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Short Citation:
OCM Partners, 2024: 2013 UAF/GINA Lidar: Vallenar Bay, Alaska, https://www.fisheries.noaa.gov/inport/item/53623.

Item Identification

Title: 2013 UAF/GINA Lidar: Vallenar Bay, Alaska
Short Name: ak2013_vallenar_m8595_metadata
Status: Completed
Publication Date: 2013-09-12
Abstract:

The University of Alaska Fairbanks, Geographic Information Network of Alaska (UAF/GINA) provided Aero-Metric, Inc. (AeroMetric) and Watershed Sciences, Inc. (WSI) with detailed specifications for this project in the spring of 2013. Planning and acquisition of airborne LiDAR data was carried out by WSI in early May of 2013.

This delivery contains point cloud data in LAS 1.2 format classified in the following manner:

Class 1: Unclassified

Class 2: Bare Earth Ground

Class 3: Low Vegetation (vegetation within 12 inches of the ground surface)

Class 4: Medium Vegetation (vegetation greater than 12 inches, but less than 36 inches above the ground surface)

Class 5: High Vegetation (vegetation greater than 36 inches above the ground surface)

Class 6: Buildings

Class 7: Noise

Class 8: Ground Model Keypoints

Class 9: Water

Class 10: Breakline Proximity

Class 14: Bridge Decks

The following are the collection parameters and equipment used to create these data sets:

Aircraft: Cessna Caravan (N604MD)

LiDAR System: Leica ALS60

Approximate Collection Altitude (Above Mean Terrain): 900 meters

Ground Speed: 160 kts

Pulse Rate Frequency: 98-106 kHz

Mirror Scan Frequency: 66 Hz

Scan Angle (+/-): 14 degrees

Accuracy statements are based on areas of moderate terrain, with points classified as ground. Diminished accuracies are to be expected in areas of extreme terrain and dense vegetation. The accuracy of each point is expected to meet the vertical accuracy standard, derived products may be less accurate in areas of extreme terrain and dense vegetation due to a lesser number of points defining the ground in these areas. Classified data sets such as this one may have varying posting due to some pulses not reaching the ground.

The NOAA Office for Coastal Management (OCM) downloaded this lidar data from the AK DGGS site (https://elevation.alaska.gov/) and processed the data to be available on the Digital Coast Data Access Viewer (DAV). OCM processed all points to the Digital Coast Data Access Viewer (DAV).

Purpose:

The purpose of this data set is to provide LiDAR-derived topographic data for transportation planning and road construction.

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
UNCONTROLLED
None beach
None erosion
None Terrain

Spatial Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > ALASKA
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: Point Cloud (digital)
Distribution Liability:

AeroMetric assumes no liability for the data being used for purposes other than stated in this document.

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: AeroMetric, Watershed Sciences, Inc.

Support Roles

Data Steward

CC ID: 772715
Date Effective From: 2018
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: 772716
Date Effective From: 2018
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: 772717
Date Effective From: 2018
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: 772718
Date Effective From: 2018
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: 1141641
W° Bound: -131.851962111
E° Bound: -131.724883444
N° Bound: 55.410482472
S° Bound: 55.312103583

Extent Group 1 / Time Frame 1

CC ID: 1141640
Time Frame Type: Discrete
Start: 2013-05-07

Access Information

Security Class: Unclassified
Data Access Procedure:

Data is available online for custom and bulk 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: 772722
Start Date: 2018
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8595
Distributor:
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.

Compression: Zip

Distribution 2

CC ID: 772723
Start Date: 2018
End Date: Present
Download URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8595/index.html
Distributor:
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.

File Type (Deprecated): LAZ
Distribution Format: LAS/LAZ - LASer
Compression: Zip

URLs

URL 1

CC ID: 772710
URL: https://coast.noaa.gov/
Name: NOAA's Office for Coastal Management (OCM) website
URL Type:
Online Resource
File Resource Format: HTML
Description:

Information on the NOAA Office for Coastal Management (OCM)

URL 2

CC ID: 772711
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 3

CC ID: 772712
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8595/supplemental/ak2013_vallenar.kmz
Name: Browse graphic
URL Type:
Browse Graphic
File Resource Format: KML
Description:

This graphic displays the footprint for this lidar data set.

URL 4

CC ID: 772713
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8595/supplemental/Vallenar_Bay_LiDAR_Processing_QAQC.pdf
Name: Dataset report
URL Type:
Online Resource
File Resource Format: PDF
Description:

Link to data set report.

Technical Environment

Description:

Microsoft Windows 2000 Version 5.0 (Build 2195) Service

Pack 4; LiDARTools 1.0.9

Data Quality

Horizontal Positional Accuracy:

Data products collected were acquired at or below 900 meters above mean terrain (AMT) and have a horizontal accuracy of 0.2 meters or better (per manufacturers system specifications).

Vertical Positional Accuracy:

The vertical accuracy of the Classified Bare Earth for Vallenar Bay is 0.275 US Survey Feet at a 95% confidence level (RMSE*1.96 (95% CI - NSSDA)) in the "Open Terrain" land cover category or 4.3 cm RMSE. 634 survey control points were used for the Vallenar Bay data.

