State of Michigan (SOM) 2017 1.0 point digital data (LAS) Michigan State of Michigan http://www.michigan.gov This metadata record describes the Classified Point Cloud (LAS) for the 2017 Michigan LiDAR project covering approximately 578 square miles, covering Isabella County. USGS Base Specification 1.2, QL2 meeting 19.6cm NVA Leica ALS70 4 0.67 2.2 0.67 2.2 2345 130 38 47.3 235 10 0.53 1064 1 0.3 1615 30 NAD_1983_2011_StatePlane_Michigan_South_FIPS_2113_Ft_Intl NGS Geoid12B 0 0.12 18 0.090 18 0.159 16 1.4 6 Withheld points were identified in these files with the withheld flag Overlap points were identified in these files with the overlap flag 16 1 Unclassified 2 Bare earth 7 Noise 9 Water 10 Ignored Ground (Breakline Proximity) 17 Bridges 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. Projection - State Plane Michigan South. 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 20170416 20170418 ground condition Complete Unknown -85.088114 -84.608296 43.815906 43.466658 MI LiDAR mapping point cloud ground points Unclassified points Water points Overlap points ALS70 Intensity return LAS Digital Elevation Model (DEM) Digital Terrain Model (DTM) Digital Surface Model (DSM) IMG Grid Bare Earth First Return Contour MI Michigan Isabella, 6 counties United States none 2017 This data may be used by the requested party for stated purposes and should not be re-distributed. This data is for planning purposes only and should not be used for legal or cadastral purposes. Any conclusions drawn from analysis of this information are not the responsibility of Sanborn Map Company. Users should be aware that temporal changes may have occurred since this dataset was collected and some parts of this dataset may no longer represent actual surface conditions. Users should not use these data for critical applications without a full awareness of its limitations. Contact: State of Michigan Everett Root State of Michigan Manager, Geodata Services Section mailing and physical address

