| 2018 - 2020 NOAA USGS Lidar: Hawaii, HI | spatialRepresentationInfo|
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| (MI_Metadata) fileIdentifier: gov.noaa.nmfs.inport:68082 language: LanguageCode: eng characterSet: (MD_CharacterSetCode) UTF8 hierarchyLevel: (MD_ScopeCode) dataset hierarchyLevelName: Elevation contact: (CI_ResponsibleParty) organisationName: Office for Coastal Management 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: NOAA Office for Coastal Management Website description: NOAA Office for Coastal Management Home Page function: (CI_OnLineFunctionCode) information role: (CI_RoleCode) pointOfContact dateStamp: DateTime: 2024-02-29T00:00:00 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) geometricObjects: (MD_GeometricObjects) geometricObjectType: (MD_GeometricObjectTypeCode) point geometricObjectCount: 112953918556 return to top referenceSystemInfo: (MD_ReferenceSystem) referenceSystemIdentifier: (RS_Identifier) authority: (CI_Citation) title: NAD83(PA11) date: (CI_Date) date: 2008-11-12 dateType: (CI_DateTypeCode) publication citedResponsibleParty: (CI_ResponsibleParty) organisationName: European Petroleum Survey Group contactInfo: (CI_Contact) onlineResource: (CI_OnlineResource) linkage: https://apps.epsg.org/api/v1/CoordRefSystem/6322/export/?format=gml role: (missing) code: urn:ogc:def:crs:EPSG:6322 version: 6.18.3 return to top referenceSystemInfo: (MD_ReferenceSystem) referenceSystemIdentifier: (RS_Identifier) authority: (CI_Citation) title: GPS-derived orthometric height via GEOID model (GEOID12B) meters alternateTitle: GPS-derived orthometric height via GEOID model (GEOID12B) meters citedResponsibleParty: (CI_ResponsibleParty) organisationName: (withheld) contactInfo: (CI_Contact) onlineResource: (CI_OnlineResource) linkage: https://apps.epsg.org/api/v1/VerticalCoordRefSystem/5714/?api_key=gml name: GPS-derived orthometric height via GEOID model (GEOID12B) meters description: Link to Geographic Markup Language (GML) description of reference system. function: (CI_OnLineFunctionCode) information role: (CI_RoleCode) resourceProvider citedResponsibleParty: (CI_ResponsibleParty) organisationName: European Petroleum Survey Group contactInfo: (CI_Contact) onlineResource: (CI_OnlineResource) linkage: https://www.epsg.org/ name: European Petroleum Survey Group Geodetic Parameter Registry description: Registry that accesses the EPSG Geodetic Parameter Dataset, which is a structured dataset of Coordinate Reference Systems and Coordinate Transformations. function: (CI_OnLineFunctionCode) search role: (CI_RoleCode) publisher VerticalCS: metaDataProperty: CommonMetaData: type: vertical informationSource: OGP revisionDate: 2006-11-28 isDeprecated: false identifier: urn:ogc:def:cs:EPSG::6499 name: Vertical CS. Axis: height (H). Orientation: up. UoM: meter. remarks: Used in vertical coordinate reference systems. axis: CoordinateSystemAxis: descriptionReference: urn:ogc:def:axis-name:EPSG::9904 identifier: urn:ogc:def:axis:EPSG::114 axisAbbrev: H axisDirection: up code: urn:ogc:def:crs:EPSG::5714 return to top identificationInfo: (MD_DataIdentification) citation: (CI_Citation) title: 2018 - 2020 NOAA USGS Lidar: Hawaii, HI alternateTitle: 2018 big island lidar m9635 date: (CI_Date) date: 2020-12-29 dateType: (CI_DateTypeCode) publication identifier: (MD_Identifier) authority: (CI_Citation) title: NOAA/NMFS/EDM date: (inapplicable) code: Anchor: InPort Catalog ID 68082 citedResponsibleParty: (CI_ResponsibleParty) organisationName: (inapplicable) contactInfo: (CI_Contact) onlineResource: (CI_OnlineResource) linkage: https://www.fisheries.noaa.gov/inport/item/68082 protocol: WWW:LINK-1.0-http--link name: Full Metadata Record description: View the complete metadata record on InPort for more information about this dataset. function: (CI_OnLineFunctionCode) information role: (inapplicable) citedResponsibleParty: (CI_ResponsibleParty) organisationName: (inapplicable) contactInfo: (CI_Contact) onlineResource: (CI_OnlineResource) linkage: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/9635/supplemental/Low_confidence_polygons.zip protocol: WWW:LINK-1.0-http--link name: low confidence areas description: Geospatial features indicating where there is low confidence in the ground values. function: (CI_OnLineFunctionCode) download role: (inapplicable) citedResponsibleParty: (CI_ResponsibleParty) organisationName: (inapplicable) contactInfo: (CI_Contact) onlineResource: (CI_OnlineResource) linkage: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/9635/supplemental/HI_Hawaii_Island_Lidar_NOAA_2017_B17_Lidar_Report.pdf protocol: WWW:LINK-1.0-http--link name: Contractor Report description: Project report by the contractor. Describes the project and data prior to any NOAA changes. 