58977
2017 TNRIS Lidar: Jefferson, Liberty and Chambers, TX (East)
Data Set
Published / External
49401
Lidar - partner (no harvest)
Project
Completed
2017
This metadata record describes the classified point cloud for the 2017 Texas Coastal LiDAR project spanning one of two areas of interest (AOIs). 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.
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. Total area covers equals approximately 1.130 square miles. The metadata record for the Western block is available in the 'Related Items' section, below.
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)
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.
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
"
}
}}
Theme
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
Theme
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > BATHYMETRY > COASTAL BATHYMETRY
Theme
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
Theme
ISO 19115 Topic Category
elevation
Spatial
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
Spatial
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > TEXAS
Spatial
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > LAND SURFACE
Spatial
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > SEA FLOOR
Instrument
Global Change Master Directory (GCMD) Instrument Keywords
LIDAR > Light Detection and Ranging
Platform
Global Change Master Directory (GCMD) Platform Keywords
Airplane > Airplane
Spatial
Global Change Master Directory (GCMD) Location Keywords
Continent > North America > United States Of America > Southeast
Spatial
Global Change Master Directory (GCMD) Location Keywords
Continent > North America > United States Of America > U.S. Coastline
Office for Coastal Management
Charleston
SC
Data Set
Elevation
Unknown
Model (digital)
USGS Base Specification 1.2
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
State of Texas
Data Steward
2020
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Distributor
2020
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Metadata Contact
2020
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Point of Contact
2020
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Ground Condition
-94.444
-93.768
30.1
29.597
Range
2017-02-22
2017-03-04
Lidar acquisition dates
.2
Meter
No
Yes
No
No
No
Yes
28458046617
Unclassified
Data is available online for bulk or custom downloads
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.
2020-03-04
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9040
2020
Organization
NOAA Office for Coastal Management
Customized Download
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.
Zip
Zip
2020-03-04
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9040/index.html
2020
Organization
NOAA Office for Coastal Management
Bulk Download
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.
LAZ
LAS/LAZ - LASer
Zip
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9040/supplemental/extent_2018_tx_jeff_lib_cham_m9040.kmz
Browse graphic
Browse Graphic
KML
This graphic displays the footprint for this lidar data set.
https://coast.noaa.gov/dataviewer/
NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV)
Online Resource
HTML
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.
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9040/supplemental/580-17-SOW0039_LiDAR_CoastalTexas_GroundControl_SurveyReport.pdf
Dataset report
Online Resource
PDF
Link to data set report.
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9040/supplemental/580170040_FinalQAQCReport_20180404.pdf
Dataset report
Online Resource
PDF
Link to data set report.
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9040/supplemental/SM580170040_CheckpointSurveyReportDeliverable_20170417.pdf
Dataset report
Online Resource
PDF
Link to data set report.
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9040/supplemental/TX_Coastal_Acq_Parameters.pdf
Dataset report
Online Resource
PDF
Link to data set report.
Microsoft Windows 7; ESRI ArcCatalog 9.3.1.1850
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.
This data set was tested to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 10 cm RMSEz Vertical Accuracy Class.
The Eastern Block actual NVA accuracy was found to be RMSEz = 10.3 cm, equating to +/- 20.2 cm at 95% confidence level. Actual VVA accuracy was found to be +/- 28.9 cm at the 95th percentile.
Note: The overall NVA accuracy for the entire dataset is RMSEz = 9.992, once Eastern and Western values are averaged.
(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.)
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.
LiDAR data is collected within the project area and processed. Control points were used during calibration to verify accuracy.
Yes
Unknown
Yes
NCEI-CO
Data is backed up to tape and to cloud storage.
Classified lidar
Organization
Sanborn Map Company Inc.
Originator
Discrete
2017
1200
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
Organization
Sanborn Map Company Inc.
Originator
2017-01-01
Discrete
2017
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
Organization
Sanborn Map Company Inc.
Originator
Discrete
2017
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
Organization
Sanborn Map Company Inc.
Originator
Discrete
2017
1200
Post processed GPS/INS is applied to the lidar point data to georeference each point in the project coordinate system
Post processed lidar
Organization
Sanborn Map Company Inc.
Originator
Discrete
2017
1200
The post processed lidar data has been projected and oriented in the specified coordinate system as an un-classified point cloud.
Tile Definition
Organization
Sanborn Map Company Inc.
Originator
Discrete
2017
1200
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.
1
Using a Leica Light Detection And Ranging (LiDAR) system, 4PPM LiDAR data was collected over the East Texas AOI. Multiple returns were recorded for each laser pulse along with an intensity value for each return. The data acquisition occurred in ten missions between February 22nd and March 4th, 2017. During the LIDAR campaign, the Sanborn field crew conducted a GPS field survey to establish final coordinates of the ground base stations for final processing of the base-remote GPS solutions.
2017-01-01T00:00:00
LiDAR Data
2
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.
2017-01-01T00:00:00
3
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.
2017-01-01T00:00:00
4
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.
2017-01-01T00:00:00
5
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
2017-01-01T00:00:00
6
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.
Organization
Office for Coastal Management
OCM
2234 South Hobson Avenue
Charleston
SC
29405-2413
https://www.coast.noaa.gov/
59067
Data Set
2017 TNRIS Lidar: Jefferson, Liberty and Chambers, TX (West)
Cross Reference
Western Block AOI metadata record.
gov.noaa.nmfs.inport:58977
Blake Waring
2020-03-04T08:32:43
SysAdmin InPortAdmin
2023-10-17T16:12:20
2022-03-16
OCM Partners
OCMP
1002
Public
No
2022-03-16
1 Year
2023-03-16