2017 - 2018 USGS FEMA Lidar DEM: Red River, TX
Data Set (DS) | OCM Partners (OCMP)GUID: gov.noaa.nmfs.inport:78479 | Updated: November 3, 2025 | Published / External
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Summary
Short Citation
OCM Partners, 2026: 2017 - 2018 USGS FEMA Lidar DEM: Red River, TX, https://www.fisheries.noaa.gov/inport/item/78479.
Full Citation Examples
Original Product: These are Digital Elevation Model (DEM) data for TX Red River FEMA R6, as part of the required deliverables for the TX Red River FEMA R6 Lidar project. Class 2 (ground) lidar points in conjunction with the hydro breaklines were used to create a 1 meter hydro-flattened Raster DEM.
Original Geographic Extent: TX Red River FEMA R6 covering approximately 29528 square miles.
Original Dataset Description: TX Red River FEMA R6 Lidar project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.7 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 42187 individual 1500 m x 1500 m tiles, as tiled Intensity Imagery, and as tiled bare earth DEMs; all tiled to the same 1500 m x 1500 m schema.
Ground Conditions: Lidar was collected in late 2017 to spring of 2018, 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, Prime Contractor, LLC established a total of 531 ground control points that were used to calibrate the lidar to known ground locations established throughout the TX Red River FEMA R6 project area. An additional 1088 independent accuracy checkpoints, 639 in Bare Earth and Urban landcovers (639 NVA points), 449 in Tall Grass and Brushland/Low Trees categories 449 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.
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.
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 1 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
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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.
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GeoTIFF
None
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
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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.
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Link to the reports, breaklines, metadata, and spatial metadata.
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Link to the Dewberry lidar report for blocks Atascosa B1 and Atascosa B2.
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Link to the Dewberry lidar report for blocks 3Area B1 and 3Area B2.
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Link to the Dewberry lidar report for blocks B1, B2, B3.
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Link to the Dewberry lidar report for blocks BrazosBasin B1, BrazosBasin B2, BrazosBasin B3,BrazosBasin B4, BrazosBasin B5.
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Link to the Dewberry lidar report for block LavacaWharton.
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
-100.592104° W,
-93.923684° E,
34.096565° N,
27.81254° S
2017-01-07 - 2018-05-28
Item Identification
| Title: | 2017 - 2018 USGS FEMA Lidar DEM: Red River, TX |
|---|---|
| Short Name: | tx2017_red_rvr_dem_m13753 |
| Status: | Completed |
| Creation Date: | 2017 |
| Publication Date: | 2018 |
| Abstract: |
Original Product: These are Digital Elevation Model (DEM) data for TX Red River FEMA R6, as part of the required deliverables for the TX Red River FEMA R6 Lidar project. Class 2 (ground) lidar points in conjunction with the hydro breaklines were used to create a 1 meter hydro-flattened Raster DEM. Original Geographic Extent: TX Red River FEMA R6 covering approximately 29528 square miles. Original Dataset Description: TX Red River FEMA R6 Lidar project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.7 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 42187 individual 1500 m x 1500 m tiles, as tiled Intensity Imagery, and as tiled bare earth DEMs; all tiled to the same 1500 m x 1500 m schema. Ground Conditions: Lidar was collected in late 2017 to spring of 2018, 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, Prime Contractor, LLC established a total of 531 ground control points that were used to calibrate the lidar to known ground locations established throughout the TX Red River FEMA R6 project area. An additional 1088 independent accuracy checkpoints, 639 in Bare Earth and Urban landcovers (639 NVA points), 449 in Tall Grass and Brushland/Low Trees categories 449 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data. 