Slide Menu
Search Help Show/Hide Menu
Short Citation:
Office for Coastal Management, 2023: 2018 - 2020 NOAA USGS Lidar: Hawaii, HI,

Item Identification

Title: 2018 - 2020 NOAA USGS Lidar: Hawaii, HI
Short Name: 2018 big island lidar m9635
Status: Completed
Publication Date: 2020-12-29

Product: Processed, classified lidar point cloud data tiles in LAS 1.4 format.

Geographic Extent: Approximately 4,028 square miles encompassing the Big Island of Hawaii.

Dataset Description: The HI Hawaii Island Lidar NOAA 2017 B17 lidar project called for the planning, acquisition, processing, and production of derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meters. Project specifications were based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification 2020 Revision A. The data was developed based on a horizontal datum/projection of NAD83 (PA11) UTM Zone 5N Meters (EPSG 6635) and a vertical datum of NAVD88 (GEOID12B) Meters. Lidar data was delivered as processed LAS 1.4 files formatted to 8,629 individual 1,000-meter x 1,000-meter tiles.

Ground Conditions: Lidar was collected from January 30, 2018 through January 6, 2020 by Leica Geosystems, Inc. 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 70 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. Additional independent accuracy checkpoints were collected by NOAA and used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

This dataset has been noted to have issues with ground classification in areas of dense vegetation. Please read the data use constraints section for further details.


This data is intended for use in coastal management decision making, including applications such as support for local hydrologists and watershed managers in their decision-making processes and for formulating a sediment budget and identifying soil erosion hotspots.

Supplemental Information:

USGS Contract No. G16PC00022, NOAA Contract No. EA133C33CQ0010. USGS Task Order No. G17PD01353. NOAA Task Order No. T-0040. CONTRACTOR: Woolpert. Sub-contractor: Leica Geosystems, Inc.

This work was funded by: NOAA Office for Coastal Management, FEMA Region 9, FEMA HQ, USDA NRCS, County of Hawaii, USGS HVO, and USGS 3DEP

The following are the USGS lidar fields in JSON:


"ldrinfo" : {

"ldrspec" : "USGS NGP Base Specifications v1.2",

"ldrsens" : "Leica SPL 100",

"ldrmaxnr" : "2000",

"ldrnps" : "0.35",

"ldrdens" : "8",

"ldranps" : "0.35",

"ldradens" : "8",

"ldrfltht" : "3200-4420",

"ldrfltsp" : "180",

"ldrscana" : "30",

"ldrscanr" : "21.0",

"ldrpulsr" : "50.0",

"ldrpulsd" : "0.5",

"ldrpulsw" : "0.149",

"ldrwavel" : "532",

"ldrmpia" : "0",

"ldrbmdiv" : "0.08",

"ldrswatw" : "2000",

"ldrswato" : "20",

"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" : "Swath "overage" points were identified in these files using the standard LAS overlap bit.",

"lasintr" : "16",

"lasclass" : {

"clascode" : "1",

"clasitem" : "Processed but not classified"


"lasclass" : {

"clascode" : "2",

"clasitem" : "Bare earth ground"


"lasclass" : {

"clascode" : "5",

"clasitem" : "Vegetation"


"lasclass" : {

"clascode" : "7",

"clasitem" : "Noise"


"lasclass" : {

"clascode" : "9",

"clasitem" : "Water"


"lasclass" : {

"clascode" : "10",

"clasitem" : "Ignored ground"


"lasclass" : {

"clascode" : "17",

"clasitem" : "Bridge Decks"


"lasclass" : {

"clascode" : "18",

"clasitem" : "High Noise"




Theme Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Science Keywords
Global Change Master Directory (GCMD) Science Keywords
ISO 19115 Topic Category

Spatial Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Location Keywords
Global Change Master Directory (GCMD) Location Keywords
Global Change Master Directory (GCMD) Location Keywords
None Hawaii County

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: NOAA, USGS, Woolpert

Support Roles

Data Steward

CC ID: 1187935
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:
Phone: (843) 740-1202


CC ID: 1187934
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:
Phone: (843) 740-1202