111 S. Capitol Ave

Lansing MI 48933 U.S.A. 517-335-7180 roote@michigan.gov 8:00 AM - 5:00 PM unknown Unclassified unknown Microsoft Windows 7; ESRI ArcCatalog 9.3.1.1850 Isabella: The LiDAR surface was evaluated using a collection of 18 GPS surveyed checkpoints for the raw NVA report. The DEM was compared to this checkpoint class yielding a better result than was required for the project. Raw NVA Control Accuracy Report (feet) --------- Report Disclaimer --------- This report does not guarantee accuracy. The report only reflects one statistical representation of the control points, LIDAR data and surface used. This report does not replace a through quality control process. --------- Report Summary --------- Average dz +0.004 Minimum dz -0.326 Maximum dz +0.327 Average magnitude 0.172 Root mean square 0.197 Std deviation 0.203 ---------------------------------------------------------------------------------------- Attribute accuracy is tested after the LiDAR processing stage. After classification of the LiDAR data, DEMs are created using the bare earth points. The NVA and VVA reports are generated from the comparison of the DEM and the ground control collected within the project area. The DEM surface was evaluated using a collection of 18 GPS surveyed checkpoints for the NVA report. The DEM was compared to this checkpoint class yielding a better result than was required for the project. NVA Control Accuracy Report (feet) --------- Report Disclaimer --------- This report does not guarantee accuracy. The report only reflects one statistical representation of the control points, LIDAR data and surface used. This report does not replace a through quality control process. --------- Report Summary --------- Average dz -0.025 Minimum dz -0.254 Maximum dz +0.280 Average magnitude 0.123 Root mean square 0.150 Std deviation 0.152 ---------------------------------------------------------------------------------------- Attribute accuracy is tested after the LiDAR processing stage. After classification of the LiDAR data, DEMs are created using the bare earth points. The VVA report is generated from the comparison of the DEM and the ground control collected within the project area. The DEM was evaluated using a collection of 16 GPS surveyed checkpoints. The DEM was compared to this checkpoint class yielding a better result than was required for the project. VVA Control Accuracy Report (feet) --------- Report Disclaimer --------- This report does not guarantee accuracy. The report only reflects one statistical representation of the control points, LIDAR data and surface used. This report does not replace a through quality control process. --------- Report Summary --------- Average dz -0.044 Minimum dz -0.528 Maximum dz +0.466 Average magnitude 0.212 Root mean square 0.285 Std deviation 0.291 ---------------------------------------------------------------------------------------- 0 N/A LiDAR data is collected within the project area and processed. After the DEMs were created, the dataset was verified against control. The control points for Isabella were collected as part of a larger control area of 6 counties. The accuracy report and metadata will be updated when the other counties in the control area have been completed. 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. Horizontal positional accuracy for Isabella 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. 1.0 For Isabella, 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 Isabella. 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 NVA be 19.6 cm or better @ 95 percent confidence level. 0.060m RMSE, or 0.12m NVA @ 95 percent Confidence Level The raw NVA was tested using 18 independent survey check points located in flat terrain types within the Isabella. The survey checkpoints were distributed throughout the block area. The 11 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 0.088 m. AccuracyZ has been tested to meet 10 cm Nonvegetated 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. 0.045m RMSE, or 0.090m NVA @ 95 percent Confidence Level The NVA was tested using 18 independent survey check points located in bare earth terrain types within the Isabella. The 11 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 RMSE was computed to be 0.091m, or 0.178m @ 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. 0.086m RMSE, or 0.159m VVA @ 95th Percentile The VVA was tested using 16 independent survey check points located in various vegetation terrain types within the Isabella. The 14 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 0.093m, or 0.196m @ 95th Percentile defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASRPS Guidelines. Sanborn Map Company Inc. Unpublished Material 1.0 Remote sensing image None None disc 2017 ground condition LIDAR and GPS_RAW 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. Sanborn Map Company Inc. 2010 1.0 tabular digital data None None disc 2017 ground condition CONT 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. Sanborn Map Company Inc. Unpublished material 1.0 Tabular digital data 1200 disk 2017 ground condition GPS Post processed GPS/INS is applied to the lidar point data to georeference each point in the project coordinate system Sanborn Map Company Inc. Unpublished material 1.0 Point digital data 1200 Disk 2017 Ground condition LAS The post processed lidar data has been projected and oriented in the specified coordinate system as an un-classified point cloud. Sanborn Map Company Inc. Unpublished material 1.0 Point digital data 1200 disk 2017 Ground condition LAS 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 State of Michigan Unpublished material 1.0 raster digital data 1200 disk 2017 ground condition TLDEF 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. At selected locations throughout the site, accurate GPS coordinates and elevations are surveyed and the points are marked with targets. None 2017 CONT 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. None 2017 LIDAR, GPS_RAW 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. GPS_RAW 2017 GPS_SOL 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. LIDAR, GPS_SOL 2017 LAS 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. CONT, GPS_SOL, LIDAR 2017 LAS 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. LAS, TLDEF 2017 LAS Point State Plane Coordinate System 1983 2113 42.1 43.6666666666667 84.3666666666667 41.5 13123359.5800525 0 coordinate pair 0.01 0.01 international feet North American Datum of 1983 Geodetic Reference System 80 6378137.000000 298.257222101004 North American Vertical Datum of 1988(GEOID12B) 0.1 feet Explicit elevation coordinate included with horizontal coordinates Classes: 1 - Unclassified (Processed) 2 - Bare-Earth Ground 7 - Noise 9 - Water 10 - Ignored Ground 17 - Bridges 18 - High Noise USGA Base Specification 1.2, QL2 meeting 19.6 cm NVA Everett Root State of Michigan Manager, Geodata Services Section mailing and physical address

111 S. Capitol Ave

Lansing MI 48933 U.S.A. 517-335-7180 roote@michigan.gov 8:00 AM - 5:00 PM Michigan 2017 LiDAR project 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. LAS 1.4 2000 http://www.michigan.gov unknown 5 - 1/2 inch hard drive LAS unknown State of Michigan unknown 2017 2017 Shawn Benham Sanborn Map Co Project Manager mailing address

1935 Jamboree Dr

Colorado Springs CO 80920 U.S.A. 719.502.1296 sbenham@sanborn.com 8:00 AM - 5:00 PM FGDC CSDGM FGDC-STD-001-1998 None Unclassified None