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Summary

Browse Graphic

Short Citation
Office for Coastal Management, 2025: 2022 - 2023 NOAA USGS Lidar: Hawaii (Kahoolawe, Lanai, Maui, Molokai, Oahu), https://www.fisheries.noaa.gov/inport/item/75941.
Full Citation Examples

Abstract

Original Dataset Product: Processed, classified lidar point cloud data tiles in LAZ 1.4 format.

Original Dataset Geographic Extent:

HI_NOAAMauiOahu_1: The work unit covers approximately 446 square miles (260.7 square miles of Molokai, 140.7 square miles of Lanai, and 44.6 square miles of Kahoolawe in the state of Hawaii).

HI_NOAAMauiOahu_2: The work unit covers approximately 540.86 square miles of Maui and 496.61 square miles of Oahu in the state of Hawaii.

Original Dataset Description:

HI_NOAAMauiOahu_1 (Kahoolawe, Lanai, Molokai)

HI_NOAAMauiOahu_1_B20 lidar project called for the planning, acquisition, processing, and production of derivative products of QL1 lidar data to be collected an aggregate nominal pulse spacing (ANPS) of 0.35-meters and 8 points per square meter (ppsm). Project specifications were based on the National Geospatial Program Lidar Base Specification Version 2.1, and the American Society of Photogrammetry and Remote Sensing (ASPRS) Positional Accuracy Standards for Digital Geospatial Data (Edition 1, Version 1.0). The data was developed based on a horizontal reference system of NAD83 (PA11), UTM 4 (EPSG 6634), Meter, and a vertical reference system of NAVD88 (GEOID12B), Meter. Lidar data was delivered as processed LAZ 1.4 files formatted to 5,044 individual 500-meters x 500-meters tiles. Note: Between 2020 and 2023 multiple mobilizations were made to collect the data in the project area due to the extreme terrain and persistent low clouds. On March 31, 2023, it was decided between Woolpert and USGS to end the acquisition phase of the project and move onto processing with the data collected. The DPA and work unit has been clipped to the extent of the data collected. Areas of low point density and/or small data voids within the work unit have been identified with low confidence polygons.

HI_NOAAMauiOahu_2 (Maui, Oahu)

HI_NOAAMauiOahu_2_B20 lidar project called for the planning, acquisition, processing, and production of derivative products of QL1 lidar data to be collected an aggregate nominal pulse spacing (ANPS) of 0.35-meters and 8 points per square meter (ppsm). Project specifications were based on the National Geospatial Program Lidar Base Specification Version 2.1, and the American Society of Photogrammetry and Remote Sensing (ASPRS) Positional Accuracy Standards for Digital Geospatial Data (Edition 1, Version 1.0). The data was developed based on a horizontal reference system of NAD83 (PA11), UTM 4 (EPSG 6634), Meter, and a vertical reference system of NAVD88 (GEOID12B), Meter. Lidar data was delivered as processed LAZ 1.4 files formatted to 11,716 individual 500-meters x 500-meters tiles. Note: Between 2020 and 2023 multiple mobilizations were made to collect the data in the project area due to the extreme terrain and persistent low clouds. On March 31, 2023, it was decided between Woolpert and USGS to end the acquisition phase of the project and move onto processing with the data collected. The DPA and work unit has been clipped to the extent of the data collected. Areas of low point density and/or small data voids within the work unit have been identified with low confidence polygons.

Original Dataset Ground Conditions:

HI_NOAAMauiOahu_1 (Kahoolawe, Lanai, Molokai)

Lidar was collected from August 2, 2022, through July 9, 2023 while no snow was on the ground and rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Woolpert established ground control points that were used to calibrate the lidar to known ground locations established throughout the entire project area. An additional independent accuracy checkpoints were collected throughout the entire project area and used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

HI_NOAAMauiOahu_2 (Maui, Oahu)

Lidar was collected from January 11, 2023, through July 7, 2023 while rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Woolpert established ground control points that were used to calibrate the lidar to known ground locations established throughout the entire project area. An additional independent accuracy checkpoints were collected throughout the entire project area and used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

Purpose

This project will support USGS and the 3DEP mission, FEMA, and state and local agencies.

