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Short Citation:
OCM Partners, 2022: 2009 US Army Corps of Engineers (USACE) Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX) Topographic Lidar: South Texas Coast, https://www.fisheries.noaa.gov/inport/item/50082.

Item Identification

Title: 2009 US Army Corps of Engineers (USACE) Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX) Topographic Lidar: South Texas Coast
Short Name: usace2009_tx_m1063_metadata
Status: Completed
Publication Date: 2011-09
Abstract:

This Light Detection and Ranging (LiDAR) classified (ASPRS LAS classifications) dataset is a topographic survey conducted for the West

Texas Aerial Survey 2009 project. This data was produced for the US Army Corps of Engineers (USACE) Joint Airborne Lidar Bathymetry

Technical Center of Expertise (JALBTCX). The LiDAR point cloud was flown at a density sufficient to support a maximum final post

spacing of 1 point per meter. 3001 International Inc. acquired 81 flightlines between February 3, 2009 and April 23, 2009. The West

Texas Aerial Survey 2009 was collected under the guidance of a Professional Mapper/Surveyor. The area of coverage includes portions

of the coastline in the following counties: Aransas, Brazoria, Calhoun, Cameron, Kenedy, Kleberg, Matagorda, Nueces, San Patricio,

and Willacy.

Original contact information:

Contact Org: Northrop Grumman (formerly 3001 International Inc.)

Title: LiDAR Department

Phone: (985) 661 - 3001

Purpose:

The West Texas Aerial Survey 2009 project will support the US Army Corps of Engineers (USACE) Joint Airborne Lidar Bathymetry Technical

Center of Expertise (JALBTCX) collection of data representing the post-hurricane condition of the beaches, barrier islands, and lakeshores

along the coasts of Texas.

Notes:

10726

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/geoid18/1063/supplemental/2009_USACE_JALBTCX_South_Texas_Coast_Lidar.kmz

Keywords

Theme Keywords

Thesaurus Keyword
ISO 19115 Topic Category
elevation
UNCONTROLLED
None Height

Temporal Keywords

Thesaurus Keyword
UNCONTROLLED
None 2009
None April
None February
None March

Physical Location

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

Data Set Information

Data Set Scope Code: Data Set
Maintenance Frequency: None Planned
Distribution Liability:

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

partners.

Data Set Credit: US Army Corps of Engineers (USACE) Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX)

Support Roles

Data Steward

CC ID: 689659
Date Effective From: 2011-09
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: 689661
Date Effective From: 2011-09
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: 689662
Date Effective From: 2011-09
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: 689660
Date Effective From: 2011-09
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: 1132302
W° Bound: -97.403417
E° Bound: -95.277455
N° Bound: 28.957342
S° Bound: 25.951459

Extent Group 1 / Time Frame 1

CC ID: 1132301
Time Frame Type: Range
Start: 2009-02-03
End: 2009-04-23

Spatial Information

Spatial Representation

Representations Used

Vector: Yes

Access Information

Security Class: Unclassified
Security Classification System:

Unclassified

Security Handling Description:

Unclassified

Data Access Procedure:

This data can be obtained on-line at the following URL: https://coast.noaa.gov/dataviewer;

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: 742936
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=1063
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: 742937
Download URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1063/index.html
Distributor:
File Name: Bulk Download
Description:

Simple download of data files.

URLs

URL 1

CC ID: 742939
URL: https://coast.noaa.gov/dataviewer
URL Type:
Online Resource

URL 2

CC ID: 742940
URL: https://coast.noaa.gov
URL Type:
Online Resource

URL 3

CC ID: 742941
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1063/supplemental/2009_USACE_JALBTCX_South_Texas_Coast_Lidar.kmz
Name: Browse Graphic
URL Type:
Browse Graphic
File Resource Format: kmz
Description:

This kmz file shows the lidar footprint for the 2009 USACE JALBTCX Lidar for portions of the

south Texas coast.

Activity Log

Activity Log 1

CC ID: 689690
Activity Date/Time: 2016-05-23
Description:

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 689689
Activity Date/Time: 2017-11-14
Description:

Converted from FGDC Content Standard 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: 718686
Activity Date/Time: 2018-02-08
Description:

Partial upload of Positional Accuracy fields only.

Activity Log 4

CC ID: 742938
Activity Date/Time: 2018-03-13
Description:

Partial upload to move data access links to Distribution Info.

Technical Environment

Description:

Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog 9.3.1.3000

Data Quality

Accuracy:

The West Texas Aerial Survey 2009 project was collected under the guidance of a Professional Mapper/Surveyor. The data were collected at a

density sufficient to support a maximum final post spacing of 1.5 points per meter.

Horizontal Positional Accuracy:

All ground control processing and adjustment is performed using published coordinate horizontal and vertical datums (e.g. NGS CORS).

For deliverables, Corpscon for Windows Version 5.11.08 (geoid 03) was used for horizontal and vertical datum conversion as well as for

coordinate system conversion purposes (e.g. UTM to State Plane).

; Quantitative Value: 0.5 meters, Test that produced the value: Not provided

Vertical Positional Accuracy:

The accuracy assessment was performed using a standard method to compute the root mean square error (RMSE) based on a comparison of ground

control points (GCP) and filtered LiDAR data points. Filtered LiDAR data has had vegetation and cultural features removed and by analysis

represents bare-earth elevations. The RMSE figure was used to compute the vertical National Standard for Spatial Data Accuracy (NSSDA).

Ground control was established by 3001, Inc. A spatial proximity analysis was used to select edited LiDAR data points contiguous to the

relevant GCPs. A search radius decision rule is applied with consideration of terrain complexity, cumulative error, and adequate sample size.

