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Short Citation:
OCM Partners, 2022: 2013 USACE NCMP Topobathy Lidar: Maui (HI) - LMSL, https://www.fisheries.noaa.gov/inport/item/49750.

Item Identification

Title: 2013 USACE NCMP Topobathy Lidar: Maui (HI) - LMSL
Short Name: hi2013_usace_ncmp_maui_lmsl_m5032_metadata
Status: Completed
Publication Date: 2016-04-13
Abstract:

These files contain classified topo/bathy lidar data. Data are classified as 1 (valid non-ground topographic data), 2 (valid ground topographic data), and 29 (valid bathymetric data). Classes 1 and 2 are defined in accordance with the American Society for Photogrammetry and Remote Sensing (ASPRS) classification standards. These data were collected by the Coastal Zone Mapping and Imaging Lidar (CZMIL) system. CZMIL integrates a lidar sensor with simultaneous topographic and bathymetric capabilities, a digital camera and a hyperspectral imager on a single remote sensing platform for use in coastal mapping and charting activities. Native lidar data is not generally in a format accessible to most Geographic Information Systems (GIS). Specialized in-house and commercial software packages are used to process the native lidar data into 3-dimensional positions that can be imported into GIS software for visualization and further analysis.

Horizontal positions, provided in decimal degrees of latitude and longitude, are referenced to the North American Datum of 1983 National Adjustment of 2011 (NAD83 PA11). Once converted to orthometric heights, the data are then adjusted to the Local Mean Sea Level (LMSL).

The 3-D position data are sub-divided into a series of LAS files, which are tiled into quarter-quads or 5km boxes. In addition to the lidar point data, Digital Elevation Models (DEMs), created from the lidar point data are also available. DEMs were created from all classes of points (1, 2, 29) at a 1 meter grid size and bare earth DEMs were created from the ground and bathymetric data classes (2, 29) at a 1 meter grid size. These products have not been reviewed by the NOAA Office for Coastal Management (OCM) and any conclusions drawn from the analysis of this information are not the responsibility of NOAA or OCM. The data are available upon request via email at: coastal.info@noaa.gov.

Purpose:

These data were collected as a part of the NCMP to depict the elevations above and below the water in the Hawaii coastal zone.

Notes:

10394

Supplemental Information:

A footprint of this data set may be viewed in Google Earth at:

https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/msl/5032/supplemental/hi2013_usace_ncmp_maui_lmsl_m5032.kmz

Keywords

Theme Keywords

Thesaurus Keyword
ISO 19115 Topic Category
elevation
UNCONTROLLED
CoRIS Discovery Thesaurus lidar
CoRIS Theme Thesaurus EARTH SCIENCE > Land Surface > Topography> Terrain Elevation
CoRIS Theme Thesaurus EARTH SCIENCE > Oceans > Bathymetry/Seafloor Topography > Bathymetry
NOAA NOS Harvest Catalog CoRIS
None IWG-OCM
None National Coastal Mapping Program (NCMP)
None U.S. Army Corps of Engineers (USACE)

Temporal Keywords

Thesaurus Keyword
UNCONTROLLED
None 2013
None December
None November

Spatial Keywords

Thesaurus Keyword
UNCONTROLLED
CoRIS Place Thesaurus COUNTRY/TERRITORY > United States of America > Hawaii > Maui > Maui Island (20N156W0004)
CoRIS Place Thesaurus OCEAN BASIN > Pacific Ocean > Central Pacific Ocean > Hawaiian Islands > Maui Island > Maui Island (20N156W0004)

Physical Location

Organization: Office for Coastal Management
City: Charleston
State/Province: SC

Data Set Information

Data Set Scope Code: Data Set
Maintenance Frequency: As Needed
Entity Attribute Overview:

LAS 1.2 format (classes 1,2,29)

Entity Attribute Detail Citation:

none

Distribution Liability:

Any conclusions drawn from the analysis of this information are not the responsibility of JALBTCX, the Office for Coastal Management or its partners.

Data Set Credit: Acknowledgement of the Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX) would be appreciated in any publications or derived products.

Support Roles

Data Steward

CC ID: 675436
Date Effective From: 2016-04-13
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: 675438
Date Effective From: 2016-04-13
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: 675439
Date Effective From: 2016-04-13
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: 675437
Date Effective From: 2016-04-13
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: 1137836
W° Bound: -156.71357
E° Bound: -155.96802
N° Bound: 21.037816
S° Bound: 20.563794

Extent Group 1 / Time Frame 1

CC ID: 1137835
Time Frame Type: Range
Start: 2013-10-15
End: 2013-11-16

Spatial Information

Spatial Representation

Representations Used

Vector: Yes

Access Information

Security Class: Unclassified
Data Access Procedure:

This data can be obtained on-line at the following URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=5032;

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: 741128
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=5032
Distributor:
File Name: Customized Download
Description:

Create custom data files by choosing data area, product type, map projection, file format, datum, etc.

Distribution 2

CC ID: 741129
Download URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/msl/5032/index.html
Distributor:
File Name: Bulk Download
Description:

Simple download of data files.

