gov.noaa.nmfs.inport:49766
eng
UTF8
dataset
Elevation
OCM Partners
resourceProvider
NOAA Office for Coastal Management
(843) 740-1202
2234 South Hobson Ave
Charleston
SC
29405-2413
coastal.info@noaa.gov
https://coast.noaa.gov
WWW:LINK-1.0-http--link
NOAA Office for Coastal Management Website
NOAA Office for Coastal Management Home Page
information
pointOfContact
2024-02-29T00:00:00
ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data
ISO 19115-2:2009(E)
NAD83(2011)
2008-11-12
publication
European Petroleum Survey Group
https://apps.epsg.org/api/v1/CoordRefSystem/6318/export/?format=gml
urn:ogc:def:crs:EPSG:6318
6.18.3
North American Vertical Datum of 1988 (NAVD88) (GEOID18) meters
North American Vertical Datum of 1988 (NAVD88) (GEOID18) meters
https://apps.epsg.org/api/v1/VerticalCoordRefSystem/5703/?api_key=gml
North American Vertical Datum of 1988 (NAVD88) (GEOID18) meters
Link to Geographic Markup Language (GML) description of reference system.
information
resourceProvider
European Petroleum Survey Group
https://www.epsg.org/
European Petroleum Survey Group Geodetic Parameter Registry
Registry that accesses the EPSG Geodetic Parameter Dataset, which is a structured dataset of Coordinate Reference Systems and Coordinate Transformations.
search
publisher
vertical
OGP
2006-11-28
false
urn:ogc:def:cs:EPSG::6499
Vertical CS. Axis: height (H). Orientation: up. UoM: meter.
Used in vertical coordinate reference systems.
urn:ogc:def:axis:EPSG::114
H
up
urn:ogc:def:crs:EPSG::5703
2013 USGS Lidar: Jean Lafitte and Barataria, LA
la2013_jl_barataria_m4746_metadata
2015-02
publication
NOAA/NMFS/EDM
49766
https://www.fisheries.noaa.gov/inport/item/49766
WWW:LINK-1.0-http--link
Full Metadata Record
View the complete metadata record on InPort for more information about this dataset.
information
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4746/breaklines/
WWW:LINK-1.0-http--link
Citation URL
Link to download the breaklines.
download
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4746/supplemental/la2013_usgs_jeanlafitte_m4746_surveyreport.pdf
WWW:LINK-1.0-http--link
Citation URL
Link to the Project Report.
download
https://coast.noaa.gov
WWW:LINK-1.0-http--link
Citation URL
Online Resource
download
https://coast.noaa.gov/dataviewer
WWW:LINK-1.0-http--link
Citation URL
Online Resource
download
Digital Aerial Solutions, LLC (DAS) was tasked to collect and process a Light Detection And Ranging (LiDAR) derived elevation dataset for Jean Lafitte and Barataria area located in South of New Orleans, Louisiana. The Jean Lafitte LiDAR survey encompasses 77 square miles and Barataria LiDAR survey encompasses approximately 1408 square miles. Aerial LiDAR data was collected utilizing an ALS60 Sensor. The ALS60 is a discrete return topographic LiDAR mapping system manufactured by Leica Geosystems. LiDAR data collected for the Jean Lafitte survey area has a nominal pulse spacing of 1m and Barataria has a nominal pulse spacing of 2 meters, and includes up to 4 discrete returns per pulse, along with intensity values for each return. The acquisition mission for the Jean Lafitte and Barataria LiDAR survey was coordinated to be acquired in 1 week. Collection began on March 5th 2013 and was completed on March 8th, 2013.
LiDAR datasets were post processed to generate elevation point cloud swaths for each flight line. Deliverables include the point cloud swaths, tiled point clouds classified by land cover type, breaklines to support hydro-flattening of digital elevation models (DEM)s, and bare-earth DEM tiles. Point cloud deliverables are stored in the LAS version 1.2 format, point data record format 1. The tiling scheme for tiled deliverables is a 1500 meter x 1500 meter grid aligned and named according the US National Grid conventions. All deliverables were generated in conformance with the U.S. Geological Survey National Geospatial Program Guidelines and Base Specifications, Version 1.
The NOAA Office for Coastal Management (OCM) downloaded 125 LA_Jean-Lafitte_2013/ laz files and 1791 USGS_LPC_LA_Barataria_2013_LAS_2015/ laz files from this USGS site: ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/ and processed the data to the Data Access Viewer (DAV) and https. The two project areas were downloaded and processed at different times.
