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2016 FEMA Lidar: Malheur, OR
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    identificationInfo:  (MD_DataIdentification)
        citation:  (CI_Citation)
            title:  2016 FEMA Lidar: Malheur, OR
            alternateTitle:  2016_FEMA_Malheur_OR
            date:  (CI_Date)
                date:  2019-11-25
                dateType:  (CI_DateTypeCode) publication
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                    title:  NOAA/NMFS/EDM
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                code:
                  Anchor:  InPort Catalog ID 58242
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                contactInfo:  (CI_Contact)
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                        linkage: https://www.fisheries.noaa.gov/inport/item/58242
                        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.
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                        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
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        abstract:  This data set is a high resolution data set of lidar covering the total task order area (approximately 885 square miles) in southeast Oregon. The lidar data was acquired and processed under the requirements identified in this task order. The data delivered in this task order is compliant with US. Geological Survey National Geospatial Program Lidar Base Specification Version 1.2. Lidar data is a remotely sensed high resolution elevation data collected by an airborne platform. The lidar sensor uses a combination of laser range finding, GPS positioning, and inertial measurement technologies. The lidar systems collect data point clouds that are used to produce highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures, and vegetation. The task required the LiDAR data to be collected at a nominal pulse spacing (NPS) of 0.35 meters. The final products include classified LAS, 0.5 meter pixel raster DEMs of the bare-earth surface in ERDAS IMG Format, and Intensity data in TIFF format. Tiled data was delivered in 1500m x 1500m tiles. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. Additional deliverables include hydrologic breakline data, bridge abutment breaklines, control data, project boundary, and tile index provided as ESRI shapefile, lidar processing and survey reports in PDF format, FGDC metadata files for each data deliverable in .xml format, and LAS swath data. Ground conditions: Water at normal levels; no unusual inundation; no snow; leaf off. FEMA HQ Malheur, OR QL1 Lidar 0.35m NPS Lidar Data Acquisition and Processing Production Task USGS Contract No. G10PC00057 Task Order No. G15PD00642 Woolpert Order No. 75818 Contractor: Woolpert, Inc. This data set is an LAZ (compressed LAS) format file containing LIDAR point cloud data.
        purpose:  Data is used for mapping to assist in geologic hazards mapping such as landslide hazard maps.
        credit:  FEMA, Woolpert, OLC 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 Apr 01, 2022 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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                    deliveryPoint:  2234 South Hobson Avenue
                    city:  Charleston
                    administrativeArea:  SC
                    postalCode:  29405-2413
                    country: (missing)
                    electronicMailAddress: (missing)
                onlineResource:  (CI_OnlineResource)
                    linkage: https://www.coast.noaa.gov/
                    protocol:  WWW:LINK-1.0-http--link
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        graphicOverview:  (MD_BrowseGraphic)
            fileName: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8929/supplemental/extent_2016_FEMA_Malheur_m8929.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
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                title:  Global Change Master Directory (GCMD) Science Keywords
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                edition:  12.3
        descriptiveKeywords:  (MD_Keywords)
            keyword:  CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
            keyword:  CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > OREGON
            keyword:  VERTICAL LOCATION > LAND SURFACE
            keyword:  VERTICAL LOCATION > SEA FLOOR
            keyword:  Continent > North America > United States
            keyword:  Continent > North America > United States Of America > U.S. Coastline
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                date: (missing)
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            keyword:  AIRCRAFT
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                title:  Global Change Master Directory (GCMD) Platform Keywords
                date: (missing)
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        descriptiveKeywords:  (MD_Keywords)
            keyword:  Earth Remote Sensing Instruments > Active Remote Sensing > Profilers/Sounders > Lidar/Laser Sounders > LIDAR > Light Detection and Ranging
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                date: (missing)
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            keyword:  Lidar - partner (no harvest)
            type:  (MD_KeywordTypeCode) project
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                title:  InPort
                date: (inapplicable)
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            otherConstraints:  Cite As: OCM Partners, [Date of Access]: 2016 FEMA Lidar: Malheur, OR [Data Date Range], https://www.fisheries.noaa.gov/inport/item/58242.