URLs

URL 1

CC ID: 741131
URL: https://coast.noaa.gov/dataviewer
URL Type:
Online Resource

URL 2

CC ID: 741132
URL: https://coast.noaa.gov
URL Type:
Online Resource

URL 3

CC ID: 741133
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/msl/5032/supplemental/hi2013_usace_ncmp_maui_lmsl_m5032.kmz
Name: Browse Graphic
URL Type:
Browse Graphic
File Resource Format: kmz
Description:

This graphic shows the lidar coverage for the 2013 JALBTCX topobathy project along the shores of Maui.

Activity Log

Activity Log 1

CC ID: 675469
Activity Date/Time: 2016-09-12
Description:

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 675468
Activity Date/Time: 2017-11-14
Description:

Converted from FGDC Content Standards for Digital Geospatial Metadata (version FGDC-STD-001-1998) using 'fgdc_to_inport_xml.pl' script. Contact Tyler Christensen (NOS) for details.

Activity Log 3

CC ID: 718310
Activity Date/Time: 2018-02-08
Description:

Partial upload of Positional Accuracy fields only.

Activity Log 4

CC ID: 741130
Activity Date/Time: 2018-03-13
Description:

Partial upload to move data access links to Distribution Info.

Data Quality

Accuracy:

These data are not attributed. | Quantitative Value: N/A | Quantitative Test Explanation: These data are not attributed.

Horizontal Positional Accuracy:

Topo data - Compiled to meet 1 m @ 95% confidence level. Bathy data - compiled to meet 3.5 + 0.05*d m @ 95% confidence level (d is depth).

Vertical Positional Accuracy:

Topo data - 19.6 cm @ 95% confidence level (10 cm RMSE). Bathy shallow FOV data - SQRT((0.25^2)+((0.0075d)^2)) m at @ 95% confidence level. Bathy deep FOV data - SQRT((0.30^2)+((0.013d)^2)) m @ 95% confidence level (d is depth).

Completeness Report:

This data set covers the spatial extent of topographic lidar data obtained during this survey.

Conceptual Consistency:

During inspection and QC of the lidar point cloud, flightline to flightline elevation differences met the CZMIL sensor specifications.

Lineage

Process Steps

Process Step 1

CC ID: 1137831
Description:

These data were collected using the CZMIL system. It is owned and operated by the U.S. Army Corps of Engineers (USACE). The system collects topobathy lidar data at 10 kHz and RGB imagery at 2 Hz. A CASI-1500 hyperspectral line scanner is integrated with the system as well. Aircraft position, velocity and acceleration information are collected through a combination of Novatel and POS A/V 510 equipment. All raw data streams are transferred to the office for downloading and processing in CZMIL's Hydro Fusion software. Aircraft position data are processed using POSPac software and the results are combined with the lidar data to produce 3-D positions for each lidar shot. Upon inspection and QA/QC in the software packages Fledermaus and PFM_ABE, anomalous data are flagged as invalid and have the withheld bit set.

Process Date/Time: 2013-10-16 00:00:00

Process Step 2

CC ID: 1137832
Description:

LAS files are imported into GeoCue V2014.1.21.1, which is a geospatial workflow production and management software tool employed by JALBTCX to perform and monitor production of data products. Upon import into GeoCue, a customized classification macro, built upon the TerraScan V13 module within Microstation V8i, classifies valid topobathy data as ground points (2) and unclassified points (1), and valid bathymetric points (29). Upon completion the macro, the classification results undergo quality control and any misclassified points are manually edited. In areas of dense vegetation the bare earth ground points might be incorrectly classified due to the inability of the laser to penetrate the canopy and reach the bare ground. In these areas, JALBTCX defaults to the algorithm's "ground" surface instead of manually reclassifying those points. They are partitioned into a series of 5km or quarter quad delivery boxes, one Classified LAS file per box. The format of the file is LAS version 1.2. Data are classified as 1 (valid non-ground topographic data), 2 (valid ground topographic data), and 29 (valid bathymetric data). Then the LAS files are adjusted to Local Mean Sea Level (LMSL). The Geoid12B to HI LMSL vertical adjustment value derived from published NGS control point datasheets for HI, The Maui, was -0.601m.

Process Date/Time: 2015-12-16 00:00:00

Process Step 3

CC ID: 1137833
Description:

The NOAA Office for Coastal Management (OCM) received files in las format from JALBTCX. The files contained LiDAR intensity and elevation measurements and derived products for the island of Maui. OCM performed the following processing on the data for storage purposes and to make it available within Digital Coast:

1. The LAS files were processed to remove outlier points but maintained original projection information. Tiles were delivered horizontally referenced to geographic coordinate system (decimal degress) and vertical heights are referenced to the LMSL in meters.

Process Date/Time: 2016-03-31 00:00:00

Related Items

Item Type Relationship Type Title
Data Set (DS) Cross Reference 2013 USACE NCMP Topobathy Lidar DEM (LMSL): Maui, HI

Catalog Details

Catalog Item ID: 49750
GUID: gov.noaa.nmfs.inport:49750
Metadata Record Created By: Anne Ball
Metadata Record Created: 2017-11-15 15:22+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2022-08-09 17:11+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