Distribution Information

  • Format: Not Applicable

    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, UTM Zone 4N NAD83 (PA2011) meters coordinates and elevations in GPS-derived orthometric height via GEOID model using GEOID12B meters.

Access Constraints:

None

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.

Acknowledgement of the U.S. Geological Survey would be appreciated for products derived from these data. Woolpert prepared the original data as set forth in the Scope of Services, in accordance with reasonable care and due diligence as set forth in this Agreement, however, due to the easily alterable nature of electronic media, files, documents, and other deliverables, Woolpert makes no warranties, either expressed or implied, with respect to the accuracy, completeness, merchantability, or fitness for any particular purpose, including, but not limited to, use of any/all data as described within this metadata file, by any user of this data. Any use will be at the end-user's sole risk.

Controlled Theme Keywords

COASTAL ELEVATION, elevation, TERRAIN ELEVATION

URLs

  • 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.

  • Link to the USGS Project Report that provides information about the project, vertical accuracy results, and the point classes and sensors used.

  • Link to the reports, breaklines, metadata, and spatial metadata.

  • Link to the lidar report.

  • Link to the lidar report.

  • Link to the reports, breaklines, metadata, and spatial metadata.

  • Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud.

  • Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud.

  • Link to view the point cloud (using the Entwine Point Tile (EPT) format) in the 3D Potree viewer.

  • Link to view the point cloud (using the Entwine Point Tile (EPT) format) in the 3D Potree viewer.

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

Geographic Area 1

-158.241757° W, -156.04943° E, 21.713592° N, 20.498885° S

Time Frame 1
2023-01-11 - 2023-07-07

Dates of collection for Maui and Oahu

Time Frame 2
2022-08-02 - 2023-07-09

Dates of collection for Kahoolawe, Lanai, and Molokai

Item Identification

Title: 2022 - 2023 NOAA USGS Lidar: Hawaii (Kahoolawe, Lanai, Maui, Molokai, Oahu)
Short Name: hi2022_kah_lanai_maui_molo_oahu_m10331_metadata
Status: Completed
Creation Date: 2022
Publication Date: 2025
Abstract:

Original Dataset Product: Processed, classified lidar point cloud data tiles in LAZ 1.4 format.

Original Dataset Geographic Extent:

HI_NOAAMauiOahu_1: The work unit covers approximately 446 square miles (260.7 square miles of Molokai, 140.7 square miles of Lanai, and 44.6 square miles of Kahoolawe in the state of Hawaii).

HI_NOAAMauiOahu_2: The work unit covers approximately 540.86 square miles of Maui and 496.61 square miles of Oahu in the state of Hawaii.

Original Dataset Description:

HI_NOAAMauiOahu_1 (Kahoolawe, Lanai, Molokai)

HI_NOAAMauiOahu_1_B20 lidar project called for the planning, acquisition, processing, and production of derivative products of QL1 lidar data to be collected an aggregate nominal pulse spacing (ANPS) of 0.35-meters and 8 points per square meter (ppsm). Project specifications were based on the National Geospatial Program Lidar Base Specification Version 2.1, and the American Society of Photogrammetry and Remote Sensing (ASPRS) Positional Accuracy Standards for Digital Geospatial Data (Edition 1, Version 1.0). The data was developed based on a horizontal reference system of NAD83 (PA11), UTM 4 (EPSG 6634), Meter, and a vertical reference system of NAVD88 (GEOID12B), Meter. Lidar data was delivered as processed LAZ 1.4 files formatted to 5,044 individual 500-meters x 500-meters tiles. Note: Between 2020 and 2023 multiple mobilizations were made to collect the data in the project area due to the extreme terrain and persistent low clouds. On March 31, 2023, it was decided between Woolpert and USGS to end the acquisition phase of the project and move onto processing with the data collected. The DPA and work unit has been clipped to the extent of the data collected. Areas of low point density and/or small data voids within the work unit have been identified with low confidence polygons.