        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: Woolpert prepared the original data as set forth in the Scope of Services, in accordance with reasonable care and due diligence as set forth in this Agreement, however, due to the easily alterable nature of electronic media, files, documents, and other deliverables, Woolpert, Inc. makes no warranties, either expressed or implied, with respect to the accuracy, completeness, merchantability, or fitness for any particular purpose, including, but not limited to, use of any/all data as described within this metadata file, by any user of this data. Any use will be at the end-user’s sole risk. Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners
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                title:  2016 FEMA Lidar DEM, Malheur, OR
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                        title:  NOAA/NMFS/EDM
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                    code:  58252
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                            linkage: https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/58242.pdf
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        spatialRepresentationType:  (MD_SpatialRepresentationTypeCode) vector
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            distance:
              Distance:  .25
        language:  eng; US
        topicCategory:  (MD_TopicCategoryCode) elevation
        environmentDescription:  Microsoft Windows 7 Version 6.1 (Build 7600); ArcMap 10.2; ArcCatalog 10.2; TerraScan ver. 16.01; Global Mapper v.17 TerraModeler ver. 16.01; Geocue 2014.1.21; LP360 2015.1. Leica Lidar Survey Studio Approximate size of entire delivery dataset = 3.0 TB
        extent:  (EX_Extent)
            geographicElement:  (EX_GeographicBoundingBox)
                westBoundLongitude:  -117.532244
                eastBoundLongitude:  -116.562224
                southBoundLatitude:  42.403149
                northBoundLatitude:  43.191709
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                extent:
                  TimeInstant:
                    description:   | Currentness: Ground Condition
                    timePosition:  2016-03-23
            temporalElement:  (EX_TemporalExtent)
                extent:
                  TimeInstant:
                    description:   | Currentness: Ground Condition
                    timePosition:  2016-03-24
            temporalElement:  (EX_TemporalExtent)
                extent:
                  TimeInstant:
                    description:   | Currentness: Ground Condition
                    timePosition:  2016-03-25
            temporalElement:  (EX_TemporalExtent)
                extent:
                  TimeInstant:
                    description:   | Currentness: Ground Condition
                    timePosition:  2016-03-26
            temporalElement:  (EX_TemporalExtent)
                extent:
                  TimeInstant:
                    description:   | Currentness: Ground Condition
                    timePosition:  2016-03-30
            temporalElement:  (EX_TemporalExtent)
                extent:
                  TimeInstant:
                    description:   | Currentness: Ground Condition
                    timePosition:  2016-03-31
            temporalElement:  (EX_TemporalExtent)
                extent:
                  TimeInstant:
                    description:   | Currentness: Ground Condition
                    timePosition:  2016-04-02
            temporalElement:  (EX_TemporalExtent)
                extent:
                  TimeInstant:
                    description:   | Currentness: Ground Condition
                    timePosition:  2016-04-03
            temporalElement:  (EX_TemporalExtent)
                extent:
                  TimeInstant:
                    description:   | Currentness: Ground Condition
                    timePosition:  2016-04-06
            temporalElement:  (EX_TemporalExtent)
                extent:
                  TimeInstant:
                    description:   | Currentness: Ground Condition
                    timePosition:  2016-04-07
            temporalElement:  (EX_TemporalExtent)
                extent:
                  TimeInstant:
                    description:   | Currentness: Ground Condition
                    timePosition:  2016-04-08
            temporalElement:  (EX_TemporalExtent)
                extent:
                  TimeInstant:
                    description:   | Currentness: Ground Condition
                    timePosition:  2016-04-09
            temporalElement:  (EX_TemporalExtent)
                extent:
                  TimeInstant:
                    description:   | Currentness: Ground Condition
                    timePosition:  2016-06-08
            temporalElement:  (EX_TemporalExtent)
                extent:
                  TimeInstant:
                    description:   | Currentness: Ground Condition
                    timePosition:  2016-06-09
            temporalElement:  (EX_TemporalExtent)
                extent:
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                    description:   | Currentness: Ground Condition
                    timePosition:  2016-06-10
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                extent:
                  TimeInstant:
                    description:   | Currentness: Ground Condition
                    timePosition:  2016-06-15
