Saginaw County, MI 2015 LiDAR MI_SaginawCo

Spicer Group Inc2018Saginaw County, MI 2015 LiDAR MI_SaginawCo_2015Classified Lidar point cloudGeographic Extent: Saginaw County, MI, covering approximately 815 square miles. Dataset Description: Saginaw County, MI 2016 LiDAR project called for the Planning, Acquisition, processing and derivative products of LIDAR data to be collected at a nominal pulse spacing (NPS) of 0.7 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LIDAR Specification, Version 1.0. The data was developed based on a horizontal projection/datum of Michigan State Plane South, NAD83, international feet and vertical datum of NAVD1988 (GEOID12A), international feet. LiDAR data was delivered in RAW flight line swath format, then processed to create Classified LAS 1.2 Files formatted to 991 individual 5000 foot X 5000 foot tiles. Corresponding Intensity Images and Bare Earth DEMs tiles were created with the same 5000 foot X 5000 foot tile schema. Breaklines were produced in Esri geodatabase format. Ground Conditions: LiDAR was collected in spring of 2015, 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, Spicer Group Inc established a total of 120 Land Cover control points (52 QC checkpoints, 68 calibration control points) which were used to calibrate the LIDAR to known ground locations established throughout the Saginaw County, MI project area. 28 additional check points were surveyed by Kucera for the accuracy check of the initial acquisition. these 28 points have been added to the NVA LiDAR and DEM accuracy reports.Classified LAS files are used to show the manually reviewed bare earth surface. This allows the user to create Intensity Images, Breaklines and Raster DEM. The purpose of these lidar data was to produce high accuracy 3D hydro-flattened Digital Elevation Model (DEM) with a 2 foot cell size. These raw lidar point cloud data was used to create classified lidar LAS files, intensity images, 3D breaklines and hydro-flattened DEMs as necessary.USGS-NGP Base Specification v1.0Leica ALS 70 Serial Number 712140.652.190.652.1923001452037.726140.48106410.221535.709.97National Geodetic Survey (NGS) Geoid12A 0.1960.1842680.1082680.1201441.21Withheld (ignore) points were identified in these files using the standard LAS Withheld bitSwath "overage" points were identified in these files using the standard LAS overlap bit11-bit1Undetermined/Unclassified2Bare earth7All noise6Bridge deck9Water10Ignored Ground17Overlap default18Overlap ground22Overlap bridge deck23Overlap noise25Overlap water26Overlap ignored ground2015032420150417ground conditionCompleteNone planned-84.3995620600000-83.667611750000043.571665060000043.116841880000013114641.52113110000.000755000.000590000.000NoneElevation dataLidarHydrologyNoneMichiganMISaginaw CountyNo restrictions apply to this 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 its limitations. Acknowledgement of the U.S. Geological Survey would be appreciated for products derived from these data.Spicer Group IncNathan Shepherdmailing and physical