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 1 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 = IMG Bit Depth/Pixel Type = 32-bit float Raster Cell Size = 1 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 > TEXAS
|
| Global Change Master Directory (GCMD) Location Keywords |
VERTICAL LOCATION > LAND SURFACE
|
Instrument Keywords
| Thesaurus | Keyword |
|---|---|
| Global Change Master Directory (GCMD) Instrument Keywords |
LIDAR > Light Detection and Ranging
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Platform Keywords
| Thesaurus | Keyword |
|---|---|
| Global Change Master Directory (GCMD) Platform Keywords |
Airplane > Airplane
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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: | FEMA; USGS; Dewberry |
Support Roles
Data Steward
| 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
| 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
| Date Effective From: | 2018 |
|---|---|
| Date Effective To: | |
| Contact (Organization): | U.S. Geological Survey |
| Address: |
12201 Sunrise Valley Drive Reston, VA 20191 USA |
| URL: | USGS Home |
Metadata Contact
| 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
| 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
| W° Bound: | -100.592104 | |
|---|---|---|
| E° Bound: | -93.923684 | |
| N° Bound: | 34.096565 | |
| S° Bound: | 27.81254 |
Extent Group 1 / Time Frame 1
| Time Frame Type: | Range |
|---|---|
| Start: | 2017-01-07 |
| End: | 2018-05-28 |
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
Coordinate Reference System |
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Reference System 2
Coordinate Reference System |
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Reference System 3
Coordinate Reference System |
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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
| Download URL: | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=13753/details/13753 |
|---|---|
| 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. |
| Distribution Format: | Not Applicable |
| Compression: | Zip |
Distribution 2
| Download URL: | https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/TX_Red_River_FEMA_R6_Lidar_2016_D17/ |
|---|---|
| Distributor: | U.S. Geological Survey (2018 - Present) |
| File Name: | Bulk Download |
| Distribution Format: | GeoTIFF |
URLs
URL 1
| 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 2
| URL: | https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/metadata/TX_Red_River_FEMA_R6_Lidar_2016_D17/ |
|---|---|
| Name: | USGS Additional Info |
| URL Type: |
Online Resource
|
| Description: |
Link to the reports, breaklines, metadata, and spatial metadata. |
URL 3
| URL: | https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/TX_Red_River_FEMA_R6_Lidar_2016_D17/TX_RedRiver_Atacosa_B2_2018/reports/Atascosa_Project_Report.pdf |
|---|---|
| Name: | Lidar Report - Atascosa B1, Atascosa B2 |
| URL Type: |
Online Resource
|
| File Resource Format: | |
| Description: |
Link to the Dewberry lidar report for blocks Atascosa B1 and Atascosa B2. |
URL 4
| URL: | https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/TX_Red_River_FEMA_R6_Lidar_2016_D17/TX_RedRiver_3Area_B2_2018/Reports/TX_Robertson_Freestone_Brazos_Lidar_Project_Report_20180412.pdf |
|---|---|
| Name: | Lidar Report - 3Area B1, 3Area B2 |
| URL Type: |
Online Resource
|
| File Resource Format: | |
