Lab03

 For this Lab I worked with ERDAS Imagine and learned how to work in it and manipulate the data. For example I learned how to open it and edit it to fit it to the viewer.  I also learned about how the number of pixels can affect the different types of resolution of the raster and how to retrieve and manipulate the attribute table in ERDAS. Then I learned how to take an raster and bring it from ERDAS to ARCGIS and us the data gathered to make a map like in the image shown above. Additionally I learned how to calculate the area and display it in both software programs.

Lab 02 Ground Truthing

 For this lab we classified areas of the Pascagoula Mississippi based on level 2 Land Use and Land Cover classifications giving each classification a different color to distinguish it from other classifications. Then afterwards we check our work for using google maps and created 30 random points within the boundaries of the image using the create random points tool to check if my classification was correct via the street view feature.  Then we marked the points accordingly with correct points being green and incorrect being represented with red. We then measured the accuracy of my classification  and corrected the point in the attribute table if it wasn't. For my map I was able to get a 90% accuracy rating based off the points that were mapped.

 

Lab01 Visual Interpretation

 

In this lab we were tasked with identifying some of the basic features of images that are used to identify objects in these images. For example I used my own institution to determine to classify each of the different level of tone from very dark to very light and textures from very fine to very coarse. In the second map I used one of four strategies to identify objects such as Shadow, Association, Pattern, and Shape/size. For example I was able to identify parking lots, cars, water towers, and light poles using one of the strategies and additionally see how false and true color can differ on the same image.

Module 6 Suitability Part 2

 For this lab I worked with suitability map and creating a corridor based on the suitability criteria from 3 different layers. This was done by reclassifying the data and then combining it into a single weighted layer then using the cost distance twice to create a corridor. Then I created different thresholds that created the boundaries of the corridor suitability area that connected the two halves of the national forest based on roads, land cover, and elevation for the black bears based on their preferences.

Module 6 Suitability Part 1

 In this module we created suitability maps using a variety of tools and concepts. From the image here you can see that two scenarios were used to find the least cost path from two locations. This was accomplished by creating and reclassifying certain rasters to show the best location for the route. The rasters were then added together and used two different weights of the inputs which generated two maps as you can see above in which the green pixels are the most suitable and the red are the least suitable.  

Damage Assessment

 

In order to create this data and the analysis I used ArcGIS Pro to create several layers one point layer and a coastal line layer. The point layer had several different domains so I had to go through and create points for each of the properties then edit them to display and contain the damage information from the hurricane. Then after that I created a line layer and a multi ring buffer based on 3 different distances then I joined it with the points layer to get accurate counts where the majority of each damage type was located and display that data.  

Coastal Flood Analysis

 

For this lab I worked on the ability to use GIS accurately assess coastal flooding through several methods of analysis. In general we used DEM models to gather data and assess areas that were at risk to flooding. I had a lot of trouble with the analysis on this lab and with the overall process to get the final projection. The concept wasn't the challenging the part it was some of the processes. For example generating the raster's in useable polygons was a long multi step process that I performed but the software kept sending me error messages and the data would corrupt itself if I restarted the software. I was able to overcome this by luck after the error corrected itself. Additionally the analysis of my Florida coastal flooding caused some issues as I was unfamiliar with some of the options so I had to calculate most of my results in a manual way.