6600 Peachtree Dunwoody Road, Building 400, Suite 108

AtlantaGA30328USA678-585-6501 ex304678-585-6501nathans@spicergroup.comMonday through Friday 8:00 AM to 5:00 PM (Eastern Time)If unable to reach the contact by telephone, please send an email. You should get a response within 24 hours.MicroStation Version 8; TerraScan Version 16; TerraModeler Version 16; ESRI ArcGIS 10.3; Windows 7 Operating System; Global Mapper V17.1 \\Proj2015\122278SG2015 - Saginaw County LiDAR 1.66 TBData cover the entire area specified for this project.These raw LAS data files include all data points collected. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist. The raw point cloud is of good quality and data passes Nonvegetated Vertical Accuracy specifications.The NVA was tested using 68 independent surveys located in open terrain. The survey check points were distributed throughout the project area. The 68 independent check points (40 Spicer Group & 28 Kuchera) were surveyed using the closed level loop technique. Elevations from the classified lidar surface were measured for the x,y location of each check point. Elevations interpolated from the lidar surface were then compared to the elevation values of the surveyed control. The NVA RMSE was computed to be 0.181 international feet (5.52 cm). AccuracyZ has been tested to meet 19.6 cm Nonvegetated Vertical Accuracy at 95 percent confidence level using (RMSEz * 1.9600) as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines. The NVA RMSE @ 95% confidence level was computed to be 0.355 international feet (10.82 cm). The VVA was tested using 44 independent surveys located in vegetated areas. The survey check points were distributed throughout the project area. The 44 independent check points were surveyed using the closed level loop technique. Elevations from the classified lidar surface were measured for the x,y location of each check point. Elevations interpolated from the lidar surface were then compared to the elevation values of the surveyed control. The VVA RMSE was computed to be 0.241 international feet (7.35 cm). AccuracyZ has been tested to meet 29.4 cm Vegetated Vertical Accuracy at the 95th percentile as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines. The VVA RMSE @ the 95th percentile was computed to be 0.394 international feet (12.01 cm). The DEM NVA was tested using 68 independent surveys located in open terrain. The survey check points were distributed throughout the project area. The 68 independent check points (40 Spicer Group & 28 Kuchera) were surveyed using the closed level loop technique. Elevations from the classified lidar surface were measured for the x,y location of each check point. Elevations interpolated from the lidar surface were then compared to the elevation values of the surveyed control. The NVA RMSE was computed to be 0.178 international feet (5.43 cm). AccuracyZ has been tested to meet 19.6 cm Nonvegetated Vertical Accuracy at 95 percent confidence level using (RMSEz * 1.9600) as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines. The DEM NVA RMSE @ 95% confidence level was computed to be 0.349 international feet (10.64 cm). The DEM VVA was tested using 44 independent surveys located in vegetated areas. The survey check points were distributed throughout the project area. The 44 independent check points were surveyed using the closed level loop technique. Elevations from the classified lidar surface were measured for the x,y location of each check point. Elevations interpolated from the lidar surface were then compared to the elevation values of the surveyed control. The VVA RMSE was computed to be 0.242 international feet (7.38 cm). AccuracyZ has been tested to meet 29.4 cm Vegetated Vertical Accuracy at the 95th percentile as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines. The DEM VVA RMSE @ the 95th percentile was computed to be 0.399 international feet (12.16 cm). 0.1082 The Lidar NVA was tested using 68 independent surveys located in open terrain. The survey check points were distributed throughout the project area. The 68 independent check points (40 Spicer Group & 28 Kuchera) were surveyed using the closed level loop technique. Elevations from the classified lidar surface were measured for the x,y location of each check point. Elevations interpolated from the lidar surface were then compared to the elevation values of the surveyed control. The NVA RMSE was computed to be 0.181 international feet (5.52 cm). AccuracyZ has been tested to meet 19.6 cm Nonvegetated Vertical Accuracy at 95 percent confidence level using (RMSEz * 1.9600) as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines. The NVA RMSE @ 95% confidence level was computed to be 0.355 international feet (10.82 cm). 0.1201 The Lidar VVA was tested using 44 independent surveys located in vegetated areas. The survey check points were distributed throughout the project area. The 44 independent check points were surveyed using the closed level loop technique. Elevations from the classified lidar surface were measured for the x,y location of each check point. Elevations interpolated from the lidar surface were then compared to the elevation values of the surveyed control. The VVA RMSE was computed to be 0.241 international feet (7.35 cm). AccuracyZ has been tested to meet 29.4 cm Vegetated Vertical Accuracy at the 95th percentile as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines. The VVA RMSE @ the 95th percentile was computed to be 0.394 international feet (12.01 cm).. 0.1064 The DEM NVA was tested using 68 independent surveys located in open terrain. The survey check points were distributed throughout the project area. The 68 independent check points (40 Spicer Group & 28 Kuchera) were surveyed using the closed level loop technique. Elevations from the classified lidar surface were measured for the x,y location of each check point. Elevations interpolated from the lidar surface were then compared to the elevation values of the surveyed control. The NVA RMSE was computed to be 0.178 international feet (5.43 cm). AccuracyZ has been tested to meet 19.6 cm Nonvegetated Vertical Accuracy at 95 percent confidence level using (RMSEz * 1.9600) as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines. The DEM NVA RMSE @ 95% confidence level was computed to be 0.349 international feet (10.64 cm). 0.1216 The DEM VVA was tested using 44 independent surveys located in vegetated areas. The survey check points were distributed throughout the project area. The 44 independent check points were surveyed using the closed level loop technique. Elevations from the classified lidar surface were measured for the x,y location of each check point. Elevations interpolated from the lidar surface were then compared to the elevation values of the surveyed control. The VVA RMSE was computed to be 0.242 international feet (7.38 cm). AccuracyZ has been tested to meet 29.4 cm Vegetated Vertical Accuracy at the 95th percentile as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines. The DEM VVA RMSE @ the 95th percentile was computed to be 0.399 international feet (12.16 cm). Spicer Group Inc2018Saginaw County, MI Lidar Task Ordervector digital data and tabular dataSaginaw, MISpicer Group IncExternal HDD2015032420150417ground conditionMI_SaginawCo_2015_LiDARThis data source was used (along with the airborne GPS/IMU Data) to aid in the georeferencing of the lidar point cloud data. Spicer Group Inc2018Lidar RAW Data for Saginaw County, MI 2016lidar dataSaginaw, MISpicer Group Inconline2015032420150417ground conditionMI_SaginawCo_2015_LiDAR_DataThis data source was used to populate the lidar point cloud data. Lidar Pre-Processing: Airborne GPS and IMU data were merged to develop a Single Best Estimate (SBET) of the lidar system trajectory for each lift. Lidar ranging data were initially calibrated using previous best parameters for this instrument and aircraft. Relative calibration was evaluated using advanced plane-matching analysis and parameter corrections derived. This was repeated iteratively until residual errors between overlapping swaths, across all project lifts, was reduced to acceptable levels. Data were then block adjusted to match surveyed calibration control. Raw data NVA were checked using independently surveyed checkpoints. Swath overage points were identified and tagged within each swath file. The results of the final calibration, NVA and horizontal accuracy assessments, and the "raw" swaths were forwarded to the client to obtain a Notice To Proceed on classification and derivative product generation.MI_SaginawCo_2015_LiDAR_gnd_ctrl2018LiDAR datasets with USGS classificationsSpicer Group Inc.mailing and physical

