Photo Science, Inc. Unpublished Material model The LiDAR for the North East Project, funded in large part by the American Recovery and Reinvestment Act (ARRA) of 2009, as well as, other funding sources was designed to help stimulate the U.S. economy and provide for more accurate floodplain mapping in the North East representing the start of a regional LiDAR collection program that served as a test case for a national elevation program. Lead by the United States Geological Survey's (USGS) National Geospatial Program Office and the State of Maine's Office of GIS with active collaboration and participation by other federal, state and local agencies resulted in LiDAR acquisition and processing of over 8,000 sq. miles of (LiDAR) data of a coastal zone spanning six North Eastern states, including Maine, New Hampshire, Massachusetts, Connecticut, Rhode Island, and New York. USGS's National Geospatial Technical Operations Center (USGS NGTOC) in Rolla, MO provided project management and quality control oversight for the project which consisted of two Task Orders issued to USGS contractor, GMR Aerial Surveys inc. d/b/a Photo Science (contractor), for task order execution through the use of USGS's Geospatial Products and Services Contract (USGS Contract: G10PC00026). Task Order specifications included state/area specific vertical accuracy, nominal post spacing and tide coordinated acquisition requirements. Specific to the State of New York, LiDAR was collected in the Winter 2010 through Winter 2011 at a 2 meter or better nominal post spacing (2m GSD) for approximately 568 square miles of New York, 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, Photo Science subcontractor, The James W. Sewall Company, established a total of 31 control points that were used to calibrate the LIDAR to known ground locations established throughout the New York project area. Additionally, Sewall established twenty (20) quality control "blind" check points using survey grade, dual frequency GPS receivers throughout the New York project area and the contractor supplied the coordinate and elevation data values for each point to USGS to independently validate theses required vertical accuracies. These points were not used by the Contractors production team duing any phase of the project. New York data was developed based on a horizontal projection/datum of UTM NAD83 (2007), UTM Zone 18, meters and vertical datum of NAVD1988 (GEOID09), meters. LiDAR data was delivered in RAW flightline swath format, processed to create Classified LAS 1.2 Files formatted to 907 individual 1500m x 1500m tiles, Hydro Flattening Breaklines in Esri shape file format, and corresponding 2.0 meter gridded Raster DEM Files tiled to the same 1500m x 1500m schema. LiDAR Data was originally delivered to USGS for quality control validation under USGS Delivery Lots 3 and 8a. The lineage (metadata), positional, content (completeness), attribution, logical consistency, and accuracies of all digital elevation data produced conform to the specifications stipulated in USGS Task Orders G10PD01027 (ARRA) and G10PD02143 (non-ARRA) and the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 12. Raster DEM files are used to show the Digital Elevation Model of the bare earth surface. This allows the user to create Contours. 20101220 20110320 20110325 20110326 20110525 20111118 20111119 20111202 20111203 20111211 ground condition In Work Unknown -74.2366782 -73.4207618 41.6866700 40.5744680 none model LiDAR remote sensing None NY US None None. However, users should be aware that temporal changes may have occurred since this data set was collected and that 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 it's limitations. Acknowledgement of the U.S. Geological Survey would be appreciated for products derived from these data. Photo Science, Inc. flew the LiDAR and processed the data. Northrop Grumman/3001 helped with the acquisition of the LiDAR data. MicroStation Version 8; TerraScan Version 11; ALS Post Processor 2.70 Build#15; TerraModeler Version 11; GeoCue Version 7.0.34.5; ESRI ArcGIS 10.0; Global Mapper 13; Optech DashMAP 5.1000; ALS Post Processor 2.70 Build #15; Windows XP Operating System Photo Science, Inc. Unpublished Material model Photo Science, Inc. Unpublished Material model Photo Science, inc. Unpublished Material model The project area required LiDAR to be collected on 2.0 meter GSD or better and processed to meet a bare earth vertical accuracy of 15.0 centimeters RMSEz or better. Raster DEMs were tested by Photo Science for both vertical and horizontal accuracy. All data is seamless from one tile to the next, no gaps or no data areas. Datasets contain complete coverage of tiles. Raster DEMs were tested by Photo Science for both vertical and horizontal accuracy. All data is seamless from one tile to the next, no gaps or no data areas. The vertical unit of the data file is in decimal meters with 2-decimal point precision. The reported RMSEz value was determined using the calibration control points, and not the Blind Control. The calibration control points are the same points that were used to remove any bias in the dataset before bare earth editing. The listed RMSEz value shown below was calculated from the ground (ASPRS Class 2) data in the final Classified LAS file. 0.061 RMSE in meters, as calculated from Classified LAS files Photo Science, Inc. 2012 digital data hard drive 20101220 20110320 20110325 20110326 20110525 20111118 20111119 20111202 20111203 20111211 ground condition LiDAR LiDAR points were used to produce the deliverables. Applanix software was used in the post processing of the airborne GPS and inertial data that is critical to the positioning and orientation of the sensor during all flights. POSPac MMS provides the smoothed best estimate of trajectory (SBET) that is necessary for Optech's post processor to develop the point cloud from the LiDAR missions. The point cloud is the mathematical three dimensional collection of all returns from all laser pulses as determined from the aerial mission. At this point this data is ready for analysis, classification, and filtering to generate a bare earth surface model in which the above ground features are removed from the data set. The point cloud was manipulated within the Optech software; GeoCue, TerraScan, and TerraModeler software was used for the automated data classification, manual cleanup, and bare earth generation from this data. Project specific macros were used to classify the ground and to remove the side overlap between parallel flight lines. All data was manually reviewed and any remaining artifacts removed using functionality provided by TerraScan and TerraModeler. Using automated scripting routines within ArcMap, the ground (ASPRS Class 2) and bare water (USGS Class 14) were combined with the Hydro Flattened Breaklines (excluding the Ocean Shoreline and Ocean Island line types) to create the 2 meter DEM. Final DEM tiles were clipped to the project tile boundary to provide a seamless dataset. ERDAS IMG files were then created as the project deliverable. A manual QA review of the tiles was completed in ArcMap and Global Mapper to ensure full coverage with no gaps or slivers within the project area. LiDAR 2012 LiDAR post-processed data Universal Transverse Mercator 18 0.99960000 -75.00000000 0.00000000 500000.00000000 0.0 coordinate pair 2.0 2.0 meters North American Datum of 1983 World Geodetic System 1984 6378137.000000000000000000 298.257223563000030000 ERDAS IMG files with a 2 meter pixel. No Data values outside of the project area are represented with -9999. All deliverables meet specifications in contract. 20120329 Photo Science, Inc. Michael Shillenn mailing and physical address

523 Wellington Way, Suite 375

Lexington KY 40503 USA 859-277-8700 mshillenn@photoscience.com FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998