        supplementalInformation:  The following are the USGS lidar fields in JSON: { "ldrinfo" : { "ldrspec" : "USGS NGP Base Specifications v1.2", "ldrsens" : "Leica Dual-Head DragonEye", "ldrmaxnr" : "15", "ldrnps" : "0.350", "ldranps" : "0.350", "ldrdens" : "8", "ldradens" : "8", "ldrfltht" : "900", "ldrfltsp" : "125", "ldrscana" : "40", "ldrscanr" : "50", "ldrpulsr" : "520", "ldrpulsd" : "5", "ldrpulsw" : "2.5", "ldrwavel" : "1064", "ldrmpia" : "1", "ldrbmdiv" : "0.20", "ldrswatw" : "655", "ldrswato" : "15", "ldrcrs" : "NAD83(2011) UTM11N meters", "ldrgeoid" : "GEOID12B" }, "ldraccur" : { "ldrchacc" : "0.163", "rawnva" : "0.096", "rawnvan" : "106", "clsnva" : "0.072", "clsvva" : "0.145" }, "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.", "lasolap" : "Swath overlap points were identified in these files by adding 16 to the standard classification values yielding overlap default and overlap ground, overlap water, and overlap ignored ground. Flags were then applied to these points and subsequently reclassified to their respective standard classification values", "lasintr" : "16", "lasclass" : { "clascode" : "1", "clasitem" : "default/unclassified" }, "lasclass" : { "clascode" : "2", "clasitem" : "Bare-earth" }, "lasclass" : { "clascode" : "7", "clasitem" : "Low noise" }, "lasclass" : { "clascode" : "9", "clasitem" : "Water" }, "lasclass" : { "clascode" : "10", "clasitem" : "Ignored ground" }, "lasclass" : { "clascode" : "17", "clasitem" : "Bridge Decks" }, "lasclass" : { "clascode" : "18", "clasitem" : "High Noise" } }}
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                        deliveryPoint:  2234 South Hobson Ave
                        city:  Charleston
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            onLine:  (CI_OnlineResource)
                linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8929
                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/8929/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
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    dataQualityInfo:  (DQ_DataQuality)
        scope:  (DQ_Scope)
            level:  (MD_ScopeCode) dataset
        report:  (DQ_AbsoluteExternalPositionalAccuracy)
            nameOfMeasure:  Horizontal Positional Accuracy
            evaluationMethodDescription:  Produced to meet 0.163 meters horizontal accuracy at 95 percent confidence level. Quantitative value: 0.163 meters, Test that produced the valued: Lidar system specifications are available in the project report
            result: (missing)
        report:  (DQ_AbsoluteExternalPositionalAccuracy)
            nameOfMeasure:  Vertical Positional Accuracy
            evaluationMethodDescription:  LAS data covering the FEMA HQ Malheur, OR QL1 Lidar Task Order was compared to independent survey control points to determine the NVA of the Raw Swath and of the Bare-Earth DEM. In addition, this LAS data was compared to independent VVA points. Raw Swath Non-Vegetated Vertical Accuracy (NVA) Tested 0.096 Meters at a 95 percent confidence level, derived according to NSSDA, in open terrain using (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 and tested against the TIN using all points. Relative accuracy also known as "between swath" accuracy was tested through a series of well distributed flight line overlap locations. The relative accuracy for the FEMA HQ Malheur, OR QL1 Lidar tested at 0.024 meters RMSDz. 106 NVA checkpoints were used. VVA Errors larger than 95th percentile include: Point 3026A, Easting 498042.052, Northing 4742435.108, Z-Error 0.182 Meters Point 3028, Easting 477766.450, Northing 4776987.527, Z-Error 0.148 Meters Point 3031A, Easting 453424.625, Northing 4745041.067, Z-Error 0.147 Meters Point 3036A, Easting 496091.977, Northing 4784616.171, Z-Error 0.170 Meters
            result: (missing)
        report:  (DQ_CompletenessCommission)
            nameOfMeasure:  Completeness Report
            evaluationMethodDescription:  The lidar data is visually inspected for completeness to ensure that are no void areas or missing data.
            result: (missing)
        report:  (DQ_ConceptualConsistency)
            nameOfMeasure:  Conceptual Consistency
            evaluationMethodDescription:  All formatted data cover the entire area specified for this project and are validated using a combination of commercial lidar processing software, GIS software, and proprietary programs to ensure proper formatting and loading prior to delivery.
            result: (missing)
        lineage:  (LI_Lineage)
            statement: (missing)
            processStep:  (LI_ProcessStep)
                description:  All lidar data were acquired using a Dual-Head DragonEye (DE) sensor owned and operated by GDS installed in a Cessna 401. The sensor was mounted in a Leica PAV100 gyro-stabilized mount integrated with a NovAtel SPAN GNSS and LCI-100C IMU. Real time navigation and GNSS/IMU data logging was provided by Leica FlightPro software. Lidar data were logged on the Airborne Hydrography, AB (AHAB) operator console. A calibration flight was conducted at Nampa Airport, ID on 30 March, 2016. Project data were acquired from 23 March 2016 until 09 April, 2016. Some blocks remained snow covered at this time. Once the snow had cleared, calibration flights were conducted at Nampa Airport, ID on 08 and 09 June, 2016, with the final survey data being acquired on 10 June and 15 June, 2016. Field calibration of the DE system is carried out to eliminate systematic errors by calculating corrections for boresight errors, scanner angle errors, remaining IMU angle errors and any necessary internal timing errors. Initial data coverage analysis and quality checks were performed to ensure there were no potential system issues were carried out in the field prior to demobilization of the sensor. Data were initially processed in Leica’s Lidar Survey Studio (LSS) using final processed trajectory information. LAS files from LSS were imported to a Terrascan project where spatial algorithms were used to remove gross system noise and a basic ground classification was conducted per flight line for Terra Match use. TMatch was then run on the project, and a comparison to the lidar control points was conducted. This calibrated/controlled LAS dataset was then provided to Woolpert for further processing and deliverable production.
