52307 mi2015_berrien_dem_m8511_metadata Data Set Published / External 49404 DEMs - partner (no harvest) Project Completed 2015 This metadata record describes the hydro-flattened bare earth digital elevation model (DEM) derived from the classified LiDAR data for the 2015 Michigan LiDAR project covering approximately 1520 square miles, in which its extents cover Berrien County. The NOAA Office for Coastal Management (OCM) downloaded the MI_13Co-BerrienCO_2015 Digital Elevation Model (DEM) files from this USGS site: ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/OPR/ and processed the data to the Data Access Viewer (DAV) and https. In addition to these bare earth Digital Elevation Model (DEM) data, the lidar point data that these DEMs were created from, are also available. These data are available for custom download at the link provided in the URL section of this metadata record. 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 and bare earth DEM data products are suitable for 1 foot contour generation. USGS LiDAR Base Specification 1.0, QL2. 18.3 cm FVA. 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)" } }} 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 > 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 > 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 ALS80 Theme Bare Earth Theme Contour Theme DEM Theme Grid Theme IMG Theme beach Theme erosion Theme mapping Theme point cloud Office for Coastal Management Charleston SC Data Set Elevation Unknown Model (digital) FEMA Specification Version QL2 meeting 9.25cm 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 the State of Michigan, NOAA, the Office for Coastal Management or its partners. State of Michigan (SOM) Data Steward 2018 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 2018 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 2018 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 2018 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 -86.826204 -86.221645 42.243797 41.758111 Range 2015-04-14 2015-06-01 Vertical EPSG:8228 NAVD88 height (ft) North American Vertical Datum 1988 1 Gravity-related height H foot up Unclassified Data is available online for custom and bulk 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=8511 2018 Organization NOAA Office for Coastal Management Customized Download Create custom data files by choosing data area. Zip Zip https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/MI_Berrien_DEM_2015_8511/index.html 2018 Organization NOAA Office for Coastal Management Bulk Download Bulk download of data files in NAVD88 elevations in meters. GeoTIFF GeoTIFF https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8509/supplemental/mi2015_berrien_m8509.kmz Browse graphic Browse Graphic KML This graphic displays the footprint for this lidar data set. https://coast.noaa.gov/ NOAA's Office for Coastal Management (OCM) website Online Resource HTML Information on the NOAA Office for Coastal Management (OCM) 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://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8509 Online Resource Link to custom download the lidar point data from which these raster Digital Elevation Model (DEM) data were created. https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8509/breaklines/ Online Resource Link to the hydro breaklines Microsoft Windows 7; ESRI ArcCatalog 9.3.1.1850 Horizontal positional accuracy for Berrien 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. 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, the FVA, SVA, and CVA were computed. Vertical accuracy was tested with independent survey check points located in various terrain types within Berrien County. Check points were not used in the calibration or post processing of the point cloud data. 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). The RMSE values are 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. 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. 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 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. 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. SVA 0.080m RMSE, or 0.159m SVA @ 95th Percentile The SVA for the Urban class was tested using 36 independent survey check points located in urban terrain types within Area 5. The 36 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. 0.108m RMSE, or 0.215m SVA @ 95th Percentile 0.116m RMSE, or 0.192m SVA @ 95th Percentile 0.098m RMSE, or 0.196m SVA @ 95th Percentile. 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 17 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. 0.116m RMSE, or 0.192m SVA @ 95th Percentile SVA for Medium Veg class tested using 27 independent survey check points located in medium veg terrain types within Area 5. The 27 independent check points 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 DEM surface were then compared to the elevation values of the surveyed control. 0.098m RMSE, or 0.196m SVA @ 95th Percentile SVA for High Veg class tested using 37 independent survey check points located in high veg terrain types within Area 5. The 37 independent check points 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 DEM surface were compared to the elevation values of the surveyed control. 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 5 includes Allegan, Berrien, and Van Buren. Accuracy results are reported for Area 5. Classified lidar 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 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 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. Originator Post processed GPS/INS 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 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 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 ALS80 w/MPiA 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 Intertial 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 bare earth points of the processed lidar data are then output to a DEM tile format. The DEM is compared to the ground control and elevation differences between the surface and surveyed elevation are recorded in tabular form. Vertical accuracy statistics are then developed to produce vertical RMSE and overall accuracy estimates and reports. 2015-01-01T00:00:00 7 The NOAA Office for Coastal Management (OCM) downloaded 2740 MI_13Co-BerrienCO_2015 Digital Elevation Model (DEM) files from this USGS site: ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/OPR/. The data were in MI State Plane South coordinates and NAVD88 (Geoid12A) elevations in feet. The bare earth raster files were at a 2 ft grid spacing. OCM performed the following processing on the data for Digital Coast storage and provisioning purposes: 1. Converted the raster files from img format to cloud optimized geotiff. 2018-03-30T00:00:00 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:52307 Rebecca Mataosky 2018-03-30T13:40:10 SysAdmin InPortAdmin 2026-03-04T19:17:17 2024-01-10 OCM Partners OCMP 1002 Public No No 2022-03-16 1 Year 2023-03-16