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2015 Univ of Texas BEG Topobathy Lidar: Lower Texas Coast
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      DateTime:  2023-05-30T18:10:31
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    identificationInfo:  (MD_DataIdentification)
        citation:  (CI_Citation)
            title:  2015 Univ of Texas BEG Topobathy Lidar: Lower Texas Coast
            alternateTitle:  tx2015_univ_tx_lwr_cst_m6291_metadata
            date:  (CI_Date)
                date:  2014-08-25
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                    title:  NOAA/NMFS/EDM
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                  Anchor:  InPort Catalog ID 51960
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                        linkage: https://www.fisheries.noaa.gov/inport/item/51960
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                        linkage: https://coast.noaa.gov/
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                        linkage: https://coast.noaa.gov/dataviewer/#/
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                        name:  NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV)
                        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.
                        function:  (CI_OnLineFunctionCode) download
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        abstract:  This data set contains LAS v. 1.2 format all points data from the Lower Texas Coast. The data were collected in winter, 2015 using the Bureau of Economic Geology’s airborne system (Chiroptera)which can collect topographic lidar data, shallow bathymetric lidar data, and natural color/color infrared imagery. The X, Y, and Z point data are generated by combining laser range and aircraft attitude data collected using an airborne light detection and ranging (lidar) instrument with once-per-second data collected using geodetic quality (dual phase) Global Positioning System (GPS) airborne and ground-based receivers. The equipment was installed in a twin engine Partenavia P68 aircraft (tail number N300LF) owned and operated by Aspen Helicopters, Inc., and operated locally out of Aransas County Airport in Rockport, Texas. This data set is an LAZ (compressed LAS) format file containing LIDAR point cloud data.
        purpose:  The Bureau of Economic Geology (BEG) at the University of Texas at Austin (UT) used airborne lidar to provide terrain elevation data of select areas along the lower Texas coast. The primary goal of the project is to provide high-resolution topographic lidar data and aerial photography of colonial waterbird rookery islands. The lidar data will be used by the Oil Spill Program at the Texas General Land Office.
        credit:  Research staff of the Coastal Studies group, Near Surface Observatory, Bureau of Economic Geology, Jackson School of Geosciences, The University of Texas at Austin. This project was supported by grant no. 13-438-000-7897 from the General Land Office of Texas to the BEG. Thomas A. Tremblay served as the principal investigator. The project was funded through the Oil Spill Program., Bureau of Economic Geology, University of Texas at Austin 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 Jul 01, 2023 at https://coast.noaa.gov/dataviewer.
        status:  (MD_ProgressCode) completed
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            organisationName:  NOAA Office for Coastal Management
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                    voice:  (843) 740-1202
                address:  (CI_Address)
                    deliveryPoint:  2234 South Hobson Ave
                    city:  Charleston
                    administrativeArea:  SC
                    postalCode:  29405-2413
                    country: (missing)
                    electronicMailAddress:  coastal.info@noaa.gov
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                    linkage: https://coast.noaa.gov
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                    deliveryPoint:  2234 South Hobson Ave
                    city:  Charleston
                    administrativeArea:  SC
                    postalCode:  29405-2413
                    country: (missing)
                    electronicMailAddress:  coastal.info@noaa.gov
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                    linkage: https://coast.noaa.gov
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        graphicOverview:  (MD_BrowseGraphic)
            fileName: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/6291/supplemental/tx2015_univ_tx_lwr_tx_cst_m6291.kmz
            fileDescription:  This graphic displays the footprint for this lidar data set.
            fileType:  KML
        descriptiveKeywords:  (MD_Keywords)
            keyword:  EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
            keyword:  EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > SEAFLOOR TOPOGRAPHY
            keyword:  EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
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                title:  Global Change Master Directory (GCMD) Science Keywords
                date: (missing)
                edition:  12.3
        descriptiveKeywords:  (MD_Keywords)
            keyword:  CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > TEXAS
            keyword:  VERTICAL LOCATION > LAND SURFACE
            keyword:  VERTICAL LOCATION > SEA FLOOR
            type:  (MD_KeywordTypeCode) place
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                title:  Global Change Master Directory (GCMD) Location Keywords
                date: (missing)
                edition:  12.3
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            keyword:  LIDAR > Light Detection and Ranging
            type:  (MD_KeywordTypeCode) instrument
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                title:  Global Change Master Directory (GCMD) Instrument Keywords
                date: (missing)
                edition:  14.9
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            keyword:  Airplane > Airplane
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                date: (missing)
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        descriptiveKeywords:  (MD_Keywords)
            keyword:  all-points
            keyword:  beach
            keyword:  erosion
            keyword:  island
            keyword:  shoreline
            type:  (MD_KeywordTypeCode) theme
        descriptiveKeywords:  (MD_Keywords)
            keyword:  Lidar - partner (no harvest)
            type:  (MD_KeywordTypeCode) project
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            otherConstraints:  Cite As: OCM Partners, [Date of Access]: 2015 Univ of Texas BEG Topobathy Lidar: Lower Texas Coast [Data Date Range], https://www.fisheries.noaa.gov/inport/item/51960.
