gov.noaa.nmfs.inport:52371 eng UTF8 dataset Elevation OCM Partners resourceProvider NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information pointOfContact 2024-02-29T00:00:00 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) NAD83(2011) / UTM zone 16N2008-11-12publicationEuropean Petroleum Survey Grouphttps://apps.epsg.org/api/v1/CoordRefSystem/6345/export/?format=gmlurn:ogc:def:crs:EPSG:63456.18.3 2015 MiSAIL Lidar: Berrien County, MI mi2015_berrien_m8509_metadata 2015 publication NOAA/NMFS/EDM 52371 https://www.fisheries.noaa.gov/inport/item/52371 WWW:LINK-1.0-http--link Full Metadata Record View the complete metadata record on InPort for more information about this dataset. information https://coast.noaa.gov/ WWW:LINK-1.0-http--link NOAA's Office for Coastal Management (OCM) website Information on the NOAA Office for Coastal Management (OCM) download https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8511 WWW:LINK-1.0-http--link Citation URL Link to custom download, from the Data Access Viewer (DAV), the raster Digital Elevation Model (DEM) data that were created from this lidar data set. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8509/breaklines/index.html WWW:LINK-1.0-http--link Breaklines Link to download the breakline data. download https://coast.noaa.gov/dataviewer/ WWW:LINK-1.0-http--link NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV) 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. download This metadata record describes the Classified Point Cloud (LAS) for the 2015 Michigan LiDAR project covering approximately 1520 square miles, covering Berrien County. The NOAA Office for Coastal Management (OCM) downloaded this lidar data from the USGS site: ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/NED/LPC/projects/USGS_LPC_MI_13Co_BerrienCO_2015_LAS_2017/ and processed the data to be available on the Digital Coast Data Access Viewer (DAV). NOAA Office for Coastal Management processed all classifications of points to the Digital Coast Data Access Viewer (DAV). Classes available on the DAV are: 1 (Unclassified), 2 (Ground), 7 (Low Noise) , 9 (Water), 10 (Ignored Ground), 12 (Overlap). In addition to these lidar point data, the bare earth Digital Elevation Models (DEM) created from the lidar point data are also available. These data are are available for custom download at the link provided in the URL section of this metadata record. Breakline data are also available. These data are are available for download at the link provided in the URL section of this metadata record. 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. This data set contains point cloud data(' in LAZ (compressed LAS) format', ''). The data may have been reprojected or otherwise modified from the original data in an automated process. Disregard projection information in this abstract and refer to the spatial reference section. 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. 18.3 cm FVA. State of Michigan (SOM) 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 2025-07-07 at https://coast.noaa.gov/dataviewer. completed NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information pointOfContact NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information custodian unknown https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8509/supplemental/mi2015_berrien_m8509.kmz This graphic displays the footprint for this lidar data set. KML EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION theme Global Change Master Directory (GCMD) Science Keywords 17.0 CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > MICHIGAN VERTICAL LOCATION > LAND SURFACE place Global Change Master Directory (GCMD) Location Keywords 20.8 LIDAR > Light Detection and Ranging instrument Global Change Master Directory (GCMD) Instrument Keywords 17.2 Airplane > Airplane platform Global Change Master Directory (GCMD) Platform Keywords 17.2 ALS80 Bare Earth Contour Grid beach erosion mapping point cloud theme Lidar - partner (no harvest) project InPort otherRestrictions This data set was compiled dynamically. It will be removed 10 days after 2025-07-07 from the NOAA system. Cite As: OCM Partners, [Date of Access]: 2015 MiSAIL Lidar: Berrien County, MI [Data Date Range], https://www.fisheries.noaa.gov/inport/item/52371. 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. otherRestrictions This data set was compiled dynamically. It will be removed 10 days after 2025-07-07 from the NOAA system. Access Constraints: None otherRestrictions This data set was compiled dynamically. It will be removed 10 days after 2025-07-07 from the NOAA system. 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. otherRestrictions This data set was compiled dynamically. It will be removed 10 days after 2025-07-07 from the NOAA system. Distribution Liability: 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 the State of Michigan, NOAA, the Office for Coastal Management or its partners. unclassified NOAA Data Management Plan (DMP) NOAA/NMFS/EDM 52371 https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/52371.pdf WWW:LINK-1.0-http--link NOAA Data Management Plan (DMP) NOAA Data Management Plan for this record on InPort. information crossReference eng; US elevation Microsoft Windows 7; ESRI ArcCatalog 9.3.1.1850 -86.826204 -86.221645 41.758111 42.243797 | Currentness: Ground Condition 2015-04-14 2015-06-01 The following are the USGS lidar fields in JSON: { "ldrinfo" : { "ldrspec" : "FEMA Specification QL2 meeting 18.13cm FVA", "ldrsens" : "Leica ALS80", "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_South_2113_Ft_Intl", "ldrgeoid" : "NGS Geoid12a" }, "ldraccur" : { "ldrchacc" : "1.0", "rawfva" : "0.161", "clsfva" : "0.131", "clscva" : "0.192", "clssvas" : { "svalctyp" : "Urban", "svavalue" : "0.159" }, "clssvas" : { "svalctyp" : "LowVeg", "svavalue" : "0.215" }, "clssvas" : { "svalctyp" : "MedVeg", "svavalue" : "0.192" }, "clssvas" : { "svalctyp" : "HighVeg", "svavalue" : "0.196" } }, "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)" } }} false eng false FEMA Specification Version QL2 meeting 9.25cm FVA LAS/LAZ - LASer Zip NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information distributor https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8509 WWW:LINK-1.0-http--link Customized Download Create custom data files by choosing data area, product type, map projection, file format, datum, etc. