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Objective | Researchers | Data Sources | Funding
This project explores the efficacy of different sources of elevation data in modeling the degree of inundation from hurricanes for the 37 coastal towns of Connecticut. The town of Milford was the main study region. Although Connecticut is often perceived to be safe from hurricanes, it has been struck by several severe hurricanes in the past. The hurricane of 1938, also known as the New England Express, Hurricane Carol 54’, and Hurricane Donna 60’, all produces catastrophic storm surges which devastated the Connecticut coastline. In order to minimize damages, the NASA DEVELOP team decided to explore the effects of using different elevation data, with varying resolution and accuracy, on the creation of flood maps. Comparisons were made between 10 foot, 30 foot and 100 foot LIDAR, 1/3 and 1-second arc NED and 1-second arc SRTM datasets. The purpose was to discover if flood maps that used different elevation datasets would indicate different flooded regions. Results may lead to more informed decision making for hazard planning and disaster management.
Faculty Science Advisor
-NASA SRTM 100ft -NED 30ft, 100ft -LIDAR 10ft, 30ft, 100ft CT DEP and USGS -CT DEP hydrography layer -CT DEP town boundaries -NGS elevation benchmarks UCONN CLEAR Program and NASA DEVELOP -Planimetric data for Milford, CT -GPS adjusted elevation benchmarks -CT coastal boundary
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