2017 WRCD USFS Lidar: Upper Wenatchee, WA
OCM Partners
Data Set
(DS)
| ID: 69717
| Published / External
Created: 2023-04-28
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Last Modified: 2023-10-17
Project (PRJ) | ID: 49401
ID: 69717
Data Set (DS)
* Discovery• First Pass
» Metadata Rubric
Item Identification
* » Title | 2017 WRCD USFS Lidar: Upper Wenatchee, WA |
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Short Name | 2017 wenatchee lidar m9823.xml |
* Status | Completed |
Creation Date | |
Revision Date | |
• Publication Date | 2023-04-28 |
* » Abstract |
Geographic Extent: This data set is consisting of lidar point cloud, classified lidar, and digital elevation model, which all pieces encompasses the Washington Resource Conservation and Development Council (WRCD) 2017 Lidar area of interest (AOI), approximately 128 square miles or 318 square kilometers. Data set Description: This data set consists of lidar point cloud LAS swath files and tiled LAS files. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. Each file represents a separate swath of lidar. Lidar Base Specification 1.2 Ground Conditions: water at normal levels; no unusual inundation; no snow; leaf off How the Withheld Points are Identified: Withheld (ignore) points were identified in the files using the standard LAS Withheld bit. Class Code:1 Class Item:Unclassified Class Code:2 Class Item:Ground Class Code:7 Class Item:Low Noise Class Code:18 Class Item:High Noise |
* Purpose |
The primary purpose of the lidar survey was to establish measurements of the bare earth surface, as well as top surface feature data for providing geometric inputs for modeling, other numerical modeling and economic related assessments. |
Notes | |
Other Citation Details | |
• Supplemental Information |
All lidar data was acquired, calibrated, and used in the creation of lidar derived products by Atlantic. |
DOI (Digital Object Identifier) | |
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DOI Issue Date |
Keywords
Theme Keywords
Thesaurus | Keyword |
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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 |
Temporal Keywords
Thesaurus | Keyword |
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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 |
Global Change Master Directory (GCMD) Location Keywords | VERTICAL LOCATION > LAND SURFACE |
None | Chelan County |
None | Washington |
None | Wenatchee |
Stratum Keywords
Thesaurus | Keyword |
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Instrument Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Instrument Keywords | LIDAR > Light Detection and Ranging |
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 |
• Country | |
• » Location Description |
Data Set Information
* Data Set Scope Code | Data Set |
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• Data Set Type | Elevation |
• Maintenance Frequency | As Needed |
Maintenance Note | |
» Data Presentation Form | Model (digital) |
• Entity Attribute Overview | |
Entity Attribute Detail Citation |
Lidar tiles and associated derived products for WRCD |
Entity Attribute Detail URL | |
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 | Washington Resource Conservation and Development Council; US Forest Service; Atlantic |
Support Roles
* » Support Role | Data Steward |
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* » Date Effective From | 2023 |
Date Effective To | |
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 |
Fax | |
Mobile | |
URL | https://coast.noaa.gov |
Business Hours | |
Contact Instructions |
* » Support Role | Distributor |
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* » Date Effective From | 2023 |
Date Effective To | |
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 |
Fax | |
Mobile | |
URL | https://coast.noaa.gov |
Business Hours | |
Contact Instructions |
* » Support Role | Metadata Contact |
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* » Date Effective From | 2023 |
Date Effective To | |
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 |
Fax | |
Mobile | |
URL | https://coast.noaa.gov |
Business Hours | |
Contact Instructions |
* » Support Role | Point of Contact |
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* » Date Effective From | 2023 |
Date Effective To | |
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 |
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URL | https://coast.noaa.gov |
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Extents
Currentness Reference | Ground Condition |
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Extent Group 1
Extent Description |
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Extent Group 1 / Geographic Area 1
* » W° Bound | -120.845293 |
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* » E° Bound | -120.509471 |
* » N° Bound | 47.915124 |
* » S° Bound | 47.638272 |
* » Description |
Extent Group 1 / Vertical Extent
EPSG Code | |
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Extent Group 1 / Time Frame 1
* » Time Frame Type | Range |
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* » Start | 2017-10-05 |
End | 2017-10-15 |
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Spatial Information
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Spatial Representation
Grid Representation Used? | No |
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Vector Representation Used? | Yes |
Text / Table Representation Used? | No |
TIN Representation Used? | No |
Stereo Model Representation Used? | No |
Video Representation Used? | No |
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Point Object Present? | Yes |
Point Object Count | 6248414064 |
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Reference Systems
Reference System
EPSG Code | EPSG:6319 | ||||||||||||||||||||||||||||
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Access Information
Data License | |
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Data License Statement | |
* » Security Class | Unclassified |
* Security Classification System | |
Security Handling Description | |
• Data Access Policy | |
» 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. |
Metadata Access Constraints | |
Metadata Use Constraints |
Distribution Information
Start Date | 2023-04-28 |
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End Date | Present |
» Download URL | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9823/details/9823 |
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 Date/Time | |
File Type (Deprecated) | Zip |
Distribution Format | |
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Compression | Zip |
Review Status |
Start Date | 2023-04-28 |
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End Date | Present |
