| 2017 TNRIS Lidar DEM: Jefferson, Liberty and Chambers, TX (East) | spatialRepresentationInfo|
|---|---|
| (MI_Metadata) fileIdentifier: gov.noaa.nmfs.inport:59008 language: LanguageCode: eng characterSet: (MD_CharacterSetCode) UTF8 hierarchyLevel: (MD_ScopeCode) dataset hierarchyLevelName: Elevation contact: (CI_ResponsibleParty) organisationName: OCM Partners contactInfo: (CI_Contact) phone: (CI_Telephone) voice: (missing) address: (CI_Address) role: (CI_RoleCode) resourceProvider contact: (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 onlineResource: (CI_OnlineResource) linkage: https://coast.noaa.gov protocol: WWW:LINK-1.0-http--link name: Website description: NOAA Office for Coastal Management Home Page function: (CI_OnLineFunctionCode) information role: (CI_RoleCode) pointOfContact dateStamp: DateTime: 2020-03-17T14:44:26 metadataStandardName: ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data metadataStandardVersion: ISO 19115-2:2009(E) return to top spatialRepresentationInfo: (MD_VectorSpatialRepresentation) topologyLevel: (MD_TopologyLevelCode) return to top identificationInfo: (MD_DataIdentification) citation: (CI_Citation) title: 2017 TNRIS Lidar DEM: Jefferson, Liberty and Chambers, TX (East) date: (CI_Date) date: 2017 dateType: (CI_DateTypeCode) publication identifier: (MD_Identifier) authority: (CI_Citation) title: NOAA/NMFS/EDM date: (inapplicable) code: Anchor: InPort Catalog ID 59008 citedResponsibleParty: (CI_ResponsibleParty) organisationName: (inapplicable) contactInfo: (CI_Contact) onlineResource: (CI_OnlineResource) linkage: https://coast.noaa.gov/htdata/lidar3_z/geoid18/data/9040/supplemental/SM580170040_CheckpointSurveyReportDeliverable_20170417.pdf protocol: WWW:LINK-1.0-http--link name: Dataset report description: Link to data set report. function: (CI_OnLineFunctionCode) download role: (inapplicable) citedResponsibleParty: (CI_ResponsibleParty) organisationName: (inapplicable) contactInfo: (CI_Contact) onlineResource: (CI_OnlineResource) linkage: https://coast.noaa.gov/htdata/lidar3_z/geoid18/data/9040/supplemental/580-17-SOW0039_LiDAR_CoastalTexas_GroundControl_SurveyReport.pdf protocol: WWW:LINK-1.0-http--link name: Dataset report description: Link to data set report. function: (CI_OnLineFunctionCode) download role: (inapplicable) citedResponsibleParty: (CI_ResponsibleParty) organisationName: (inapplicable) contactInfo: (CI_Contact) onlineResource: (CI_OnlineResource) linkage: https://coast.noaa.gov/htdata/lidar3_z/geoid18/data/9040/supplemental/580170040_FinalQAQCReport_20180404.pdf protocol: WWW:LINK-1.0-http--link name: Dataset report description: Link to data set report. function: (CI_OnLineFunctionCode) download role: (inapplicable) citedResponsibleParty: (CI_ResponsibleParty) organisationName: (inapplicable) contactInfo: (CI_Contact) onlineResource: (CI_OnlineResource) linkage: https://coast.noaa.gov/htdata/lidar3_z/geoid18/data/9040/supplemental/TX_Coastal_Acq_Parameters.pdf protocol: WWW:LINK-1.0-http--link name: Dataset report description: Link to data set report. function: (CI_OnLineFunctionCode) download role: (inapplicable) citedResponsibleParty: (CI_ResponsibleParty) organisationName: (inapplicable) contactInfo: (CI_Contact) onlineResource: (CI_OnlineResource) linkage: https://coast.noaa.gov/dataviewer/ protocol: WWW:LINK-1.0-http--link 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 role: (inapplicable) presentationForm: (unknown) abstract: This metadata record describes the bare-earth hydro-flattened Digital Elevation Model (DEM) for the Eastern Block of the 2017 Texas Coastal LiDAR project. The Eastern Block covers approximately 841 square miles, including the cities of Beaumont, Port Arthur, and Nederland in southeast Texas. This point cloud AOI was collected to meet the density of 4 points per meter. The DEM has 1 m horizontal