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2023-140C
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2023-140C
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EXHIBIT A <br />Indian river County Muck Survey <br />SCOPE OF WORK (Outputs/Deliverables) <br />Florida Tech will use a phased approach to locate and identify potential muck deposits within Indian <br />River County. The phased approach will utilize a combination of existing knowledge and remote <br />sensing techniques to identify probable muck deposits. These efforts will be combined with gridded <br />in-situ probing throughout Indian River County using a tessellated grid system with cells sized <br />between 1 and 5 km on a side based on morphological and hydrologic features of the lagoon (e.g., <br />Figure 2) <br />Figure 2. Example grid showing 1 km grid cells. Broad survey will include randomly selected sites <br />within each tessellated grid cell to ensure even coverage yet random site selection. <br />TASK IDENTIFICATION: <br />Task 1. Conduct a literature review and compile existing data for the location / thickness of muck <br />in Indian River County. <br />Task 2. Using remote sensing techniques (e.g., Lidar) and existing knowledge of the lagoon system, <br />locate target areas for further investigation using in-situ probing. Create sample grid and complete <br />study design based on historical data and remote sensing. <br />3 <br />_ <br />wa <br />assn <br />. Roseland <br />Sa <br />stun <br />e' <br />�4 <br />G) <br />r 1A <br />Sth St <br />51W <br />VNO <br />Mach <br />Figure 2. Example grid showing 1 km grid cells. Broad survey will include randomly selected sites <br />within each tessellated grid cell to ensure even coverage yet random site selection. <br />TASK IDENTIFICATION: <br />Task 1. Conduct a literature review and compile existing data for the location / thickness of muck <br />in Indian River County. <br />Task 2. Using remote sensing techniques (e.g., Lidar) and existing knowledge of the lagoon system, <br />locate target areas for further investigation using in-situ probing. Create sample grid and complete <br />study design based on historical data and remote sensing. <br />3 <br />
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