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Item Identification
Keywords
Physical Location
Data Set Info
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Spatial Info
Access Info
Distribution Info
URLs
Tech Environment
Data Quality
Data Management
Lineage
Related Items
Catalog Details

Summary

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Short Citation
OCM Partners, 2024: 2017 TNRIS Lidar DEM: Jefferson, Liberty and Chambers, TX (East), https://www.fisheries.noaa.gov/inport/item/59008.
Full Citation Examples

Abstract

This metadata record describes the bare-earth hydro-flattened Digital Elevation Model (DEM) for the Eastern Block of the 2017 Texas Coastal LiDAR project. The Eastern Block covers approximately 841 square miles, including the cities of Beaumont, Port Arthur, and Nederland in southeast Texas. This point cloud AOI was collected to meet the density of 4 points per meter. The DEM has 1 m horizontal resolution, is in UTM Zone 15 projection, horizontal datum is the North American Datum of 1983 (NAD83 (2011)), vertical datum is North American Vertical Datum of 1988 (NAVD88) using the latest geoid (Geoid12b) for converting ellipsoidal heights to orthometric heights. Units - Meters

Sanborn Map Company was contracted by Texas Water Development Board (TWDB) in cooperation with the Trinity River Authority (TRA) to perform 2017 LiDAR aerial surveys of Texas coastal area of about 1130 square miles. Collections was completed utilizing multi-return systems, Light Detection and Ranging (LiDAR) data in the form of 3-dimensional positions of a dense set of mass points between February 22nd and March 23rd, 2017. ALS70 LiDAR was flown to produce four (4) points and eight (8) points per square meter return density or 0.5 meters and 0.35 meters respectively Nominal Point Spacing (NPS)

Note: The Western Block AOI covers approximately 289 square miles, including the cities of Liberty, Hankamer, and Anahuac in southeast Texas. This point cloud AOI was collected to meet the density of 8 points per meter. Total area covers equals approximately 1.130 square miles. The Western Block is available through the 'Related Items' section, below.

Distribution Information

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

  • GeoTIFF

    Simple download of data files.

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.

Controlled Theme Keywords

COASTAL BATHYMETRY, COASTAL ELEVATION, elevation, TERRAIN ELEVATION

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

Metadata Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202

Extents

Geographic Area 1

-94.444° W, -93.768° E, 30.1° N, 29.597° S

Time Frame 1
2017-02-22 - 2017-03-04

Lidar acquisition dates

Item Identification

Title: 2017 TNRIS Lidar DEM: Jefferson, Liberty and Chambers, TX (East)
Status: Completed
Publication Date: 2017
Abstract:

This metadata record describes the bare-earth hydro-flattened Digital Elevation Model (DEM) for the Eastern Block of the 2017 Texas Coastal LiDAR project. The Eastern Block covers approximately 841 square miles, including the cities of Beaumont, Port Arthur, and Nederland in southeast Texas. This point cloud AOI was collected to meet the density of 4 points per meter. The DEM has 1 m horizontal resolution, is in UTM Zone 15 projection, horizontal datum is the North American Datum of 1983 (NAD83 (2011)), vertical datum is North American Vertical Datum of 1988 (NAVD88) using the latest geoid (Geoid12b) for converting ellipsoidal heights to orthometric heights. Units - Meters

Sanborn Map Company was contracted by Texas Water Development Board (TWDB) in cooperation with the Trinity River Authority (TRA) to perform 2017 LiDAR aerial surveys of Texas coastal area of about 1130 square miles. Collections was completed utilizing multi-return systems, Light Detection and Ranging (LiDAR) data in the form of 3-dimensional positions of a dense set of mass points between February 22nd and March 23rd, 2017. ALS70 LiDAR was flown to produce four (4) points and eight (8) points per square meter return density or 0.5 meters and 0.35 meters respectively Nominal Point Spacing (NPS)

Note: The Western Block AOI covers approximately 289 square miles, including the cities of Liberty, Hankamer, and Anahuac in southeast Texas. This point cloud AOI was collected to meet the density of 8 points per meter. Total area covers equals approximately 1.130 square miles. The Western Block is available through the 'Related Items' section, below.

