EarthData International of Maryland, LLC 20020900 Unknown 1st Edition map This metadata document describes the collection and processing of Light Detection and Ranging (LIDAR) data of the City of Sturgeon Bay in Door County, Wisconsin. The resulting data are a bare ground elevation model generated from LIDAR data and topographic mapping with a 2' contour interval produced for the United States Army Corps of Engineers. This dataset is intended for use by the United States Army Corps of Engineers for base mapping. 20020900 Publication Date Complete None planned -087.436039 -087.293591 44.871042 44.792001 None Digital Land Base Mapping Light Detection and Ranging (LIDAR) Topographic Map None United States of America (USA) Wisconsin (WI) Door County (55029) City of Sturgeon Bay None None EarthData International of Maryland mailing and physical address

45 West Watkins Mill Rd

Gaithersburg MD 20878 USA 301-948-8550 301-963-2064 metadata@earthdata.com 9:00-5:00 M-F Height values between individual LIDAR points within a 3.5 meter radius were differentiated against surveyed control points. A statistical result was determined and indicated that the vertical RMSE was +/- 0.15 meters (1 sigma) over the project area. The resultant map products are fully compliant with National Map Accuracy Standards. Differences between individual LIDAR points within a 3.5 meter radius were calculated against surveyed control points. A statistical result was determined and indicated that the vertical RMSE was +/- 0.15 meters (1 sigma) for the entire project. The following software was used for the validation. 1. Bentley - Microstation 2. Terrasolid - Terrscan 3. Trimble - Terramodel 4. Esri - ArcInfo 5. EarthData Proprietary software Towill 20020400 Unknown model Towill, Inc, San Francisco, CA Towill 14,400 electronic mail system 20020400 Publication Date GPS Ground Control Ground control was established prior to the acquisition of aerial data acquisition.The ground control points were established using GPS for vertical and horizontal coordinate values. Ground control references the Wisconsin Central State Plane NAD83, NAVD29, US Survey Feet. EarthData Aviation 20020417 Unknown model Hagerstown, MD EarthData Aviation CD-ROM 20020300 Unknown Publication Date Earthdata Aviation The project area was flown using EarthData Aviation's Navajo Chieftain aircraft equipped with an AeroScan LIDAR system, an Inertial Measurement Unit (IMU), and dual frequency GPS receiver and antennae. The position and orientation (omega, phi, and kappa) of the aircraft were determined using a GPS receiver located at an existing NGS control point. The LIDAR, IMU, and GPS data were correlated using GPS time and processed using LIDAR post-processing software to determine the coordinate of each point on the ground. A reflective surface DEM of the project area was delivered with a relative accuracy of +/- 0.15 meters. EarthData has developed a unique method for processing LIDAR data to identify and remove elevation points falling on vegetation, buildings, and other above-ground structures. The algorithms for filtering data were utilized within EarthData's proprietary software and commercial software written by TerraSolid. This software suite of tools provides efficient processing for small to large-scale projects and has been incorporated into ISO 9001 compliant production work flows. The following is a step-by-step breakdown of the process. 1. Using the LIDAR data set provided by EarthData Aviation, the technician performed a visual inspection of the data to verify that the flight lines overlap correctly. The technician also verified that there were no voids, and that the data covered the project limits. The technician then selected a series of areas from the dataset and inspected them where adjacent flight lines overlapped. These overlapping areas were merged and a process which utilizes 3-D Analyst and EarthData's proprietary software was run to detect and color code the differences in elevation values and profiles. The technician reviewed these plots and located the areas that contained systematic errors or distortions that were introduced by the LIDAR sensor. 2. Systematic distortions highlighted in step 1 were removed and the data were re-inspected. Corrections and adjustments can involve the application of angular deflection or compensation for curvature of the ground surface that can be introduced by crossing from one type of land cover to another. 3.The LIDAR data for each flight line were trimmed in batch for the removal of the overlap areas between flight lines. The data were checked against a control network to ensure that vertical requirements were maintained. Conversion to the client-specified datum and projections were then completed. The LIDAR flight line data sets were then segmented into adjoining tiles for batch processing and data management. 4. The initial batch-processing run removed 95% of points falling on vegetation. The algorithm also removed the points that fell on the edge of hard features such as structures, elevated roadways and bridges. In addition, points not classified as ground are coded as intermediate canopy, top of canopy, building, etc. Thus the LIDAR data was classified into thematic layers that can be analyzed separately or together. 5. The data were processed interactively by the operator using LIDAR editing tools. During this final phase the operator generated a TIN based on a desired thematic layers to evaluate the automated classification performed in step 4. This allowed the operator to quickly re-classify points from one layer to another and recreate the TIN surface to see the effects of edits. The use of geo-referenced images were toggled on or off to aid the operator in identifying problem areas. The data was also examined with an automated profiling tool to aid the operator in the reclassification. 6.The data were separated into a bare-earth DEM. A grid fill program was used to fill data voids caused from reflective objects such as buildings and vegetation. The final DEM was written as an ASCII file (comma & space delimited), ESRI Shape file, and an ESRI TIN file to a CDROM. EarthData International 20020900 Raquel Charrois EarthData International mailing and physical address

45 West Walkins Mill Road

Gaithersburg Maryland 20878 USA 1-301-948-8550 1-301-963-2064 international-md@earthdata.com 9 AM - 5 PM Mon. - Fri. 0 State Plane Coordinate System 1983 Wisconsin Central (4802) 44 15 0.0 45 30 0.0 -090.000000 +43.833333 600000.0 0.0 coordinate pair 2 2 Survey Feet National Geodetic Vertical Datum of 1929 0.15 Meters Explicit elevation coordinate included with horizontal coordinates United States Army Corps of Engineers - Detroit District mailing and physical address

477 Michigan Avenue

Detroit MI 48226 USA 313-226-6751 None. 20021000 EarthData International of Maryland, LLC mailing and physical address

45 West Watkins Mill Road

Gaithersburg MD 20878 USA 301-948-8550 301-963-2064 metadata@earthdata.com 9:00 AM - 5:00 PM (ET) M-F FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998