230 S. Washington

SaginawMI48607USA989-754-4717989-754-4717Monday through Friday 8:00 AM to 5:00 PM (Eastern Time)If unable to reach the contact by telephone, please send an email. You should get a response within 24 hours. Classified LAS Processing: The bare earth surface is then manually reviewed to ensure correct classification on the Class 2 (Ground) points. After the bare-earth surface is finalized, it is then used to generate all hydro-breaklines through heads-up digitization. All ground (ASPRS Class 2) LiDAR data inside of the Lake Pond and Double Line Drain hydro flattening breaklines were then classified to water (ASPRS Class 9) using TerraScan macro functionality. All Lake Pond Island and Double Line Drain Island features were checked to ensure that the ground (ASPRS Class 2) points were reclassified to the correct classification after the automated classification was completed. All bridge decks were classified to Class 17. All overlap data was processed through automated functionality provided by TerraScan to classify the overlapping flight line data to approved classes by USGS. The overlap data was identified using the Overlap Flag, per LAS 1.4 specifications. All data was manually reviewed and any remaining artifacts removed using functionality provided by TerraScan and TerraModeler.MI_SaginawCo_2015_LiDARMI_SaginawCo_2015_LiDAR_Data2018MI_SaginawCo_2015_LiDAR_DataSpicer Group Inc.Nathan Shepherdmailing and physical