Purpose:

To acquire detailed surface elevation data for use in conservation planning, design, research, floodplain mapping, dam safety assessments, and hydrologic modeling. LAS and bare earth DEM data products are suitable for 1 foot contour generation. USGS LiDAR Base Specification 1.2, QL2.

Supplemental Information:

Project Projection, Datums and Units. Projection - UTM Zone 15. Horizontal datum - North American Datum of 1983 (NAD83 (2011)). Vertical datum - North American Vertical Datum of 1988 (NAVD88) using the latest geoid (Geoid12b) for converting ellipsoidal heights to orthometric heights. Units - Meters

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 > BATHYMETRY/SEAFLOOR TOPOGRAPHY > BATHYMETRY > COASTAL BATHYMETRY
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 > TEXAS
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > LAND SURFACE
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > SEA FLOOR
UNCONTROLLED
Global Change Master Directory (GCMD) Location Keywords Continent > North America > United States Of America > Southeast
Global Change Master Directory (GCMD) Location Keywords Continent > North America > United States Of America > U.S. Coastline

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: Unknown
Data Presentation Form: Model (digital)
Entity Attribute Detail Citation:

USGS Base Specification 1.2

Distribution Liability:

The digital data have been tested and their documentation carefully reviewed. However, the end user and its representatives make no warranty or representation, either expressed or implied, with respect to the digital data and their documentation, their quality, performance, merchantability, or fitness for a particular purpose. The digital data are distributed on "as is" basis, and the user assumes all risk to their quality, the results obtained from their use, and the performance of the data. In no event will the end user or its representatives be liable for any direct, indirect, special, incidental or consequential damages resulting from and defect in the State of Texas or in their documentation. This disclaimer of warranty is exclusive and in lieu of all others, oral or written, express or implied. No agent or employee is authorized to make any modification, extension, or addition to this warranty.

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: State of Texas

Support Roles

Data Steward

CC ID: 899636
Date Effective From: 2020
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: 899637
Date Effective From: 2020
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: 899638
Date Effective From: 2020
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: 899639
Date Effective From: 2020
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: 1293616
W° Bound: -94.444
E° Bound: -93.768
N° Bound: 30.1
S° Bound: 29.597

Extent Group 1 / Time Frame 1

CC ID: 1293615
Time Frame Type: Range
Start: 2017-02-22
End: 2017-03-04
Description:

Lidar acquisition dates

Spatial Information

Spatial Resolution

Horizontal Distance: 1.0 Meter

Spatial Representation

Representations Used

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

Vector Representation 1

CC ID: 899652
Point Object Present?: No

Access Information

Security Class: Unclassified
Data Access Procedure:

Data is available online for bulk or 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: 899640
Start Date: 2020-03-04
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9047
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2020 - Present)
File Name: Customized Download
Description:

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

File Type (Deprecated): Zip
Compression: Zip

Distribution 2

CC ID: 899641
Start Date: 2020-03-04
End Date: Present
Download URL: https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/TNRIS_JeffLibCham_50cm_DEM_2018_9054/
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2020 - Present)
File Name: Bulk Download
Description:

Simple download of data files.

File Type (Deprecated): GeoTIFF
Distribution Format: GeoTIFF

URLs

URL 1

CC ID: 899642
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9040/supplemental/extent_2018_tx_jeff_lib_cham_m9040.kmz
Name: Browse graphic
URL Type:
Browse Graphic
File Resource Format: KML
Description:

This graphic displays the footprint for this lidar data set.

URL 2

CC ID: 899643
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 3

CC ID: 899644
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9040/supplemental/580-17-SOW0039_LiDAR_CoastalTexas_GroundControl_SurveyReport.pdf
Name: Dataset report
URL Type:
Online Resource
File Resource Format: PDF
Description:

Link to data set report.

URL 4

CC ID: 899645
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9040/supplemental/580170040_FinalQAQCReport_20180404.pdf
Name: Dataset report
URL Type:
Online Resource
File Resource Format: PDF
Description:

Link to data set report.