Hydro breaklines are also available. These data are available for download at the link provided in the URL section of this metadata record. Please note that these products have not been reviewed by the NOAA Office for Coastal Management (OCM) and any conclusions drawn from the analysis of this information are not the responsibility of NOAA or OCM.
This data set is an LAZ (compressed LAS) format file containing LIDAR point cloud data.
Undetermined
Digital Aerial Solutions, LLC; USGS
The custom download may be cited as National Oceanic and Atmospheric Administration (NOAA) Digital Coast Data Access Viewer. Charleston, SC: NOAA Office for Coastal Management. Accessed Mar 01, 2024 at https://coast.noaa.gov/dataviewer.
completed
NOAA Office for Coastal Management
(843) 740-1202
2234 South Hobson Ave
Charleston
SC
29405-2413
coastal.info@noaa.gov
https://coast.noaa.gov
WWW:LINK-1.0-http--link
NOAA Office for Coastal Management Website
NOAA Office for Coastal Management Home Page
information
pointOfContact
NOAA Office for Coastal Management
(843) 740-1202
2234 South Hobson Ave
Charleston
SC
29405-2413
coastal.info@noaa.gov
https://coast.noaa.gov
WWW:LINK-1.0-http--link
NOAA Office for Coastal Management Website
NOAA Office for Coastal Management Home Page
information
custodian
unknown
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4746/supplemental/la2013_jl_bara_m4746.kmz
This graphic shows the coverage of the 2013 USGS Louisiana Lidar collection for the Jean Lafitte and Barataria project areas.
kmz
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
theme
Global Change Master Directory (GCMD) Science Keywords
17.0
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > LOUISIANA
VERTICAL LOCATION > LAND SURFACE
place
Global Change Master Directory (GCMD) Location Keywords
17.0
LIDAR > Light Detection and Ranging
instrument
Global Change Master Directory (GCMD) Instrument Keywords
17.2
Airplane > Airplane
DEM > Digital Elevation Model
platform
Global Change Master Directory (GCMD) Platform Keywords
17.2
Ground
Terrain
theme
2013
March
temporal
Lidar - partner (no harvest)
project
InPort
otherRestrictions
Cite As: OCM Partners, [Date of Access]: 2013 USGS Lidar: Jean Lafitte and Barataria, LA [Data Date Range], https://www.fisheries.noaa.gov/inport/item/49766.
NOAA provides no warranty, nor accepts any liability occurring from any incomplete, incorrect, or misleading data, or from any incorrect, incomplete, or misleading use of the data. It is the responsibility of the user to determine whether or not the data is suitable for the intended purpose.
otherRestrictions
Access Constraints: None
otherRestrictions
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. These data depict the heights at the time of the survey and are only accurate for that time.
otherRestrictions
Distribution Liability: Any conclusions drawn from the analysis of this information are not the responsibility of Digital Aerial Solutions, USGS, NOAA, the Office for Coastal Management or its partners.
unclassified
NOAA Data Management Plan (DMP)
NOAA/NMFS/EDM
49766
https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/49766.pdf
WWW:LINK-1.0-http--link
NOAA Data Management Plan (DMP)
NOAA Data Management Plan for this record on InPort.
information
crossReference
vector
eng; US
elevation
-90.376756
-89.318443
29.079681
29.886015
Jean Lafitte area collection date | Currentness: Ground Condition
2013-03-05
Barataria area collection date | Currentness: Ground Condition
2013-03-06
2013-03-08
false
eng
false
none
NOAA Office for Coastal Management
(843) 740-1202
2234 South Hobson Ave
Charleston
SC
29405-2413
coastal.info@noaa.gov
https://coast.noaa.gov
WWW:LINK-1.0-http--link
NOAA Office for Coastal Management Website
NOAA Office for Coastal Management Home Page
information
distributor
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=4746
WWW:LINK-1.0-http--link
Customized Download
Create custom data files by choosing data area, product type, map projection, file format, datum, etc.
download
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4746/index.html
WWW:LINK-1.0-http--link
Bulk Download
Simple download of data files.
download
dataset
Horizontal Positional Accuracy
There is not a systematic method of testing when testing horizontal accuracy in LiDAR. However this is tested during calibration of the sensor and is rechecked during the comparing of parallel and perpendicular flight lines. Additionally the horizontal accuracy is checked by collecting building corners during the survey. Lines are then digitized representing the building outline and the differences are measure from each individual survey point to the corner of the building outline. Stats are calculated to ensure horizontal tolerances are met. These measurements resulted in an RMSE of 0.42 meters equals a 0.73 meter horizontal accuracy at the 95 % confidence level. Accuracy defined by NSSDA at the 95 % confidence level would be multiplier by 1.7308 times the RMSE.