        resourceConstraints:  (MD_Constraints)
            useLimitation:  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.
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            otherConstraints:  Access Constraints: None | Use Constraints: Users should be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations. | Distribution Liability: These data were collected for the purpose of creating a 2015 digital elevation model of the Lower Texas Coast. Any conclusions drawn from analysis of this information are not the responsibility of the Bureau of Economic Geology, the University of Texas at Austin, NOAA, the Office for Coastal Management or its partners.
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                    code:  51960
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                            linkage: https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/51960.pdf
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                            name:  NOAA Data Management Plan (DMP)
                            description:  NOAA Data Management Plan for this record on InPort.
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            associationType:  (DS_AssociationTypeCode) crossReference
        language:  eng; US
        topicCategory:  (MD_TopicCategoryCode) elevation
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                westBoundLongitude:  -97.50223
                eastBoundLongitude:  -95.758178
                southBoundLatitude:  26.043571
                northBoundLatitude:  28.733288
            temporalElement:  (EX_TemporalExtent)
                extent:
                  TimeInstant:
                    description:   | Currentness: Ground Condition
                    timePosition:  2015-01-29
        supplementalInformation:  System Information The Chiroptera LiDAR system was developed and manufactured by Airborne Hydrography AB (AHAB). The topographic LiDAR scanner operates at a wavelength of 1 um, a pulse rate as high as 400 kHz, and swath width of 28 to 40 degrees. It can operate to a maximum height of about 1500 m, allowing the system to be used to rapidly scan large areas with a range accuracy of about 2 cm over a flat target. The bathymetric LiDAR scanner operates at a shorter wavelength (0.5 um) and a lower pulse rate (36 kHz). The shorter wavelength allows the laser to penetrate water of reasonable clarity. After the laser reflects off the bottom surface and back to the source, the transit-time delay between water-surface and water bottom reflections can be used to determine water depths to a flat-bottom accuracy of about 15 cm. Also mounted in the Chiroptera chassis is a Hasselblad DigiCAM 50 megapixel natural color or color infrared camera that acquires frame images at a resolution of 8,176 by 6,132 pixels. The BEG's aerial surveying capabilities also includes "Goliath," a fast and secure mobile data-storage and -processing system. Its two 40-terabyte (TB) RAID 5 arrays speed the transfer of field data by a factor of 10 over conventional storage systems while providing full redundancy to ensure data integrity. Goliath was designed and assembled to meet specific requirements of the Chiroptera lidar instrument and hyperspectral camera system. Operating simultaneously, these components generate high-resolution data at the rate of about 1.5TB per 2-hour flight. Goliath has been ruggedized for transport and field deployment and enables the research team to remain in the field for the duration of the projectsometimes as long as a week or more. More importantly, the new system allows researchers to visualize and verify the quality of collected data each field day, ensuring adequate areal coverage and optimal data quality.
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    contentInfo:  (MD_FeatureCatalogueDescription)
        complianceCode:  false
        language:
          LanguageCode:  eng
        includedWithDataset:  false
        featureCatalogueCitation:  (CI_Citation)
            title:  Bureau of Economic Geology, University of Texas at Austin, 2015.
            date: (unavailable)
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    distributionInfo:  (MD_Distribution)
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            name:  LAZ
            version: (missing)
        distributor:  (MD_Distributor)
            distributorContact:  (CI_ResponsibleParty)
                organisationName:  NOAA Office for Coastal Management
                contactInfo:  (CI_Contact)
                    phone:  (CI_Telephone)
                        voice:  (843) 740-1202
                    address:  (CI_Address)
                        deliveryPoint:  2234 South Hobson Ave
                        city:  Charleston
                        administrativeArea:  SC
                        postalCode:  29405-2413
                        country: (missing)
                        electronicMailAddress:  coastal.info@noaa.gov
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                        linkage: https://coast.noaa.gov
                        protocol:  WWW:LINK-1.0-http--link
                        name:  NOAA Office for Coastal Management Website
                        description:  NOAA Office for Coastal Management Home Page
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                linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=6291
                protocol:  WWW:LINK-1.0-http--link
                name:  Customized Download
                description:  Create custom data files by choosing data area, product type, map projection, file format, datum, etc.
