Data Management Plan (Deprecated)

This LiDAR data is within Illinois Department of Transportation districts 1 and 3 covering Grundy, Kane and McHenry counties. The data is updated from its original format to LAS version 1.2. The LiDAR data was collected in April 2008. Task Order Number: 3. Data was acquired by Quantum Spatial as project 1080208 with an Optech ALTM 3100 sensor equipped with an inertial measuring unit (IMU) and GPS receiver. The acquisition was to produce bare earth ASCII, LAS data and 2 foot contour Shapefiles. Only the counties of Grundy, McHenry and Kane were included in the Digital Coast project, as the other nine counties are not directly related to NOAA OCM tools and internal products.

Process Steps:

• 2008-12-29 00:00:00 - The LiDAR data was captured using twin-engine fixed wing aircraft equipped with a LiDAR system. The LiDAR system includes a differential GPS unit and inertial measurement system to provide superior accuracy. LiDAR swaths are inspected, aligned to one another and indexed to surface check points. Data points are classified, inspected and breaklines added. Derivative data products are produced for delivery. Acquisition parameters: 1. Scanner - Optech ALTM 3100 EA 2. Flight Height - 1700 m above mean terrain 3. Swath Width - 18 degrees 4. Sidelap - 33% 5. Nominal Post Spacing - 1.2 m. GPS and IMU processing parameters: 1. Processing Programs and version - Applanix - POSGPS and POSProc, versions 4.31 2. Max PDOP during LiDAR collection - 3.0 3. Max distance from GPS base stations during collection - less than 25 km 4. Mean differential baseline length - 15 km 5. Minimum number of base stations during LiDAR collection - 2 6. IMU processing monitored for consistency and smoothness - Yes. Point Cloud Processing: 1. Program and version - Dashmap, version 3.0005 2. Horizontal Datum - NAD83(NSRS2007) 3. Horizontal Coordinates - Illinois State Plane Coordinate System, 1201, East Zone, in US Survey Foot 4. Vertical Datum - NAVD88 5. Geoid Model used to reduce satellite derived elevations to orthometric heights - NGS Geoid03. LIDAR Processing: 1. Processing Programs and versions - TerraSolid TerraScan (version 008.009) and TerraMatch (version 008.006) and Intergraph MicroStation (version 08.01.02.15). 2. Point Cloud data is imported to TerraScan in a Microstation V8 (V) CAD environment on a specified 5000 foot by 5000 foot tiling scheme. 3. Analyze the data for overall completeness and consistency. This is to ensure that there are no voids in the data collection. 4. Inspect for calibration errors in the dataset using the TerraMatch software. This is accomplished by sampling the data collected across all flight lines and classify the individual lines to ground. The software will use the ground-classified lines to compute corrections (Heading, Pitch, Roll, and Scale). 5. Orientation corrections (i.e. Calibration corrections) are then applied to the entire dataset. 6. Automatic ground classification is performed using algorithms with customized parameters to best fit the project area. Several areas of varying relief and planimetric features were inspected to verify the final ground surface. 7. Quantum Spatial provided Quality Assurance and Quality Control (QAQC) data for this project. Quantum Spatial captured 103 QA/QC points in multiple land cover categories that were used to test the accuracy of the LiDAR data. TerraScan's Output Control Report (OCR) was used to compare the QAQC data to the LIDAR data. This routine searches the LIDAR dataset by X and Y coordinates, finds the closest LIDAR point and compares the vertical (Z) values to the known data collected in the field. Based on the QAQC data, a bias adjustment was determined, and the results were applied to the LIDAR data. 8. Once the automatic processing and the testing of LiDAR is complete, Quantum Spatial reviews the generated bare-earth surface data to insure that proper classification was achieved as part of a Quality Control process. 9. Final deliverables are generated and output to a client specified 2000 ft by 2000 ft tiling scheme. (Citation: Grundy Co., IL LiDAR)
• 2013-12-01 00:00:00 - LiDAR data acquired and processed in 2008 is reprocessed in LAS tiles to LAS version 1.2. The data is reclassified to ASPRS point classification. Derivative data products are produced for delivery. Processing programs and versions - TerraSolid TerraScan (version 013.004), TerraModeler (version 013.002) and TerraMatch (version 013.002) and Intergraph MicroStation (version.08.05.02.70). 1. LAS version 1.0 data is processed through TScan to assign point classifications as: Class 1: Processed, but unclassified / non-ground Class 2: Ground Class 7: Noise / Low Points Class 8: Model Key Points (mass points) Class 9: Water Class 10: Ignored Ground, (Breakline proximity) 2. Data is written to LAS version 1.2 format files on a per tile base 2000 feet by 2000 feet. 3. Bare earth DEM files are generated from classified LAS ground data and output as hydro flattened with breaklines to delineate surface water as it was present at the time of data acquisition. 4. Using TerraScan, the DEMs are generated in an ASCII format on a per tile basis with neighboring tile information available to minimize seams between tiles. These DEM are reviewed using GlobalMapper for adherence and completeness to the data and tile layout used during the creation process. 5. Following review acceptance, the ASCII files are processed through GlobalMapper into a FLOAT format. These files are converted using ArcMap to the delivered GRID format. (Citation: Illinois Twelve Counties LiDAR Processing, 1130113)
• 2016-03-15 00:00:00 - The NOAA Office for Coastal Management (OCM) received the files in laz format from USGS via an FTP online repository. The files contained lidar elevation and intensity measurements. The data were in State Plane Illinois East, NAVD88 (orthometric) feet. OCM performed the following processing for data storage and Digital Coast provisioning purposes: 1. The data were converted from State Plane coordinates to geographic coordinates. 2. The data were converted from NAVD88 (orthometric) heights in international feet to GRS80 (ellipsoid) heights in meters using Geoid 03. 3. The LAS data were sorted by latitude and the headers were updated. 4. Erroneous elevations were removed. 5. The LAS tiles were retiled to remove overlap between McHenry and Kane counties.

This data can be obtained on-line at the following URL:

https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=5020

The data set is dynamically generated based on user-specified parameters.;