Vertical Positional Accuracy
Absolute vertical accuracy assessments for the point cloud data are made against ground check point data. For the Jean Lafitte and Barataria surveys, ground check point data consisted of the ground GPS base station and real-time kinematic (RTK) GPS techniques.
Check point locations were collected at 1 - second intervals during the RTK survey. Points collected during the static pre-initialization and post-initialization were removed from the assessment so as not to bias the assessment.
The accuracy assessment was performed using the NSSDA standard method to compute the root mean square error (RMSE) based on a comparison of ground control points (GCP) and filtered LiDAR data points. Filtered LiDAR data has had vegetation and cultural features removed and by analysis represent bare earth elevations. Testing was performed prior to gridding of the filtered LiDAR data points and construction of the 32-bit geotiff format bare earth tiles. The RMSEz figure was used to compute the vertical National Standard for Spatial Data Accuracy (NSSDA). A spatial proximity analysis was used to select edited LiDAR data points contiguous to the relevant GCPs. A search radius decision rule is applied with consideration of terrain complexity, cumulative error and adequate sample size.
Local TIN models of the elevation points are built around each ground check points. The tin model elevation is sampled at the horizontal position of the ground check point. The TIN model elevation and ground check point survey elevation values were used to calculate the fundamental vertical accuracy (FVA) of the swath point clouds as described in NDEP Elevation Guidelines Version 1. The swath FVA of the calibrated LAS TIN tested RMSEz 0.062 meters and 0.122 meters at the 95% confidence level in open terrain.
Completeness Report
Ground Truth data was collected of the three major vegetative cover classes and "urban" dispersed within the area of interest. Land cover categories; urban, forested fully grown, brush lands represents less than 10% of the project land cover class in this project so a minimum 20 points in each categories could not be collected; however, a total 110 points were collected in all of the four classes. Points collected in forested and fully grown were collected with a Total Station. Pair of points was surveyed using the Trimble VRS network once completed the total station is used to collect the high vegetation ground class. A Topcon 7000 total station was used to collect all the shots collected in the high vegetation class, due to the limited GPS signal when working in and around tree canopy.
Conceptual Consistency
The GPS survey was tied into the Trimble VRS Now Network located in Louisiana. The Trimble VRS Now network is a network of continuously operating GPS reference stations that provides Real Time Kinematic (RTK) capabilities within a Real Time Network (RTN). This allows corrections to be applied to the points as they are being collected, eliminating the need for an adjustment. Several existing control monuments listed in the NSRS database were used as checks within the Trimble VRS Now Network. This confirmed network accuracies were being met during the field survey as well as providing a redundancy check on the Trimble VRSnetwork. The Specified local network accuracy of 5cm at the 95% confidence level was met or exceeded. Data analysis was accomplished by comparing ground truth checkpoints with LIDAR points from the edited data set, which were within 3.3 feet horizontally from the ground truth points. Based on the number of returns and the density of points in this project, it was not necessary to compare to anything further away than 3.3 feet horizontally from the ground truth points. Note that the edited LIDAR points are simply a subset of the raw LIDAR points. The points that fell above the ground surface on vegetation canopies, buildings, or other obstructions were removed from the data set. Comparisons were also made between the survey points and the LIDAR derived terrain surface. These comparisons provide an additional verification of the LIDAR data against the survey data.
The ABGPS, inertial measurement unit (IMU), and raw scans are collected during the LiDAR aerial survey. The ABGPS monitors the xyz position of the sensor and the IMU monitors the orientation. During the aerial survey, laser pulses reflected from features on the ground surface are detected by the receiver optics and collected by the data logger. GPS locations are based on data collected by receivers on the aircraft and base stations on the ground. The ground base stations are placed no more than 40 km radius from the flight survey area.
2013-03-07T00:00:00
The ABGPS, IMU, and raw scans are integrated using proprietary software developed by Leica Geosystems called IPAS Pro (Version 1.35). These LiDAR data are then output to a ASPRS Version 1.2 LAS binary format using Leica Geosystems ALSPP post-processing software (Release 2.74 Build #9 ) The LAS version 1.2 file format can be easily transferred from one file format to another. It is a binary file format that maintains information specific to the LiDAR data (return number, intensity value, xyz, etc.). The header file for each dataset is complete as defined by the LAS 1.2 specification.