URL 5

CC ID: 899646
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9040/supplemental/SM580170040_CheckpointSurveyReportDeliverable_20170417.pdf
Name: Dataset report
URL Type:
Online Resource
File Resource Format: PDF
Description:

Link to data set report.

URL 6

CC ID: 899647
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9040/supplemental/TX_Coastal_Acq_Parameters.pdf
Name: Dataset report
URL Type:
Online Resource
File Resource Format: PDF
Description:

Link to data set report.

Technical Environment

Description:

Microsoft Windows 7; ESRI ArcCatalog 9.3.1.1850

Data Quality

Horizontal Positional Accuracy:

This data set was produced to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 24.1 cm RMSEx / RMSEy Horizontal Accuracy Class which equates to Positional Horizontal Accuracy = +/- 47.2 cm at a 95% confidence level.

Quantitative value: 0.241m

Horizontal error in lidar derived elevation data is largely a function of positional error as derived from the Global Navigation Satellite System (GNSS), attitude (angular orientation) error (as derived from the INS) and flying altitude; and can be estimated based on these parameters.

Vertical Positional Accuracy:

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

The Eastern Block actual NVA accuracy was found to be RMSEz = 10.3 cm, equating to +/- 20.2 cm at 95% confidence level. Actual VVA accuracy was found to be +/- 28.9 cm at the 95th percentile.

The overall NVA accuracy for the entire dataset is RMSEz = 9.992.

(The Western Block AOI actual NVA accuracy was found to be RMSEz = 8.2 cm, equating to +/- 16.1 cm at 95% confidence level. Actual VVA accuracy was found to be +/- 12.5 cm at the 95th percentile).

Completeness Report:

LiDAR data is collected for the project area. Post processing of the simultaneously acquired GPS/INS is performed and applied to the laser returns to output a point cloud in the specified project coordinate system and datums. The point cloud data is then subjected to automated classification routines to assign all points in the point cloud to ground, water, overlap and unclassified point classes. Once clean bare earth points are established, all products are created.

Conceptual Consistency:

LiDAR data is collected within the project area and processed. Control points were used during calibration to verify accuracy.

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

Sources

Classified lidar

CC ID: 1293602
Contact Role Type: Originator
Contact Type: Organization
Contact Name: Sanborn Map Company Inc.
Extent Type: Discrete
Extent Start Date/Time: 2017
Scale Denominator: 1200
Source Contribution:

The classified lidar point cloud is used to derive various data products such as, but not limited to, bare earth gridded DEM, triangulated irregular networks (TIN), contours, digital surface models (DSM). The output format is fully compliant LAS v1.4, Point Record Format 6

Ground control

CC ID: 1293603
Contact Role Type: Originator
Contact Type: Organization
Contact Name: Sanborn Map Company Inc.
Publish Date: 2017-01-01
Extent Type: Discrete
Extent Start Date/Time: 2017
Source Contribution:

Targeted ground control is used to create a digital control file and control report as well as QC check of LiDAR accuracy. Predefined points (NGS when available) within the project area are targeted.

LiDAR Data

CC ID: 1293604
Contact Role Type: Originator
Contact Type: Organization
Contact Name: Sanborn Map Company Inc.
Extent Type: Discrete
Extent Start Date/Time: 2017
Source Contribution:

Aerial LiDAR and GPS/IMU data are recorded for the defined project area at an altitude, flight speed, scanner swath width and scanner pulse frequency to achieve the design goals of the project.

Post processed GPS/INS

CC ID: 1293605
Contact Role Type: Originator
Contact Type: Organization
Contact Name: Sanborn Map Company Inc.
Extent Type: Discrete
Extent Start Date/Time: 2017
Scale Denominator: 1200
Source Contribution:

Post processed GPS/INS is applied to the lidar point data to georeference each point in the project coordinate system

Post processed lidar

CC ID: 1293606
Contact Role Type: Originator
Contact Type: Organization
Contact Name: Sanborn Map Company Inc.
Extent Type: Discrete
Extent Start Date/Time: 2017
Scale Denominator: 1200
Source Contribution:

The post processed lidar data has been projected and oriented in the specified coordinate system as an un-classified point cloud.

