Assignments

  • Tony Grove Study Sites

Lab 8: Imagery Classification

Goal of this map: analyze the local county to determine how much urban development has increased in the last four years. To accomplish this task, I used the 2001 NLCD thematic raster for the study area and the latest Landsat 8 data. I classified the Landsat data according to the MRLC Developed class and then compared it to NLCD data. In this exercise, I created the thematic raster using unsupervised pixel-based image classification. – ESRI.com

Growth of developed areas.

Assignment 6

Above is the model that was constructed in order to locate the best habitats for the given species. The map below shows those areas, in blue. Habitat, predators, and food supply were all analyzed using GIS tools, in order to derive the following results.

Assignment 4

1. Hillshade Effect Comparison 

 

 

 

COMPARISON OF CONTOUR DATA

The five maps below all show the same area, but each uses a different resolution and data source. The nuanced differences can be noticed when comparing the smoothness or jaggedness of the contour lines, and the slightly varied shapes of drainages and peaks.

Lab 4: Working with DEMs

This lab seeks to display the differences between maps of different resolutions: 5-m, 10-m, and 30-m. The area of interest is located near Alta, Snowbird, and Solitude ski resorts, just East of Salt Lake City, Utah.

Part 1

Part 2

In the three maps below, contour lines are used to show elevation. The maps are focused on a very small extent in order to show the small differences between each map. The differences are especially clear along the drainage lines of Kimball Creek. The contour lines near this drainage differ slightly among maps due to the different resolutions of data used.

Assignment #3: Distance Analysis

Task 1

The map above displays developed areas within 500 m of lakes. Other layers shown include elevation and lake locations.

 

The above map displays the least-cost path (the light blue line) from the nearest fire station to an accident. This map uses cost-distance analysis to produce the most effective emergency response. Speed limits, distances, road maps, elevations, and travel times have all been considered in these calculations. The accident is represented in the key as “fire_pt”, and on the map as a yellow car with a hazard exclamation point beside it.