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OCM Partners Metadata Library > DEMs - partner (no harvest) >

2018 USGS Lidar DEM: Sabine River, LA

Data Set (DS)  |  OCM Partners (OCMP)
GUID: gov.noaa.nmfs.inport:78519  |  Updated: November 5, 2025  |  Published / External 
Summary
Item Identification
Keywords
Physical Location
Data Set Info
Support Roles
Extents
Spatial Info
Access Info
Distribution Info
URLs
Tech Environment
Data Quality
Data Management
Lineage
Related Items
Catalog Details

Summary

Browse graphic

Short Citation
OCM Partners, 2026: 2018 USGS Lidar DEM: Sabine River, LA, https://www.fisheries.noaa.gov/inport/item/78519.
Full Citation Examples

Abstract

Original Product: These are Digital Elevation Model (DEM) data for the LA Sabine River Lidar as part of the required deliverables for the 2018 LA_Sabine_river Lidar project. Class 2 (ground) lidar points in conjunction with the hydro breaklines were used to create a 0.5 meter hydro-flattened Raster DEM. The total project encompasses an area of approximately 10,535 sq. miles.

Original Dataset Description: The LA Sabine River Lidar project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.2. The data was developed based on a horizontal projection/datum of NAD83 (2011), Universal Transverse Mercator, meters and vertical datum of NAVD88 (GEOID12B), meters. Lidar data was delivered as processed Classified LAS 1.4 files, formatted to 28119 individual 1000 m x 1000 m tiles, as tiled Intensity Imagery, and as tiled bare earth DEMs; all tiled to the same 1000 m x 1000 m schema.

Original Dataset Ground Conditions: Lidar was collected between January 12, 2018 and Dec 1, 2018, while no snow was on the ground and rivers were at or below normal levels.

This metadata record supports the data entry in the NOAA Digital Coast Data Access Viewer (DAV). For this data set, the DAV is leveraging the GeoTIFF files hosted by USGS on Amazon Web Services.

Purpose

To acquire detailed surface elevation data for use in conservation planning, design, research, floodplain mapping, dam safety assessments and elevation modeling, etc. Classified LAS files are used to show the manually reviewed bare earth surface. This allows the user to create Intensity Images, Breaklines and Raster DEM. The purpose of these lidar data was to produce high accuracy 3D hydro-flattened Digital Elevation Model (DEM) with a 0.5 meter cell size. These lidar point cloud data were used to create intensity images, 3D breaklines, and hydro-flattened DEMs as necessary.

Data Access & Downloads

  • Customized Download
    Format: Not Applicable

    Create custom data files by choosing data area, map projection, file format, etc. A new metadata will be produced to reflect your request using this record as a base.

  • Bulk Download
    GeoTIFF

    Bulk download of data files in GeoTIFF format, UTM Zone 15 NAD83 (2011), meters coordinates and orthometric heights in 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.

Controlled Theme Keywords

DIGITAL ELEVATION/TERRAIN MODEL (DEM), elevation, TERRAIN ELEVATION

URLs

  • USGS Work Package Report

    Link to the USGS work package report that provides project information, vertical accuracy results, classifications used, sensors used, and work unit information.

  • Project Report

    Link to the data set project report.

  • Hydro Breaklines

    Link to the data set hydro breaklines.

  • NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV)

    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.

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

-94.044417° W, -92.071339° E, 33.020445° N, 30.04997° S

Time Frame 1
2018-01-12 - 2018-12-01

Item Identification

Title: 2018 USGS Lidar DEM: Sabine River, LA
Short Name: la2018_sabine_river_dem_m13762
Status: Completed
Creation Date: 2018
Publication Date: 2025
Abstract:

Original Product: These are Digital Elevation Model (DEM) data for the LA Sabine River Lidar as part of the required deliverables for the 2018 LA_Sabine_river Lidar project. Class 2 (ground) lidar points in conjunction with the hydro breaklines were used to create a 0.5 meter hydro-flattened Raster DEM. The total project encompasses an area of approximately 10,535 sq. miles.

