Quantum Spatial, Inc. 20191120 Raster digital data Product: These are Digital Elevation Model (DEM) data for Michigan as part of the required deliverables for the Hiawatha National Forest, Michigan 2018 QL1+ LiDAR (USFS) project. Class 2 (ground) LiDAR points in conjunction with the hydro breaklines were used to create a 2-foot hydro-flattened Raster DEM. Geographic Extent: 1 county in Michigan, covering approximately 10 total square miles. Dataset Description: The Hiawatha National Forest, Michigan 2018 QL1+ LiDAR (USFS) project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.175 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 1.3. The data were developed based on a horizontal projection/datum of NAD 1983 2011 StatePlane Michigan North FIPS 2111 Ft Intl, Foot and vertical datum of NAVD88 GEOID 12B, Foot. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to 46 individual 2500 ft x 2500 ft tiles, as tiled intensity imagery, and as tiled bare earth DEMs; all tiled to the same 2500 ft x 2500 ft schema. Continuous breaklines were produced in Esri file geodatabase format. Ground Conditions: LiDAR was collected in fall 2018 and spring 2019, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Quantum Spatial, Inc. utilized a total of 19 ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. An additional 90 independent accuracy checkpoints, 50 in Bare Earth and Urban landcovers (50 NVA points), 40 in Tall Weeds categories (40 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data. To acquire detailed surface elevation data for use in conservation planning, design, research, floodplain mapping, dam safety assessments and elevation modeling, etc. Classified LAS files are used to show the manually reviewed bare earth surface. This allows the user to create intensity images, breaklines and raster DEMs. The purpose of these LiDAR data was to produce high accuracy 3D hydro-flattened digital elevation models (DEMs) with a 2-foot cell size. These raw LiDAR point cloud data were used to create classified LiDAR LAS files, intensity images, 3D breaklines, and hydro-flattened DEMs as necessary. Raster File Type = IMG; Bit Depth/Pixel Type = 32-bit float; Raster Cell Size = 2-foot; Interpolation or Resampling Technique = Triangulated Irregular Network (TIN), Linear Interpolation, Proprietary; Required Vertical Accuracy = 0.196 20181029 20190530 Ground condition In work As needed -84.686277045 -84.6148122482 46.4808080235 46.4314177536 26830000.0 26847500.0 627499.999993 609999.999993 None Model Raster DEM Remote Sensing Elevation Data Lidar None Michigan Chippewa County No restrictions apply to these data. None. However, users should be aware that temporal changes may have occurred since this dataset was collected and that some parts of these data may no longer represent actual surface conditions. Users should not use these data for critical applications without a full awareness of their limitations. Acknowledgement of the organization providing these data to the public would be appreciated for products derived from these data. Data cover the entire area specified for this project. Datasets contain complete coverage of tiles. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. There are no void areas or missing data. The raw point cloud is of good quality and data pass Non-Vegetated Vertical Accuracy specifications. The project specifications require the accuracy (ACCz) of the derived DEM be calculated and reported in two ways: 1. The required NVA is: 19.6 cm at a 95% confidence level, derived according to NSSDA, i.e., based on RMSE of 10 cm in the "bare earth" and "urban" land cover classes. This is a required accuracy. The NVA was tested with 50 checkpoints located in bare earth and urban (non-vegetated) areas. 2. Vegetated Vertical Accuracy (VVA): VVA shall be reported for "tall weeds" land cover classes. The target VVA is: 29.4 cm at the 95th percentile, derived according to ASPRS Guidelines, Vertical Accuracy Reporting for LiDAR Data, i.e., based on the 95th percentile error in all vegetated land cover classes combined. This is a target accuracy. The VVA was tested with 40 checkpoints located in forested and tall weeds (vegetated) areas. The checkpoints were distributed throughout the project area and were surveyed using GPS techniques. See survey report for additional survey methodologies. AccuracyZ has been tested to meet 19.6 cm or better Non-Vegetated Vertical Accuracy at 95% 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)/ASRPS Guidelines. 0.059 Tested 0.059 meters NVA at a 95% confidence level using 50 independent survey points located in open terrain. The survey check points were distributed throughout the project area. The 50 independent check points were surveyed using GPS techniques. See survey report for additional survey methodologies. Elevations from the unclassified LiDAR surface were measured for the x,y location of each checkpoint. Elevations interpolated from the LiDAR surface were then compared to the elevations values of the surveyed control points. The root mean square error vertical (RMSEz) was computed to be 0.031 meters. AccuracyZ has been tested to meet 19.0 cm NVA at 95-percent confidence level using (RMSEz * 1.9600) as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using American Society of Photogrammetry and Remote Sensing (ASPRS) Guidelines. 0.119 Tested 0.119 meters VVA was calculated using 40 checkpoints located in vegetation at the 95th percentile, derived according to ASPRS Guidelines, Vertical Accuracy Reporting for LiDAR Data. Tested against the DEM. Hydro-Flattened Raster DEM Processing: Class 2 (Ground) LiDAR points in conjunction with the hydro-breaklines were used to create a 2-foot hydro-flattened raster DEM. Using automated scripting routines within ArcMap, IMG files were created for each tile. Each surface was reviewed using Global Mapper to check for any surface anomalies or incorrect elevations found within the surface. 2019 Raster Pixel 1250 1250 State Plane Coordinate System 1983 2111 45.4833333333 47.0833333333 -87 44.7833333333 26246719 0.0 coordinate pair 2.0 2.0 Foot D NAD 1983 2011 Geodetic Reference System 80 6378137.0 298.257222101 NAVD88 GEOID 12B 0.001 Foot Explicit elevation coordinate included with horizontal coordinates 20191119 Quantum Spatial, Inc. mailing and physical

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