Quantum Spatial 2016 Raster digital data Geographic Extent: Central Maine, covering approximately 2,882 total square miles. Dataset Description: The Maine and Massachusetts 2015 QL1 and QL2 LiDAR project called for the Planning, Acquisition, processing and derivative products of LIDAR data to be collected at an aggregate nominal pulse spacing (NPS) of 0.7 meters for the 2,882 sqmi of the QL2 Maine AOI. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LIDAR Specification, Version 1.2. The data was developed based on a horizontal projection/datum of NAD83 (2011) UTM Zone 19, meters and vertical datum of NAVD1988 (GEOID12A), meters. LiDAR data was delivered in RAW flight line swath format, processed to create Classified LAS 1.4 Files formatted to 3,585 individual 1,500 meter X 1,500 meter tiles. Corresponding 1-meter Intensity Image and 1-meter Bare Earth DEM tiles were created with the same 1,500 meter X 1,500 meter tile schema. Breaklines were produced in Esri shapefile format. Ground Conditions: LiDAR was partially collected in spring of 2015 and completed in winter 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, Quantum Spatial established a total of 286 Land Cover control points. These were used to calibrate the LIDAR to known ground locations established throughout the entire Maine UTM 19 QL2 project area (136 calibration control points and 150 QC checkpoints). 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 1 meter 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. USGS Contract: G10PC00026 Task Order Number: G15PD00281 CONTRACTOR: Quantum Spatial Lidar data were acquired and calibrated by Quantum Spatial, Atlantic, and Precision Aerial Reconnaissance. All follow-on processing was completed by the prime contractor. 20150504 20151110 ground condition Complete None planned -70.1497688465833 -68.2684096932595 45.3645115939012 44.4191288007804 409500.000000 558000.000000 5023500.000000 4918500.000000 None Elevation data Lidar Hydrology None Maine ME No 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. Quantum Spatial, Data Acquisition Department Tobin Guthrie mailing and physical

523 Wellington Way

Lexington KY 40503 USA 859-277-8700 859-277-8901 tguthrie@quantumspatial.com Monday 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 15; TerraModeler Version 15; GeoCue Version 2014.1.21.1; Esri ArcGIS 10.2; Global Mapper 16; Leica Cloud Pro 1.2; Windows 7 Operating System \\psihq_nx3200\Projects\26258_Maine_Mass_USGS_LiDAR\ 1.38 TB and \\Matrix\LIDAR\26258_MA_ME_QL1andQL2\ 23.5 TB Data 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 specifications require that Nonvegetated Vertical Accuracy (NVA) be computed for raw lidar point cloud swath files. The vertical accuracy was tested with 84 independent survey located in open terrain. 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 project. Specifications for this project require that the NVA be 19.6 cm or better AccuracyZ at 95 percent confidence level. The specifications require that Nonvegetated Vertical Accuracy (NVA) be computed for DEM files. The vertical accuracy was tested with 84 independent survey located in open terrain. 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 project. Specifications for this project require that the NVA be 19.6 cm or better AccuracyZ at 95 percent confidence level. The specifications require that Vegetated Vertical Accuracy (VVA) be computed for DEM files. The vertical accuracy was tested with 65 independent survey located in vegetated terrain. 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 project. Specifications for this project require that the NVA be 29.4 cm or better AccuracyZ at 95 percent confidence level. 0.076 The raw NVA was tested using 84 independent surveys located in open terrain. The survey check points were distributed throughout the project area. The 84 independent check points were surveyed using the closed level loop technique. Elevations from the unclassified 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 RMSE was computed to be 0.039 meters and AccuracyZ to be 0.076 meters. AccuracyZ has been tested to meet 19.6 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 National Digital Elevation Program (NDEP)/ASPRS Guidelines. The NVA was tested using 84 independent surveys located in open terrain. The survey check points were distributed throughout the project area. The 84 independent check points were surveyed using the closed level loop technique. Elevations from the DEM surface were measured for the x,y 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 0.038 meters and AccuracyZ to be 0.075 meters. AccuracyZ has been tested to meet 19.6 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 National Digital Elevation Program (NDEP)/ASPRS Guidelines. The VVA was tested using 65 independent surveys located in vegetated terrain. The survey check points were distributed throughout the project area. The 65 independent check points were surveyed using the closed level loop technique. Elevations from the DEM surface were measured for the x,y 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 0.145 meters and AccuracyZ to be 0.286 meters. AccuracyZ has been tested to meet 29.4 cm VVA at 95th percentile level using the 95th percentile of the absolute value of all vertical errors in all combined vegetation classes as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines. Quantum Spatial 20151020 Lexington, KY Quantum Spatial online 20150324 20150419 ground condition ME_2015_LiDAR_gnd_ctrl This data source was used (along with the airborne GPS/IMU Data) to aid in the georeferencing of the lidar point cloud data. Quantum Spatial 2015 lidar data Quantum Spatial 2015 online 20150426 20151205 ground condition ME_QL2_2015_LiDAR_Data This data source was used to populate the lidar point cloud data. Quantum Spatial 20151020 Lexington, KY Quantum Spatial online 20150324 20150419 ground condition ME_2015_LiDAR_qc_ctrl This data source was used to QC and vertically adjust the lidar point cloud data. Hydro-Flattened Raster DEM Creation: Class 2 LiDAR in conjunction with the hydro breaklines were used to create a 1 meter Raster DEM. Using automated scripting routines within ArcMap, an ERDAS Imagine IMG file was created for each tile. Each surface is reviewed using Global Mapper to check for any surface anomalies or incorrect elevations found within the surface. ME_2015_LiDAR_qc_ctrl ME_QL2_2015_LiDAR_Data 2015 Hydro-Flattened Raster DEMs Quantum Spatial Ryan Griffin mailing and physical

523 Wellington Way

Lexington KY 40503 USA 859-277-8700 859-277-8901 rgriffin@quantumspatial.com Monday 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. Raster pixel 1500 1500 Universal Transverse Mercator 19 0.9996 -69.0 0.0 500000.0 0.0 coordinate pair 1 1 meters North American Datum of 1983 (2011) Geodetic Reference System 80 6378137.0 298.257222101 North American Vertical Datum of 1988 (Geoid12A) 0.01 meters Explicit elevation coordinate included with horizontal coordinates 20160318 Quantum Spatial Sarah Zibart mailing and physical

523 Wellington Way

Lexington KY 40503 USA 859-277-8700 859-277-8901 szibart@quantumspatial.com Monday 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. FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 None. None. None. Unclassified NONE