HI_NOAAMauiOahu_2 (Maui, Oahu)

HI_NOAAMauiOahu_2_B20 lidar project called for the planning, acquisition, processing, and production of derivative products of QL1 lidar data to be collected an aggregate nominal pulse spacing (ANPS) of 0.35-meters and 8 points per square meter (ppsm). Project specifications were based on the National Geospatial Program Lidar Base Specification Version 2.1, and the American Society of Photogrammetry and Remote Sensing (ASPRS) Positional Accuracy Standards for Digital Geospatial Data (Edition 1, Version 1.0). The data was developed based on a horizontal reference system of NAD83 (PA11), UTM 4 (EPSG 6634), Meter, and a vertical reference system of NAVD88 (GEOID12B), Meter. Lidar data was delivered as processed LAZ 1.4 files formatted to 11,716 individual 500-meters x 500-meters tiles. Note: Between 2020 and 2023 multiple mobilizations were made to collect the data in the project area due to the extreme terrain and persistent low clouds. On March 31, 2023, it was decided between Woolpert and USGS to end the acquisition phase of the project and move onto processing with the data collected. The DPA and work unit has been clipped to the extent of the data collected. Areas of low point density and/or small data voids within the work unit have been identified with low confidence polygons.

Original Dataset Ground Conditions:

HI_NOAAMauiOahu_1 (Kahoolawe, Lanai, Molokai)

Lidar was collected from August 2, 2022, through July 9, 2023 while no snow was on the ground and rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Woolpert established ground control points that were used to calibrate the lidar to known ground locations established throughout the entire project area. An additional independent accuracy checkpoints were collected throughout the entire project area and used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

HI_NOAAMauiOahu_2 (Maui, Oahu)

Lidar was collected from January 11, 2023, through July 7, 2023 while rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Woolpert established ground control points that were used to calibrate the lidar to known ground locations established throughout the entire project area. An additional independent accuracy checkpoints were collected throughout the entire project area and used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

Purpose:

This project will support USGS and the 3DEP mission, FEMA, and state and local agencies.

Supplemental Information:

USGS Contract No. G16PC00022, Task Order No. 140G0220F0290, Project Name: HI_NOAAMauiOahu_B20. Contractor: Woolpert.

The following are the USGS lidar fields in JSON:

{

"ldrinfo" : {

"ldrspec" : National Geospatial Program Lidar Base Specification Version 2.1, and the American Society of Photogrammetry and Remote Sensing (ASPRS) Positional Accuracy Standards for Digital Geospatial Data (Edition 1, Version 1.0),

"ldrsens" : "RIEGL VQ-780 II-S",

"ldrmaxnr" : "14",

"ldrnps" : "0.35",

"ldrdens" : "8",

"ldranps" : "0.35",

"ldradens" : "8",

"ldrfltht" : "1600",

"ldrfltsp" : "160",

"ldrscana" : "30",

"ldrscanr" : "Variable",

"ldrpulsr" : "2000",

"ldrpulsd" : "3",

"ldrpulsw" : "0.0064",

"ldrwavel" : "1064",

"ldrmpia" : "1",

"ldrbmdiv" : "0.2",

"ldrswatw" : "1600 - 1800",

"ldrswato" : "40",

"ldrgeoid" : "GEOID12B"

},

"ldrinfo" : {

"ldrspec" : " National Geospatial Program Lidar Base Specification Version 2.1, and the American Society of Photogrammetry and Remote Sensing (ASPRS) Positional Accuracy Standards for Digital Geospatial Data (Edition 1, Version 1.0)",

"ldrsens" : "Optech Galaxy Prime",

"ldrmaxnr" : "8",

"ldrnps" : "0.35",

"ldrdens" : "8",

"ldranps" : "0.35",

"ldradens" : "8",

"ldrfltht" : "750",

"ldrfltsp" : "90",

"ldrscana" : "40",

"ldrscanr" : "50",

"ldrpulsr" : "300",

"ldrpulsd" : "3.3",

"ldrpulsw" : "1",

"ldrwavel" : "1064.5",

"ldrmpia" : "1",

"ldrbmdiv" : "0.25",

"ldrswatw" : "545",

"ldrswato" : "30",

"ldrgeoid" : "GEOID12B"

