Sunday, December 10, 2017

GIS Portfolio

Hey everyone,

Checkout my new GIS portfolio the link is provided below. It still is in the works but I wanted you guys to be able to preview it. It has some of the projects that i have worked on during my internship at Escambia County Marine Resources.

I went to to create my online portfolio. I had no background in how this site works so it took some time get used to it. I am still trying to figure everything out, but I plan on making my portfolio a lot better.

Wednesday, November 22, 2017


I was not able to attend the an event but I cratered my own at my internship. The event took place in the office cubical with three of my coworkers. I discussed one of the projects that I previously worked. The project that I presented was one of the artificial reef deployment sites where some side scans located some natural reef structures. I then explained how I created my map. Fist I read through the permit to find the stipulations on natural reefs within the side and I found that there had to be a 200 feet buffer around these structures where no artificial reefs could be deployed. after doing this analysis I added the information to the permit zone map that I created previously and deactivated intersection points what fell within the 200 feet buffer. It was pretty interesting that most of my coworkers understood my whole posses.

Natural Reef

Thursday, April 20, 2017

Burn Scar

This Image was created on ArcPro and in the middle of the red circle there is a burn scar. The burn scar is almost completely cover by new vegetation and this means that the fire happen a long time ago.  

Thursday, April 13, 2017

LULC Accuracy

This map is a land use land cover classification of Pascagoula Mississippi. A stratified random method was used for sampling. After selecting 30 points the accuracy of the LULC classification was 70%.

Friday, April 7, 2017

Land Use

This image was crated on ArcMap and it shows a level two land use land cover classification of an areal photograph.

Tuesday, April 4, 2017

Supervised Classification

This image is a land classification for Germantown, MD. This supervised land classification was done on ERDAS and the map was crated on arc map. The Land was classified in eight different classes and area of each class is given in acres.  

Wednesday, March 29, 2017

Unsupervised Classification

This image was created using ERDAS and Arcmap. This map shows five classes of surface area. The area of each class was calculated suing a tool on ERDAS and then the total area was calculated from these five classes. These five classes were split into permeable and impermeable surface area and then the percentage was determined.  In this area there is a lot more permeable surface area.