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F. EXAMPLE PROJECTS WHICH BEST ILLUSTRATE PROPOSED TEAM'S QUALIFICATIONS FOR THIS CONTRACT (Present as many projects as requested by the agency, or 10 projects, if not specified. Complete one Section F for each project.) a. PROJECT OWNER 21. TITLE AND LOCATION (City and State) 25. FIRMS FROM SECTION C INVOLVED WITH THIS PROJECT 24. BRIEF DESCRIPTION OF PROJECT AND RELEVANCE TO THIS CONTRACT (Include scope, size, and cost) 20. EXAMPLE PROJECT KEY NUMBER a. b. c. d. e. f. (1) FIRM NAME (2) FIRM LOCATION (City and State) (3) ROLE(1) FIRM NAME (2) FIRM LOCATION (City and State) (3) ROLE(1) FIRM NAME (2) FIRM LOCATION (City and State) (3) ROLE(1) FIRM NAME (2) FIRM LOCATION (City and State) STANDARD FORM 330 (REV. 8/2016) PAGE 3 (3) ROLE (1) FIRM NAME (2) FIRM LOCATION (City and State)(3) ROLE b. POINT OF CONTACT NAME 23. PROJECT OWNER'S INFORMATION c. POINT OF CONTACT TELEPHONE NUMBER (3) ROLE(1) FIRM NAME (2) FIRM LOCATION (City and State) 22. YEAR COMPLETED PROFESSIONAL SERVICES CONSTRUCTION (If applicable) Improve USACE JALBTCX Toolbox Capabilities, Nationwide USACE Coastal Protection Engineering LLC Subconsultant to USACE contractorBoca Raton, Florida CPE is currently assisting the U.S. Army Corps of Engineers (USACE) Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX) by creating tools that quantify shoreline change, volume change, and resiliency. The original project quantified coastal change from more than 2,000 lidar data sets on 3,290 km of Gulf of Mexico and east US coastline using a grid-based approach to measure shoreline and volume differences within GIS using a custom Python-coded system. Following Hurricane Matthew, the JALBTCX toolbox was updated to rapidly quantify shoreline and volume change to allow for USACE to provide their Districts shoreline and volume change quantifications within five days of lidar data collection. This information has been critical for USACE to know where and how much damage was caused by the storm and provided the data needed to justify where emergency response was necessary. The current project is being led by Dr. Robertson to update the JALBTCX toolbox by: 1) converting feature extraction tools to Python and incorporating into the JALBTCX toolbox, 2) making edits to the JALBTCX toolbox to streamlining the processing steps, 3) updating the JALBTCX toolbox to allow for multiple datasets, and 4) updating the CRI and incorporating into the JALBTCX toolbox. CPE has converted a USACE developed a feature extraction tool using Matlab to ArcGIS Python. The tool extracts the shoreline position, dune toe, dune crests, and beach slope from survey and lidar based profiles . CPE reviewed the tool and developed ArcGIS Python scripts to replicate the Matlab functions, tested the scripts, validated the scripts with existing data and developed a tutorial to teach future users. CPE has updated the JALBTCX toolbox to be more streamlined and process multiple datasets. Past use of the JALBTCX toolbox has revealed repeated steps that have been combined to minimize user interface. The toolbox has been updated to read past data and incorporate additional datasets that expand the change analysis to more than two datasets. The Coastal Resilience Index (CRI) has been developed to quantify the resiliency of beach and dune systems. CRI was developed to leverage the significant amount of beach profile data that USACE collect when designing, installing, and monitoring Coastal Storm Risk Management (CSRM) projects. CRI relies on morphology metrics derived from the feature extraction tools in order to quantify the protective qualities of a coastal system. The index compares the quantification of protective qualities (beach height, beach width, beach density) with disturbance factors (wave height, storm surge, wave runup) to allow for comparison of a beach's resiliency alongshore and to other beach environments. Jennifer Wozencraft 5 228-252-1101 2020 N/A