resolution, is in UTM Zone 15 projection, horizontal datum is the North American Datum of 1983 (NAD83 (2011)), vertical datum is North American Vertical Datum of 1988 (NAVD88) using the latest geoid (Geoid12b) for converting ellipsoidal heights to orthometric heights. Units - Meters 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) Note: The Western Block AOI covers approximately 289 square miles, including the cities of Liberty, Hankamer, and Anahuac in southeast Texas. This point cloud AOI was collected to meet the density of 8 points per meter. Total area covers equals approximately 1.130 square miles. The Western Block is available through the 'Related Items' section, below. 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. credit: State of Texas status: (MD_ProgressCode) completed pointOfContact: (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 onlineResource: (CI_OnlineResource) linkage: https://coast.noaa.gov protocol: WWW:LINK-1.0-http--link name: Website description: NOAA Office for Coastal Management Home Page function: (CI_OnLineFunctionCode) information role: (CI_RoleCode) pointOfContact pointOfContact: (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 onlineResource: (CI_OnlineResource) linkage: https://coast.noaa.gov protocol: WWW:LINK-1.0-http--link name: Website description: NOAA Office for Coastal Management Home Page function: (CI_OnLineFunctionCode) information role: (CI_RoleCode) custodian resourceMaintenance: (MD_MaintenanceInformation) maintenanceAndUpdateFrequency: (MD_MaintenanceFrequencyCode) unknown graphicOverview: (MD_BrowseGraphic) fileName: https://coast.noaa.gov/htdata/lidar3_z/geoid18/data/9040/supplemental/extent_2018_tx_jeff_lib_cham_m9040.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 > Bathymetry > Coastal Bathymetry keyword: Earth Science > Oceans > Coastal Processes > Coastal Elevation type: (MD_KeywordTypeCode) theme thesaurusName: (CI_Citation) title: Global Change Master Directory (GCMD) Science Keywords date: (missing) descriptiveKeywords: (MD_Keywords) keyword: Continent > North America > United States Of America keyword: Continent > North America > United States Of America > Southeast keyword: Continent > North America > United States Of America > Texas keyword: Continent > North America > United States Of America > U.S. Coastline keyword: Vertical Location > Land Surface keyword: Vertical Location > Seafloor type: (MD_KeywordTypeCode) place thesaurusName: (CI_Citation) title: Global Change Master Directory (GCMD) Location Keywords date: (missing) descriptiveKeywords: (MD_Keywords) keyword: Earth Remote Sensing Instruments > Active Remote Sensing > Profilers/Sounders > Lidar/Laser Sounders > LIDAR > Light Detection and Ranging type: (MD_KeywordTypeCode) instrument thesaurusName: (CI_Citation) title: Global Change Master Directory (GCMD) Instrument Keywords date: (missing) descriptiveKeywords: (MD_Keywords) keyword: Aircraft > Aircraft type: (MD_KeywordTypeCode) platform thesaurusName: (CI_Citation) title: Global Change Master Directory (GCMD) Platform Keywords date: (missing) descriptiveKeywords: (MD_Keywords) keyword: DEMs - partner (no harvest) type: (MD_KeywordTypeCode) project thesaurusName: (CI_Citation) title: InPort date: (inapplicable) 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. resourceConstraints: (MD_LegalConstraints) accessConstraints: (MD_RestrictionCode) otherRestrictions useConstraints: (MD_RestrictionCode) otherRestrictions 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: 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 resourceConstraints: (MD_SecurityConstraints) classification: (MD_ClassificationCode) unclassified classificationSystem: (missing) handlingDescription: (missing) aggregationInfo: (MD_AggregateInformation) aggregateDataSetName: (CI_Citation) title: 2017 TNRIS Lidar DEM: