Data Management Plan

SWFWMD regularly uses digital topographic information to support regulatory, land management and acquisition, planning, engineering and habitat restoration projects. LiDAR data will support hydrologic modeling activities associated with the Federal Emergency Management Agency (FEMA), and in the creation of Digital Flood Insurance Rate Maps(DFIRM). The LiDAR data will support the creation of Federal Emergency Management Agency Flood Insurance Rate Maps (FEMA FIRM) and an integrated ground and surface water model for Hillsborough County. The data were classified into 7 classifications; (1) unclassified, (2) ground, (6) buildings, (9) water, (11) wetlands (reclassed by OCM to 16), (12) overlap points, (23) reserved for ASPRS definition (reclassed by OCM to 15), (30) reserved for ASPRS definition, and (31) reserved for ASPRS definition (reclassed by OCM to 10). Cooner & Associates performed the vertical accuracy and horizontal accuracy QA/QC analysis.

Process Steps:

• 2009-01-01 00:00:00 - All flights for the project were accomplished with two customized single-engine Cessna 206s' which provide an ideal, stable aerial base for LiDAR acquisition. This platform has relatively fast cruise speeds that are beneficial for project mobilization I demobilization while maintaining relatively slow stall speeds which can prove ideal for collection of a high-density, consistent data posting. Photo Science utilized two Optech Gemini scanners on this project (Serial Numbers 246 and 247). The systems are capable of collecting data at a maximum frequency of 167kHz, which affords elevation data collection of up to 167,000 points per second. The system utilizes a Multi-Pulse in the Air Option (MPIA). This sensor is also equipped with the ability to measure up to 4 returns per outgoing pulse from the laser and these come in the form of 151, 2nd, 3rd, and last returns. The intensity of the first three returns is also captured during the aerial acquisition. Optech DASHmap software was used in the post-processing of the airborne GPS and inertial data. This software suite includes the Applanix POSPac and Waypoint's GrafNav solutions. POSPac 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 was created using Optech's Post Processor software. GeoCue's TerraScan was used in the creation of files needed in downstream processing, as well as in the tiling of the dataset into more manageable file sizes. The TerraScan and TerraModeler software packages are then 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 were manually reviewed and any remaining artifacts removed using TerraScan and TerraModeler. QT Modeler was used as a final check of the bare earth dataset. GeoCue was then used to create the deliverable LAS 1.2 files for both the All Point Cloud Data and the Bare Earth. In-house software was then used to perform final statistical analysis of the classes in the LAS files.
• 2014-09-24 00:00:00 - The NOAA Office for Coastal Management (CSC) received the topographic lidar files in LAS format from SWFWMD. The files contained lidar easting, northing, elevation, intensity, return number, etc. The data was received in Florida State Plane West 0902 (US ft) and NAVD88 (US ft). CSC performed the following processing for data storage and Digital Coast provisioning purposes: 1. The files were reviewed and erroneous elevations were removed. 2. Class 11 points (wetland) were reclassified to Class 16 (as needed) to fit CSC DAV class scheme. 3. Class 23 points (bridges) were reclassified to Class 15 (as needed) to fit CSC DAV class scheme. 4. Class 30 points (reserved for ASPRS definition) were reclassified to Class 10 (ground within 10 ft of a breakline) to fit CSC DAV class scheme. 5. Class 31 points (reserved for ASPRS definition) were reclassified to Class 12 (overlap) to fit CSC DAV class scheme.

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

https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=4698;