Original Dataset Description: The LA Sabine River Lidar project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.2. The data was developed based on a horizontal projection/datum of NAD83 (2011), Universal Transverse Mercator, meters and vertical datum of NAVD88 (GEOID12B), meters. Lidar data was delivered as processed Classified LAS 1.4 files, formatted to 28119 individual 1000 m x 1000 m tiles, as tiled Intensity Imagery, and as tiled bare earth DEMs; all tiled to the same 1000 m x 1000 m schema.

Original Dataset Ground Conditions: Lidar was collected between January 12, 2018 and Dec 1, 2018, while no snow was on the ground and rivers were at or below normal levels.

This metadata record supports the data entry in the NOAA Digital Coast Data Access Viewer (DAV). For this data set, the DAV is leveraging the GeoTIFF files hosted by USGS on Amazon Web Services.
Purpose:

To acquire detailed surface elevation data for use in conservation planning, design, research, floodplain mapping, dam safety assessments and elevation modeling, etc. Classified LAS files are used to show the manually reviewed bare earth surface. This allows the user to create Intensity Images, Breaklines and Raster DEM. The purpose of these lidar data was to produce high accuracy 3D hydro-flattened Digital Elevation Model (DEM) with a 0.5 meter cell size. These lidar point cloud data were used to create intensity images, 3D breaklines, and hydro-flattened DEMs as necessary.
Supplemental Information:

Raster File Type = GeoTIFF Bit Depth/Pixel Type = 32-bit float Raster Cell Size = 0.5 Meter Interpolation or Resampling Technique = Triangulated Irregular Network Required Vertical Accuracy = 19.6 cm NVA

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 > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > DIGITAL ELEVATION/TERRAIN MODEL (DEM)
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 > LOUISIANA
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > LAND SURFACE
UNCONTROLLED
None Continent > North America > United States Of America > Louisiana > Bossier Parish
None Continent > North America > United States Of America > Louisiana > Caddo Parish
None Continent > North America > United States Of America > Louisiana > Calcasieu Parish
None Continent > North America > United States Of America > Louisiana > De Soto Parish
None Continent > North America > United States Of America > Louisiana > Grant Parish
None Continent > North America > United States Of America > Louisiana > Natchitoches Parish
None Continent > North America > United States Of America > Louisiana > Rapides Parish
None Continent > North America > United States Of America > Louisiana > Red Rover Parish
None Continent > North America > United States Of America > Louisiana > Sabine Parish
None Continent > North America > United States Of America > Louisiana > Vernon Parish
None Continent > North America > United States Of America > Louisiana > Beauregard Parish

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: Dewberry, USGS

Support Roles

Data Steward

CC ID: 1453628
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: 1453627
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: 1453631
Date Effective From: 2021
Date Effective To:
Contact (Organization): U.S. Geological Survey
Address: 12201 Sunrise Valley Drive
Reston, VA 20191
USA
URL: USGS Home

Metadata Contact

CC ID: 1453629
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: 1453630
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: 1453656
W° Bound: -94.044417
E° Bound: -92.071339
N° Bound: 33.020445
S° Bound: 30.04997

Extent Group 1 / Time Frame 1

CC ID: 1453655
Time Frame Type: Range
Start: 2018-01-12
End: 2018-12-01

Spatial Information

Spatial Representation

Representations Used

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

Reference Systems

Reference System 1

CC ID: 1453644

Coordinate Reference System
CRS Type: Vertical
EPSG Code: EPSG:5703
EPSG Name: NAVD88 height
▾ See Full Coordinate Reference System Information

Reference System 2

CC ID: 1453658

Coordinate Reference System
CRS Type: Projected
EPSG Code: EPSG:6344
EPSG Name: NAD83(2011) / UTM zone 15N
▾ 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.

