floodplain mapping, dam safety assessments and elevation modeling, etc. Classified LAS files are used to show the manually reviewed bare earth surface. This allows the user to create intensity images and raster DEMs. The purpose of these LiDAR data was to produce high accuracy 3D hydro-flattened digital elevation models (DEMs) with a 0.5 meter cell size. |
Supplemental Information: |
Contract No. 1205M619C0019, CONTRACTOR: Quantum Spatial, Inc. The following are the USGS lidar fields in JSON: {
"ldrinfo" : {
"ldrspec" : "USGS-NGP Base Specification v1.3", "ldrsens" : "Riegl VQ1560i", "ldrmaxnr" : "unlimited", "ldrnps" : "0.35", "ldrdens" : "8.0", "ldranps" : "0.35", "ldradens" : "8.16", "ldrfltht" : "1950", "ldrfltsp" : "145", "ldrscana" : "29", "ldrscanr" : "102", "ldrpulsr" : "593", "ldrpulsd" : "3", "ldrpulsw" : "0.35", "ldrwavel" : "1064", "ldrmpia" : "1", "ldrbmdiv" : "0.18", "ldrswatw" : "2162.0", "ldrswato" : "55", "ldrgeoid" : "Geoid 12b", "ldrcrs" : "NAD 1983 USFS R6 Albers, Meter" }, "ldraccur" : {
"ldrchacc" : "0", "rawnva" : "0.0533", "rawnvan" : "27", "clsnva" : "0.0525", "clsnvan" : "27", "clsvva" : "0.0", "clsvvan" : "0" }, "lasinfo" : {
"lasver" : "1.4", "lasprf" : "6", "laswheld" : "Withheld (ignore) points were identified in these 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" : "Processed, but Unclassified" }, "lasclass" : {
"clascode" : "2", "clasitem" : "Bare-Earth Ground" }, "lasclass" : {
"clascode" : "7", "clasitem" : "Low Noise" }, "lasclass" : {
"clascode" : "18", "clasitem" : "High Noise" }, "lasclass" : {
"clascode" : "21", "clasitem" : "Snow (where identifiable)" } }} |
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 > OREGON
|
Global Change Master Directory (GCMD) Location Keywords |
VERTICAL LOCATION > LAND SURFACE
|
UNCONTROLLED | |
None | Baker County |
None | Grant County |
None | Lane County |
None | Linn County |
None | Umatilla County |
None | Union County |
None | Wallowa County |
Instrument Keywords
Thesaurus | Keyword |
---|---|
Global Change Master Directory (GCMD) Instrument Keywords |
LIDAR > Light Detection and Ranging
|
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 USFS, NOAA, the Office for Coastal Management or its partners |
Data Set Credit: | US Forest Service; Quantum Spatial, Inc. |
Support Roles
Data Steward
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
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
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
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
W° Bound: | -122.41020171 | |
---|---|---|
E° Bound: | -116.71886235 | |
N° Bound: | 45.5762879602 | |
S° Bound: | 44.1188881178 |
Extent Group 1 / Time Frame 1
Time Frame Type: | Range |
---|---|
Start: | 2020-07-11 |
End: | 2020-07-23 |
Spatial Information
Spatial Representation
Representations Used
Grid: | No |
---|---|
Vector: | Yes |
Text / Table: | No |
TIN: | No |
Stereo Model: | No |
Video: | No |
Reference Systems
Reference System 1
Coordinate Reference System |
|||||||||||||||||||||||||||||||||||||||||
|
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
Start Date: | 2023-02-09 |
---|---|
End Date: | Present |
Download URL: | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9716/details/9716 |
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. Change to an orthometric vertical datum is one of the many options. |
File Type (Deprecated): | Zip |
Compression: | Zip |
Distribution 2
Start Date: | 2023-02-09 |
---|---|
End Date: | Present |
Download URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9716/index.html |
Distributor: | NOAA Office for Coastal Management (NOAA/OCM) (2023 - Present) |
File Name: | Bulk Download |
Description: |
Bulk download of data files in LAZ format, geographic coordinates, orthometric heights. Note that the vertical datum (hence elevations) of the files here are different than described in this document. They will be in an orthometric datum. |
File Type (Deprecated): | LAZ |
Distribution Format: | LAS/LAZ - LASer |
Compression: | Zip |
URLs
URL 1
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
URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9716/supplemental/WallowaWhitman_extent_m9716.kmz |
---|---|
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/geoid18/9716/supplemental/WallowaWhitman_ProjectReport_2020.pdf |
---|---|
Name: | Report |
URL Type: |
Online Resource
|
File Resource Format: |
Technical Environment
Description: |
MicroStation Version Connect; TerraScan Version 20.011; TerraModeler Version 20.004; GeoCue Version 2017.1.14.1; Esri ArcGIS 10.6; Global Mapper 19/20; RiProcess 1.8.5; Windows 10 Operating System \\point_cloud\tilecls\*.las |
---|
Data Quality
Vertical Positional Accuracy: |
The specifications require that only nonvegetated vertical accuracy (NVA) be computed for raw LiDAR data swath files. The vertical accuracy was tested with 27 independent survey points located in open terrain. These check points were not used in the calibration or post processing of the LiDAR data. The survey check points were distributed throughout the project area.Quantitative value: 0.0533, Test that produced the value: Tested 0.0533 meters NVA at a 95% confidence level using 27 independent survey points located in open terrain. The survey check points were distributed throughout the project area. The 27 independent check points were surveyed using GPS techniques. See survey report for additional survey methodologies. Elevations from the unclassified LiDAR surface were measured for the x,y location of each checkpoint. Elevations interpolated from the LiDAR surface were then compared to the elevation values of the surveyed control points. The root mean square error vertical (RMSEz) was computed to be 0.0272 meters. AccuracyZ has been tested to meet 19.0 cm NVA at 95-percent confidence level using (RMSEz * 1.9600) as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using American Society of Photogrammetry and Remote Sensing (ASPRS) Guidelines. |