Cumulative error results from the errors inherent in the various sources of horizontal measurement. These sources include the airborne GPS,

GCPs, and the uncertainty of the accuracy of the LiDAR data points. This accuracy is achieved prior to the sub-sampling that occurs through

integration with the inertial measurement unit (IMU) positions that are recorded. It is unclear at this time whether the initial accuracy

is maintained. The horizontal accuracy of the GCPs is estimated to be in the range of approximately 1 to 1.6 inches. Finally, sample size

was considered. The specification for the National Standard for Spatial Data Accuracy is a minimum of 20 points to conduct a statistically

significant accuracy evaluation (Minnesota Planning, 1999, Positional Accuracy Handbook, Minnesota Planning Land Management Information

Center, St. Paul, Minnesota., p.3). Most statistical texts indicate that a minimum of 30 sample points provide a reasonable Approximation

of a normal distribution. The intent of the NSSDA is to reflect the geographic area of interest and the distribution of error in the data

set (Federal Geographic Data Committee, 1998, Geospatial National Standard for Spatial Data Accuracy, Federal Geographic Data Committee

Secretariat, Reston, Virginia, p.3-4). Additional steps were taken to ensure the vertical accuracy of the LiDAR data including:

Step 1: Precision Bore sighting (Check Edge-matching)

Step 2: Compare the LiDAR data to the Field Survey (Field survey is to FEMA specifications and more stringent internal specifications)

Step 3: Automated Filtering

Step 4: Manual Editing (Quality Control)

; Quantitative Value: 0.15 meters, Test that produced the value: See Vertical Positional Accuracy Report

Completeness Measure:

Cloud Cover: 0

Completeness Report:

The LAS files were flown at a density sufficient to support a maximum final post spacing of final post spacing of 1.5 points per meter.

Conceptual Consistency:

The Light Detection and Ranging (LiDAR) LAS dataset is a topographic survey conducted for the West Texas Aerial Survey Project. This data was

produced for US Army Corps of Engineers (USACE) Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX).

Lineage

Sources

West Texas Aerial Survey LAS Dataset

CC ID: 1132293
Extent Type: Range
Extent Start Date/Time: 2009-02-03
Extent End Date/Time: 2009-04-23
Scale Denominator: 24000
Source Contribution:

The West Texas Aerial Survey 2009 was acquired for US Army Corps of Engineers (USACE) Joint Airborne Lidar Bathymetry Technical Center of

Expertise (JALBTCX) and processed by 3001 International Inc.

| Source Geospatial Form: raster digital data | Type of Source Media: digital tape media

Process Steps

Process Step 1

CC ID: 1132294
Description:

The Airborne Global Position System (ABGPS), inertial measurement unit (IMU), and raw scans are collected during the LiDAR aerial survey.

The ABGPS monitors the xyz position of the sensor and the IMU monitors the orientation of the aircraft. During the aerial survey laser

pulses reflected from features on the surface and are detected by the receiver optics and collected by the data logger. GPS locations are

based on data collected by receivers on the aircraft and base stations on the ground. The ground base stations are placed no more than 20 km

radius from the flight survey area.

Process Date/Time: 2010-01-15 00:00:00

Process Step 2

CC ID: 1132295
Description:

The ABGPS, IMU, and raw scans are integrated using proprietary software developed by Optech and delivered with the Optech ALTM Gemini System.

The resultant file is in a LAS binary file format. The LAS file version 1.1 format can be easily transferred from one file format to another.

It is a binary file format that maintains information specific to the LiDAR data (return#, intensity value, xyz, etc.). The resultant points

are referenced to the Geographic NAD83 horizontal datum and NAVD88 vertical datum.

Process Date/Time: 2009-05-27 00:00:00

Process Step 3

CC ID: 1132296
Description:

The data is subjected to rigorous QA/QC according to the 3001 Inc. Quality Control Plan and procedures. Very briefly, a series of

quantitative and visual procedures are employed to validate the accuracy and consistency of the data. Ground control is established by 3001,

Inc. and GPS-derived ground control points (GCPs) points in various areas of dominant and prescribed land cover. These points are coded

according to landcover, surface material, and ground control suitability. A suitable number of points are selected for calculation of a

statistically significant accuracy assessment as per the requirements of the National Standard for Spatial Data Accuracy. A spatial

proximity analysis is used to select edited LiDAR data points within a specified distance of the relevant GCPs. A search radius decision

rule is applied with consideration of terrain complexity, cumulative error, and adequate sample size. Accuracy validation and evaluation

is accomplished using proprietary software to apply relevant statistical routines for calculation of Root Mean Square Error (RMSE) and the

National Standard for Spatial Data Accuracy (NSSDA) according to Federal Geographic Data Committee (FGDC) specifications.

Process Date/Time: 2009-05-27 00:00:00

Process Step 4

CC ID: 1132297
Description:

Metadata imported.

Process Date/Time: 2010-09-01 00:00:00

Process Step 5

CC ID: 1132298
Description:

Metadata imported.

Process Date/Time: 2010-09-01 00:00:00

Process Step 6

CC ID: 1132299
Description:

The NOAA Office for Coastal Management (OCM) received classified data (ASPRS LAS classifications) in las format. The files contained LiDAR

intensity and elevation measurements. OCM performed the following processing for data storage and Digital Coast provisioning purposes:

1. The data were converted from NAVD88 heights to ellipsoid heights using Geoid03.

2. The LAS header fields were sorted by latitude and updated.

Process Date/Time: 2011-09-01 00:00:00

Catalog Details

Catalog Item ID: 50082
GUID: gov.noaa.nmfs.inport:50082
Metadata Record Created By: Anne Ball
Metadata Record Created: 2017-11-15 15:24+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