                function:  (CI_OnLineFunctionCode) download
        transferOptions:  (MD_DigitalTransferOptions)
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                linkage: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/6291/index.html
                protocol:  WWW:LINK-1.0-http--link
                name:  Bulk Download
                description:  Bulk download of data files in LAZ format, geographic coordinates, orthometric heights.
                function:  (CI_OnLineFunctionCode) download
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    dataQualityInfo:  (DQ_DataQuality)
        scope:  (DQ_Scope)
            level:  (MD_ScopeCode) dataset
        report:  (DQ_AbsoluteExternalPositionalAccuracy)
            nameOfMeasure:  Horizontal Positional Accuracy
            evaluationMethodDescription:  Selected portions from each lidar data set were used to generate a 1m x 1m digital elevation model (DEM). Data estimated to have a horizontal accuracy of 0.01-0.05m from ground surveys using kinematic GPS techniques were superimposed on the lidar DEM and examined for any mismatch between the horizontal position of the ground GPS and the corresponding feature on the lidar DEM. Horizontal agreement between the ground kinematic GPS and the lidar was within the resolution of the 1m x 1m DEM. Opposing flight lines crossing the calibration target, roads within the survey area, and buildings with slanted roofs are examined to remove roll, pitch, and heading errors. Several iterations of adjustments were made to minimize these errors caused by IMU misalignment.
            result: (missing)
        report:  (DQ_AbsoluteExternalPositionalAccuracy)
            nameOfMeasure:  Vertical Positional Accuracy
            evaluationMethodDescription:  Ground GPS surveys were conducted near the lidar survey area to acquire ground truth information to refine the processing calibration file to remove elevation biases. The ground survey points are estimated to have a vertical accuracy of 0.05-0.10m. Roads or runways, which are typically flat areas with an unambiguous surface, were surveyed using kinematic GPS techniques. The lidar data set is sorted to find data points that fall within 1 m of a ground GPS survey point. In the project calibration file, slant range correction is adjusted to remove the elevation biases. The standard deviation of the final elevation differences provides estimates of the lidar precision. Topographic lidar RMS for Lower Texas Coast survey is 0.079 m.
            result: (missing)
        report:  (DQ_CompletenessCommission)
            nameOfMeasure:  Completeness Report
            evaluationMethodDescription:  Complete. The lidar files were flown at a density to support a maximum final post spacing of greater than 4 points per square meter over the ground.
            result: (missing)
        report:  (DQ_ConceptualConsistency)
            nameOfMeasure:  Conceptual Consistency
            evaluationMethodDescription:  This lidar dataset is a topographic survey conducted of the Lower Texas Coast. These data were collected and processed by the Bureau of Economic Geology, The University of Texas at Austin for the Texas General Land Office.
            result: (missing)
        lineage:  (LI_Lineage)
            statement: (missing)
            processStep:  (LI_ProcessStep)
                description:  Preparation and Data acquisition Chiroptera system is installed in aircraft. GPS to laser offset values are measured using a survey grade Total Station (if first time installation). System is turned on using ground AC power connection to the aircraft for system check. Aircraft GPS receiver is turned on to start data collection. The pre-determined flight plan is uploaded to the Flight Management software. Ground GPS base stations are setup on geodetic reference points (with known precise Northing, Easting, and Elevation information) in or near the survey area. GPS receivers are set for continuous 1 second data collection rate. Aircraft GPS and Base GPS information needs to overlap each other for the duration of the survey flight. Aircraft takes off to begin the survey mission. Pilot follows the flight altitude, speed and the flight lines as directed by the flight plan. Raw laser point cloud data is collected with external solid state hard drives in the Chiroptera. High resolution raw images are collected using integrated medium format camera. VGA low resolution images are collected for operator and post-processing reference. GPS and attitude (INS) information is collected on an external storage device. Airborne survey is completed after all flight lines are flown.