» Download URL | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9823/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 Date/Time | |
File Type (Deprecated) | LAZ |
Distribution Format | LAS/LAZ - LASer |
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Compression | Zip |
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URLs
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 |
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 | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9823/supplemental/2017_Upper_Wenatchee_extent_m9823.kmz |
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Name | Browse graphic |
URL Type | Browse Graphic |
File Resource Format | KML |
Description |
This graphic displays the footprint for this lidar data set. |
URL | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9823/supplemental/17080_Aerial_Lidar_Report.pdf |
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Name | Report |
URL Type | Online Resource |
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Issues
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Technical Environment
Description |
CloudPro 1.2.0 Build 85620; GeoCue Version 2014.1.21.5; LP360 v2015.1.76.18;TerraSlave v16.002; TerraScan v16.004; TerraModeler v16.002; Global Mapper v18.0.0; Windows 10 Operating System; ArcMap 10.3 \\hydra\Operations\2017\17080_WARCD_UpperWenatchee_Lidar\500_Final 184 GB |
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Data Quality
Representativeness | |
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Accuracy | |
Analytical Accuracy | |
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: 40.0 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 8cm and the IMU error of 0.00427 degrees at an altitude of 2,900m; the expected radial horizontal positional error will be RMSEr = 40.0cm. |
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. Twenty-Eight (28) surveyed points were measured for the purpose of assessing the accuracy of the lidar data. Required CVA: 29.4cm. Required FVA : 19.6cm. Quantitative values: 14.5 cm (CFVA), 13.5 cm (CVA) Test that produced the value: 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 FVA accuracy of the bare-earth was found to be +/- 14.5 cm at 95% confidence level. Actual CVA accuracy was found to be +/-13.5 cm at the 95th percentile. |
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Comparability | |
Completeness Measure | |
Precision | |
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Field Precision | |
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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 128 square mile area of interest for the project. 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. |
» Quality Control Procedures Employed |
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 |
» Is Access to the Data Limited Based on an Approved Waiver? | |
» If Distributor (Data Hosting Service) is Needed, Please Indicate | |
» Approximate Delay Between Data Collection and Dissemination | |
» If Delay is Longer than Latency of Automated Processing, Indicate Under What Authority Data Access is Delayed | |
» Actual or Planned Long-Term Data Archive Location | NCEI-CO |
» Approximate Delay Between Data Collection and Archiving | |
» 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 |
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Sources
Citation Title | Classified lidar points |
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Contact Role Type | Originator |
Contact Type | Organization |
Contact Name | USFS |
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Process Steps
Process Step Number | 1 |
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» Description |
Aerial Lidar Acquisition: Aerial data collection was acquired in five (5) flight missions, using the ALS70 SN#7123/7225 at an altitude of 2900 meters AGL. Airborne GPS and IMU data was collected during the acquisition. Data acquisition was completed on October 15, 2017. |
Process Date/Time | 2017-10-15 00:00:00 |
Process Contact | |
Phone (Voice) | |
Email Address | |
Source |
Process Step Number | 2 |
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» Description |
Lidar Pre-processing: Airborne GPS and IMU data were merged to develop a Smoothed Best Estimate Trajectory (SBET) of the lidar system 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 | 2017-10-15 00:00:00 |
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Process Step Number | 3 |
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» 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 | 2017-10-16 00:00:00 |
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Process Step Number | 4 |
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» 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 | 2017-10-30 00:00:00 |
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Process Step Number | 5 |
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» 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: 1-unclassified*, 2-ground, 7-low noise and 18-high noise |
Process Date/Time | 2017-12-15 00:00:00 |
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Process Step Number | 6 |
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» Description |
Classified lidar data was received by NOAA Office for Coastal Management from the U.S. Forest Service in Albers USFS region 6 projection (EPSG:9674) meters with vertical values in NAVD88 (Geoid12B) meters. For ingest into the Digital Coast Data Access Viewer, data were transformed to geographic coordinates (NAD83(2011)) and ellipsoid heights. Individual files were reorganized into the COPC varient of LAZ format to support streaming operations. |
Process Date/Time | 2023-04-28 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 points |
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Acquisition Information
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Child Items
Rubric scores updated every 15m
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Related Items
Item Type | Relationship Type | Title |
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Data Set (DS) | Cross Reference |
2017 WRCD USFS Lidar DEM: Wenatchee, WA DEM created from this point cloud |
Catalog Details
Catalog Item ID | 69717 |
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Metadata Record Created By | Kirk Waters |
Metadata Record Created | 2023-04-28 10:56+0000 |
Metadata Record Last Modified By | SysAdmin InPortAdmin |
» Metadata Record Last Modified | 2023-10-17 16:12+0000 |
Metadata Record Published | 2023-04-28 |
Owner Org | OCMP |
Metadata Publication Status | Published Externally |
Do Not Publish? | N |
Metadata Workflow State | Published / External |
Metadata Last Review Date | 2023-04-28 |
Metadata Review Frequency | 3 Years |
Metadata Next Review Date | 2026-04-28 |
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