Photo Science, Inc. Unpublished Material model The LiDAR for the North East Project, funded in large part by the American Recovery and Reinvestment Act (ARRA) of 2009, as well as, other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. 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. 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 LAS Point Cloud 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; Optech DashMAP 5.1000; 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. Classified LAS files 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. Classified LAS files 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 James W. Sewall 2012 digital data hard drive 2011 2012 ground condition CTRL Control points are uses as a known elevation to adjust the LiDAR data to the surface. 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. Control Process: James W. Sewall Company was contracted by Photo Science, Inc. to locate a total of 31calibration control used in the post processing of the LiDAR data as well as 20 quality assurance check points for the state of New York. The points were located on relatively flat terrain on surfaces that generally consisted of grass, gravel or bare earth. See Final Survey Reports for additional collection parameters and methodologies. 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. 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. A buffer of 1 meter was also used around each hydro flattened feature to classify these ground (ASPRS Class 2) points to ignored ground (ASPRS Class 10). All Lake Pond Island and Double Line Drain Island features were checked to ensure that the ground (ASPRS Class 2) were reclassified to the correct classification after the automated classification was completed. A new class has been added to the dataset to represent the bare water of the ocean areas collected throughout the project area. ASPRS Class 14 is being used to represent the bare water ocean surface. While attempts were made to remove all extraneous features above the surface of the water, there may be above surface features classified to this class. Some islands below the required collection specifications have been classified to this class as well. This class was also used during the creation of the ERDAS Imagine Raster DEM files. The Ocean Shoreline and Ocean Island breaklines were used to complete the automated classification of these classes within the final LAS files. 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 classified to Class 17 (USGS Overlap Default), Class 18 (USGS Overlap Ground), Class 25 (USGS Overlap Water), and Class 30 (USGS Overlap Bare Water). These classes were created through automated processes only and were not verified for classification accuracy. Due to software limitations within TerraScan, these classes were used to trip the Withheld bit within various software packages. These processes were reviewed and accepted by USGS through multiple conference calls and pilot study areas. Data was then run through additional macros to ensure deliverable classification levels matching the ASPRS LAS Version 1.2 Classification structure. GeoCue functionality was then used to ensure correct LAS Versioning. In-house software was used as a final QA/QC check to provide LAS Analysis of the delivered tiles. QA/QC checks were performed on a per tile level to verify final classification metrics and full LAS header information. 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 LAS 1.2 files (ASPRS Classes (1,2,7,9,10,14,17,18,25,30) All deliverables meet specifications in contract. LAS Files meet ASPRS and USGS Classification Standards. 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