The Consolidated Vertical Accuracy is 0.45 US Survey Feet at the 95th Percentile, calculated using 762 check points.

Supplemental Vertical Accuracies are as follows:

Open-Logged : 0.66 US Survey Feet at the 95th Percentile

Tall Grass : 1.12 US Survey Feet at the 95th Percentile

Mixed Brush : 0.62 US Survey Feet at the 95th Percentile

Mature Trees : 0.45 US Survey Feet at the 95th Percentile

Small Trees : 1.8 US Survey Feet at the 95th Percentile

Completeness Report:

Complete

Conceptual Consistency:

QAQC ground survey points were collected by SurvBase, LLC and supplied to Watershed Sciences, Inc. (WSI)

Lineage

Process Steps

Process Step 1

CC ID: 1141629
Description:

WSI created a smoothed-best estimated trajectory (SBET) of the sensor at a rate of 200 Hz, by integrating the airborne GPS and IMU data The basis of the GPS coordinates were two dual frequency GPS receivers, collecting data at a rate of 2 Hz operated by Aero-Metric during the acquisition phase of this project, and were referenced to NAD83 (CORS96) ellipsoid heights.

Process Date/Time: 2013-05-31 00:00:00

Process Step 2

CC ID: 1141631
Description:

WSI integrated SBET and raw laser data to produce point cloud data in LAS 1.2 format for each flight line.

Process Date/Time: 2013-06-03 00:00:00

Process Step 3

CC ID: 1141632
Description:

WSI processed data calibration: An in-situ calibration was performed using the data collect for this project. The data was classified in each line separately for ground and other common features between lines, such as building roofs. This data was processed in TerraMatch 11.001 (TerraSolid, Ltd.), to compute corrections for roll, pitch, heading, and mirror scale. These corrections are applied in order to minimize discrepancies between flight lines.

Process Date/Time: 2013-06-12 00:00:00

Process Step 4

CC ID: 1141633
Description:

WSI automated classification of the bare-earth data from the LiDAR point cloud using a series of algorithms customized for the types of terrain encountered in the project.

Process Date/Time: 2013-06-13 00:00:00

Process Step 5

CC ID: 1141634
Description:

WSI manually classified any data which appears to be improperly classified using the automated methods.

Process Date/Time: 2013-06-20 00:00:00

Process Step 6

CC ID: 1141635
Description:

WSI provided AeroMetric with calibrated, vertically adjusted, and classified LiDAR data in the Vallenar Bay area.

Process Date/Time: 2013-06-25 00:00:00

Process Step 7

CC ID: 1141636
Description:

AeroMetric completed a series of evaluations including verifying density requirements, confirming relative and absolute accuracies, reviewing coverage and classification's, and confirming the reproducibility of ranges within the LiDAR Data.

Process Step 8

CC ID: 1141637
Description:

Due to tiling artifacts being identified in the low vegetation and high vegetations, using a automated method those classes were properly re-classified.

Process Date/Time: 2013-09-09 00:00:00

Process Step 9

CC ID: 1141638
Description:

Create point cloud data, by tile in LAS 1.2 format.

Process Step 10

CC ID: 1141630
Description:

The NOAA Office for Coastal Management (OCM) downloaded 32 laz files from the Alaska Division of Geological and Geophysical Surveys data Portal (https://elevation.alaska.gov/). The files contained classified elevation and intensity measurements for the 2013 Vallenar Bay data set. The data were in Alaska State Plane, Zone 5001 coordinates (NAD83 2011, US survey feet) and NAVD88 elevations (GEOID12A) in feet. The data were classified: Class 1: Unclassified, Class 2: Bare-earth ground, Class 3: Low vegetation, Class 4: Medium Vegetation, Class 5: High Vegetation, Class 6_ Buildings, Class 7: Noise, Class 8: Ground Model Keypoints, Class 9: Water, Class 10: Breakline Proximity, Class 14: Bridge Decks. Low vegetation is defined in the report as vegetation within 12 inches of the ground surface, medium vegetation as vegetation greater than 12 inches, but less than 36 inches above the ground surface and high vegetation as vegetation greater than 36 inches above the ground surface. OCM processed all points to the Digital Coast Data Access Viewer (DAV).

OCM performed the following processing on the data for Digital Coast storage and provisioning purposes:

1. The LAStools software scripts lasinfo and lasvalidate were run on the laz files to check for errors.

2. An internal OCM script was run to check the number of points by classification and by flight ID and the gps times and intensity ranges.

3. Internal OCM scripts were run on the laz files to convert from Alaska State Plane, Zone 5001 coordinates to geographic coordinates, to convert from NAVD88 elevations to ellipsoid elevations using the GEOID12A model, to convert from feet to meters, to assign the geokeys, to assign a lidar domain profile, to sort the data by gps time and zip the data to database and to http.

Process Date/Time: 2018-09-10 00:00:00
Process Contact: Office for Coastal Management (OCM)

Catalog Details

Catalog Item ID: 53623
GUID: gov.noaa.nmfs.inport:53623
Metadata Record Created By: Rebecca Mataosky
Metadata Record Created: 2018-09-10 11:35+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2023-10-17 16:12+0000
Metadata Record Published: 2022-03-16
Owner Org: OCMP
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2022-03-16
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2023-03-16