Distribution Information

Distribution 1

CC ID: 1453632
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=13762/details/13762
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2025 - Present)
File Name: Customized Download
Description:

Create custom data files by choosing data area, map projection, file format, etc. A new metadata will be produced to reflect your request using this record as a base.
File Type (Deprecated): Zip
Distribution Format: Not Applicable
Compression: Zip

Distribution 2

CC ID: 1453633
Download URL: https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/LA_Sabine_River_Lidar_2018_D18/
Distributor: U.S. Geological Survey (2021 - Present)
File Name: Bulk Download
Description:

Bulk download of data files in GeoTIFF format, UTM Zone 15 NAD83 (2011), meters coordinates and orthometric heights in meters.

File Type (Deprecated): LAZ
Distribution Format: GeoTIFF

URLs

URL 1

CC ID: 1453634
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/9382/supplemental/LA_Sabine_River_Lidar_2018_D18_WP_Report.pdf
Name: USGS Work Package Report
URL Type:
Online Resource
File Resource Format: PDF
Description:

Link to the USGS work package report that provides project information, vertical accuracy results, classifications used, sensors used, and work unit information.

URL 2

CC ID: 1453635
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/9382/supplemental/Sabine_Lidar_Project_Report_USGS.pdf
Name: Project Report
URL Type:
Online Resource
File Resource Format: PDF
Description:

Link to the data set project report.

URL 3

CC ID: 1453636
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/9382/breaklines/index.html
Name: Hydro Breaklines
URL Type:
Online Resource
File Resource Format: Zip
Description:

Link to the data set hydro breaklines.

URL 4

CC ID: 1453637
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 5

CC ID: 1453638
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/9382/supplemental/la2018_sabine_m9382.kmz
Name: Browse graphic
URL Type:
Browse Graphic
Browse graphic
File Resource Format: KML
Description:

This graphic displays the footprint for this lidar data set.

Technical Environment

Description:

Riegl RiProcess; GeoCue; Microstation; Terrascan; ArcGIS 10.4; Windows 7; .las 3.66 TB

Data Quality

Horizontal Positional Accuracy:

Horizontal accuracy testing requires well-defined checkpoints that can be identified in the dataset. Elevation datasets, including lidar datasets, do not always contain well-defined checkpoints suitable for horizontal accuracy assessment. However, the ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) recommends at least half of the NVA vertical check points should be located at the ends of paint stripes or other point features visible on the lidar intensity image, allowing them to double as horizontal check points. Dewberry reviews all NVA checkpoints to determine which, if any, of these checkpoints are located on photo-identifiable features in the intensity imagery. This subset of checkpoints was then used for horizontal accuracy testing. Thirteen checkpoints were determined to be photo-identifiable in the intensity imagery and were used to test the horizontal accuracy of the lidar dataset.

Using NSSDA methodology (endorsed by the ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014)), horizontal accuracy at the 95% confidence level (called ACCURACYr) is computed by the formula RMSEr * 1.7308 or RMSExy * 2.448.

No horizontal accuracy requirements or thresholds were provided for this project. However, lidar datasets are generally calibrated by methods designed to ensure a horizontal accuracy of 1 meter or less at the 95% confidence level.

This data set was produced to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 41 cm RMSEx/RMSEy Horizontal Accuracy Class which equates to Positional Horizontal Accuracy = +/- 1 meter at a 95% confidence level. Using this small sample set of photo-identifiable checkpoints, positional accuracy of this dataset was found to be RMSEx = 22.9 cm and RMSEy = 21.7 cm which equates to +/- 54.5 cm at 95% confidence level. While not statistically significant, the results of the small sample set of checkpoints are within the produced to meet horizontal accuracy.

For more information see the project report. The link to the report is provided in the URL section of this metadata record.
Vertical Positional Accuracy:

USGS Determined DEM Vertical Accuracy

NVA RMSEz = 4.88 cm, NVA Accuracyz at 95th confidence interval=9.58 cm

VVA= 15.16 cm at the 95th percentile

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

Datasets contain complete coverage of tiles. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. There are no void areas or missing data. The raw point cloud is of good quality and data passes Non-Vegetated Vertical Accuracy specifications.
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 tape and to cloud storage.

