2017 TNRIS Lidar: Jefferson, Liberty and Chambers, TX (West)
Data Set (DS) | OCM Partners (OCMP)GUID: gov.noaa.nmfs.inport:59067 | Updated: October 17, 2023 | Published / External
Summary
Short Citation
OCM Partners, 2024: 2017 TNRIS Lidar: Jefferson, Liberty and Chambers, TX (West), https://www.fisheries.noaa.gov/inport/item/59067.
Full Citation Examples
This metadata record describes the classified point cloud for the 2017 Texas Coastal LiDAR project spanning one of two areas of interest (AOIs). The Western Block AOI covers approximately 289 square miles, including the cities of Liberty, Hankamer, and Anahuac in southeast Texas. This AOI was collected to meet the density of 8 points per meter.
The Eastern Block covers approximately 841 square miles, including the cities of Beaumont, Port Arthur, and Nederland in southeast Texas. The AOI was collected to meet the density of 4 points per meter. Total area covers equals approximately 1.130 square miles.
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)
Distribution Information
-
Create custom data files by choosing data area, product type, map projection, file format, datum, etc. A new metadata will be produced to reflect your request using this record as a base. Change to an orthometric vertical datum is one of the many options.
-
LAS/LAZ - LASer
Bulk download of data files in LAZ format, geographic coordinates, orthometric heights. Note that the vertical datum (hence elevations) of the files here are different than described in this document. They will be in an orthometric datum.
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be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions.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
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
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
-94.917° W,
-94.5768° E,
30.1° N,
29.597° S
2017-02-22 - 2017-03-04
Lidar acquisition dates
Item Identification
Title: | 2017 TNRIS Lidar: Jefferson, Liberty and Chambers, TX (West) |
---|---|
Status: | Completed |
Publication Date: | 2017 |
Abstract: |
This metadata record describes the classified point cloud for the 2017 Texas Coastal LiDAR project spanning one of two areas of interest (AOIs). The Western Block AOI covers approximately 289 square miles, including the cities of Liberty, Hankamer, and Anahuac in southeast Texas. This AOI was collected to meet the density of 8 points per meter. The Eastern Block covers approximately 841 square miles, including the cities of Beaumont, Port Arthur, and Nederland in southeast Texas. The AOI was collected to meet the density of 4 points per meter. Total area covers equals approximately 1.130 square miles. 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) |
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
The following are the USGS lidar fields in JSON: {
"ldrinfo" : {
"ldrspec" : " TNRIS-USGS ", "ldrsens" : " Leica ALS70 ", "ldrmaxnr" : " 7 ", "ldrnps" : " 0.5 ", "ldrdens" : " 4 ", "ldradens" : " 4 ", "ldranps" : " 0.5 ", "ldrfltht" : " 1600 ", "ldrfltsp" : " 130 ", "ldrscana" : " 20 ", "ldrscanr" : " 53.4 ", "ldrpulsr" : " 339 ", "ldrpulsd" : " 10 ", "ldrpulsw" : " 0.49 ", "ldrwavel" : " 1064 ", "ldrmpia" : " 1 ", "ldrbmdiv" : " 0.3 ", "ldrswatw" : " 1160 ", "ldrswato" : " 30 ", "ldrcrs" : " NAD_1983_2011_UTM_Zone_15N ", "ldrgeoid" : " NAVD88 - Geoid12B (Meters) " }, "ldraccur" : {
"ldrchacc" : " 0.241 ", "rawnva" : " 0.196 ", "rawnvan" : " 55 ", "clsnva" : " 0.202 ", "clsnvan" : " 55 ", "clsvva" : " 0.289 ", "clsvvan" : " 43 " }, "lasinfo" : {
"lasver" : " 1.4 ", "lasprf" : " 6 ", "laswheld" : " Withheld points were identified in these files with the withheld flag ", "lasolap" : " Overlap points were identified in these files with the overlap flag ", "lasintr" : " 16 ", "lasclass" : {
"clascode" : " 1 ", "clasitem" : " Unclassified " }, "lasclass" : {
"clascode" : " 2 ", "clasitem" : " Bare earth " }, "lasclass" : {
"clascode" : " 3 ", "clasitem" : " Low vegetation " }, "lasclass" : {
"clascode" : " 4 ", "clasitem" : " Medium vegetation " }, "lasclass" : {
"clascode" : " 5 ", "clasitem" : " High vegetation " }, "lasclass" : {
"clascode" : " 6 ", "clasitem" : " Building " }, "lasclass" : {
"clascode" : " 7 ", "clasitem" : " Noise " }, "lasclass" : {
"clascode" : " 9 ", "clasitem" : " Water " }, "lasclass" : {
"clascode" : " 10 ", "clasitem" : " Ignored Ground (Breakline Proximity) " }, "lasclass" : {
"clascode" : " 13 ", "clasitem" : " Bridges " }, "lasclass" : {
"clascode" : " 14 ", "clasitem" : " Culverts " } }} |
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 |
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City: | Charleston |
State/Province: | SC |
Data Set Information
Data Set Scope Code: | Data Set |
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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
Date Effective From: | 2020 |
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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: | 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
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
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 |
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Extent Group 1
Extent Group 1 / Geographic Area 1
W° Bound: | -94.917 | |
---|---|---|
E° Bound: | -94.5768 | |
N° Bound: | 30.1 | |
S° Bound: | 29.597 |
Extent Group 1 / Time Frame 1
Time Frame Type: | Range |
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Start: | 2017-02-22 |
End: | 2017-03-04 |
Description: |
Lidar acquisition dates |
Spatial Information
Spatial Resolution
Horizontal Distance: | 0.2 Meter |
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Spatial Representation
Representations Used
Grid: | No |
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Vector: | Yes |
Text / Table: | No |
TIN: | No |
Stereo Model: | No |
Video: | No |
Vector Representation 1
Point Object Present?: | Yes |
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Point Object Count: | 28458046617 |
Access Information
Security Class: | Unclassified |