---|---|
Completeness Report: |
These LAS data files include 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 the data pass Non-Vegetated Vertical Accuracy specifications. |
Conceptual Consistency: |
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 Point Cloud
Contact Role Type: | Originator |
---|---|
Contact Type: | Organization |
Contact Name: | US Forest Service |
Source Contribution: |
Point cloud provided to NOAA from USFS |
Process Steps
Process Step 1
Description: |
Raw Data and Boresight Processing: The boresight for each lift was done individually as the solution may change slightly from lift to lift. The following steps describe the Raw Data Processing and Boresight process: 1) Technicians processed the raw data to LAS format flight lines using the final GPS/IMU solution. This LAS data set was used as source data for boresight. 2) Technicians first used Quantum Spatial, Inc. proprietary and commercial software to calculate initial boresight adjustment angles based on sample areas selected in the lift. These areas cover calibration flight lines collected in the lift, cross tie, and production flight lines. These areas are well distributed in the lift coverage and cover multiple terrain types that are necessary for boresight angle calculation. The technicians then analyzed the results and made any necessary additional adjustment until it was acceptable for the selected areas. 3) Once the boresight angle calculation was completed for the selected areas, the adjusted settings were applied to all of the flight lines of the lift and checked for consistency. The technicians utilized commercial and proprietary software packages to analyze how well flight line overlaps matched for the entire lift and adjusted as necessary until the results met the project specifications. 4) Once all lifts were completed with individual boresight adjustment, the technicians checked and corrected the vertical misalignment of all flight lines and also the matching between data and ground truth. The relative accuracy was less than or equal to 7 cm RMSEz within individual swaths and less than or equal to 10 cm RMSEz or within swath overlap (between adjacent swaths). 5) The technicians ran a final vertical accuracy check of the boresighted flight lines against the surveyed checkpoints after the z correction to ensure the requirement of NVA = 19.6 cm 95% Confidence Level (Required Accuracy) was met. |
---|---|
Process Date/Time: | 2020-01-01 00:00:00 |
Process Step 2
Description: |
LAS Point Classification: The point classification was performed as described below. The bare earth surface was manually reviewed to ensure correct classification on the Class 2 (Ground) points. After the bare-earth surface was finalized, it was then used to generate all hydro-breaklines through heads-up digitization. All ground (ASPRS Class 2) LiDAR data inside of the Lake Pond and Double Line Drain hydro-flattened breaklines were then classified to Water (ASPRS Class 9) using TerraScan macro functionality. A buffer of 1 meter was also used around each hydro-flattened feature to classify these ground (ASPRS Class 2) points to Ignored ground (ASPRS Class 20). All Lake Pond Island and Double Line Drain Island features were checked to ensure that the ground (ASPRS Class 2) points were reclassified to the correct classification after the automated classification was completed. All overlap data was processed through automated functionality provided by TerraScan to classify the overlapping flight line data to approved classes. The overlap data was classified using standard LAS overlap bit. These classes were created through automated processes only and were not verified for classification accuracy. Due to software limitations within TerraScan, these classes were used to trip the withheld bit within various software packages. These processes were reviewed and accepted through numerous conference calls and pilot study areas. All data were manually reviewed and any remaining artifacts removed using functionality provided by TerraScan and TerraModeler. Global Mapper was used as a final check of the bare earth dataset. GeoCue was then used to create the deliverable industry-standard LAS files for both the All Point Cloud Data and the Bare Earth. Quantum Spatial, Inc. proprietary software was used to perform final statistical analysis of the classes in the LAS files, on a per tile level to verify final classification metrics and full LAS header information. |
---|---|
Process Date/Time: | 2020-01-01 00:00:00 |
Process Step 3
Description: |
The point cloud data was received by NOAA Office for Coastal Management from the US Forest Service Region 6. For ingest into the Digital Coast Data Access Viewer, the projection was changed from the USFS region 6 Albers to geographic and the geoid model (geoid12b) was removed. The point classes were found to have at least a small number (30 to 50) of points in all 255 possible classes. Of the classes with a significant number of points, visual inspection revealed that class 14 was bridge decks. This was moved to class 17 to conform to the ASPRS LAS 1.4 specification. All classes with a small number of points were reset to class 1 (unclassified). |
---|---|
Process Date/Time: | 2023-02-08 00:00:00 |
Process Contact: | Office for Coastal Management (OCM) |
Source: | Classified Lidar Point Cloud |
Catalog Details
Catalog Item ID: | 69262 |
---|---|
GUID: | gov.noaa.nmfs.inport:69262 |
Metadata Record Created By: | Kirk Waters |
Metadata Record Created: | 2023-02-09 12:00+0000 |
Metadata Record Last Modified By: | SysAdmin InPortAdmin |
Metadata Record Last Modified: | 2023-10-17 16:12+0000 |
Metadata Record Published: | 2023-02-09 |
Owner Org: | OCMP |
Metadata Publication Status: | Published Externally |
Do Not Publish?: | N |
Metadata Last Review Date: | 2023-02-09 |
Metadata Review Frequency: | 3 Years |
Metadata Next Review Date: | 2026-02-09 |