| 2017 OLC Lidar DEM: Baker County, OR | spatialRepresentationInfo|
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| (MI_Metadata) fileIdentifier: gov.noaa.nmfs.inport:59003 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: 2020-03-06T14:32:14 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 OLC Lidar DEM: Baker County, OR date: (CI_Date) date: 2018-01-15 dateType: (CI_DateTypeCode) publication identifier: (MD_Identifier) authority: (CI_Citation) title: NOAA/NMFS/EDM date: (inapplicable) code: Anchor: InPort Catalog ID 59003 citedResponsibleParty: (CI_ResponsibleParty) organisationName: (inapplicable) contactInfo: (CI_Contact) onlineResource: (CI_OnlineResource) linkage: https://coast.noaa.gov/htdata/lidar3_z/geoid18/data/9043/supplemental/OLC_BAKER_COUNTY_3DEP_2017_REPORT.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: Geographic Extent: OLC Baker County 3DEP 2017 defined project area (DPA) extends approximately 224,286 acres; the buffered project area (BPA) covers approximately 229,671 acres. This bare earth hydro flattened digital elevation model (DEM) represents the earth's surface with all vegetation and human-made structures removed and hydro flattening performed within the OLC Baker County 3DEP 2017 defined project area. Bare Earth Hydro Flattened DEMs were derived from LiDAR data using TIN processing of the ground point returns. The DEM grid cell size is 1 meter. The data were developed based on the UTM 11N projection; horizontal datum of NAD83 (2011), meters and vertical datum of NAVD88 Geoid 12B, meters. See Process Steps for derivation of raster datasets. Dataset Description: The OLC Baker County 3DEP 2017 LiDAR project called for the Planning, Acquisition, processing and derivative products of LIDAR data to be collected at a nominal pulse spacing (NPS) of 0.35 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program LIDAR Base Specification, Version 1.2. The data were developed based on a horizontal projection/datum of NAD83 (2011), meters and vertical datum of NAVD88 Geoid 12B, meters. LiDAR data was delivered in RAW flight line swath format, processed to create Classified LAS 1.4 Files formatted to individual 0.075 USGS quadrangle tiles, and corresponding hydroconditioned Bare Earth DEMs tiled to 7.5 USGS quadrangle schema, and Breaklines in ESRI File-Geodatabase format. Ground Conditions: LiDAR was collected 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, QSI established a total of 34 QA control points and 637 control points that were used to calibrate the LIDAR to known ground locations established throughout the OLC Baker County 3DEP 2017 project area. purpose: Classified LAS files are used to show the manually reviewed bare earth surface. This allows the user to create Intensity Images, Breaklines and Raster DEM. The purpose of these lidar data was to produce high accuracy 3D hydro-flattened Digital Elevation Model (DEM) with a 1 meter cell size. credit: Quantum Spatial, Inc. flew the LiDAR and processed the data., Quantum Spatial, Inc. DOGAMI 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) notPlanned graphicOverview: (MD_BrowseGraphic) fileName: https://coast.noaa.gov/htdata/lidar3_z/geoid18/data/9043/supplemental/extent_2017_baker_OR_m9043.kmz fileDescription: This graphic displays the footprint for this lidar data set. fileType: KML descriptiveKeywords: (MD_Keywords) keyword: Lidar type: (MD_KeywordTypeCode) theme 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 > Oregon keyword: Continent > North America > United States Of America > Oregon > Baker County 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: 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: NOAA Data Management Plan (DMP) date: (unknown) identifier: (MD_Identifier) authority: (CI_Citation) title: NOAA/NMFS/EDM date: (inapplicable) code: 59003 citedResponsibleParty: (CI_ResponsibleParty) organisationName: (inapplicable) contactInfo: (CI_Contact) onlineResource: (CI_OnlineResource) linkage: https://inport.nmfs.noaa.gov/inport-metadata/NOAA/NOS/OCMP/dmp/pdf/59003.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 spatialResolution: (MD_Resolution) distance: Distance: 1 language: eng; US topicCategory: (MD_TopicCategoryCode) elevation topicCategory: (MD_TopicCategoryCode) elevation environmentDescription: Inertial Explorer Version 8.7, Leica CloudPro Version 1.2.4, Microstation Version 8.0, TerraScan Version 17, TerraModeler Version 17, TerraMatch Version 17, ESRI ArcGIS 10.3.1, Windows 7 Operating System extent: (EX_Extent) geographicElement: (EX_GeographicBoundingBox) westBoundLongitude: -117.55254 eastBoundLongitude: -116.843571 southBoundLatitude: 44.285409 northBoundLatitude: 44.997606 temporalElement: (EX_TemporalExtent) extent: TimePeriod: description: | Currentness: Ground Condition beginPosition: 2017-09-26 endPosition: 2017-09-30 supplementalInformation: CONTRACTOR: Quantum Spatial, Inc. Ground Control Points were acquired and calibrated by Quantum Spatial, Inc. All Lidar data acquisition, calibration, and follow-on processing were completed by the prime contractor. return to top distributionInfo: (MD_Distribution) distributionFormat: (MD_Format) name: Zip version: (missing) fileDecompressionTechnique: Zip distributionFormat: (MD_Format) name: GeoTIFF (.tif) 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=9045 protocol: WWW:LINK-1.0-http--link name: Customized Download description: Create custom data files by choosing data area, map projection, file format, etc. A new metadata will be produced to reflect your request using this record as a base. function: (CI_OnLineFunctionCode) download transferOptions: (MD_DigitalTransferOptions) onLine: (CI_OnlineResource) linkage: https://coast.noaa.gov/htdata/raster2/elevation/OLC_baker_DEM_2017_9045 protocol: WWW:LINK-1.0-http--link name: Bulk Download description: Bulk download of data files in the original coordinate system. 