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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
Start Date: | 2020-03-04 |
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End Date: | Present |
Download URL: | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9063 |
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. A new metadata will be produced to reflect your request using this record as a base. Change to an orthometric vertical datum is one of the many options. |
File Type (Deprecated): | Zip |
Compression: | Zip |
Distribution 2
Start Date: | 2020-03-04 |
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End Date: | Present |
Download URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9063/index.html |
Distributor: | NOAA Office for Coastal Management (NOAA/OCM) (2020 - Present) |
File Name: | Bulk Download |
Description: |
Bulk download of data files in LAZ format, geographic coordinates, orthometric heights. Note that the vertical datum (hence elevations) of the files here are different than described in this document. They will be in an orthometric datum. |
File Type (Deprecated): | LAZ |
Distribution Format: | LAS/LAZ - LASer |
Compression: | Zip |
URLs
URL 1
URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9040/supplemental/extent_2018_tx_jeff_lib_cham_m9040.kmz |
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Name: | Browse graphic |
URL Type: |
Browse Graphic
|
File Resource Format: | KML |
Description: |
This graphic displays the footprint for this lidar data set. |
URL 2
URL: | https://coast.noaa.gov/dataviewer/ |
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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
URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9040/supplemental/580-17-SOW0039_LiDAR_CoastalTexas_GroundControl_SurveyReport.pdf |
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Name: | Dataset report |
URL Type: |
Online Resource
|
File Resource Format: | |
Description: |
Link to data set report. |
URL 4
URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9040/supplemental/580170040_FinalQAQCReport_20180404.pdf |
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Name: | Dataset report |
URL Type: |
Online Resource
|
File Resource Format: | |
Description: |
Link to data set report. |
URL 5
URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9040/supplemental/SM580170040_CheckpointSurveyReportDeliverable_20170417.pdf |
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Name: | Dataset report |
URL Type: |
Online Resource
|
File Resource Format: | |
Description: |
Link to data set report. |
URL 6
URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9040/supplemental/TX_Coastal_Acq_Parameters.pdf |
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Name: | Dataset report |
URL Type: |
Online Resource
|
File Resource Format: | |
Description: |
Link to data set report. |
Technical Environment
Description: |
Microsoft Windows 7; ESRI ArcCatalog 9.3.1.1850 |
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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. |
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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 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. Note: The overall NVA accuracy for the entire dataset is RMSEz = 9.992, when both AOIs are averaged. (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.) |
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 |
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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
Contact Role Type: | Originator |
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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
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
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
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
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
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
Description: |
8PPM LiDAR data was collected over the West 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 March 15th and March 23rd, 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. |
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Process Date/Time: | 2017-01-01 00:00:00 |
Source: | LiDAR Data |
Process Step 2
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. |
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Process Date/Time: | 2017-01-01 00:00:00 |
Process Step 3
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. |
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Process Date/Time: | 2017-01-01 00:00:00 |
Process Step 4
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. |
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Process Date/Time: | 2017-01-01 00:00:00 |
Process Step 5
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 |
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Process Date/Time: | 2017-01-01 00:00:00 |
Process Step 6
Description: |
The NOAA Office for Coastal Management (OCM) retrieved 1,130 laz files from the Texas Natural Resources Information System (TNRIS.org). The files were in UTM 15N NAD83 (2011) meters horizontally, and NAVD88 Geoid12b meters vertically. OCM segregated the Western and Eastern portions and processed them as separate datasets for provisioning. 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. |
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Process Contact: | Office for Coastal Management (OCM) |
Related Items
Item Type | Relationship Type | Title |
---|---|---|
Data Set (DS) | Cross Reference |
2017 TNRIS Lidar: Jefferson, Liberty and Chambers, TX (East) Eastern Block AOI Metadata record. |
Catalog Details
Catalog Item ID: | 59067 |
---|---|
GUID: | gov.noaa.nmfs.inport:59067 |
Metadata Record Created By: | Blake Waring |
Metadata Record Created: | 2020-03-18 13:28+0000 |
Metadata Record Last Modified By: | SysAdmin InPortAdmin |
Metadata Record Last Modified: | 2023-10-17 16:12+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 |