},

"ldraccur" : {

"ldrchacc" : "0",

"rawnva" : "0",

"rawnvan" : "0",

"clsnva" : "0",

"clsnvan" : "0",

"clsvva" : "0",

"clsvvan" : "0"

},

"lasinfo" : {

"lasver" : "1.4",

"lasprf" : "6",

"laswheld" : "Geometrically unreliable points were identified using a combination of automated and manual techniques and subsequently classified as high or low noise and given the standard Withheld bit.",

"lasolap" : "The overlap bit flag is not to be used for lidar point clouds intended for inclusion in 3DEP data holdings.",

"lasintr" : "16",

"lasclass" : {

"clascode" : "1",

"clasitem" : "Processed but not classified"

},

"lasclass" : {

"clascode" : "2",

"clasitem" : "Bare earth ground"

},

"lasclass" : {

"clascode" : "7",

"clasitem" : "Low Noise"

},

"lasclass" : {

"clascode" : "9",

"clasitem" : "Water"

},

"lasclass" : {

"clascode" : "17",

"clasitem" : "Bridge decks"

},

"lasclass" : {

"clascode" : "18",

"clasitem" : "High noise"

},

"lasclass" : {

"clascode" : "20",

"clasitem" : "Ignored ground"

}

}}

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 > HAWAII
Global Change Master Directory (GCMD) Location Keywords
OCEAN > PACIFIC OCEAN > CENTRAL PACIFIC OCEAN > HAWAIIAN ISLANDS > KAHOOLAWE
Global Change Master Directory (GCMD) Location Keywords
OCEAN > PACIFIC OCEAN > CENTRAL PACIFIC OCEAN > HAWAIIAN ISLANDS > LANAI
Global Change Master Directory (GCMD) Location Keywords
OCEAN > PACIFIC OCEAN > CENTRAL PACIFIC OCEAN > HAWAIIAN ISLANDS > MAUI
Global Change Master Directory (GCMD) Location Keywords
OCEAN > PACIFIC OCEAN > CENTRAL PACIFIC OCEAN > HAWAIIAN ISLANDS > MOLOKAI
Global Change Master Directory (GCMD) Location Keywords
OCEAN > PACIFIC OCEAN > CENTRAL PACIFIC OCEAN > HAWAIIAN ISLANDS > OAHU
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: Model (digital)
Distribution Liability:

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: Woolpert, NOAA, USGS

Support Roles

Data Steward

CC ID: 1389803
Date Effective From: 2025
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: 1389802
Date Effective From: 2025
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: 1389804
Date Effective From: 2025
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: 1389805
Date Effective From: 2025
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: 1389808
W° Bound: -158.241757
E° Bound: -156.04943
N° Bound: 21.713592
S° Bound: 20.498885

Extent Group 1 / Time Frame 1

CC ID: 1389829
Time Frame Type: Range
Start: 2023-01-11
End: 2023-07-07
Description:

Dates of collection for Maui and Oahu

Extent Group 1 / Time Frame 2

CC ID: 1389807
Time Frame Type: Range
Start: 2022-08-02
End: 2023-07-09
Description:

Dates of collection for Kahoolawe, Lanai, and Molokai

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: 1389798

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.

Acknowledgement of the U.S. Geological Survey would be appreciated for products derived from these data. Woolpert prepared the original data as set forth in the Scope of Services, in accordance with reasonable care and due diligence as set forth in this Agreement, however, due to the easily alterable nature of electronic media, files, documents, and other deliverables, Woolpert makes no warranties, either expressed or implied, with respect to the accuracy, completeness, merchantability, or fitness for any particular purpose, including, but not limited to, use of any/all data as described within this metadata file, by any user of this data. Any use will be at the end-user's sole risk.