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: Product: Processed, classified lidar point cloud data tiles in LAS 1.4 format. Geographic Extent: Approximately 4,028 square miles encompassing the Big Island of Hawaii. Dataset Description: The HI Hawaii Island Lidar NOAA 2017 B17 lidar project called for the planning, acquisition, processing, and production of derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meters. Project specifications were based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification 2020 Revision A. The data was developed based on a horizontal datum/projection of NAD83 (PA11) UTM Zone 5N Meters (EPSG 6635) and a vertical datum of NAVD88 (GEOID12B) Meters. Lidar data was delivered as processed LAS 1.4 files formatted to 8,629 individual 1,000-meter x 1,000-meter tiles. Ground Conditions: Lidar was collected from January 30, 2018 through January 6, 2020 by Leica Geosystems, Inc. while no snow was on the ground and rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Woolpert established 70 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. Additional independent accuracy checkpoints were collected by NOAA and used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data. This dataset has been noted to have issues with ground classification in areas of dense vegetation. Please read the data use constraints section for further details. This data set is an LAZ (compressed LAS) format file containing LIDAR point cloud data. purpose: This data is intended for use in coastal management decision making, including applications such as support for local hydrologists and watershed managers in their decision-making processes and for formulating a sediment budget and identifying soil erosion hotspots. credit: NOAA, USGS, Woolpert 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 Oct 22, 2024 at https://coast.noaa.gov/dataviewer. 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: NOAA Office for Coastal Management 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: NOAA Office for Coastal Management Website description: NOAA Office for Coastal Management Home Page function: (CI_OnLineFunctionCode) information role: (CI_RoleCode) custodian resourceMaintenance: (MD_MaintenanceInformation) maintenanceAndUpdateFrequency: (MD_MaintenanceFrequencyCode) notPlanned graphicOverview: (MD_BrowseGraphic) fileName: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/9635/supplemental/2018-2020_bigIsland_extent_m9635.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 > COASTAL PROCESSES > COASTAL ELEVATION type: (MD_KeywordTypeCode) theme thesaurusName: (CI_Citation) title: Global Change Master Directory (GCMD) Science Keywords date: (missing) edition: 17.0 descriptiveKeywords: (MD_Keywords) keyword: CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA keyword: CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > HAWAII keyword: VERTICAL LOCATION > LAND SURFACE type: (MD_KeywordTypeCode) place thesaurusName: (CI_Citation) title: Global Change Master Directory (GCMD) Location Keywords date: (missing) edition: 17.0 descriptiveKeywords: (MD_Keywords) keyword: LIDAR > Light Detection and Ranging type: (MD_KeywordTypeCode) instrument thesaurusName: (CI_Citation) title: Global Change Master Directory (GCMD) Instrument Keywords date: (missing) edition: 17.2 descriptiveKeywords: (MD_Keywords) keyword: Airplane > Airplane type: (MD_KeywordTypeCode) platform thesaurusName: (CI_Citation) title: Global Change Master Directory (GCMD) Platform Keywords date: (missing) edition: 17.2 descriptiveKeywords: (MD_Keywords) keyword: Hawaii County type: (MD_KeywordTypeCode) place descriptiveKeywords: (MD_Keywords) keyword: DOC/NOAA/NOS/OCM > Office of Coastal Management, National Ocean Service, NOAA, U.S. Department of Commerce type: (MD_KeywordTypeCode) dataCentre thesaurusName: (CI_Citation) title: Global Change Master Directory (GCMD) Data Center Keywords date: (CI_Date) date: 2017-04-24 dateType: (CI_DateTypeCode) publication edition: 8.5 citedResponsibleParty: GCMD Landing Page descriptiveKeywords: (MD_Keywords) keyword: Lidar type: (MD_KeywordTypeCode) project thesaurusName: (CI_Citation) title: InPort date: (inapplicable) resourceSpecificUsage: (MD_Usage) specificUsage: (missing) usageDateTime: DateTime: 2022-10-25T00:00:00 userDeterminedLimitations: Full list of contributors still needs to be added. userContactInfo: (CI_ResponsibleParty) individualName: Waters, Kirk role: (CI_RoleCode) user resourceConstraints: (MD_LegalConstraints) useConstraints: (MD_RestrictionCode) otherRestrictions otherConstraints: Cite As: Office for Coastal Management, [Date of Access]: 2018 - 2020 NOAA USGS Lidar: Hawaii, HI [Data Date Range], https://www.fisheries.noaa.gov/inport/item/68082. 