2013-03-25T00:00:00
The unedited data are classified to facilitate the application of the appropriate feature extraction filters. Combinations of proprietary filters are applied as appropriate for the production of bare earth digital elevation models (DEMs). Interactive editing methods are applied to those areas where it is inappropriate or impossible to use the feature extraction filters, based upon the design criteria and/or limitations of the relevant filters. These same feature extraction filters are used to produce elevation height surfaces.
2013-06-20T00:00:00
Filtered and edited data are subjected to rigorous QA/QC, A series of quantitative and visual procedures are employed to validate the accuracy and consistency of the filtered and edited data. Ground control is established by DAS and GPS-derived ground control points (GCPs) in various areas of dominant and prescribed land cover. These points are coded according to land cover, surface material, and ground control suitability. A suitable number of points are selected for calculation of a statistically significant accuracy assessment, as per the requirements of the National Standard for Spatial Data Accuracy. A spatial proximity analysis is used to select edited LiDAR data points within a specified distance of the relevant GCPs. A search radius decision rule is applied with consideration of terrain complexity, cumulative error, and adequate sample size. Accuracy validation and evaluation is accomplished using proprietary software to apply relevant statistical routines for calculation of Root Mean Square Error (RMSE) and the National Standard for Spatial Data Accuracy (NSSDA), according to Federal Geographic Data Committee (FGDC) specifications.
2013-07-08T00:00:00
The NOAA Office for Coastal Management (OCM) downloaded the laz format files for the Jean Lafitte project area from USGS via an FTP online repository. The files contained lidar elevation and intensity measurements. The data were in UTM Zone 15, NAVD88 (orthometric) heights in meters. OCM performed the following processing for data storage and Digital Coast provisioning purposes:
1. The data were converted from UTM coordinates to geographic coordinates.
2. The data were converted from NAVD88 (orthometric) heights in meters to GRS80 (ellipsoid) heights in meters using Geoid 09.
3. Erroneous elevations were removed.
4. Class 11 points (withheld) were reclassed to Class 15 (as needed).
5. The LAS data were sorted by latitude and the headers were updated.
2015-01-26T00:00:00
The NOAA Office for Coastal Management (OCM) downloaded 1791 USGS_LPC_LA_Barataria_2013_LAS_2015/ laz files from this USGS site: ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/USGS_LPC_LA_Barataria_2013_LAS_2015/. The data were in UTM Zone 15 North coordinates and NAVD88 (Geoid09) elevations in meters. The data were classified as: 1 - Unclassified, 2 - Ground, 7 - Low Noise, 9 - Water, 10 - Ignored Ground, 17 - Overlap Ground, 18 - Overlap Default. OCM processed all classifications of points to the Digital Coast Data Access Viewer (DAV). Classes 17 and 18 for the entire project area were switched to match the USGS classification guidelines for overlap default (Class 17) and overlap ground (Class 18). Classes available on the DAV are: 1, 2, 7, 9, 10, 17, 18.
OCM performed the following processing on the data for Digital Coast storage and provisioning purposes:
1. The LAStools software scripts lasinfo and lasvalidate were run on the laz files to check for errors.
2. An internal OCM script was run to check the number of points by classification and by flight ID and the gps and intensity ranges.
3. The LAStools software script las2las was run to convert the gps time from gps seconds of the week (week 1730) to adjusted gps time.
4. The LAStools software script las2las was run on the files for the entire project area to switch the classifications of points that were classified as 17 to 18 and those that were classified as 18 to 17 to match the USGS classification guidelines for overlap default (Class 17) and overlap ground (Class 18).
5. Internal OCM scripts were run on the laz files to convert from orthometric (NAVD88) elevations to ellipsoid elevations using the Geoid 09 model, to convert from UTM Zone 15 North 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.
2018-10-05T00:00:00
Office for Coastal Management
processor
The vertical values in this data set have been converted to reference North American Vertical Datum of 1988 (NAVD88) (GEOID18) meters, using the GEOID18 grids provided by the National Geodetic Survey.
Any datum and projection transformations were then done with the Office for Coastal Management 'datum_shift' program. Compression to an LAZ file was done with the LAStools 'laszip' program and can be unzipped with the same free program (laszip.org)
Processing notes:
2024-03-01T06:53:29
NOAA Office for Coastal Management
coastal.info@noaa.gov
processor