Data Management Plan

The NOAA Hurricane Irma Supplemental Topobathymetric LiDAR Project area data were collected by Quantum Spatial, Inc. (QSI) using three Riegl systems: a Riegl VQ-880-G+, a Riegl VQ-880-GII, and a Riegl VQ-880-GH. The NOAA Hurricane Irma project acquisition dates spanned from 20181120-20190323 in 85 missions. This project dataset includes topobathymetric data in a LAS format 1.4, point data record format 6, with the following classifications in accordance with project specifications and the American Society for Photogrammetry and Remote Sensing (ASPRS) classification standards:

1 - unclassified

2 - ground

7 - noise

40 - bathymetric bottom or submerged topography

41 - water surface

43 - submerged feature

45 - water column

46 - overlap bathy bottom - temporally different from a separate lift

71 - unclassified associated with areas of overlap bathy bottom/temporal bathymetric differences

72 - ground associated with areas of overlap bathy bottom/temporal bathymetric differences

81 - water surface associated with areas of overlap bathy bottom/temporal bathymetric differences

85 - water column associated with areas of overlap bathy bottom/temporal bathymetric differences

1 Overlap - edge clip

Please note that classifications 46,71,72,81, and 85 associated with temporal bathymetric differences have only undergone automated classification and have not been manually reviewed.

This data set also includes LiDAR intensity values, number of returns, return number, time, and scan angle. The 100 meter buffered project area consists of approximately 1,381,270 acres and stretches from the eastern coast of Miami, south and westward to the Marquesas Keys. LAS files were compiled in 500 m x 500 m tiles. This complete project dataset is comprised of 23,926 - 500 m x 500 m LAS tiles.

Process Steps:

• 2020-04-01 00:00:00 - Data for the NOAA Hurricane Irma LiDAR project was acquired by Quantum Spatial (QSI) using Riegl VQ-880-GII, Riegl VQ-880-GH, and Riegl VQ-880-G+ Topobathy LiDAR systems. All LAS data is referenced to: Horizontal Datum-NAD83(2011) epoch: 2010.00 Projection-UTM Zone 17N Horizontal Units-meters Vertical Datum-GRS80 Ellipsoid Vertical Units-meters This project dataset encompasses 23,926 - 500m x 500m tiles in south Florida and the Florida Keys. The collected LiDAR data were immediately processed in the field by QSI to a level that will allow QA\QC measures to determine if the sensor is functioning properly and assess the coverage of submerged topography. An initial SBET was created in Applanix POSPAC MMS 8.3 SP3 and loaded into RiProcess which applies pre-calibrated angular misalignment corrections of scanner position to extract the raw point cloud into geo-referenced LAS files. These files were inspected for sensor malfunctions and then passed through automated raster generation using LAStools to develop an initial assessment of bathymetric coverage. QSI reviewed all acquired flight lines to ensure complete coverage and positional accuracy of the laser points. These rasters were also used to create an initial product in Quick Look Coverage Maps. These Quick Look files are not fully processed data or final products but provide rapid assessment of approximate coverage and depth penetration. QSI resolved kinematic corrections for aircraft position data using aircraft GNSS and Applanix's proprietary PP-RTX solution. When PP-RTX was not used QSI conducted static Global Navigation Satellite System (GNSS) ground surveys (1 Hz recording frequency) using base stations over known monument locations during flights. After the airborne survey, static GPS data were triangulated with nearby Continuously Operating Reference Stations (CORS) using the Online Positioning User Service (OPUS) for precise positioning. Multiple independent sessions over the same base station were performed to confirm antenna height measurements and to refine position accuracy. This data was used to correct the continuous onboard measurements of the aircraft position recorded throughout the flight. A final smoothed best estimate trajectory (SBET) was developed that blends post-processed aircraft position with attitude data. Using the SBETs, sensor head position and attitude were then calculated throughout the survey. PosPac MMS 8.3 SP3 was used for these processes.
• 2020-04-01 00:00:00 - Following final SBET creation, QSI used RiProcess 1.8.5 to calculate laser point positioning by associating SBET positions to each laser point return time, scan angle, and intensity. Terra 19 and LasTools were used to classify water surface and create a water surface model. They are created for single swaths to ensure temporal differences and wave or water surface height variations between flight lines do not impact the refraction of the bathymetric data. These models are used in QSI's LasMonkey refraction tool to determine the accurate positioning of bathymetric points. All LiDAR data below water surface models were classified as water column to be refracted. Light travels at different speeds in air versus water and its direction of travel or angle is changed or refracted when entering the water column. The refraction tool corrects for this difference by adjusting the depth (distance traveled) and horizontal positioning (change of angle/direction) of the LiDAR data. Using raster-based QC methods, the output data is verified to ensure the refraction tool functioned properly. Once all data was refracted by flight line data was exported to LAS 1.4 format and combined into 500 m x 500 m tiles. Data were then further calibrated using TerraMatch. QSI used custom algorithms in TerraScan to classify the initial ground/submerged topography surface points. Relative accuracy of overlapping swaths was compared and verified through the use Delta-Z (DZ) orthos created using QSI's Las Product Creator. Absolute vertical accuracy of the calibrated data was assessed using ground survey data and complete coverage was again verified.
• 2020-04-01 00:00:00 - Post automated classification QSI then performed manual editing to review all classification and improve the final topobathymetric surface. QSI's LasMonkey was used to update LAS header information, including all projection and coordinate reference system information. The LiDAR data are in LAS format 1.4 and point data record format 6. The classification scheme of the delivered LiDAR is as follows: 1 - Unclassified 2 - Ground 7 - Noise 40 - Bathymetric Bottom or Submerged Topography 41 - Water Surface 43 - Submerged feature 45 - Water Column 46 - Temporal Bathymetric Bottom 71 - Overlap Default 72 - Overlap Ground 81 - Overlap Water Surface 85 - Overlap Water Column 1-Overlap - Edge Clip
• The NOAA Office for Coastal Management (OCM) received files in laz format. The files contained lidar elevation and intensity measurements. The data were in UTM Zone 17 coordinates and ellipsoid elevations in meters. OCM performed the following processing on the data for Digital Coast storage and provisioning purposes: 1. Converted from UTM Zone 17 to geographic coordinates 2. Sorted by gps time. 3. Moved data from class 46 and 72 to class 22 and classes 71, 81 and 85 to class 1 The final classification scheme is as follows: 1 - Unclassified 2 - Ground 7 - Noise 22 - Temporal Exclusion 40 - Bathymetric Bottom or Submerged Topography 41 - Water Surface 43 - Submerged feature 45 - Water Column

Data is available online for bulk or custom downloads

Data is backed up to tape and to cloud storage.