Lineage

Lineage Statement:

The NOAA Office for Coastal Management (OCM) ingested references to the USGS GeoTIFF files that are hosted on Amazon Web Services (AWS), into the Digital Coast Data Access Viewer (DAV). The DAV accesses the raster data as it resides on AWS.

Sources

USGS AWS GeoTIFF Files - A1

CC ID: 1453645
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: USGS
Citation URL: https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/LA_Sabine_River_Lidar_2018_D18/LA_Sabine_River_Lidar_A1_2018/TIFF/
Citation URL Name: USGS AWS GeoTIFF Files for block A1

USGS AWS GeoTIFF Files - A2

CC ID: 1453646
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: USGS
Citation URL: https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/LA_Sabine_River_Lidar_2018_D18/LA_Sabine_River_Lidar_A2_2018/TIFF/
Citation URL Name: USGS AWS GeoTIFF Files for block A2

USGS AWS GeoTIFF Files - A3

CC ID: 1453647
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: USGS
Citation URL: https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/LA_Sabine_River_Lidar_2018_D18/LA_Sabine_River_Lidar_A3_2018/TIFF/
Citation URL Name: USGS AWS GeoTIFF Files for A3

USGS AWS GeoTIFF Files - A4

CC ID: 1453648
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: USGS
Citation URL: https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/LA_Sabine_River_Lidar_2018_D18/LA_Sabine_River_Lidar_A4_2018/TIFF/
Citation URL Name: USGS AWS GeoTIFF Files for block A4

USGS AWS GeoTIFF Files - A5

CC ID: 1453649
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: USGS
Citation URL: https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/LA_Sabine_River_Lidar_2018_D18/LA_Sabine_River_Lidar_A5_2018/TIFF/
Citation URL Name: USGS AWS GeoTIFF Files for block A5

USGS AWS GeoTIFF Files - A6

CC ID: 1453650
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: USGS
Citation URL: https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/LA_Sabine_River_Lidar_2018_D18/LA_Sabine_River_Lidar_A6_2018/TIFF/
Citation URL Name: USGS AWS GeoTIFF Files for block A6

Process Steps

Process Step 1

CC ID: 1453651
Description:

The boresight for each lift was done individually as the solution may change slightly from lift to lift. The following steps describe the Raw Data Processing and Boresight process: 1) Technicians processed the raw data to LAS format flight lines using the final GPS/IMU solution. This LAS data set was used as source data for boresight. 2) Technicians first used Airborne Imaging Inc proprietary and commercial software to calculate initial boresight adjustment angles based on sample areas selected in the lift. These areas cover calibration flight lines collected in the lift, cross tie and production flight lines. These areas are well distributed in the lift coverage and cover multiple terrain types that are necessary for boresight angle calculation. The technician then analyzed the results and made any necessary additional adjustment until it is acceptable for the selected areas. 3) Once the boresight angle calculation was completed for the selected areas, the adjusted settings were applied to all of the flight lines of the lift and checked for consistency. The technicians utilized commercial and proprietary software packages to analyze how well flight line overlaps match for the entire lift and adjusted as necessary until the results met the project specifications. 4) Once all lifts were completed with individual boresight adjustment, the technicians checked and corrected the vertical misalignment of all flight lines and also the matching between data and ground truth. The relative accuracy was less than or equal to 6 cm RMSEz within individual swaths and less than or equal to 8 cm RMSDz or within swath overlap (between adjacent swaths). 5) The technicians ran a final vertical accuracy check of the boresighted flight lines against the surveyed check points after the z correction to ensure the requirement of NVA = 19.6 cm 95% Confidence Level (Required Accuracy) was met. Point classification was performed according to USGS Lidar Base Specification 1.2.