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 otherConstraints: Access Constraints: None resourceConstraints: (MD_LegalConstraints) useConstraints: (MD_RestrictionCode) otherRestrictions otherConstraints: 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. Areas of dense vegetation will have fewer points that reach the ground. In some areas, this may be enough to inhibit ground classification of the points. If those areas are near cliffs, it is possible for elevation models derived from these points to imply false cliff conditions. There are areas of this dataset where these conditions have been noted. Care should be taken to note voids in ground classifications and interpret any derived products appropriately. resourceConstraints: (MD_LegalConstraints) useLimitation: (MD_RestrictionCode) otherRestrictions otherConstraints: Distribution Liability: 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: 2018-2020 HI Hawaii Island Lidar Hydro-Flattened Bare-Earth DEM date: (unknown) identifier: (MD_Identifier) authority: (CI_Citation) title: NOAA/NMFS/EDM date: (inapplicable) code: 68087 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: 68082 citedResponsibleParty: (CI_ResponsibleParty) organisationName: (inapplicable) contactInfo: (CI_Contact) onlineResource: (CI_OnlineResource) linkage: https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocm/dmp/pdf/68082.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: .35 language: eng; US topicCategory: (MD_TopicCategoryCode) elevation environmentDescription: Microsoft Windows 10 Version 1607 (Build 14393.2189); ArcMap 10.7; ArcCatalog 10.7; TerraScan ver. 20; TerraModeler ver. 20; Geocue 2018.2.59.5. extent: (EX_Extent) geographicElement: (EX_GeographicBoundingBox) westBoundLongitude: -156.073778 eastBoundLongitude: -155.057848 southBoundLatitude: 18.903687 northBoundLatitude: 20.280495 temporalElement: (EX_TemporalExtent) extent: TimePeriod: description: | Currentness: Ground Condition beginPosition: 2018-01-30 endPosition: 2020-01-06 supplementalInformation: USGS Contract No. G16PC00022, NOAA Contract No. EA133C33CQ0010. USGS Task Order No. G17PD01353. NOAA Task Order No. T-0040. CONTRACTOR: Woolpert. Sub-contractor: Leica Geosystems, Inc. This work was funded by: NOAA Office for Coastal Management, FEMA Region 9, FEMA HQ, USDA NRCS, County of Hawaii, USGS HVO, and USGS 3DEP The following are the USGS lidar fields in JSON: { "ldrinfo" : { "ldrspec" : "USGS NGP Base Specifications v1.2", "ldrsens" : "Leica SPL 100", "ldrmaxnr" : "2000", "ldrnps" : "0.35", "ldrdens" : "8", "ldranps" : "0.35", "ldradens" : "8", "ldrfltht" : "3200-4420", "ldrfltsp" : "180", "ldrscana" : "30", "ldrscanr" : "21.0", "ldrpulsr" : "50.0", "ldrpulsd" : "0.5", "ldrpulsw" : "0.149", "ldrwavel" : "532", "ldrmpia" : "0", "ldrbmdiv" : "0.08", "ldrswatw" : "2000", "ldrswato" : "20", "ldrgeoid" : "GEOID12B" }, "ldraccur" : { "ldrchacc" : "0", "rawnva" : "0", "rawnvan" : "0", "clsnva" : "0", "clsnvan" : "0", "clsvva" : "0", "clsvvan" : "0" }, "lasinfo" : { "lasver" : "1.4", "lasprf" : "6", "laswheld" : "Geometrically unreliable points were identified using a combination of automated and manual techniques and subsequently classified as high or low noise and given the standard Withheld bit.", "lasolap" : "Swath "overage" points were identified in these files using the standard LAS overlap bit.", "lasintr" : "16", "lasclass" : { "clascode" : "1", "clasitem" : "Processed but not classified" }, "lasclass" : { "clascode" : "2", "clasitem" : "Bare earth ground" }, "lasclass" : { "clascode" : "5", "clasitem" : "Vegetation" }, "lasclass" : { "clascode" : "7", "clasitem" : "Noise" }, "lasclass" : { "clascode" : "9", "clasitem" : "Water" }, "lasclass" : { "clascode" : "10", "clasitem" : "Ignored ground" }, "lasclass" : { "clascode" : "17", "clasitem" : "Bridge Decks" }, "lasclass" : { "clascode" : "18", "clasitem" : "High Noise" } }} return to top distributionInfo: (MD_Distribution) distributionFormat: (MD_Format) name: Zip version: (missing) fileDecompressionTechnique: Zip distributionFormat: (MD_Format) name: LAS/LAZ - LASer version: (missing) fileDecompressionTechnique: Zip 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: NOAA Office for Coastal Management 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=9635/details/9635 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. 