Jefferson, Liberty and Chambers, TX (West) date: (unknown) identifier: (MD_Identifier) authority: (CI_Citation) title: NOAA/NMFS/EDM date: (inapplicable) code: 59049 associationType: (DS_AssociationTypeCode) crossReference aggregationInfo: (MD_AggregateInformation) aggregateDataSetName: (CI_Citation) title: NOAA Data Management Plan (DMP) date: (unknown) identifier: (MD_Identifier) authority: (CI_Citation) title: NOAA/NMFS/EDM date: (inapplicable) code: 59008 citedResponsibleParty: (CI_ResponsibleParty) organisationName: (inapplicable) contactInfo: (CI_Contact) onlineResource: (CI_OnlineResource) linkage: https://inport.nmfs.noaa.gov/inport-metadata/NOAA/NOS/OCMP/dmp/pdf/59008.pdf protocol: WWW:LINK-1.0-http--link name: NOAA Data Management Plan (DMP) description: NOAA Data Management Plan for this record on InPort. function: (CI_OnLineFunctionCode) information role: (inapplicable) associationType: (DS_AssociationTypeCode) crossReference spatialRepresentationType: (MD_SpatialRepresentationTypeCode) vector spatialResolution: (MD_Resolution) distance: Distance: 1 language: eng; US topicCategory: (MD_TopicCategoryCode) elevation environmentDescription: Microsoft Windows 7; ESRI ArcCatalog 9.3.1.1850 extent: (EX_Extent) geographicElement: (EX_GeographicBoundingBox) westBoundLongitude: -94.444 eastBoundLongitude: -93.768 southBoundLatitude: 29.597 northBoundLatitude: 30.1 temporalElement: (EX_TemporalExtent) extent: TimePeriod: description: Lidar acquisition dates | Currentness: Ground Condition beginPosition: 2017-02-22 endPosition: 2017-03-04 supplementalInformation: 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 return to top contentInfo: (MD_FeatureCatalogueDescription) complianceCode: false language: LanguageCode: eng includedWithDataset: false featureCatalogueCitation: (CI_Citation) title: USGS Base Specification 1.2 date: (unavailable) return to top distributionInfo: (MD_Distribution) distributionFormat: (MD_Format) name: Zip version: (missing) fileDecompressionTechnique: Zip distributionFormat: (MD_Format) name: GeoTIFF 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 onlineResource: (CI_OnlineResource) linkage: https://coast.noaa.gov protocol: WWW:LINK-1.0-http--link name: Website description: NOAA Office for Coastal Management Home Page function: (CI_OnLineFunctionCode) information role: (CI_RoleCode) distributor transferOptions: (MD_DigitalTransferOptions) onLine: (CI_OnlineResource) linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9047 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) onLine: (CI_OnlineResource) linkage: https://coast.noaa.gov/htdata/raster2/elevation/TNRIS_JeffLibCham_DEM_2018_9054 protocol: WWW:LINK-1.0-http--link name: Bulk Download description: Simple download of data files. function: (CI_OnLineFunctionCode) download return to top dataQualityInfo: (DQ_DataQuality) scope: (DQ_Scope) level: (MD_ScopeCode) dataset report: (DQ_AbsoluteExternalPositionalAccuracy) nameOfMeasure: Horizontal Positional Accuracy evaluationMethodDescription: 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. result: (missing) report: (DQ_AbsoluteExternalPositionalAccuracy) nameOfMeasure: Vertical Positional Accuracy evaluationMethodDescription: 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. The overall NVA accuracy for the entire dataset is RMSEz = 9.992. (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). result: (missing) report: (DQ_CompletenessCommission) nameOfMeasure: Completeness Report evaluationMethodDescription: 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. result: (missing) report: (DQ_ConceptualConsistency) nameOfMeasure: Conceptual Consistency evaluationMethodDescription: LiDAR data is collected within the project area and processed. Control points were used during calibration to verify accuracy. result: (missing) lineage: (LI_Lineage) statement: (missing) processStep: (LI_ProcessStep) description: 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. dateTime: DateTime: 2017-01-01T00:00:00 processStep: (LI_ProcessStep) 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. dateTime: DateTime: 2017-01-01T00:00:00 processStep: (LI_ProcessStep) 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. dateTime: DateTime: 2017-01-01T00:00:00 processStep: (LI_ProcessStep) 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. dateTime: DateTime: 2017-01-01T00:00:00 processStep: (LI_ProcessStep) 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 dateTime: DateTime: 2017-01-01T00:00:00 processStep: (LI_ProcessStep) description: The NOAA Office for Coastal Management (OCM) received the files in the proprietary ERDAS IMG format. The files were converted to floating point GeoTIFF format in vertical meters using gdal_translate from GDAL version 3.0.2. 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. processor: (CI_ResponsibleParty) organisationName: Office for Coastal Management role: (CI_RoleCode) processor source: (LI_Source) description: 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 scaleDenominator: (MD_RepresentativeFraction) denominator: 1200 sourceCitation: (CI_Citation) title: Classified lidar date: (missing) citedResponsibleParty: (CI_ResponsibleParty) organisationName: Sanborn Map Company Inc. role: (CI_RoleCode) originator sourceExtent: (EX_Extent) temporalElement: (EX_TemporalExtent) extent: TimeInstant: timePosition: 2017 source: (LI_Source) description: 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. sourceCitation: (CI_Citation) title: Ground control date: (CI_Date) date: 2017-01-01 dateType: (CI_DateTypeCode) publication citedResponsibleParty: (CI_ResponsibleParty) organisationName: Sanborn Map Company Inc. role: (CI_RoleCode) originator sourceExtent: (EX_Extent) temporalElement: (EX_TemporalExtent) extent: TimeInstant: timePosition: 2017 source: (LI_Source) description: 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. sourceCitation: (CI_Citation) title: LiDAR Data date: (missing) citedResponsibleParty: (CI_ResponsibleParty) organisationName: Sanborn Map Company Inc. role: (CI_RoleCode) originator sourceExtent: (EX_Extent) temporalElement: (EX_TemporalExtent) extent: TimeInstant: timePosition: 2017 source: (LI_Source) description: Source Contribution: Post processed GPS/INS is applied to the lidar point data to georeference each point in the project coordinate system scaleDenominator: (MD_RepresentativeFraction) denominator: 1200 sourceCitation: (CI_Citation) title: Post processed GPS/INS date: (missing) citedResponsibleParty: (CI_ResponsibleParty) organisationName: Sanborn Map Company Inc. role: (CI_RoleCode) originator sourceExtent: (EX_Extent) temporalElement: (EX_TemporalExtent) extent: TimeInstant: timePosition: 2017 source: (LI_Source) description: Source Contribution: The post processed lidar data has been projected and oriented in the specified coordinate system as an un-classified point cloud. scaleDenominator: (MD_RepresentativeFraction) denominator: 1200 sourceCitation: (CI_Citation) title: Post processed lidar date: (missing) citedResponsibleParty: (CI_ResponsibleParty) organisationName: Sanborn Map Company Inc. role: (CI_RoleCode) originator sourceExtent: (EX_Extent) temporalElement: (EX_TemporalExtent) extent: TimeInstant: timePosition: 2017 source: (LI_Source) description: 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. scaleDenominator: (MD_RepresentativeFraction) denominator: 1200 sourceCitation: (CI_Citation) title: Tile Definition date: (missing) citedResponsibleParty: (CI_ResponsibleParty) organisationName: Sanborn Map Company Inc. role: (CI_RoleCode) originator sourceExtent: (EX_Extent) temporalElement: (EX_TemporalExtent) extent: TimeInstant: timePosition: 2017 | |