58730 mi2015_bar_marq_m9009_metadata Data Set Published / External 49401 Lidar - partner (no harvest) Project Completed 2015 This metadata record describes the Classified Point Cloud (LAS) for the 2015 Michigan LiDAR project covering approximately 1069 square miles in Baraga County and approximately 3425 square miles in Marquette County. The NOAA Office for Coastal Management (OCM) downloaded 2 data sets from this USGS site: ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/ The data sets downloaded were: USGS_LPC_MI_Baraga_2015_LAS_2018/ Number of files: 4381 USGS_LPC_MI_Marquette_2015_LAS_2018/ Number of files: 8705 These files were processed to the Data Access Viewer (DAV) and https. The total number of files downloaded and processed was 13,086. Hydro breaklines are also available. These data are available for download at the link provided in the URL section of this metadata record. Please note that these products have not been reviewed by the NOAA Office for Coastal Management (OCM) and any conclusions drawn from the analysis of this information are not the responsibility of NOAA or OCM. To acquire detailed surface elevation data for use in conservation planning, design, research, floodplain mapping, dam safety assessments, and hydrologic modeling. LAS data products are suitable for 1 foot contour generation. USGS LiDAR Base Specification 1.0, QL2. 24.5 cm FVA. Project collection parameters: Projection, Datums and Units. Projection - State Plane Michigan North. Horizontal datum - North American Datum of 1983 (NAD83 (2011)). Vertical datum - North American Vertical Datum of 1988 (NAVD88) using the latest geoid (Geoid12a) for converting ellipsoidal heights to orthometric heights. Units - intl feet The following are the USGS lidar fields in JSON: { "ldrinfo" : { "ldrspec" : "USGS Base Specification 1.0, QL2 meeting 24.5cm FVA", "ldrsens" : "Leica ALS70", "ldrmaxnr" : "4", "ldrnps" : "0.65", "ldrdens" : "1.67", "ldradens" : "2.2", "ldranps" : "0.71", "ldrfltht" : "2250", "ldrfltsp" : "135", "ldrscana" : "32", "ldrscanr" : "64", "ldrpulsr" : "167", "ldrpulsd" : "10", "ldrpulsw" : "3", "ldrwavel" : "1064", "ldrmpia" : "1", "ldrbmdiv" : "0.3", "ldrswatw" : "1222", "ldrswato" : "30", "ldrcrs" : "NAD_1983_2011_State_Plane_Michigan_North_2111_Ft_Intl", "ldrgeoid" : "NGS Geoid12a" }, "ldraccur" : { "ldrchacc" : "1.0", "rawfva" : "0.169", "clsfva" : "0.175", "clscva" : "0.271", "clssvas" : { "svalctyp" : "LowVeg", "svavalue" : "0.242" }, "clssvas" : { "svalctyp" : "MedVeg", "svavalue" : "0.329" }, "clssvas" : { "svalctyp" : "HighVeg", "svavalue" : "0.263" } }, "lasinfo" : { "lasver" : "1.2", "lasprf" : "1", "laswheld" : "Withheld (ignore) points were identified in these files using class 10.", "lasolap" : "Swath "overage" points were identified in these files by classifying to class 11.", "lasintr" : "10", "lasclass" : { "clascode" : "1", "clasitem" : "Unclassified" }, "lasclass" : { "clascode" : "2", "clasitem" : "Bare-earth" }, "lasclass" : { "clascode" : "7", "clasitem" : "All noise" }, "lasclass" : { "clascode" : "9", "clasitem" : "Water" }, "lasclass" : { "clascode" : "10", "clasitem" : "Ignored Ground (Breakline Proximity)" }, "lasclass" : { "clascode" : "11", "clasitem" : "Withheld (overlap)" }, "lasclass" : { "clascode" : "17", "clasitem" : "Bridges (most bridges are in class 1)" } }} Theme Global Change Master Directory (GCMD) Science Keywords EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION Theme ISO 19115 Topic Category elevation Spatial Global Change Master Directory (GCMD) Location Keywords CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA Spatial Global Change Master Directory (GCMD) Location Keywords CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > MICHIGAN Spatial Global Change Master Directory (GCMD) Location Keywords VERTICAL LOCATION > LAND SURFACE Instrument Global Change Master Directory (GCMD) Instrument Keywords LIDAR > Light Detection and Ranging Platform Global Change Master Directory (GCMD) Platform Keywords Airplane > Airplane Theme MI ALS70 Theme MI Bare Earth Theme MI Contour Theme MI Digital Elevation Model (DEM) Theme MI Digital Surface Model (DSM) Theme MI Digital Terrain Model (DTM) Theme MI First Return Theme MI Grid Theme MI IMG Theme MI Intensity return Theme MI LAS Theme MI LiDAR Theme MI Overlap points Theme MI Unclassified points Theme MI Water points Theme MI ground points Theme MI mapping Theme MI point cloud Theme beach Theme erosion Spatial Continent > North America > United States Of America > Michigan > Baraga County Spatial Continent > North America > United States Of America > Michigan > Marquette County Office for Coastal Management Charleston SC Data Set Elevation Unknown Model (digital) USGS Base Specification 1.0, QL2 meeting 24.5cm FVA The State of Michigan Geographic Information Systems digital data have been tested and their documentation carefully reviewed. However, the State of Michigan 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 State of Michigan or its representatives be liable for any direct, indirect, special, incidental or consequential damages resulting from and defect in the State of Michigan 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 Sanborn, the State of Michigan, FEMA, USGS, NOAA, the Office for Coastal Management or its partners. State of Michigan (SOM) Data Steward 2020 Organization NOAA Office for Coastal Management NOAA/OCM coastal.info@noaa.gov 2234 South Hobson Ave Charleston SC 29405-2413 (843) 740-1202 https://coast.noaa.gov