                dateTime:
                  DateTime:  2016-03-23T00:00:00
            processStep:  (LI_ProcessStep)
                description:  Woolpert utilized 2 Trimble Navigation R10 Model GNSS dual-frequency GPS receivers and 1 TSC3 data collector for this project. The field crew utilized Real-Time Kinematic (RTK) and GPS Rapid Static methods throughout the ground control data collection process. Using these techniques, observations were performed on a total of 244 LiDAR control points. The survey was conducted using a 1-second epoch rate, in a fixed solution RTK mode, with each observation lasting between 60 to 180 seconds. Each station was occupied twice to insure the necessary horizontal and vertical accuracies were being met for this LiDAR / photogrammetric project.
                dateTime:
                  DateTime:  2016-03-09T00:00:00
            processStep:  (LI_ProcessStep)
                description:  Once calibration of the flightline data was completed by GDS the data was then provided to Woolpert. 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 Default (Class 1), Ground (Class 2), 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. Classification of water (class 9) and ignored ground (class 10) was completed via the use of the hydrologic breaklines collected for the hydro-flattening phase. The overlap classes were determined by first identifying the overlapping areas and reclassifying the LAS data by offset from a corridor. This allows the returns located on the edge of the swath to be removed from the bare earth coverage in an effort to produce a more uniform data density. The returns determined to be overlap including overlap default, ground, water, and ignored ground are then applied an overlap flag and reclassified to their respective standard classification value. 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. The resulting deliverables for this task order consist of classified LAS file in LAS 1.4 format, Raw Swath LAS files in LAS 1.4 format, 0.5 meter pixel size DEM files in ERDAS IMG format, 8-bit Intensity files in GeoTIFF format, Hydrologic and Bridge abutment breakline data in ESRI Geodatabase format.
                dateTime:
                  DateTime:  2016-03-23T00:00:00
            processStep:  (LI_ProcessStep)
                description:  NOAA/OCM received the data from DOGAMI in LAZ format . Data were in NAD83(2011) UTM 11N horizontally and NAVD88 (Geoid12b) vertically. All units were international feet. For ingest into the Digital Coast Data Access Viewer data were converted to geographic coordinates on the GRS80 ellipsoid in meters.
                processor:  (CI_ResponsibleParty)
                    organisationName:  Office for Coastal Management
                    role:  (CI_RoleCode) processor
            source:  (LI_Source)
                description:  Source Contribution: This data set is the project specified acquired point cloud data.
                sourceCitation:  (CI_Citation)
                    title:  Lidar acquisition
                    date:  (CI_Date)
                        date:  2016-10-31
                        dateType:  (CI_DateTypeCode) publication
                    citedResponsibleParty:  (CI_ResponsibleParty)
                        organisationName:  Geomatics Data Solutions
                        role:  (CI_RoleCode) originator
                sourceExtent:  (EX_Extent)
                    temporalElement:  (EX_TemporalExtent)
                        extent:
                          TimeInstant:
                            timePosition:  2016-03-23
            source:  (LI_Source)
                description:  Source Contribution: This data set is the project specified lidar deliverables.
                sourceCitation:  (CI_Citation)
                    title:  Lidar deliverable processing
                    date:  (CI_Date)
                        date:  2016-10-31
                        dateType:  (CI_DateTypeCode) publication
                    citedResponsibleParty:  (CI_ResponsibleParty)
                        organisationName:  Woolpert
                        role:  (CI_RoleCode) originator
                sourceExtent:  (EX_Extent)
                    temporalElement:  (EX_TemporalExtent)
                        extent:
                          TimeInstant:
                            timePosition:  2016-03-23
            source:  (LI_Source)
                description:  Source Contribution: This data set is the project specified acquired ground control and QAQC control data.
                sourceCitation:  (CI_Citation)
                    title:  Survey Control Acquisition
                    date:  (CI_Date)
                        date:  2016-10-31
                        dateType:  (CI_DateTypeCode) publication
                    citedResponsibleParty:  (CI_ResponsibleParty)
                        organisationName:  Woolpert
                        role:  (CI_RoleCode) originator
                sourceExtent:  (EX_Extent)
                    temporalElement:  (EX_TemporalExtent)
                        extent:
                          TimeInstant:
                            timePosition:  2016-03-09
            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:  2022-04-01T07:43:36
                processor:  (CI_ResponsibleParty)
                    individualName:  NOAA Office for Coastal Management
                    contactInfo:  (CI_Contact)
                        address:  (CI_Address)
                            electronicMailAddress:  coastal.info@noaa.gov
                    role:  (CI_RoleCode) processor