Distribution Information

Distribution 1

CC ID: 1389809
Start Date: 2025-05-15
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=10331/details/10331
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2025 - 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.

Distribution Format: Not Applicable
Compression: Zip

Distribution 2

CC ID: 1389810
Start Date: 2025-05-15
End Date: Present
Download URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/10331/index.html
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2025 - Present)
File Name: Bulk Download
Description:

Bulk download of data files in LAZ format, UTM Zone 4N NAD83 (PA2011) meters coordinates and elevations in GPS-derived orthometric height via GEOID model using GEOID12B meters.

Distribution Format: LAS/LAZ - LASer
Compression: LAZ

URLs

URL 1

CC ID: 1389800
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: 1390563
URL: https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/HI_NOAAMauiOahu_2020_B20/USGS_HI_NOAAMauiOahu_2020_B20_Project_Report.pdf
Name: USGS Project Report
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the USGS Project Report that provides information about the project, vertical accuracy results, and the point classes and sensors used.

URL 3

CC ID: 1390564
URL: https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/metadata/HI_NOAAMauiOahu_2020_B20/HI_NOAAMauiOahu_1_B20/
Name: USGS Additional Info - HI_NOAAMauiOahu1
URL Type:
Online Resource
Description:

Link to the reports, breaklines, metadata, and spatial metadata.

URL 4

CC ID: 1390565
URL: https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/HI_NOAAMauiOahu_2020_B20/HI_NOAAMauiOahu_1_B20/reports/lidar_mapping_report/HI_NOAAMauiOahu_1_B20_Lidar_Mapping_Report.pdf
Name: Lidar Report - HI_NOAAMauiOahu1
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the lidar report.

URL 5

CC ID: 1390566
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/10331/supplemental/HI_NOAAMauiOahu_2_B20_Lidar_Mapping_Report.pdf
Name: Lidar Report - HI_NOAAMauiOahu2
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the lidar report.

URL 6

CC ID: 1390567
URL: https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/metadata/HI_NOAAMauiOahu_2020_B20/HI_NOAAMauiOahu_2_B20/
Name: USGS Additional Info - HI_NOAAMauiOahu2
URL Type:
Online Resource
Description:

Link to the reports, breaklines, metadata, and spatial metadata.

URL 7

CC ID: 1390568
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/10331/supplemental/hi2022_kah_lanai_maui_molo_oahu_m10331.kmz
Name: Browse Graphic
URL Type:
Browse Graphic
File Resource Format: kmz
Description:

This graphic displays the footprint for this lidar data set.

URL 8

CC ID: 1390570
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/HI_NOAAMauiOahu_1_B20/ept.json
Name: Entwine Point Tile (EPT) - HI_NOAAMauiOahu_1
URL Type:
Online Resource
File Resource Format: json
Description:

Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud.

URL 9

CC ID: 1390571
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/HI_NOAAMauiOahu_2_B20/ept.json
Name: Entwine Point Tile (EPT) - HI_NOAAMauiOahu_2
URL Type:
Online Resource
File Resource Format: json
Description:

Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud.

URL 10

CC ID: 1390572
URL: https://usgs.entwine.io/data/view.html?r=%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/HI_NOAAMauiOahu_1_B20%22
Name: USGS 3D View - HI_NOAAMauiOahu_1
URL Type:
Online Resource
Description:

Link to view the point cloud (using the Entwine Point Tile (EPT) format) in the 3D Potree viewer.

URL 11

CC ID: 1390573
URL: https://usgs.entwine.io/data/view.html?r=%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/HI_NOAAMauiOahu_2_B20%22
Name: USGS 3D View - HI_NOAAMauiOahu_2
URL Type:
Online Resource
Description:

Link to view the point cloud (using the Entwine Point Tile (EPT) format) in the 3D Potree viewer.

Technical Environment

Description:

Microsoft Windows 10, ArcMap 10.7, ArcCatalog 10.7, TerraScan ver. 23, TerraModeler ver. 23, LP360, LAStools.

