Predicting and Assessing the Impact of Hurricanes with GIS
Coastal Flooding was the topic of this week. The emphasis was on the damaging effects of Hurricanes
via various methods, which included the analysis of inspecting pre and post images and Digital Elevation Models
(DEM). I studied how Hurricane Sandy
changed the coast of New Jersey by creating a change layer due to the effects
of erosion. I also looked at how a 1-meter
storm surge assumption (SSA) could impact Collier County, Naples
FL. Via both of these assignments, this week saw the continued to use, manipulate, and analyze rasters via various geoprocessing
tools. I also compared the coarse traditional USGS
DEM vs. finer detailed DEMs generated from LiDAR. Below are two map images created from various types of analysis from the Hurricane Sandy and DEM comparison in southwest Florida.
In summary, we became familiar with procedures for coastal
flooding assessment. We looked at how
different DEMs can be used to delineate coastal flood zones. We performed overlay analysis in both vector
and raster domains. We also considered
the errors of omission and commission when a coarse quality DEM dataset from
USGS was compared to a more accurate and precise DEM created from LiDAR.
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