Friday, October 20, 2017

Methamphetamine and Geography

The purpose of this lab was to begin preparing to complete a spatial analysis of the demographics associated with the presence of clandestine methamphetamine labs. The study area is the Putnam and Kanawha Counties located in West Virginia. The information that may be deduced from this analysis may be very useful to local law enforcement officials and will allow them to examine areas that are prone to the methamphetamine epidemic. 

Tuesday, October 17, 2017

Image Enhancement Exercise

This weeks lab focused on pre-processing of imagery before it is analyzed. Pre-processing an image can be a very important step in the analysis process. The imagery shown above was originally separated by many bands of no data. The final product has now been enhanced using Erdas Imagine and ArcMap. I found this lab to be interesting but difficult.

Friday, October 13, 2017

Story Map of Mountaintop Removal in Appalachia

Mountaintop removal is when coal seams are extracted by removing the land or "overburden" to get down to the coal. This can have many harmful effects that take hundreds of years to undo. Check out the links below to view my story map of mountain top removal and the map my group and I created through analysis of aerial imagery.

Mountain Top Removal Story Map


Tuesday, October 3, 2017

Using ERDAS Imagine

The map shown above is the land classification of aerial photography provided by UWF. The focus of this lab was using ERDAS Imagine to classify raster files and create subset maps. The subset map created in ERDAS was then exported as an .img file into ArcMap. After opening the layer in ArcMap a final cartographic product was created. 

Friday, September 29, 2017

Using Erdas and Arcmap to Analyze Mountain Top Removal

Above is an image of a layer that was created to analyze the potential areas of Mountain Top Removal in West Virginia. This was done by using Erdas and ArcMap to analyze satellite imagery. More specifically, an infrared image of the area was put into Erdas Imagine where the pixels where then classified using 50 classes. After the 50 classes were created they were defined as either MTR areas or Non-MTR areas. The file was then exported as an .img file into ArcMap where the Reclass tool was used to give all MTR areas a value of 1 while all other areas were defined as "no data." This produced an image of only MTR areas which you see above.

Monday, September 25, 2017

Ground Truthing

The map above shows the results of the ground truthed imagery from Module 3. This lab demonstrated how easy it is to classify data incorrectly and how important it is to ground truth that data to ensure all further analysis is valid. This map was ground truthed using Google Maps and has an 80% accuracy.

Friday, September 22, 2017

Mountaintop Removal in Appalachia

The map above is a basemap of the study area allocated to me as part of the group study that began this week. This is a study of the environmental effects of mountaintop removal in Appalachia and how aerial imagery can be used to analyze environmental factors and things that would otherwise be almost impossible to measure. For example, the streams layer above was created using a DEM file through a series of steps in ArcGIS. By using the hydrology toolset a polyline streams layer was able to be created from a raster file. It is important to understand watersheds when analyzing mountaintop removal because they are the most important and vulnerable assets to the landscape.

Story Map

Story Journal