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: LAS data from the OLC Baker County 3DEP 2017 project was compared to independent ground check points to determine the NVA of the LAS Swath and of the Bare Earth DEM. LAS Swath NonVegetated Vertical Accuracy (NVA) Tested 0.055 meter non-vegetated vertical accuracy at a 95 percent confidence level, derived according to NSSDA, in open terrain using 0.028 meter (RMSEz) x 1.96000 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines. Bare earth DEM Non-vegetated Vertical Accuracy (NVA) tested 0.055 meter non-vegetated vertical accuracy at a 95 percent confidence level, derived according to NSSDA, in open terrain using 0.028 meter (RMSEz) x 1.96000 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines. Raw Swath NonVegetated Vertical Accuracy (NVA) Tested 0.055 meter non vegetated vertical accuracy at a 95 percent confidence level, derived according to NSSDA, in open terrain using 0.028 meter(RMSEz) x 1.96000 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported against 34 NVA points using National Digital Elevation Program (NDEP)/ASPRS Guidelines and tested against the TIN. Swath points flagged as withheld were not included in the accuracy test. BareEarth DEM NonVegetated Vertical Accuracy (NVA) Tested 0.055 meter Non-vegetated vertical accuracy at a 95 percent confidence level, derived according to NSSDA, in open terrain using 0.028 meter (RMSEz) x 1.96000 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported against 34 NVA points using National Digital Elevation Program (NDEP)/ASPRS Guidelines and tested against the DEM. Vegetated Vertical Accuracy (VVA): The required accuracy of the VVA at the 95th percentile according to specification is 0.294 meter. The VVA tested 0.276 meter at the 95th percentile using National Digital Elevation Program (NDEP)/ASPRS Guidelines against the DEM using 33 VVA points. result: (missing) report: (DQ_CompletenessCommission) nameOfMeasure: Completeness Report evaluationMethodDescription: Datasets contain complete coverage of tiles. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. There are no void areas or missing data. The raw point cloud is of good quality and data passes Nonvegetated Vertical Accuracy specifications. result: (missing) report: (DQ_ConceptualConsistency) nameOfMeasure: Conceptual Consistency evaluationMethodDescription: Classified LAS files were tested by QSI for both vertical and horizontal accuracy. All data is seamless from one tile to the next, no gaps or no data areas. result: (missing) lineage: (LI_Lineage) statement: (missing) processStep: (LI_ProcessStep) description: Lidar Pre-Processing: Airborne GPS and IMU data were merged to develop a Single Best Estimate (SBET) of the lidar system trajectory for each lift. Lidar ranging data were initially calibrated using previous best parameters for this instrument and aircraft. Relative calibration was evaluated using advanced plane-matching analysis and parameter corrections derived. This was repeated iteratively until residual errors between overlapping swaths, across all project lifts, was reduced to acceptable levels. Data were then block adjusted to match surveyed calibration control. Raw data NVA were checked using independently surveyed checkpoints. Swath overage points were identified and tagged within each swath file. dateTime: DateTime: 2017-10-01T00:00:00 processStep: (LI_ProcessStep) description: Lidar Post-Processing: The calibrated and controlled lidar swaths were processed using automatic point classification routines in proprietary software. These routines operate against the entire collection (all swaths, all lifts), eliminating character differences between files. Data were then distributed as virtual tiles to experienced lidar analysts for localized automatic classification, manual editing, and peer-based QC checks. Supervisory QC monitoring of work in progress and completed editing ensured consistency of classification character and adherence to project requirements across the entire project area. All classification tags are stored in the original swath files. After completion of classification and final QC approval, the NVA for the project is calculated. Sample areas for each land cover type present in the project area were extracted and forwarded to the U.S. Geological Survey, for Vegetated Vertical Accuracy (VVA) accuracy tests. Upon acceptance, the complete classified lidar swath files were delivered to the U.S. Geological Survey. dateTime: DateTime: 2017-10-01T00:00:00 processStep: (LI_ProcessStep) description: Classified LAS Processing: The bare earth surface is then manually reviewed to ensure correct classification on the Class 2 (Ground) points. After the bare-earth surface is finalized, it is then used to generate all hydro-breaklines through heads-up digitization. All ground (ASPRS Class 2) LiDAR data inside of the Lake Pond and Double Line Drain hydro flattening breaklines were then classified to water (ASPRS Class 9) using TerraScan macro functionality. A buffer of 0.35 meters was also used around each hydro-flattened feature to classify these ground (ASPRS Class 2) points to Ignored ground (ASPRS Class 10). All Lake Pond Island and Double Line Drain Island features were checked to ensure that the ground (ASPRS Class 2) points were reclassified to the correct classification after the automated classification was completed. All overlap data was processed through automated functionality provided by TerraScan to classify the overlapping flight line data to approved classes by USGS. The overlap data was classified to Class 18 (High Noise) and Class 129 (Overlap Ground). 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. All data was manually reviewed and any remaining artifacts removed using functionality provided by TerraScan and TerraModeler. ArcMap us used as a final check of the bare earth dataset. QSI proprietary software was then used to create the deliverable industry-standard LAS files. QSI proprietary software 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: 2017-10-01T00:00:00 processStep: (LI_ProcessStep) description: Hydro Flattening Breakline Processing: Class 2 LiDAR was used to create a bare earth surface model. Proprietary software utilized rasters created within Bentley Microstation to auto-generate breaklines of inland streams and rivers with a 30 meter nominal width which were then manually inspected and digitized. Breaklines for Lakes with surface area greater than 2 acres were generated using heads-up digitization. Elevation values were assigned to all Inland Ponds and Lakes within ESRI ArcMap; Inland Pond and Lake Islands, Inland Stream and River Islands were assigned elevation values from within ESRI ArcMap. All ground (ASPRS Class 2) LiDAR data inside of the collected inland breaklines were then classified to water (ASPRS Class 9) using TerraScan macro functionality. A buffer of 0.35 meters was also used around each hydro-flattened stream. These points were moved from ground (ASPRS Class 2) to Ignored Ground (ASPRS Class 10). The breakline files were then translated to ESRI File-Geodatabase format using ESRI conversion tools. dateTime: DateTime: 2017-10-01T00:00:00 processStep: (LI_ProcessStep) description: Hydro Flattened Raster DEM Process: Class 2 LiDAR in conjunction with the hydro breaklines were used to create a hydro-flattened DEM. Using automated scripting routines within Bentley Microstation, ascii files were created for each tile. The ascii files are then mosaicked together in ArcMap and reviewed for surface anomalies. dateTime: DateTime: 2017-10-01T00:00:00 processStep: (LI_ProcessStep) description: The NOAA Office for Coastal Management (OCM) received 1,838 IMG files from the Oregon Lidar Consortium/ DOGAMI. The data were in UTM Zone 11N (NAD83 2011) coordinates in meters and NAVD88 (Geoid12b) elevations in meters, at 1-m spatial resolution. OCM converted the files from .IMG format to Geotiff format using gdal_warp. The files were then assigned the EPSG codes of 6340 (horizontal) and 5703 (vertical) and then copied to https for Digital Coast storage and provisioning purposes. processor: (CI_ResponsibleParty) organisationName: Office for Coastal Management role: (CI_RoleCode) processor source: (LI_Source) description: Source Contribution: This data source was used to populate the lidar point cloud data. sourceCitation: (CI_Citation) title: Lidar RAW Data for OLC Baker County 3DEP 2017 date: (CI_Date) date: 2018-01-15 dateType: (CI_DateTypeCode) publication citedResponsibleParty: (CI_ResponsibleParty) organisationName: Quantum Spatial, Inc. role: (CI_RoleCode) originator sourceExtent: (EX_Extent) temporalElement: (EX_TemporalExtent) extent: TimePeriod: beginPosition: 2017-09-26 endPosition: 2017-09-30 source: (LI_Source) description: Source Contribution: This data source was used (along with the airborne GPS/IMU Data) to aid in the georeferencing of the lidar point cloud data. sourceCitation: (CI_Citation) title: Survey Report of LiDAR Ground Control Points: OLC Baker County 3DEP 2017 LiDAR date: (CI_Date) date: 2018-01-15 dateType: (CI_DateTypeCode) publication citedResponsibleParty: (CI_ResponsibleParty) organisationName: Quantum Spatial, Inc. role: (CI_RoleCode) originator sourceExtent: (EX_Extent) temporalElement: (EX_TemporalExtent) extent: TimeInstant: timePosition: 2017 source: (LI_Source) description: Source Contribution: This data source was used (along with the lidar intensity imagery) to QC and vertically adjust the lidar point cloud data. scaleDenominator: (MD_RepresentativeFraction) denominator: 50 sourceCitation: (CI_Citation) title: Survey Report of LiDAR Quality Control Points: OLC Baker County 3DEP 2017 LiDAR date: (CI_Date) date: 2018-01-15 dateType: (CI_DateTypeCode) publication citedResponsibleParty: (CI_ResponsibleParty) organisationName: Quantum Spatial, Inc. role: (CI_RoleCode) originator sourceExtent: (EX_Extent) temporalElement: (EX_TemporalExtent) extent: TimeInstant: timePosition: 2017 | |