Data Quality

Horizontal Positional Accuracy:

This data set was produced to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 0.11 m RMSEx / RMSEy Horizontal Accuracy Class which equates to Positional Horizontal Accuracy = +/- 0.29 m at a 95% confidence level.

Vertical Positional Accuracy:

This data set was produced to meet ASPRS Positional Accuracy Standard for Digital Geospatial Data (2014) for a 10-cm RMSEz Vertical Accuracy Class.

USGS Determined Vertical Accuracy

NVA = 7.07 cm RMSE

VVA = 28.49 cm at 95th percentile

For more information see the USGS project report and the lidar reports. The links to these reports are provided in the URL section of this metadata record.

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.

Conceptual Consistency:

Data covers 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-NC
How Will the Data Be Protected from Accidental or Malicious Modification or Deletion Prior to Receipt by the Archive?:

Data is backed up to cloud storage.

Lineage

Lineage Statement:

This data was collected for NOAA and the USGS by Woolpert. The NOAA Office for Coastal Management (OCM) received a copy of the data from Woolpert and processed the data to make it available for custom download from the NOAA Digital Coast Data Access Viewer and for bulk download from AWS S3.

Sources

LAZ Files

CC ID: 1390110
Contact Role Type: Originator
Contact Type: Organization
Contact Name: NOAA/USGS/Woolpert

Process Steps

Process Step 1

CC ID: 1389792
Description:

After acquisition QC was complete, a formal reduction process was performed. Boresight calibrations (omega, phi, kappa) are performed, and a block adjustment is made to ensure relative accuracy. The laser point position was then calculated by associating the SBET position to each laser point return time, scan angle, intensity, etc. Raw laser point cloud data was created for the whole project area in LAS format with each point containing the corresponding scan angle, return number (echo), intensity, and x, y, and z information. Automated line-to-line calibrations were then performed for system attitude parameters (pitch, roll, heading), mirror flex (scale) and GPS/IMU drift to test the relative calibration. Calibrations were performed on ground classified points from paired flight lines. Every flight line was used for relative accuracy calibration. Statistical reports were generated for comparison and used to make the necessary adjustments to remove any residual systematic error.

Process Date/Time: 2024-07-26 00:00:00

Process Step 2

CC ID: 1389793
Description:

Lidar Point Cloud Classification: The point cloud underwent a classification process to determine bare-earth points and non-ground points utilizing "first and only" as well as "last of many" lidar returns. This process determined Processed, but Unclassified (Class 1), Bare Earth Ground (Class 2), Low Noise (Class 7), Water (Class 9), Bridge Decks (Class 17), High Noise (Class 18), and Ignored Ground (Class 20). The bare-earth (Class 2 - Ground) lidar points underwent a manual QA/QC step to verify the quality of the DEM as well as a peer-based QC review. This included a review of the DEM surface to remove artifacts and ensure topographic quality. After the bare-earth surface is finalized, it is then used to generate all hydro-breaklines through a semi-automated process. All ground (Class 2) lidar data inside of the Lake Pond and Double Line Drain hydro flattening breaklines were then classified to water (Class 9) using TerraScan/LP360 macro functionality. A buffer of 0.35 meters was also used around each hydro-flattened feature to classify these ground (Class 2) points to Ignored Ground (Class 20). All Lake Pond Island and Double Line Drain Island features were checked to ensure that the ground (Class 2) points were reclassified to the correct classification after the automated classification was completed. All data was 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. Woolpert proprietary software and LP360 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: 2024-07-26 00:00:00

Process Step 3

CC ID: 1389794
Description:

During the initial quality check, the lidar data was processed immediately following acquisition to verify the coverage has appropriate density, distribution, and no unacceptable data voids. The spatial distribution of the geometrically usable first return lidar points was reviewed for density by verifying the points spaced so that 90% of the cells in a 2*NPS grid placed over the data contain at least one lidar point. The Nominal Point Spacing (NPS) assessment was conducted against single swath, first return data located within the geometrically usable center portion (typically ~90%) of each swath. The data coverage was reviewed for unacceptable data voids to determine no area greater than or equal to (4 x ANPS)² exhibited data coverage gaps.