Tile Definition

CC ID: 1293607
Contact Role Type: Originator
Contact Type: Organization
Contact Name: Sanborn Map Company Inc.
Extent Type: Discrete
Extent Start Date/Time: 2017
Scale Denominator: 1200
Source Contribution:

The tile definition defines discreet non-overlapping rectangular areas used as cut lines to break up the large classified lidar dataset into smaller, more manageable data tiles. Each tile is 1mi x 1mi in dimension.

Process Steps

Process Step 1

CC ID: 1293608
Description:

Using a Leica Light Detection And Ranging (LiDAR) system, 4PPM LiDAR data was collected over the East Texas AOI. Multiple returns were recorded for each laser pulse along with an intensity value for each return. The data acquisition occurred in ten missions between February 22nd and March 4th, 2017. During the LIDAR campaign, the Sanborn field crew conducted a GPS field survey to establish final coordinates of the ground base stations for final processing of the base-remote GPS solutions.

Process Date/Time: 2017-01-01 00:00:00
Source: LiDAR Data

Process Step 2

CC ID: 1293609
Description:

Airborne GPS data was differentially processed and integrated with the post processed IMU data to derive a Smoothed Best Estimate of Trajectory (SBET). IMU data provides information concerning roll, pitch and yaw of collection platform during collection event. IMU information allows the pulse vector to be properly placed in 3D space allowing the distance from the aircraft reference point to be properly positioned on the elevation model surface. The SBET was used to reduce the LiDAR slant range measurements to a raw reflective surface for each flight line.

Airborne GPS is differentially processed using the Inertial Explorer software by Leica Geosystems.

Process Date/Time: 2017-01-01 00:00:00

Process Step 3

CC ID: 1293610
Description:

Leica's CloudPro software then combined the SBET and Raw Laser (.scn) files to produce raw point cloud swath data in LAS v1.4 format.

Process Date/Time: 2017-01-01 00:00:00

Process Step 4

CC ID: 1293611
Description:

The raw swath point cloud data was then calibrated using TerraMatch, a TerraSolid software, to correct relative bias in conjoining swaths that include roll, pitch, heading, Scale, and elevation. The swath data is then compared against the calibration control points and adjusted vertically to exceed the vertical accuracy requirements for the project.

Process Date/Time: 2017-01-01 00:00:00

Process Step 5

CC ID: 1293612
Description:

The georeferenced lidar data is then classified and edited in Terrasolid Terrascan software. Data is classified to produce: Class 1: unclassified, Class 2: ground, Class 3: low veg, Class 4: med veg, Class 5: high veg, Class 6: building, Class 7: low point, Class 9: water, Class 10: ignored ground, Class 13: bridge deck, Class 14: culverts

Process Date/Time: 2017-01-01 00:00:00

Process Step 6

CC ID: 1293613
Description:

The NOAA Office for Coastal Management (OCM) received the files in the proprietary ERDAS IMG format. The files were converted to floating point GeoTIFF format in vertical meters using gdal_translate from GDAL version 3.0.2.

1. An internal OCM script was 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 orthometric (NAVD88) elevations to NAD83 (2011) ellipsoid elevations using the Geoid 12b model, to convert from UTM Zone 15 North NAD83 (2011) coordinates in meters to geographic coordinates, to assign the geokeys, to sort the data by gps time and zip the data to database and to http.

Process Contact: Office for Coastal Management (OCM)

Related Items

Item Type Relationship Type Title
Data Set (DS) Cross Reference 2017 TNRIS Lidar DEM: Jefferson, Liberty and Chambers, TX (West)

Link to metadata record for the Western Block.

Catalog Details

Catalog Item ID: 59008
GUID: gov.noaa.nmfs.inport:59008
Metadata Record Created By: Blake Waring
Metadata Record Created: 2020-03-09 12:56+0000
Metadata Record Last Modified By: Kirk Waters
Metadata Record Last Modified: 2024-01-10 19:11+0000
Metadata Record Published: 2024-01-10
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