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Short Citation:
OCM Partners, 2023: 2020 AK DGGS Lidar: Haines, Alaska, https://www.fisheries.noaa.gov/inport/item/68536.

Item Identification

Title: 2020 AK DGGS Lidar: Haines, Alaska
Short Name: ak2020_haines_m9670_metadata
Status: Completed
Creation Date: 2020
Publication Date: 2021
Abstract:

The Alaska Division of Geological & Geophysical Surveys (DGGS) used aerial lidar to produce a digital terrain model (DTM), surface model (DSM), and intensity image for an area in and around the community of Haines, Alaska, as part of emergency operations in response to the December 2, 2020, landslide that claimed the lives of two residents. Airborne data were collected December 8 - 12, 2020, and subsequently processed in Terrasolid and ArcGIS. Ground control were collected December 15-16, by the DMLW. This data collection is released as a Raw Data File with an open end-user license. All files can be downloaded free of charge from the Alaska Division of Geological & Geophysical Surveys website (http://doi.org/10.14509/30595).

The NOAA Office for Coastal Management (OCM) downloaded this data set from this AK DGGS site:

https://elevation.alaska.gov/

These files were processed to the NOAA Digital Coast Data Access Viewer (DAV) and AWS S3. The total number of files downloaded was 209, but only 203 of the 209 files were processed.

In addition to the lidar point data, the bare earth Digital Elevation Model (DEM) data at a 1 meter grid spacing, created from the lidar point data are also available from the NOAA Digital Coast. Links to these data are provided in the URL section of this metadata record.

Purpose:

The Alaska Division of Geological & Geophysical Surveys (DGGS) used aerial lidar to produce a digital terrain model (DTM), surface model (DSM), and intensity image for an area in and around the community of Haines, Alaska, as part of emergency operations in response to the December 2, 2020, landslide that claimed the lives of two residents.

Supplemental Information:

>classified point cloud data: Classified point cloud data is provided in this collection in compressed LAZ format. Data are classified in accordance with ASPRS 2014 guidelines and contain return and intensity information. The average pulse spacing was 10.67 cm and the average density was 87.75 pts/m2 (fig. 2). Elevation surfaces interpolated from areas with a point density of fewer than 4pts/m2 were classified as no data.

>digital surface model: The DSM represents surface elevations, including heights of vegetation, buildings, bridges, etc. The DSM is a single band, 32-bit GeoTIFF file, with a ground sample distance of 1 meter. No Data value is set to -3.40282306074e+038.

>digital terrain model: The DTM represents surface elevations of ground surfaces, excluding vegetation, bridges, buildings, etc. The DTM is a single-band, 32-bit float GeoTIFF file, with a ground sample distance of 1 meter. No Data value is set to -3.40282306074e+038.

>lidar intensity image: The lidar intensity image describes the relative amplitude of reflected signals contributing to the point cloud. Lidar intensity is largely a function of scanned object reflectance in relation to the signal frequency, is dependent on ambient conditions, and is not necessarily consistent between separate scans. The intensity image is a single-band, 32-bit float GeoTIFF file with a ground sample distance of 1 meter. No Data value is set to -3.40282306074e+038 (32-bit, floating-point minimum).

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
ISO 19115 Topic Category
geoscientificInformation

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 > ALASKA
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > LAND SURFACE
UNCONTROLLED
Alaska Division of Geological & Geophysical Surveys Chilkat Inlet
Alaska Division of Geological & Geophysical Surveys Chilkat River
Alaska Division of Geological & Geophysical Surveys Chilkat State Park
Alaska Division of Geological & Geophysical Surveys Chilkoot Inlet
Alaska Division of Geological & Geophysical Surveys Chilkoot Lake
Alaska Division of Geological & Geophysical Surveys Chilkoot Lake State Recreation Area
Alaska Division of Geological & Geophysical Surveys Dayehas Creek
Alaska Division of Geological & Geophysical Surveys Ferebee River
Alaska Division of Geological & Geophysical Surveys Haines
Alaska Division of Geological & Geophysical Surveys Johnson Creek
Alaska Division of Geological & Geophysical Surveys Letnikof Cove
Alaska Division of Geological & Geophysical Surveys Lily Lake
Alaska Division of Geological & Geophysical Surveys Low Point
Alaska Division of Geological & Geophysical Surveys Lynn Canal
Alaska Division of Geological & Geophysical Surveys Mink Creek
Alaska Division of Geological & Geophysical Surveys Nahku Portage
Alaska Division of Geological & Geophysical Surveys Nukdik Point
Alaska Division of Geological & Geophysical Surveys Shakuseyi Creek
Alaska Division of Geological & Geophysical Surveys Shiyi Bay
Alaska Division of Geological & Geophysical Surveys Taiya Inlet
Alaska Division of Geological & Geophysical Surveys Tanani
Alaska Division of Geological & Geophysical Surveys Tlegu Beach
Alaska Division of Geological & Geophysical Surveys Yindastuki

