58712 2018_Charlevoix_m9004 Data Set Published / External 49401 Lidar - partner (no harvest) Project Completed 2020-01-28 2018 This metadata record describes the Classified Point Cloud for the 2018 Michigan LiDAR project covering approximately 416 square miles in Charlevoix County. Data classes available are 1 (unclassified), 2 (ground), 7 (low noise), 9 (water), 10 (ignored ground), 17 (bridge deck) and 18 (high noise). 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 1.2, QL2. 19.6 cm NVA. Project Projection, Datums and Units (For original files, note that the Data Access Viewer and Bulk download files are in geographic projection). Projection - State Plane Michigan Central. Horizontal datum - North American Datum of 1983 (NAD83 (2011)). Vertical datum - North American Vertical Datum of 1988 (NAVD88) using the latest geoid (Geoid12B) for converting ellipsoidal heights to orthometric heights. Units - intl feet The following are the USGS lidar fields in JSON: { "ldrinfo" : { "ldrspec" : "USGS Base Specification 1.2, QL2 meeting 19.6cm NVA", "ldrsens" : "Leica ALS70", "ldrmaxnr" : "4", "ldrnps" : "0.67", "ldrdens" : "2.2", "ldranps" : "0.67", "ldradens" : "2.2", "ldrfltht" : "2180", "ldrfltsp" : "140", "ldrscana" : "40", "ldrscanr" : "51.3", "ldrpulsr" : "251", "ldrpulsd" : "10", "ldrpulsw" : "0.49", "ldrwavel" : "1064", "ldrmpia" : "1", "ldrbmdiv" : "0.3", "ldrswatw" : "1587", "ldrswato" : "30", "ldrcrs" : "NAD_1983_2011_StatePlane_Michigan Cental_FIPS_2112_Ft_Intl", "ldrgeoid" : "NGS Geoid12B" }, "ldraccur" : { "ldrchacc" : "0", "rawnva" : "0.108", "rawnvan" : "33", "clsnva" : "0.106", "clsnvan" : "33", "clsvva" : "0.140", "clsvvan" : "22" }, "lasinfo" : { "lasver" : "1.4", "lasprf" : "6", "laswheld" : "Withheld points were identified in these files with the withheld flag", "lasolap" : "Overlap points were identified in these files with the overlap flag", "lasintr" : "16", "lasclass" : { "clascode" : "1", "clasitem" : "Unclassified" }, "lasclass" : { "clascode" : "2", "clasitem" : "Bare earth" }, "lasclass" : { "clascode" : "7", "clasitem" : "Noise" }, "lasclass" : { "clascode" : "9", "clasitem" : "Water" }, "lasclass" : { "clascode" : "10", "clasitem" : "Ignored Ground (Breakline Proximity)" }, "lasclass" : { "clascode" : "17", "clasitem" : "Bridges" }, "lasclass" : { "clascode" : "18", "clasitem" : "High Noise" } }} Theme Global Change Master Directory (GCMD) Science Keywords EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION Theme Global Change Master Directory (GCMD) Science Keywords EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > BATHYMETRY > COASTAL BATHYMETRY Theme Global Change Master Directory (GCMD) Science Keywords EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL 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 Spatial Global Change Master Directory (GCMD) Location Keywords VERTICAL LOCATION > SEA FLOOR Instrument Global Change Master Directory (GCMD) Instrument Keywords LIDAR > Light Detection and Ranging Platform Global Change Master Directory (GCMD) Platform Keywords Airplane > Airplane Spatial Global Change Master Directory (GCMD) Location Keywords Continent > North America > United States Of America > U.S. Coastline Spatial Continent > North America > United States Of America > Michigan > Charlevoix Office for Coastal Management Charleston SC Data Set Elevation Unknown Model (digital) USGA Base Specification 1.2, QL2 meeting 19.6 cm NVA 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 NOAA, the Office for Coastal Management or its partners State of Michigan (SOM), Sanborn, USGS 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 -85.388303 -84.731645 45.371616 45.113826 Range 2018-05-08 2018-05-10 No Yes No No No Yes 4459567879 Unclassified Data is available online for bulk or 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=9004 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/geoid18/9004/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/geoid18/9004/supplemental/extent_2018_CharlevoixMI_m9004.kmz Browse graphic Browse Graphic KML This graphic displays the footprint for this lidar data set. https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9004/index.html Breaklines Online Resource Zip Link to the breaklines. Microsoft Windows 7; ESRI ArcCatalog 9.3.1.1850 Horizontal positional accuracy for Charlevoix 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. Quantitative value: 1.0, Test that produced the valued: 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 NVA and VVA were computed. The vertical accuracy was tested with independent survey check points located in various terrain types within the Charlevoix county control area. 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. The NVA was tested using 33 independent survey check points located in bare earth terrain types within the Charlevoix county area. The 33 independent check points contained all NVA 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 RMSEz was computed to be 0.106m @ 95 percent confidence level defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASRPS Guidelines. The VVA was tested using 22 independent survey check points located in various vegetation terrain types within the Charlevoix county area. The 22 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 RMSEz was computed to be 0.140m @ 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 Non-Vegetated and Vegetated Vertical Accuracy specifications. LiDAR data is collected within the project area and processed. After all of the deliverables were created, the dataset was verified against control. The control points were compared to Charlevoix county. Yes Unknown Yes NCEI-CO Data is backed up to tape and to cloud storage. Classified lidar Organization Sanborn Map Company Inc. Originator Discrete 2018 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 v1.4, Point Record Format 6 Ground control Organization Sanborn Map Company Inc. Originator 2010-01-01 Discrete 2018 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 2018 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 2018 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 2018 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 2018 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. 2018-01-01T00:00:00 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. 2018-01-01T00:00:00 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. 2018-01-01T00:00:00 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. 2018-01-01T00:00:00 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. 2018-01-01T00:00:00 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. 2018-01-01T00:00:00 7 OCM downloaded 1,810 laz files from the USGS rockyftp site. The data were in NAD83(2011) / Michigan Central (ft) projected coordinate system with NAVD88 orthometric height in feet. OCM performed the following processing on the data for Digital Coast storage and provisioning purposes: 1. The LAStools software scripts lasinfo and lasvalidate were run on the laz files to check for errors. 2. An internal OCM script was run to check the number of points by classification and by flight ID and the gps and intensity ranges. 3. Internal OCM scripts were run on the laz files to assign the geokeys, to sort the data by gps time, convert to geographic coordinates and ellipsoidal heights by reversing the application of Geoid12b, and zip the data to database and to https. Organization Office for Coastal Management OCM https://ror.org/05v14bq57 2234 South Hobson Avenue Charleston SC 29405-2413 https://www.coast.noaa.gov/ 8 NOAA OCM downloaded 13 laz files from this USGS rockyftp site: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/USGS_LPC_MI_Charlevoix_TL_2018_LAS_2019/laz/ and added them to this dataset. The data were in NAD83(2011) / Michigan Central (Int ft) projected coordinate system with NAVD88 (Geoid 12B) orthometric elevations in feet. OCM performed the following processing on the data for Digital Coast storage and provisioning purposes: 1. Internal OCM scripts were 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 assign the geokeys, to sort the data by gps time, convert to geographic coordinates and ellipsoidal heights by reversing the application of Geoid12B, to convert from vertical elevations in feet to meters, and to zip the data to database and to AWS S3. 2023-08-02T00:00:00 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:58712 Blake Waring 2020-01-28T13:36:53 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