| Description: |
Link to the Dewberry lidar report for blocks 3Area B1 and 3Area B2. |
URL 5
| URL: | https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/TX_Red_River_FEMA_R6_Lidar_2016_D17/TX_RedRiver_B3_2017/reports/TX_Red_River_Project_Report.pdf |
|---|---|
| Name: | Lidar Report - B1, B2, B2_TL, B3 |
| URL Type: |
Online Resource
|
| File Resource Format: | |
| Description: |
Link to the Dewberry lidar report for blocks B1, B2, B3. |
URL 6
| URL: | https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/TX_Red_River_FEMA_R6_Lidar_2016_D17/TX_RedRiver_BrazosBasin_B1_2017/reports/TX_Brazos_Basin_Project_Report_20181023.pdf |
|---|---|
| Name: | Lidar Report - BrazosBasin B1, BrazosBasin B2, BrazosBasin B3, BrazosBasin B4, BrazosBasin B5 |
| URL Type: |
Online Resource
|
| File Resource Format: | |
| Description: |
Link to the Dewberry lidar report for blocks BrazosBasin B1, BrazosBasin B2, BrazosBasin B3,BrazosBasin B4, BrazosBasin B5. |
URL 7
| URL: | https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/TX_Red_River_FEMA_R6_Lidar_2016_D17/TX_RedRiver_Lavaca_Wharton_2018/reports/20181025_Texas_Lavaca_Wharton_Topographic_Lidar_Project_Report.pdf |
|---|---|
| Name: | Lidar Report - LavacaWharton |
| URL Type: |
Online Resource
|
| File Resource Format: | |
| Description: |
Link to the Dewberry lidar report for block LavacaWharton. |
Technical Environment
| Description: |
Microsoft Windows 7 Enterprise Service Pack 1; ESRI ArcCatalog 10.4 |
|---|
Data Quality
| Horizontal Positional Accuracy: |
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. The values listed below are not statistically significant to report as final tested values, they are provided for the user's information. 3Areas B1, 3AreasB2 Eight checkpoints were determined to be photo-identifiable in the intensity imagery and were used to test the horizontal accuracy of the lidar dataset. As only eight (8) checkpoints were photo-identifiable, the results are not statistically significant enough to report as a final tested value, but the results of the testing indicate that the RMSEr = 40.8 cm. Atacosa B1, Atacosa B2 Six checkpoints were determined to be photo-identifiable in the intensity imagery and were used to test the horizontal accuracy of the lidar dataset. As only six (6) checkpoints were photo-identifiable, the results are not statistically significant enough to report as a final tested value, but the results of the testing indicate that the RMSEr = 56.7 cm. B1, B2, B2_TL, B3 Five checkpoints were determined to be photo-identifiable in the intensity imagery and were used to test the horizontal accuracy of the lidar dataset. As only five (5) checkpoints were photo-identifiable, the results are not statistically significant enough to report as a final tested value, but the results of the testing indicate that the RMSEr = 44.3 cm. BrazosBasin B1, BrazosBasin B2, BrazosBasin B3, BrazosBasin B4,BrazosBasin B5 Sixty-three checkpoints were determined to be photo-identifiable in the intensity imagery and were used to test the horizontal accuracy of the lidar dataset. Using this set of photo-identifiable checkpoints, positional accuracy of this dataset was found to be RMSEx = 35.8 cm and RMSEy = 36.4 cm which equates to 51 cm RMSEr or +/- 88.4 cm at 95% confidence level. Lavaca Wharton Four checkpoints were determined to be photo-identifiable in the intensity imagery and were used to test the horizontal accuracy of the lidar dataset. As only four (4) checkpoints were photo-identifiable, the results are not statistically significant enough to report as a final tested value, but the results of the testing indicate that the RMSEr = 55.7 cm. |
|---|---|
| Vertical Positional Accuracy: |