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. function: (CI_OnLineFunctionCode) download transferOptions: (MD_DigitalTransferOptions) onLine: (CI_OnlineResource) linkage: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/9635/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. 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. function: (CI_OnLineFunctionCode) download return to top dataQualityInfo: (DQ_DataQuality) scope: (DQ_Scope) level: (MD_ScopeCode) dataset report: (DQ_AbsoluteExternalPositionalAccuracy) nameOfMeasure: Vertical Positional Accuracy evaluationMethodDescription: NOAA collected independent checkpoints located in non-vegetated and vegetated land cover classes in order to perform independent vertical accuracy testing on the lidar point cloud swath and DEM data. Preliminary quantitative value: 0.11 meters RMSE in non-vegetated areas, 0.50 m in vegetated areas. These figures were calculated by Woolpert using the NOAA checkpoints. USGS Determined Vertical Accuracy: Non-Vegetated Vertical Accuracy (NVA) = 21.09 cm at 95% Confidence Level or 10.65 cm RMSE Vegetated Vertical Accuracy (VVA) = 90.91 cm at the 95th Percentile result: (missing) report: (DQ_CompletenessCommission) nameOfMeasure: Completeness Report evaluationMethodDescription: A visual qualitative assessment was performed to ensure data completeness. result: (missing) report: (DQ_ConceptualConsistency) nameOfMeasure: Conceptual Consistency evaluationMethodDescription: Data covers the entire area specified for this project. result: (missing) lineage: (LI_Lineage) statement: (missing) processStep: (LI_ProcessStep) description: Lidar Point Cloud Classification: The Single Photon Lidar (SPL) data acquisition was acquired at a density greater than the task order specified density of QL1 or 8 points per square meter. USGS and NOAA agreed the density of the data should be reduced to provide a more manageable data set. The data was decimated to provide a density not less than 8 points per square meter, however due to significant overlap of acquisition flight lines in some areas of the project, the density in some cases exceeds 8 points per square meter. The Single Photon Lidar (SPL) data acquisition occurred between multiple acquisition seasons creating significant data overlap between seasons. To reduce excessive density, the data was processed to eliminate excess overlap in these areas. The point cloud underwent a classification process to determine bare-earth points and non-ground points utilizing "first and only" as well as "last of many" lidar returns. This process determined Processed, but Unclassified (Class 1), Bare Earth Ground (Class 2), Vegetation (Class 5), Low Noise (Class 7), Water (Class 9), Ignored Ground (Class 10), Bridge Decks (Class 17), and High Noise (Class 18). The bare-earth (Class 2 - Ground) lidar points underwent a manual QA/QC step to verify the quality of the DEM as well as a peer-based QC review. This included a review of the DEM surface to remove artifacts and ensure topographic quality. dateTime: DateTime: 2020-12-29T00:00:00 processStep: (LI_ProcessStep) description: After the bare-earth surface is finalized, it is then used to generate all hydro-breaklines through a semi-automated process. All ground (Class 2) lidar data inside of the Lake Pond and Double Line Drain hydro flattening breaklines were then classified to water (Class 9) using TerraScan/LP360 macro functionality. A buffer of 0.7 meters was also used around each hydro-flattened feature to classify these ground (Class 2) points to Ignored ground (Class 10). All Lake Pond Island and Double Line Drain Island features were checked to ensure that the ground (Class 2) points were reclassified to the correct classification after the automated classification was completed. These classes were created through automated processes only and were not verified for classification accuracy. Due to software limitations within TerraScan, these classes were used to trip the withheld bit within various software packages. These processes were reviewed and accepted by USGS through numerous conference calls and pilot study areas. dateTime: DateTime: 2020-12-29T00:00:00 