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8509/index.html WWW:LINK-1.0-http--link Bulk Download Bulk download of data files in LAZ format, geographic coordinates, orthometric heights. download dataset Horizontal Positional Accuracy 1.0 m. For Berrien County, 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. Horizontal positional accuracy for Berrien County 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. Vertical Positional Accuracy 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 Berrien County. 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 9.25 cm (18.13 cm or better @ 95 percent confidence level). . 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 is defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASRPS Guidelines. FVA 0.067m RMSE, or 0.131m FVA @ 95 percent Confidence Interval The FVA was tested using 38 independent survey check points located in flat terrain types within Area 5. The survey checkpoints were distributed throughout the block area. The 38 independent check points were surveyed using static GPS base stations collecting point location for 20 minute intervals. CVA 0.092m RMSE, or 0.192m CVA @ 95th Percentile using all FVA and SVA class checkpoints (CVA) The CVA was tested using 155 independent survey check points located in various terrain types within Area 5. The survey checkpoints were distributed throughout the block area. The 155 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. SVA 0.080m RMSE, or 0.159m SVA @ 95th Percentile (Urban Class) The SVA for the Urban class was tested using 36 independent survey check points located in urban terrain types within Area 5. The survey checkpoints were distributed throughout the block area. The 36 independent check points were surveyed using static GPS base stations collecting point location for 20 minute intervals. 0.108m RMSE, or 0.215m SVA @ 95th Percentile (Low Veg Class) The SVA for the Low Veg class was tested using 17 independent survey check points located in low vegetation terrain types within Area 5. The survey checkpoints were distributed throughout the block area. The 17 independent check points were surveyed using static GPS base stations collecting point location for 20 minute intervals. 0.116m RMSE, or 0.192m SVA @ 95th Percentile (Medium Veg Class) The SVA for the Medium Veg class was tested using 27 independent survey check points located in medium vegetation terrain types within Area 5. The survey checkpoints were distributed throughout the block area. The 27 independent check points were surveyed using static GPS base stations collecting point location for 20 minute intervals. 0.098m RMSE, or 0.196m SVA @ 95th Percentile (High Veg Class) The SVA for the High Veg class was tested using 37 independent survey check points located in high vegetation terrain types within Area 5. The survey checkpoints were distributed throughout the block area. The 37 independent check points were surveyed using static GPS base stations collecting point location for 20 minute intervals. Completeness Report 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. Conceptual Consistency 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 5 includes Allegan, Berrien, and Van Buren. Accuracy results are reported for Area 5. 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 New LiDAR data is captured for the project area using a Leica ALS80 LiDAR instrument an integrated IPAS20 GPS/INS system mounted within a Aero Commander twin engine airplane. 2015-01-01T00:00:00 The airborne GPS data is post-processed in Inertial Explorer software and LEICA ALS post processor 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 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 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 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 The NOAA Office for Coastal Management (OCM) downloaded 2740 laz files from the USGS rockyftp site. The files contained elevation and intensity measurements for Berrien County, Michigan. The data were in MI State Plane South coordinates and NAVD88 (Geoid12A) elevations in feet. The data were classified as: 1 -Unclassified, 2 - Ground, 7 - Low Noise, 9 - Water, 10 - Ignored Ground, 11- Witheld (Overlap). NOAA Office for Coastal Management processed all classifications of points to the Digital Coast Data Access Viewer (DAV). Classes available on the DAV are: 1, 2, 7, 9, 10, 12 (Overlap). 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. Points classified as 11 were converted to Class 12. 4. 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 MI State Plane South coordinates to geographic coordinates, to convert from elevations in feet to meters, to assign the geokeys, to sort the data by gps time and zip the data to database and to http. 2018-04-02T00:00:00 Office for Coastal Management processor Source Contribution: 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 1200 Classified lidar 2015 Source Contribution: 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. Ground control 2010-01-01 publication 2015 Source Contribution: 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. LiDAR Data 2015 Source Contribution: Post processed GPS/INS is applied to the lidar point data to georeference each point in the project coordinate system 1200 Post processed GPS/INS 2015 Source Contribution: The post processed lidar data has been projected and oriented in the specified coordinate system as an un-classified point cloud. 1200 Post processed lidar 2015 Source Contribution: 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. 1200 Tile Definition 2015 The dataset has been mosaiced, reprojected, and clipped as needed from the original input files using PDAL and GDAL commands. 2025-07-07NOAA Office for Coastal Managementcoastal.info@noaa.govprocessor