This DEM dataset was tested to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 10 cm RMSEz Vertical Accuracy Class. 3Areas B1, 3AreasB2 The same 159 checkpoints that were used to test the vertical accuracy of the lidar were used to validate the vertical accuracy of the final DEM products as well. Accuracy results may vary between the source lidar and final DEM deliverable. This DEM dataset was tested to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 10 cm RMSEz Vertical Accuracy Class. Actual NVA accuracy was found to be RMSEz =7.6 cm, equating to +/- 14.9 cm at 95% confidence level. Actual VVA accuracy was found to be +/- 25.5 cm at the 95th percentile. Atacosa B1, Atacosa B2 The same 224 checkpoints that were used to test the vertical accuracy of the lidar were used to validate the vertical accuracy of the final DEM products as well. Accuracy results may vary between the source lidar and final DEM deliverable. This DEM dataset was tested to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 10 cm RMSEz Vertical Accuracy Class. Actual NVA accuracy was found to be RMSEz =5.6 cm, equating to +/- 11.0 cm at 95% confidence level. Actual VVA accuracy was found to be +/- 10.8 cm at the 95th percentile. B1, B2, B2_TL, B3 The same 250 checkpoints that were used to test the vertical accuracy of the lidar were used to validate the vertical accuracy of the final DEM products as well. Accuracy results may vary between the source lidar and final DEM deliverable. This DEM dataset was tested to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 10 cm RMSEz Vertical Accuracy Class. Actual NVA accuracy was found to be RMSEz =5.2 cm, equating to +/- 10.2 cm at 95% confidence level. Actual VVA accuracy was found to be +/- 16 cm at the 95th percentile. BrazosBasin B1, BrazosBasin B2, BrazosBasin B3, BrazosBasin B4,BrazosBasin B5 The same 370 checkpoints that were used to test the vertical accuracy of the lidar were used to validate the vertical accuracy of the final DEM products as well. Accuracy results may vary between the source lidar and final DEM deliverable. This DEM dataset was tested to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 10 cm RMSEz Vertical Accuracy Class. Actual NVA accuracy was found to be RMSEz =9.5 cm, equating to +/- 18.6 cm at 95% confidence level. Actual VVA accuracy was found to be +/- 22.1 cm at the 95th percentile. Lavaca Wharton The same 85 checkpoints that were used to test the vertical accuracy of the lidar were used to validate the vertical accuracy of the final DEM products as well. Accuracy results may vary between the source lidar and final DEM deliverable. This DEM dataset was tested to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 10 cm RMSEz Vertical Accuracy Class. Actual NVA accuracy was found to be RMSEz =7.5 cm, equating to +/- 14.7 cm at 95% confidence level. Actual VVA accuracy was found to be +/- 19.5 cm at the 95th percentile. |
| 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-NC |
| 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. |
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 - 3Area B1
| 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/TX_Red_River_FEMA_R6_Lidar_2016_D17/TX_RedRiver_3Area_B1_2018/TIFF/ |
| Citation URL Name: | USGS AWS GeoTIFF Files for 3Area B1 |
USGS AWS GeoTIFF Files - 3Area B2
| 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/TX_Red_River_FEMA_R6_Lidar_2016_D17/TX_RedRiver_3Area_B2_2018/TIFF/ |
| Citation URL Name: | USGS AWS GeoTIFF Files for 3Area B2 |
USGS AWS GeoTIFF Files - Atacosa B1
| 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/TX_Red_River_FEMA_R6_Lidar_2016_D17/TX_RedRiver_Atacosa_B1_2018/TIFF/ |
| Citation URL Name: | USGS AWS GeoTIFF Files for Atacosa B1 |
USGS AWS GeoTIFF Files - Atacosa B2
| 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/TX_Red_River_FEMA_R6_Lidar_2016_D17/TX_RedRiver_Atacosa_B2_2018/TIFF/ |
| Citation URL Name: | USGS AWS GeoTIFF Files for Atacosa B2 |
USGS AWS GeoTIFF Files - B1
| 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/TX_Red_River_FEMA_R6_Lidar_2016_D17/TX_RedRiver_B1_2017/TIFF/ |
| Citation URL Name: | USGS AWS GeoTIFF Files for B1 |
USGS AWS GeoTIFF Files - B2