Metadata Contact

CC ID: 1187936
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:
Phone: (843) 740-1202

Point of Contact

CC ID: 1187937
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:
Phone: (843) 740-1202


Currentness Reference: Ground Condition

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 1187940
W° Bound: -156.073778
E° Bound: -155.057848
N° Bound: 20.280495
S° Bound: 18.903687

Extent Group 1 / Time Frame 1

CC ID: 1187939
Time Frame Type: Range
Start: 2018-01-30
End: 2020-01-06

Spatial Information

Spatial Resolution

Horizontal Distance: 0.35 Meter

Spatial Representation

Representations Used

Grid: No
Vector: Yes
Text / Table: No
Stereo Model: No
Video: No

Vector Representation 1

CC ID: 1187954
Point Object Present?: Yes
Point Object Count: 112953918556

Reference Systems

Reference System 1

CC ID: 1187955

Coordinate Reference System

CRS Type: Geographic 3D
EPSG Code: EPSG:6321
EPSG Name: NAD83(PA11)
See Full Coordinate Reference System Information

Access Information

Security Class: Unclassified
Data Access Procedure:

Data is available online for bulk or custom downloads

Data Access Constraints:


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.

Areas of dense vegetation will have fewer points that reach the ground. In some areas, this may be enough to inhibit ground classification of the points. If those areas are near cliffs, it is possible for elevation models derived from these points to imply false cliff conditions. There are areas of this dataset where these conditions have been noted. Care should be taken to note voids in ground classifications and interpret any derived products appropriately.

Distribution Information

Distribution 1

CC ID: 1187941
Start Date: 2022-10-25
End Date: Present
Download URL:
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2022 - Present)
File Name: Customized Download

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: 1187942
Start Date: 2022-10-25
End Date: Present
Download URL:
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2022 - Present)
File Name: Bulk Download

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
Compression: Zip



CC ID: 1187931
Name: NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV)
URL Type:
Online Resource
File Resource Format: HTML

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.


CC ID: 1187932
Name: Browse graphic
URL Type:
Browse Graphic
File Resource Format: KML

This graphic displays the footprint for this lidar data set.


CC ID: 1188021
Name: Contractor Report
URL Type:
Online Resource
File Resource Format: pdf

Project report by the contractor. Describes the project and data prior to any NOAA changes.


CC ID: 1188022
Name: low confidence areas
URL Type:
Online Resource
File Resource Format: zip

Geospatial features indicating where there is low confidence in the ground values.


Issue 1

CC ID: 1187960
Issue Date: 2022-10-25
Author: Waters, Kirk

Full list of contributors still needs to be added.

Technical Environment


Microsoft Windows 10 Version 1607 (Build 14393.2189); ArcMap 10.7; ArcCatalog 10.7; TerraScan ver. 20; TerraModeler ver. 20; Geocue 2018.2.59.5.

Data Quality

Vertical Positional Accuracy:

NOAA collected independent checkpoints located in non-vegetated and vegetated land cover classes in order to perform independent vertical accuracy testing on the lidar point cloud swath and DEM data. Preliminary quantitative value: 0.11 meters RMSE in non-vegetated areas, 0.50 m in vegetated areas. These figures were calculated by Woolpert using the NOAA checkpoints.

USGS Determined Vertical Accuracy:

Non-Vegetated Vertical Accuracy (NVA) = 21.09 cm at 95% Confidence Level or 10.65 cm RMSE

Vegetated Vertical Accuracy (VVA) = 90.91 cm at the 95th Percentile

Completeness Report:

A visual qualitative assessment was performed to ensure data completeness.

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-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 cloud storage.



classified lidar data

CC ID: 1187958
Contact Role Type: Originator
Contact Type: Organization
Contact Name: Woolpert
Publish Date: 2022-10-14

Process Steps

Process Step 1

CC ID: 1187927

Lidar Point Cloud Classification: The Single Photon Lidar (SPL) data acquisition was acquired at a density greater than the task order specified density of QL1 or 8 points per square meter. USGS and NOAA agreed the density of the data should be reduced to provide a more manageable data set. The data was decimated to provide a density not less than 8 points per square meter, however due to significant overlap of acquisition flight lines in some areas of the project, the density in some cases exceeds 8 points per square meter. The Single Photon Lidar (SPL) data acquisition occurred between multiple acquisition seasons creating significant data overlap between seasons. To reduce excessive density, the data was processed to eliminate excess overlap in these areas. 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), Vegetation (Class 5), Low Noise (Class 7), Water (Class 9), Ignored Ground (Class 10), Bridge Decks (Class 17), and High Noise (Class 18). 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.

