In this lab, we worked with data already prepared for us. Sometimes working with maps and using data to get results can be a little more personal with the output of results. Living along the Gulf Coast during the hurricane months makes a weather forecast become more important. Having been through a few hurricanes there is usually an anxiousness that comes with the build-up of what location will be hit hardest and the stubbornness of riding it out no matter what scale it is. This was a very tough lab. There were many steps to figure out on our own and more than one way to achieve the results. To get the results of these maps there were several geoprocessing tools we needed to use. Several of the tools used were Raster to Polygon, LAS Dataset to TIN, Tin to Raster, Raster Calculator, Reclassify, and Project Raster.
The measurement for the storm surge in this exercise was one meter which is a realistic assumption. We used meters for the analysis and typically in the US the information would be in feet. Given that a surge of 3.28 feet is a lot and may be reserved for a more intense storm. However, a high tide, waves, wind, and any previous rainfall accumulation might affect inland flooding, a scenario is created where it is better to use hypotheticals of varying heights when predicting the potential of a severe storm surge. Some populated coastal areas might be more affected than others due to being very heavily populated. Storm surge is one of many factors that need to be considered during storms but being able to predict based on GIS analysis will benefit communities. A more realistic assumption would be to include surge levels of lesser and greater heights giving a range of mapping predictions for dangerous surge levels. For emergency services in city, county, and state management it can be imperative to know the potential of a disastrous storm surge.
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