NOAA Office for Coastal Management Home Page Online Resource Distributor 2020 Organization NOAA Office for Coastal Management NOAA/OCM coastal.info@noaa.gov 2234 South Hobson Ave Charleston SC 29405-2413 (843) 740-1202 https://coast.noaa.gov NOAA Office for Coastal Management Home Page Online Resource Metadata Contact 2020 Organization NOAA Office for Coastal Management NOAA/OCM coastal.info@noaa.gov 2234 South Hobson Ave Charleston SC 29405-2413 (843) 740-1202 https://coast.noaa.gov NOAA Office for Coastal Management Home Page Online Resource Point of Contact 2020 Organization NOAA Office for Coastal Management NOAA/OCM coastal.info@noaa.gov 2234 South Hobson Ave Charleston SC 29405-2413 (843) 740-1202 https://coast.noaa.gov NOAA Office for Coastal Management Home Page Online Resource Ground Condition -88.676764 -87.105517 46.9627 45.981403 Range 2015-05-21 2016-05-17 Marquette County Range 2015-10-25 2015-11-15 Baraga County No Yes No No No Geographic 3D EPSG:6319 NAD83(2011) NAD83 (National Spatial Reference System 2011) GRS 1980 6378137 298.257222101 1 Geodetic Latitude Lat degree north 2 Geodetic Longitude Lon degree east 3 Elipsoidal height h metre up Unclassified Data is available online for bulk and custom downloads. None 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. https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9009 2020 Organization NOAA Office for Coastal Management Customized Download 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. Zip Zip https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9009/index.html 2020 Organization NOAA Office for Coastal Management Bulk Download 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. LAZ LAS/LAZ - LASer Zip https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9009/supplemental/mi2015_part3_m9009.kmz Browse graphic Browse Graphic KML This graphic displays the footprint for this lidar data set. https://coast.noaa.gov/dataviewer/ NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV) Online Resource HTML 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. https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9009/breaklines/index.html Breaklines Online Resource Link to the dataset breaklines. https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9009/supplemental/Final_Report_Michigan_LiDAR_2015.docx Dataset report Online Resource Link to the dataset report. Microsoft Windows 7; ESRI ArcCatalog 9.3.1.1850 Horizontal positional accuracy for Area 1 LiDAR is dependent upon the quality of the GPS/INS solution, sensor calibration and ground conditions at the time of data capture. The standard system results for horizontal accuracy meet or exceed the project specified 1.0 meter RMSE. For Area 1, this value is computed by comparing ground control to a DEM derived from the classified LiDAR data and represents the RMSE of residuals on controls within the project area. For the DEM data derived from the classified point cloud, the FVA, SVA, and CVA were computed. The vertical accuracy was tested with independent survey check points located in various terrain types within Area 1. These check points were not used in the calibration or post processing of the lidar point cloud data. The survey check points were distributed throughout the block area. Specifications for this project require that the FVA be 24.5 cm or better @ 95 percent confidence level. The FVA was tested using 25 independent survey check points located in flat terrain types within Area 1. The 25 independent check points were surveyed using static GPS base stations collecting point location for 20 minute intervals. Elevations were measured for the x,y,z location of each check point. Elevations interpolated from the DEM surface were then compared to the elevation values of the surveyed control. The RMSE was computed to be 0.087 m. AccuracyZ has been tested to meet 12.5 cm Fundamental Vertical Accuracy at 95 Percent confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines. The CVA was tested using 97 independent survey check points located in various terrain types within Area 1. The 97 independent check points contained all FVA and SVA class points and were surveyed using static GPS base stations collecting point location for 20 minute intervals. Elevations were measured for the x,y,z location of each check point. Elevations interpolated from the DEM surface were then compared to the elevation values of the surveyed control. The RMSE was computed to be 0.140m, or 0.271m @ 95th Percentile defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASRPS Guidelines. The SVA for the Low Veg class was tested using 25 independent survey check points located in low vegetation terrain types within Area 1. The 25 independent check points were surveyed using static GPS base stations collecting point location for 20 minute intervals. Elevations were measured for the x,y,z location of each check point. Elevations interpolated from the DEM surface were then compared to the elevation values of the surveyed control. The RMSE was computed to be 0.132m, or 0.242m @ 95th Percentile defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASRPS Guidelines. The SVA for the Medium Veg class was tested using 23 independent survey check points located in medium vegetation terrain types within Area 1. The 23 independent check points were surveyed using static GPS base stations collecting point location for 20 minute intervals. Elevations were measured for the x,y,z location of each check