GIS 5100 Lab 5

This is the map I created in Part C of the lab, deliverable 11. It compares the spatial accessibility for ACC campuses with and without the Cypress Creek campus. This part of the lab was fairly straightforward, but once it went beyond this it got pretty rough. This map is the result of two Service Area analyses using the Network Analyst extension.

GIS 5100 Lab 4

For this assignment, I placed the second camera on the street corner just north of the original camera, and I changed the offset value to 50, to get a slightly more level view. Then I set the viewing angle to 45 to 90 degrees, to compensate for the shift northward. For the third camera, I placed it on the northeast corner of the next block down, keeping the offset value at 100 since it was slightly farther from the finish line. I set the viewing angle at 180 to 270 degrees to capture the finish line and surrounding areas. Here is a display of my results:

Lab 3 GIS5100

For this assignment, we were to delineate streams and watersheds from a DEM. After working through all of the steps, i.e. filling the sinks, determining flow direction, determining flow accumulation, determining stream order, and determining watersheds from pour points, a comparison was made between these results and the current data for the watersheds and streams of the island.

My results for the stream comparison were a little different from the current data. Some of the streams that were delineated were shorter than the current streams, and some weren't even part of the stream system at all. For the watershed, my result was almost an 8 square kilometer difference. Below is my final product.

GIS5100 Lab 1: Suitability Analysis

Below is the final product for the last part of this week's lab. To get to this, the suitability was based on land cover, soils, slopes, rivers, and roads. I used the Euclidean distance tool to get my suitability for the roads and rivers data, changed the soils vector data to raster, used to the Slope tool to determine the slope from the elevation DEM, and reclassified everything to 5 suitability ratings. Then I used the Weighted Overlay tool a couple times to get my final products. First, I used Set Equal Influence for all five criteria, then for the second map I manually changed the weight factors for an alternative result.

Lab 10: Supervised Classification

For this lab we were to take an image of Germantown, MD and classify a variety of land use types from given coordinates and then recode them into 8 classes.

I used a combination of tools including created polygons and adding them to the signature editor, as well as using the grow tool and adding those results to the editor. After recoding the image, I imported the final product into ArcMap and changed the symbology for each class to a more appropriate color.

This was my final map, which includes the distance image as well as the main, recoded supervised classification:

GIS4035 Lab 8: Thermal & Multispectral Analysis

For this weeks lab, we first created multispectral images by combining several layers into one image. This was done in both ArcMap and ERDAS. Then, we were to take one of the new images, identify a feature on it, and create a map showing that feature using the best band combination to make it stand out.

This was the map I made. I chose to identify the two bridges that crossed the river at both forks. I used a Red-3, Green-5, and Blue-6 band combination to make them stand out the best, being that the river had low temperature and low near-infrared, while the bridges had higher temperatures and low near-infrared.

Lab 7: Multispectral Analysis

For this week's lab, we were to first get familiar with using image histograms and the inquire cursor to interpret image data and identify features on an image. From there, we were given pixel information about three different features on an image and had to find the features and change the band combinations to make said features stand out.

For the first one I used a combination that made the water stand out against the land features:

For the second one, I used a combination that make the snow contrast well with the vegetation:

And for the final one, I used a combination that again made the water stand out. Only this water had a much brighter pixel value than all of the other bodies of water in the image.