Process Date/Time: 2020-12-29 00:00:00

Process Step 2

CC ID: 1187956

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 0.7 meters was also used around each hydro-flattened feature to classify these ground (Class 2) points to Ignored ground (Class 10). 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. These classes were created through automated processes only and were not verified for classification accuracy. Due to software limitations within TerraScan, these classes were used to trip the withheld bit within various software packages. These processes were reviewed and accepted by USGS through numerous conference calls and pilot study areas.

Process Date/Time: 2020-12-29 00:00:00

Process Step 3

CC ID: 1187957

The single photon lidar data acquisition for this award occurred across two separate deployments. The approximate date range of the first acquisition window was from January 2018 to March 2018 and second window was from November 2019 to January 2020. Given the complexity of the terrain, the flight plan for the project included significant overlapping and off-angle lines between the 2018 and 2019/2020 collection which can create more opportunity to notice differences than is normally seen in a lidar collection where lines tend to follow a single direction and acquisition across years is cut into more complete blocks. For each acquisition season, the acquired data was processed and geometrically calibrated by Woolpert's teaming and data acquisition partner Hexagon. During the calibration, the data was processed to meet the required accuracy specifications per each mission as well as between adjacent missions of the differing flight dates within a given acquisition season. Once the calibration was complete and the data entered full processing, Woolpert made the best efforts to populate delivery tiles containing flights from different acquisition seasons with data acquired from a single season. In these tiles preference was given to the points acquired during the 2018 season because of the significant data processing had occurred within these tiles prior to the second acquisition season. In some areas pieces of lines from the different acquisitions created the edge artifacts. Low confidence polygons were generated around these areas to make the user aware of the discrepancy. 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: 2020-12-29 00:00:00

Process Step 4

CC ID: 1187959

NOAA Office for Coastal Management received the classified point cloud data from Woolpert in Orthometric (Geoid12b) NAD83(PA11) UTM zone 5 coordinates with units of meters. An examination of the histograms of height by class indicated that some issues with low points. The withheld points were removed as being geometrically unreliable. In addition, all points below -30 meters were reclassed to low noise (class 7).

Data were converted to geographic coordinates in ellipsoid heights for use in the Data Access Viewer.

Process Date/Time: 2022-10-18 00:00:00
Process Contact: NOAA Office for Coastal Management (NOAA/OCM)
Phone (Voice): (843) 740-1202
Email Address:
Source: classified lidar data

Process Step 5

CC ID: 1227172

The point clouds for two tiles (5QKB800850.laz and 5QKB810850.laz) were re-examined to find ground points near the cliffs. The lack of ground points identified near the edge caused issues in DEM generation as the TIN process was cutting off the cliffs. This work was done by the original lidar contractor, Woolpert. The original tiles were replaced with the new tiles.

Process Date/Time: 2023-04-14 00:00:00
Process Contact: NOAA Office for Coastal Management (NOAA/OCM)
Phone (Voice): (843) 740-1202
Email Address:

Related Items

Item Type Relationship Type Title
Data Set (DS) Cross Reference 2018-2020 HI Hawaii Island Lidar Hydro-Flattened Bare-Earth DEM

Digital Elevation Model derived from this point cloud

Catalog Details

Catalog Item ID: 68082
GUID: gov.noaa.nmfs.inport:68082
Metadata Record Created By: Kirk Waters
Metadata Record Created: 2022-10-25 13:10+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2023-08-15 17:09+0000
Metadata Record Published: 2022-10-28
Owner Org: OCM
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2022-10-25
Metadata Review Frequency: 2 Years
Metadata Next Review Date: 2024-10-25