point. Elevations interpolated from the DEM surface were then compared to the elevation values of the surveyed control. The RMSE was computed to be 0.199m, or 0.329m @ 95th Percentile defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASRPS Guidelines. The SVA for the High Veg class was tested using 23 independent survey check points located in high vegetation terrain types within Area 1.The 23 independent check points were surveyed using static GPS base stations collecting point location for 20 minute intervals. Elevations were measured for the x,y,z location of each check point. Elevations interpolated from the DEM surface were then compared to the elevation values of the surveyed control. The RMSE was computed to be 0.126m, or 0.263m @ 95th Percentile defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASRPS Guidelines. 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. Anomalous laser returns that occur infrequently are removed entirely from the data set. Once clean bare earth points are established, DEMs are created using bare earth points and hydro features. The DEM surface is then compared to the survey checkpoints. These accuracies must pass the Fundamental Vertical Accuracy, Supplemental Vertical Accuracy, and Consolidated Vertical Accuracy specifications. LiDAR data is collected within the project area and processed. After the DEMs were created, the dataset was verified against control. Control was collected in 5 areas. Area 1 includes Baraga and Marquette. Accuracy results are reported for Area 1. Yes Unknown Yes NCEI-CO Data is backed up to tape and to cloud storage. Classified lidar Organization Sanborn Map Company Inc. Originator Discrete 2015 1200 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 v1.2 or v1.3, Point Record Format 1 Ground control Organization Sanborn Map Company Inc. Originator 2010-01-01 Discrete 2015 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. LiDAR Data Organization Sanborn Map Company Inc. Originator Discrete 2015 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. Post processed GPS/INS Organization Sanborn Map Company Inc. Originator Discrete 2015 1200 Post processed GPS/INS is applied to the lidar point data to georeference each point in the project coordinate system Post processed lidar Organization Sanborn Map Company Inc. Originator Discrete 2015 1200 The post processed lidar data has been projected and oriented in the specified coordinate system as an un-classified point cloud. Tile Definition Organization State of Michigan Originator Discrete 2015 1200 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 2500ft by 2500ft in dimension. 1 At selected locations throughout the site, accurate GPS coordinates and elevations are surveyed and the points are marked with targets. 2015-01-01T00:00:00 2 New LiDAR data is captured for the project area using a Leica ALS70 LiDAR instrument an integrated IPAS20 GPS/INS system mounted within a Aero Commander twin engine airplane. 2015-01-01T00:00:00 3 The airborne GPS data is post-processed in Inertial Explorer software and LEICA CloudPro software to determine the LiDAR sensor's angle and orientation in the terrain (project) coordinate system and datums during the survey. 2015-01-01T00:00:00 4 The post processed GPS/INS solution is applied to the raw lidar data to orient and project the data points into the project area reference system as an unclassified point cloud. 2015-01-01T00:00:00 5 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 7: low point, Class 9: water, Class 10: ignored ground, Class 11: withheld. 2015-01-01T00:00:00 6 The classified lidar data is exported as 2500 X 2500 foot tiles in the LAS format with any or all classes required to produce derivative products. 2015-01-01T00:00:00 7 The NOAA Office for Coastal Management (OCM) downloaded 2 data sets from this USGS site: ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/ The data sets downloaded were: USGS_LPC_MI_Baraga_2015_LAS_2018/ Number of files: 4381 USGS_LPC_MI_Marquette_2015_LAS_2018/ Number of files: 8705 These files were processed to the Data Access Viewer (DAV) and https. The total number of files downloaded and processed was 13,086. The data were in Michigan State Plane North (NAD83 2011), international feet coordinates and NAVD88 (Geoid12A) elevations in feet (Marquette County only, Baraga County data was in meters). The data were classified as: 1 - Unclassified, 2 - Ground, 7 - Low Noise, 9 - Water, 10 - Ignored Ground, 11 - Withheld. OCM processed all classifications of points to the Digital Coast Data Access Viewer (DAV). Classes available on the DAV are: 1, 2, 7, 9, 10, 11. OCM performed the following processing on the data for Digital Coast storage and provisioning purposes: 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 ellipsoid elevations using the Geoid 12A model, to convert from Michigan State Plane North (NAD83 2011), international feet coordinates to geographic coordinates, to convert from vertical units of feet to meters (for Marquette County only, Baraga County data was in meters), to assign the geokeys, to sort the data by gps time and zip the data to database and to http. 2020-02-04T00:00:00 Organization Office for Coastal Management OCM https://ror.org/05v14bq57 2234 South Hobson Avenue Charleston SC 29405-2413 https://www.coast.noaa.gov/ gov.noaa.nmfs.inport:58730 Rebecca Mataosky 2020-01-30T15:05:18 SysAdmin InPortAdmin 2026-03-04T19:17:17 2022-03-16 OCM Partners OCMP 1002 Public No No 2022-03-16 1 Year 2023-03-16