Process Date/Time: 2024-07-26 00:00:00

Process Step 4

CC ID: 1389795
Description:

Maximum Surface Height Rasters (MSHR) is a proof of performance check that the withheld bit flag was used properly in the point cloud. Using all returns in the point cloud and excluding any points flagged as withheld, a raster is generated at twice the pixel size as the DEM deliverable using the same delivery tile index. This raster is generated as a 32-bit floating-point GeoTIFF with each pixel being generated as highest-hit elevation. The raster is then visually reviewed for anomalies that might indicate improperly classified noise. Any issues encountered are then corrected in the point cloud and a new/updated raster is generated. 5,044 files were produced and clipped to the DPA. The GSD for the surface is 1 meter, which is two times the DEM cell size.

Process Date/Time: 2024-07-26 00:00:00

Process Step 5

CC ID: 1389796
Description:

The Swath Separation Imagery (SSI) was generated to visualize the DZ between the overlapping areas of the flight lines. To generate this surface a point insertion method was applied as the primary algorithm. Last returns were used, and points flagged as withheld or classified as noise were excluded. A GeoTIFF was generated, and the color ramp is based on a QL1 data product. The GSD for the raster is 1 meter, which is two times the DEM post spacing. Intensity values were modulated to 50% to ensure that there is no oversaturation of intensities values throughout the surface. After all calculations and surfaces were made, 5,044 files were produced and clipped to the data extent. The color ramp for the swath separation image is as follows: Less than 8-cm: Green, 8 to 16-cm: Yellow, 16-24-cm: Orange, Greater than 24-cm: Red.

Process Date/Time: 2024-07-26 00:00:00

Process Step 6

CC ID: 1390113
Description:

The laz files were received by the NOAA Office for Coastal Management (OCM). The files were in laz format, UTM Zone 4N (NAD83 PA11), meters coordinates and in NAVD88 (GEOID12B), meters elevations. The data were classified as: 1 - Unclassified, 2 - Ground, 7 - Low Noise, 9 - Water, 17 - Bridge Decks, 18 - High Noise, 20 - Ignored Ground. OCM processed all classifications of points to the Digital Coast Data Access Viewer (DAV), the classes available on the DAV are: 1, 2, 9, 17, 20. (Class 7 and 18 points were removed because the withheld bit flag was set).

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, elevation, and intensity ranges.

2. Internal OCM scripts were run on the laz files to:

a. Convert from orthometric (NAVD88) elevations to NAD83 (2011) ellipsoid elevations using the GEOID12B model

b. Convert the laz files from UTM Zone 4N (NAD83 PA11), meters coordinates to geographic coordinates

c. Remove Class 7 and 18 points because the withheld bit flag was set.

d. Assign the geokeys, sort the data by gps time and zip the data to database and to S3 AWS.

Process Date/Time: 2025-05-16 00:00:00
Process Contact: Office for Coastal Management (OCM)

Related Items

Item Type Relationship Type Title
Data Set (DS) Cross Reference 2022 - 2023 NOAA USGS Lidar DEM: HI (Kahoolawe, Lanai, Maui, Molokai, Oahu)
Data Set (DS) Cross Reference 2023 NOAA USGS Lidar DEM: Hawaii (Big Island)
Data Set (DS) Cross Reference 2023 NOAA USGS Lidar: Hawaii (Big Island)

Catalog Details

Catalog Item ID: 75941
GUID: gov.noaa.nmfs.inport:75941
Metadata Record Created By: Rebecca Mataosky
Metadata Record Created: 2025-05-15 17:30+0000
Metadata Record Last Modified By: Rebecca Mataosky
Metadata Record Last Modified: 2025-05-23 12:54+0000
Metadata Record Published: 2025-05-21
Owner Org: OCM
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2025-05-21
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2026-05-21