| 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/TX_Red_River_FEMA_R6_Lidar_2016_D17/TX_RedRiver_B2_2017/TIFF/ |
| Citation URL Name: | USGS AWS GeoTIFF Files for B2 |
USGS AWS GeoTIFF Files - B2_TL
| 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/TX_Red_River_FEMA_R6_Lidar_2016_D17/TX_RedRiver_B2_TL_2017/TIFF/ |
| Citation URL Name: | USGS AWS GeoTIFF Files for B2_TL |
USGS AWS GeoTIFF Files - B3
| 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/TX_Red_River_FEMA_R6_Lidar_2016_D17/TX_RedRiver_B3_2017/TIFF/ |
| Citation URL Name: | USGS AWS GeoTIFF Files for B3 |
USGS AWS GeoTIFF Files - Brazos Basin B1
| 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/TX_Red_River_FEMA_R6_Lidar_2016_D17/TX_RedRiver_BrazosBasin_B1_2017/TIFF/ |
| Citation URL Name: | USGS AWS GeoTIFF Files forBrazos Basin B1 |
USGS AWS GeoTIFF Files - Brazos Basin B2
| 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/TX_Red_River_FEMA_R6_Lidar_2016_D17/TX_RedRiver_BrazosBasin_B2_2017/TIFF/ |
| Citation URL Name: | USGS AWS GeoTIFF Files for Brazos Basin B2 |
USGS AWS GeoTIFF Files - Brazos Basin B3
| 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/TX_Red_River_FEMA_R6_Lidar_2016_D17/TX_RedRiver_BrazosBasin_B3_2017/TIFF/ |
| Citation URL Name: | USGS AWS GeoTIFF Files for Brazos Basin B3 |
USGS AWS GeoTIFF Files - Brazos Basin B4
| 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/TX_Red_River_FEMA_R6_Lidar_2016_D17/TX_RedRiver_BrazosBasin_B4_2017/TIFF/ |
| Citation URL Name: | USGS AWS GeoTIFF Files for Brazos Basin B4 |
USGS AWS GeoTIFF Files - Brazos Basin B5
| 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/TX_Red_River_FEMA_R6_Lidar_2016_D17/TX_RedRiver_BrazosBasin_B5_2017/TIFF/ |
| Citation URL Name: | USGS AWS GeoTIFF Files for Brazos Basin B5 |
USGS AWS GeoTIFF Files - Lavaca Wharton
| 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/TX_Red_River_FEMA_R6_Lidar_2016_D17/TX_RedRiver_Lavaca_Wharton_2018/TIFF/ |
| Citation URL Name: | USGS AWS GeoTIFF Files for Lavaca Wharton |
Process Steps
Process Step 1
| 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 Prime Contractor, LLC 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 7 cm RMSEz within individual swaths and less than or equal to 10 cm RMSEz 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 1.4, and breaklines were collected for water features. Bare earth DEMs were exported from the classified point cloud using collected breaklines for hydroflattening. |
|---|---|
| Process Date/Time: | 2017-03-01 00:00:00 |
Process Step 2
| 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 0.7 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. Prime Contractor, LLC 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: | 2018-05-15 00:00:00 |
Process Step 3
| Description: |
Intensity Image Generation Process: GeoCue software was used to create the deliverable Intensity Images. All overlap classes were ignored during this process. This helps to ensure a more aesthetically pleasing image. The GeoCue software was then used to verify full project coverage as well. TIF/TWF files were then provided as the deliverable for this dataset requirement. |
|---|---|
| Process Date/Time: | 2018-06-12 00:00:00 |
Process Step 4
| Description: |
Hydro Flattening Breakline Processing: Class 2 (ground) lidar points was used to create a bare earth surface model. The surface model was then used to heads-up digitize 2D breaklines of inland streams and rivers with a 100 foot nominal width and Inland Ponds and Lakes of 2 acres or greater surface area. Elevation values were assigned to all Inland Ponds and Lakes, Inland Pond and Lake Islands, Inland Stream and River Islands, using ArcMap functionality. Elevation values were assigned to all Inland streams and rivers using Prime Contractor, LLC proprietary software. All ground (ASPRS Class 2) lidar data inside of the collected inland breaklines were then classified to water (ASPRS Class 9) using TerraScan macro functionality. A buffer of 0.7 meters was