                dateTime:
                  DateTime:  2015-01-29T00:00:00
            processStep:  (LI_ProcessStep)
                description:  Data Download and Preliminary Field Processing All laser data and raw image files are downloaded to the field computer using its internal drive enclosures. GPS and INS data are downloaded using USB3.0 connections to the field computer. Preliminary GPS processing is completed by merging base GPS receiver with the remote to create a GPS trajectory (GrafNav). The preliminary GPS trajectory is combined with attitude information in AEROoffice to create a 7-parameter (TXYZ,roll,pitch,yaw) navigation file. The navigation solution is used to reference each laser pulse return with the 7-paramater information in LSS. Laser point cloud data is output by flight line in multiple segments. Point cloud data is examined to determine quality of the data coverage (i.e. sufficient overlap of flight lines and point spacing).
                dateTime:
                  DateTime:  2015-01-29T00:00:00
            processStep:  (LI_ProcessStep)
                description:  Post-Processing Upon return from the survey area, all files are transferred from the field computer to an in-house server. Compute base station coordinates using National Geodetic Survey's (NGS) Online Positioning User Service (OPUS). Setup project in AEROoffice software and covert Chiroptera GPS files to binary Novatel GPS files. Convert aircraft GPS file and base station GPS files to GrafNav compatible format. Compute merged aircraft trajectory using GrafNav software. Solutions for base station coordinates and aircraft trajectories are in NAD83. Combine precise trajectories with aircraft attitude information in AEROoffice to create final precise 7-parameter navigation file (TXYZ,roll,pitch,yaw). Laser point data are generated in AHAB processing software Lidar Survey Studio (LSS) combining navigation file information and laser data. LSS also requires a calibration, processing settings, and system configuration files. Laser point data is output from LSS in LAS v1.2 format (a binary file format). A condition is set in LSS to output data in the proper UTM zone and hemisphere. The resultant points are referenced to the Geographic NAD83 horizontal datum and height above the NAD83 ellipsoid. The TerraScan utility of MicroStation was used to concatenate flight line files and to clean data of miscellaneous returns (such as clouds, reflections, long returns, etc). The LAS data files are parsed into 1x1 km tiles (plus 20m buffer) using the LAStools script lastile. This process created 68 tiles. The 2012A geoid model was used to adjust the elevation data from ellipsoidal to orthometric heights (NAVD88) using a LAStools script called lasheight. The LAS input files are classified into 2 categories 1) ground and 2) everything else (ie. vegetation, power lines, buildings, etc.) using the LAStools script lasground. Create index map shapefile and KML file representing center of each 1x1 km tile with file name for referencing.
                dateTime:
                  DateTime:  2015-08-13T00:00:00
            processStep:  (LI_ProcessStep)
                description:  The NOAA Office for Coastal Management (OCM) received 95 files in las format from UT BEG. The files contained elevation and intensity measurements along the coast of Texas. The data were in UTM Zone 14 NAD83 coordinates and NAVD88 (Geoid12A) elevations in meters. The data were classified as: 9 (ground), 13 (low vegetation), 14 (medium vegetation), 15 (high vegetation) . 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 las files to check for errors. 2. The LAStools software script las2las was run to convert the classifications of: Class 9 (ground) to Class 2 (ground) Class 13, 14, 15 (low/medium/high vegetation) to Class 1 (unclassified) - these classes were converted due to the fact that many points with these classifications were actually structures. 3. Internal OCM scripts were run on the las files to convert from UTM Zone 14 NAD83 coordinates to geographic NAD83 coordinates, from orthometric (NAVD88) elevations to ellipsoid elevations using the Geoid 12A model, to assign the geokeys, and zip the data to database and to http.
                dateTime:
                  DateTime:  2018-02-20T00:00:00
                processor:  (CI_ResponsibleParty)
                    organisationName:  Office for Coastal Management
                    role:  (CI_RoleCode) processor
            source:  (LI_Source)
                description:  Source Contribution: raw lidar data from Chiroptera Ground GPS base stations
                sourceCitation:  (CI_Citation)
                    title:  raw Chiroptera and GPS files
                    date: (missing)
                sourceExtent:  (EX_Extent)
                    temporalElement:  (EX_TemporalExtent)
                        extent:
                          TimeInstant:
                            timePosition:  2015-01-29
            processStep:  (LI_ProcessStep)
                description:   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:
                dateTime:
                  DateTime:  2023-07-01T08:17:05
                processor:  (CI_ResponsibleParty)
                    individualName:  NOAA Office for Coastal Management
                    contactInfo:  (CI_Contact)
                        address:  (CI_Address)
                            electronicMailAddress:  coastal.info@noaa.gov
                    role:  (CI_RoleCode) processor