processStep: (LI_ProcessStep) description: The single photon lidar data acquisition for this award occurred across two separate deployments. The approximate date range of the first acquisition window was from January 2018 to March 2018 and second window was from November 2019 to January 2020. Given the complexity of the terrain, the flight plan for the project included significant overlapping and off-angle lines between the 2018 and 2019/2020 collection which can create more opportunity to notice differences than is normally seen in a lidar collection where lines tend to follow a single direction and acquisition across years is cut into more complete blocks. For each acquisition season, the acquired data was processed and geometrically calibrated by Woolpert's teaming and data acquisition partner Hexagon. During the calibration, the data was processed to meet the required accuracy specifications per each mission as well as between adjacent missions of the differing flight dates within a given acquisition season. Once the calibration was complete and the data entered full processing, Woolpert made the best efforts to populate delivery tiles containing flights from different acquisition seasons with data acquired from a single season. In these tiles preference was given to the points acquired during the 2018 season because of the significant data processing had occurred within these tiles prior to the second acquisition season. In some areas pieces of lines from the different acquisitions created the edge artifacts. Low confidence polygons were generated around these areas to make the user aware of the discrepancy. All data was manually reviewed and any remaining artifacts removed using functionality provided by TerraScan and TerraModeler. Global Mapper was used as a final check of the bare earth dataset. GeoCue was then used to create the deliverable industry-standard LAS files. Woolpert proprietary software and LP360 was used to perform final statistical analysis of the classes in the LAS files, on a per tile level to verify final classification metrics and full LAS header information. dateTime: DateTime: 2020-12-29T00:00:00 processStep: (LI_ProcessStep) description: NOAA Office for Coastal Management received the classified point cloud data from Woolpert in Orthometric (Geoid12b) NAD83(PA11) UTM zone 5 coordinates with units of meters. An examination of the histograms of height by class indicated that some issues with low points. The withheld points were removed as being geometrically unreliable. In addition, all points below -30 meters were reclassed to low noise (class 7). Data were converted to geographic coordinates in ellipsoid heights for use in the Data Access Viewer. dateTime: DateTime: 2022-10-18T00:00:00 processor: (CI_ResponsibleParty) organisationName: NOAA Office for Coastal Management contactInfo: (CI_Contact) phone: (CI_Telephone) voice: (843) 740-1202 address: (CI_Address) electronicMailAddress: coastal.info@noaa.gov role: (CI_RoleCode) processor processStep: (LI_ProcessStep) description: The point clouds for two tiles (5QKB800850.laz and 5QKB810850.laz) were re-examined to find ground points near the cliffs. The lack of ground points identified near the edge caused issues in DEM generation as the TIN process was cutting off the cliffs. This work was done by the original lidar contractor, Woolpert. The original tiles were replaced with the new tiles. dateTime: DateTime: 2023-04-14T00:00:00 processor: (CI_ResponsibleParty) organisationName: NOAA Office for Coastal Management contactInfo: (CI_Contact) phone: (CI_Telephone) voice: (843) 740-1202 address: (CI_Address) electronicMailAddress: coastal.info@noaa.gov role: (CI_RoleCode) processor source: (LI_Source) sourceCitation: (CI_Citation) title: classified lidar data date: (CI_Date) date: 2022-10-14 dateType: (CI_DateTypeCode) publication citedResponsibleParty: (CI_ResponsibleParty) organisationName: Woolpert role: (CI_RoleCode) originator processStep: (LI_ProcessStep) description: The vertical values in this data set have been converted to reference GPS-derived orthometric height via GEOID model (GEOID12B) meters, using the GEOID12B 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 (https://rapidlasso.de/laszip/) Processing notes: dateTime: DateTime: 2024-10-22T10:37:11 processor: (CI_ResponsibleParty) individualName: NOAA Office for Coastal Management contactInfo: (CI_Contact) address: (CI_Address) electronicMailAddress: coastal.info@noaa.gov role: (CI_RoleCode) processor | |