also used around each hydro-flattened feature. These points were moved from ground (ASPRS Class 2) to Ignored Ground (ASPRS Class 10). The breakline files were then translated to ESRI File-Geodatabase format using ESRI conversion tools. Breaklines are reviewed against lidar intensity imagery to verify completeness of capture. All breaklines are then compared to TINs (triangular irregular networks) created from ground only points prior to water classification. The horizontal placement of breaklines is compared to terrain features and the breakline elevations are compared to lidar elevations to ensure all breaklines match the lidar within acceptable tolerances. Some deviation is expected between breakline and lidar elevations due to monotonicity, connectivity, and flattening rules that are enforced on the breaklines. Once completeness, horizontal placement, and vertical variance is reviewed, all breaklines are reviewed for topological consistency and data integrity using a combination of ESRI Data Reviewer tools and proprietary tools. |
|---|---|
| Process Date/Time: | 2018-10-30 00:00:00 |
Process Step 5
| Description: |
Hydro Flattened Raster DEM Process: Class 2 (ground) lidar points in conjunction with the hydro breaklines were used to create a 1 meter hydro-flattened Raster DEM. Using automated scripting routines within ArcMap, an ERDAS Imagine IMG 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: | 2018-11-05 00:00:00 |
Process Step 6
| 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/TX_Red_River_FEMA_R6_Lidar_2016_D17/TX_RedRiver_3Area_B1_2018/TIFF/ https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/TX_Red_River_FEMA_R6_Lidar_2016_D17/TX_RedRiver_3Area_B2_2018/TIFF/ https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/TX_Red_River_FEMA_R6_Lidar_2016_D17/TX_RedRiver_Atacosa_B1_2018/TIFF/ https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/TX_Red_River_FEMA_R6_Lidar_2016_D17/TX_RedRiver_Atacosa_B2_2018/TIFF/ https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/TX_Red_River_FEMA_R6_Lidar_2016_D17/TX_RedRiver_B1_2017/TIFF/ https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/TX_Red_River_FEMA_R6_Lidar_2016_D17/TX_RedRiver_B2_2017/TIFF/ https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/TX_Red_River_FEMA_R6_Lidar_2016_D17/TX_RedRiver_B2_TL_2017/TIFF/ https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/TX_Red_River_FEMA_R6_Lidar_2016_D17/TX_RedRiver_B3_2017/TIFF/ https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/TX_Red_River_FEMA_R6_Lidar_2016_D17/TX_RedRiver_BrazosBasin_B1_2017/TIFF/ https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/TX_Red_River_FEMA_R6_Lidar_2016_D17/TX_RedRiver_BrazosBasin_B2_2017/TIFF/ https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/TX_Red_River_FEMA_R6_Lidar_2016_D17/TX_RedRiver_BrazosBasin_B3_2017/TIFF/ https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/TX_Red_River_FEMA_R6_Lidar_2016_D17/TX_RedRiver_BrazosBasin_B4_2017/TIFF/ https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/TX_Red_River_FEMA_R6_Lidar_2016_D17/TX_RedRiver_BrazosBasin_B5_2017/TIFF/ https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/TX_Red_River_FEMA_R6_Lidar_2016_D17/TX_RedRiver_Lavaca_Wharton_2018/TIFF/ |
|---|---|
| Process Date/Time: | 2025-10-31 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 |
2017-2018 USGS FEMA Lidar: Red River, TX |
Catalog Details
| Catalog Item ID: | 78479 |
|---|---|
| GUID: | gov.noaa.nmfs.inport:78479 |
| Metadata Record Created By: | Rebecca Mataosky |
| Metadata Record Created: | 2025-10-28 20:42+0000 |
| Metadata Record Last Modified By: | Rebecca Mataosky |
| Metadata Record Last Modified: | 2025-11-03 18:11+0000 |
| Metadata Record Published: | 2025-11-03 |
| Owner Org: | OCMP |
| Metadata Publication Status: | Published Externally |
| Do Not Publish?: | N |
| Metadata Last Review Date: | 2024-01-04 |
| Metadata Review Frequency: | 3 Years |
| Metadata Next Review Date: | 2027-01-04 |