Module 5: Damage Assessment

 

The map above details destruction in the New Jersey Study Area as a result of Hurricane Sandy. The map was created by first making mosaic images for both a prestorm and poststorm mosaic utilizing the respective rasters for each. Then a point feature was created to serve to collect buildings. Domains were created to detail the structure damage, wind damage, inundation, and structure type. The chart above details the findings from study. From the results most of the buildings fell within 100-200m of the shore line. Additionally, the closer buildings were to the shoreline the more likely they were to experience damage.

Story Map Link: (https://storymaps.arcgis.com/stories/cf4f451b1dc74a79b7fe22ac86c1e211)

Module 4: Coastal Flooding Analysis

 

This week I created two maps. The map above details the changes in coastline with red marking a decrease in land and the dark blue marking an increase in land. I used the LAS Dataset to TIN tool before using TIN to Raster tool to created two DEMs, one for pre Hurricane Sandy and one for post Hurricane Sandy. Afterwards I used Raster Calculator and subtracted the pre Sandy DEM from the post Sandy DEM in order to get the final layer necessary for the map. 

This map details which buildings were affected by flooding in Florida. Moreover it compares the accuracy between the supplied USGS DEM and LiDAR data. From the findings

Module 3 Visibility Analysis

 For this week's Module we were tasked with taking 3 ESRI online courses. These courses were Introduction to 3D Visualization, Performing Line of Sight Analysis, Performing Viewshed Analysis in ArcGIS Pro, and Sharing 3D Content Using Scene Layer Packages. Introduction to 3D analysis introduced applying 3D symology to a 3D layer and using illumination and shadow to enhance realism for global and local scenes. Performing Line of Sight Analysis introduced the Construct Sight Lines tool, which Creates line features that represent sight lines from one or more observer points to features in a target feature class. The Sharing 3D content using Scene Layer Packages course demonstrated how to share and publish a 3d scene as well as the Add Surface Imagery and Layer 3D To Feature Class tools. The Add Surface Imagery Tool attributes features with spatial information derived from a surface. The Layer 3D to Feature Class tool exports feature layers with 3D display properties to 3D lines or multipatch features. The last course I took was the Performing Viewshed Analysis tool, with that I used the Viewshed tool which determines the raster surface locations visible to a set of observer features.

Module 2: Forestry and LiDAR

 

This week I worked with LiDAR in order to investigate the tree canopy of Shenandoah, VA. From the LiDAR, I created a Digital Elevation Model or DEM to display the elevation of Shenadoah. Finally, the Canopy Density layer was derived from the LiDAR.

Applications in GIS: Module 1: Hotspot Mapping

 

Figure 1: Grid Thematic Hotspot

Figure 2: Kernal Density Hotspot

Figure 3: Local Moran’s I Hotspot

For this Module I was tasked with determining which hotspot method was better for predicting crime. From my findings figure 1 achieved the highest crime density, therefore allocating police resources for those locations would likely prevent the most crime per sq mile.