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: Model (digital)
Distribution Liability:

The State of Alaska makes no expressed or implied warranties (including warranties for merchantability and fitness) with respect to the character, functions, or capabilities of the electronic data or products or their appropriateness for any user's purposes. In no event will the State of Alaska be liable for any incidental, indirect, special, consequential, or other damages suffered by the user or any other person or entity whether from the use of the electronic services or products or any failure thereof or otherwise. In no event will the State of Alaska's liability to the Requestor or anyone else exceed the fee paid for the electronic service or product.

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: These data were paid for by the State of Alaska and collected and processed by DGGS., Daanen, R.P. Herbst, A.M. Wikstrom Jones, Katreen Wolken, G.J.

Support Roles

Data Steward

CC ID: 1194326
Date Effective From: 2022
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: 1194325
Date Effective From: 2022
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: 1194327
Date Effective From: 2022
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: 1194328
Date Effective From: 2022
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: 1194331
W° Bound: -135.603351
E° Bound: -135.292675
N° Bound: 59.337092
S° Bound: 59.161999

Extent Group 1 / Time Frame 1

CC ID: 1194330
Time Frame Type: Range
Start: 2020-12-08
End: 2020-12-12

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

CC ID: 1194379

Coordinate Reference System

CRS Type: Geographic 3D
EPSG Code: EPSG:6319
EPSG Name: NAD83(2011)
See Full Coordinate Reference System Information

Access Information

Security Class: Unclassified
Data Access Procedure:

Data is available online for bulk and 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: 1194332
Start Date: 2022-11-22
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9670/details/9670
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2022 - 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: Zip
Compression: Zip

Distribution 2

CC ID: 1194333
Start Date: 2022-11-22
End Date: Present
Download URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/9670/index.html
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2022 - 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: LAZ

URLs

URL 1

CC ID: 1194324
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: 1194380
URL: https://dggs.alaska.gov/webpubs/dggs/rdf/text/rdf2021_004.pdf
Name: Lidar Report
URL Type:
Online Resource
File Resource Format: pdf
Description:

This lidar report provides accompanying information about the collection and processing of this lidar data set.

URL 3

CC ID: 1194381
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/9670/supplemental/ak2020_haines_m9670.kmz
Name: Browse Graphic
URL Type:
Browse Graphic
File Resource Format: kmz
Description:

This graphic displays the footprint for this lidar data set.

URL 4

CC ID: 1195001
URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9671/details/9671
Name: Custom DEM Download
URL Type:
Online Resource
File Resource Format: Zip
Description:

Link to custom download, from the Data Access Viewer (DAV), the raster Digital Elevation Model (DEM) data that were created from this lidar data set.

Data Quality

Horizontal Positional Accuracy:

Horizontal accuracy was not measured for this collection.

Vertical Positional Accuracy:

A mean offset of 32.3 cm was measured between 31 control points and the point cloud. This offset was reduced to 0 by performing a vertical transformation of the lidar point data. Thirty-six checkpoints were used to determine the vertical accuracy of the point cloud ground class, using a tin-based approach. The final accuracy was calculated to have a root mean square error (RMSE) of 34.8 cm. See accompanying report for more detail.

Completeness Report:

This data release is complete, and there is no over collect, except for the aircraft turns that were eliminated from the dataset.

Conceptual Consistency:

The data quality is consistent throughout the survey. The tests and processing methods used to ensure data consistency are further described in the accompanying report.

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

Lineage Statement:

The data were collected for the Alaska Division of Geological and Geophysical Surveys (DGGS) and made available on the AK DGGS Elevation Portal (https://elevation.alaska.gov/). The NOAA Office for Coastal Management (OCM) downloaded the data from this site to make the data available for custom downloads from the NOAA Digital Coast Data Access Viewer and for bulk downloads from the AWS S3 bucket.