Dates of collection:

A1: 20180131 - 20180610

A2: 20180114 - 20180610

A3: 20180114 - 20180610

A4: 20180131 - 20180608

A5: 20181102 - 20190218

A6: 20180131 - 20181210
Process Date/Time: 2019-02-06 00:00:00

Process Step 2

CC ID: 1453652
Description:

LAS Point Classification: The point classification is performed as described below. The bare earth surface is then manually reviewed to ensure correct classification on the Class 2 (Ground) points. After the bare-earth surface is finalized, it is then used to generate all hydro-breaklines through heads-up digitization. All ground (ASPRS Class 2) lidar data inside of the Lake Pond and Double Line Drain hydro flattening breaklines were then classified to water (ASPRS Class 9) using TerraScan macro functionality. A buffer of 0.35 meters was also used around each hydro-flattened feature to classify these ground (ASPRS Class 2) points to Ignored ground (ASPRS Class 10). All Lake Pond Island and Double Line Drain Island features were checked to ensure that the ground (ASPRS Class 2) points were reclassified to the correct classification after the automated classification was completed. All overlap data was processed through automated functionality provided by TerraScan to classify the overlapping flight line data to approved classes by USGS. The overlap data was classified using standard LAS overlap bit. 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. All data was manually reviewed and any remaining artifacts removed using functionality provided by TerraScan and TerraModeler. Global Mapper us used as a final check of the bare earth dataset. GeoCue was then used to create the deliverable industry-standard LAS files for both the All Point Cloud Data and the Bare Earth. Dewberry proprietary software 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: 2019-02-06 00:00:00

Process Step 3

CC ID: 1453653
Description:

Hydro Flattened Raster DEM Process: Class 2 (ground) lidar points in conjunction with the hydro breaklines were used to create a 0.5 meter hydro-flattened Raster DEM. Using automated scripting routines within ArcMap, an Geotiff file was created for each tile. Each surface is reviewed using Global Mapper to check for any surface anomalies or incorrect elevations found within the surface.
Process Date/Time: 2019-06-05 00:00:00

Process Step 4

CC ID: 1453659
Description:

The NOAA Office for Coastal Management (OCM) created references to the USGS GeoTIFF files that were ingested into the NOAA Digital Coast Data Access Viewer (DAV). No changes were made to the data. The DAV will access the raster data as it resides on Amazon Web Services (AWS).

These are the GeoTIFF files that are being accessed:

https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/LA_Sabine_River_Lidar_2018_D18/LA_Sabine_River_Lidar_A1_2018/TIFF/

https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/LA_Sabine_River_Lidar_2018_D18/LA_Sabine_River_Lidar_A2_2018/TIFF/

https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/LA_Sabine_River_Lidar_2018_D18/LA_Sabine_River_Lidar_A3_2018/TIFF/

https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/LA_Sabine_River_Lidar_2018_D18/LA_Sabine_River_Lidar_A4_2018/TIFF/

https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/LA_Sabine_River_Lidar_2018_D18/LA_Sabine_River_Lidar_A5_2018/TIFF/

https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/LA_Sabine_River_Lidar_2018_D18/LA_Sabine_River_Lidar_A6_2018/TIFF/
Process Date/Time: 2025-11-07 00:00:00
Process Contact: NOAA Office for Coastal Management (NOAA/OCM)
Email Address: coastal.info@noaa.gov
Phone (Voice): (843) 740-1202

Related Items

Item Type Relationship Type Title
Data Set (DS) Cross Reference 2018 USGS Lidar: Sabine River, LA

Catalog Details

Catalog Item ID: 78519
GUID: gov.noaa.nmfs.inport:78519
Metadata Record Created By: Rebecca Mataosky
Metadata Record Created: 2025-11-04 21:28+0000
Metadata Record Last Modified By: Rebecca Mataosky
Metadata Record Last Modified: 2025-11-05 20:07+0000
Metadata Record Published: 2025-11-04
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