1) Learn how to access and explore NOAA Sea Level Rise data using ArcGIS Pro
2) Analysis to display sea level rise impacts on area and buildings
3) Use 2D and 3D visualization for data exploration with Google Earth Pro
4) Calculating and visualizing sea level rise of the US coastline
For conducting the Lab, I visualized the scenarios of sea-level rise using ArcGIS pro to identify the increasing sea level impact. First, I explored NOAA sea level rise data using the sea level rise viewer. I analyzed the sea level rise impact on the Miami buildings using a building footprint. In the second part, I used Google Earth Pro for assessing and visualizing sea level rise data in 3D. In the last part, the rater calculates the tool used for conducting the simulation of rising sea levels in the US coastline. I conducted this study using ArcGIS Pro and Google Earth Pro.
In the first part, I explored loaded NOAA sea level rise shapefile, and then applied the swipe tool in ArcGIS Pro. This tool helped to identify the changing sea-level rise. I exploited the link views for visualizing two maps simultaneously. Also, I added a 2D building footprints layer and determined which buildings are impacted after rising a 3ft sea level. Second, I exploited Google Earth Pro. In this process, I can export the shapefile in Google Earth Pro using layer to KLM tool and this allowed to display 3D sea level rising. I selected Manhattan and Venice where it is the city in Italy for doing visualization. In the last part, I conducted the raster calculator and reclassify tool for visualization of a 70-meter sea level rising in the US coastline. The given value of the Dem file from 0 to 4328, and thus I recalculated this from -70 to 4328.
<- The simulations of rising sea level in Manhattan
Part 1
In the first part, I visualized sea level rise using the shapefile from NOAA and the building footprint file. Notably, I could learn swipe function and link-view function in ArcGIS Pro. I think these functions are useful to compare changes over time. However, I think the swipe functioned only horizontal, so it is not effective to display the vertical change. Also, I applied to build a footprint for showing the impacts on buildings in Miami after the sea level rise at 3ft. This result shows that 7,440 buildings among 14,101 were affected after increasing sea level, and this occupied 57.76 %. Thus, I could learn that a small increase in sea level could make a huge impact on the city.
Part 2
In this part, I applied the visualized sea-level rise in Venice where it is the city in Italy using Google Earth Pro. Venice is well known aquatic city. There are two reasons why I choose here. First, this is a beautiful city with great scenery and going to Venice is one of my bucket lists. Second, I always worried about the situation that the submerge of the city after sea rising. Unfortunately, I could identify that Venice is very vulnerable after the sea rise simulation.
Part 3
In this part, I calculated the sea-level rise for the US coastline. I think using raster calculation is simple and easy to expressing sea level rise but it is powerful and professional. For conducting 70 meters of sea-level rise, subtract 70 meters from 0 meters DEM file. I choose Alabama state after the sea level increase. Since Alabama consisted of low land and high land, it made a dramatic change. Also, I changed the coordinate system to Mercator Auxiliary Sphere for displaying area well.
1) Building Footprints – Miami Dade
2) Sea Level Rise Data – NOAA
3) IPCC Report: Sea Level Rise is a Present and Future Danger – Rob Moore 09/25/2019
4) IPCC Special Report on the Ocean and Cryosphere in a Changing Climate
5) Lab 08 of WATS 6920 course, USU
6) Base Map (Esri)