Sources

Alaska Division of Geological and Geophysical Surveys (AK DGGS)

CC ID: 1194384
Contact Role Type: Originator
Contact Type: Organization
Contact Name: AK DGGS
Citation URL: https://elevation.alaska.gov/
Citation URL Name: AK DGGS Elevation Portal

Process Steps

Process Step 1

CC ID: 1194318
Description:

Airborne survey - DGGS operates a Riegl VUX1-LR laser scanner integrated with a GNSS and Northrop Grumman IMU system. The integration was designed by Phoenix LiDAR systems. The sensor is capable of collecting up to 820,000 points per second over a distance of 150 m. This survey was flown with a pulse refresh rate between 200,000 and 400,000 pulses per second at a scan rate between 80 and 150 lines per second. This survey was flown with an average elevation of 400 m above ground level and a ground speed of approximately 40 m/s, using a Bell 206 helicopter. The scan angle was set from 55 to 305 degrees. The total area surveyed was approximately 73 km2. The airborne survey was flown December 8-12, 2020, using a Bell 206 helicopter. The weather throughout the survey was sub-optimal, with strong winds, light precipitation, and low-hanging clouds.

Process Date/Time: 2020-12-12 00:00:00

Process Step 2

CC ID: 1194319
Description:

Ground survey - The DMLW collected 67 points using a Trimble R10 GNSS instrument. Of these points, 31 were used as control points, while 36 were used as checkpoints.

Process Date/Time: 2020-12-16 00:00:00

Process Step 3

CC ID: 1194320
Description:

Lidar dataset processing - Point data were processed in SDCimport software for initial filtering and multiple-time-around (MTA) disambiguation. MTA errors, corrected in this process, are the result of imprecise interpretations of received pulse time intervals and occur more frequently with higher pulse refresh rates. IMU and GPS data were used to integrate flightline information with the point cloud in Spatial Explorer software. The point data were calibrated at an incrementally precise scale of sensor movement and behavior, incorporating sensor velocity, roll, pitch, and yaw fluctuations throughout the survey. Points were classified in accordance with American Society for Photogrammetry and Remote Sensing (ASPRS) 2014 guidelines, using macros designed in Terrasolid software. Careful attention was given to the interpolation of the project's ground surface to compensate for inconsistent penetration through low vegetation as a function of the scan angle. Once classified, points underwent a geometric transformation and were converted from ellipsoidal heights to GEOID12B (Alaska) heights. Raster products were derived from the point cloud using ArcMap. The DTM was interpolated from all ground class returns using a tin-based method. The DSM was likewise interpolated from only the first returns for all classes. An intensity image was produced in ArcMap, using closest-to-mean binning.

Process Date/Time: 2020-01-01 00:00:00

Process Step 4

CC ID: 1194385
Description:

The NOAA Office for Coastal Management (OCM) downloaded 209 laz files from the Alaska Division of Geological and Geophysical Surveys Elevation Portal (https://elevation.alaska.gov/). The files contained classified elevation and intensity measurements for the 2020 Haines, Alaska project. The data were in UTM Zone 8 NAD83 (2011), meters coordinates and NAVD88 (GEOID12B) elevations in meters. During processing, OCM noted that there are some points classified as buildings, that don't appear to fall on buildings and also that 6 of the 209 laz files failed to process to the NOAA Digital Coast Data Access Viewer database. These files were:

pt000005.laz

pt000025.laz

pt000067.laz

pt000068.laz

pt000069.laz

pt000070.laz

The data had the following classifications: 1 - Unclassified, 2 - Ground, 3- Low Vegetation, 4 - Medium Vegetation, 5 - High Vegetation, 6 - Building, 7 - Noise. 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. Internal OCM scripts were run to check the number of points by classification and by flight ID and the gps and intensity ranges.

2. Internal OCM scripts were run on the laz files to convert from UTM Zone 8 NAD83 (2011), meters coordinates to geographic coordinates, to convert from NAVD88 elevations to ellipsoid elevations using the GEOID12B model, to filter out elevation values less than -50 meters, to assign the geokeys, to sort the data by gps time, zip the data to database, and to create Cloud Optimized Point Cloud (COPC) version laz files that are available from the AWS S3 bucket.

Process Date/Time: 2022-11-23 00:00:00
Process Contact: Office for Coastal Management (OCM)

Related Items

Item Type Relationship Type Title
Data Set (DS) Cross Reference 2020 AK DGGS Lidar DEM: Haines, Alaska

Catalog Details

Catalog Item ID: 68536
GUID: gov.noaa.nmfs.inport:68536
Metadata Record Created By: Rebecca Mataosky
Metadata Record Created: 2022-11-22 21:06+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2023-02-21 18:41+0000
Metadata Record Published: 2022-11-28
Owner Org: OCMP
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2022-11-28
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2023-11-28