Sunday, November 26, 2017

GIS 4035 - Remote Sensing and Photo Interpretation - Student Spotlight

Module 10: Supervised Classification

The blog postings for Week 10 illustrated that a number of students had a good understanding of how to use Erdas Imagine to perform a supervised classification on multispectral satellite imagery.
However, Ashlee Malone's blog was especially good and stood out from the rest.  This week, we would like to highlight her excellent work!

In this lab, students were instructed to create spectral signatures and AOI features, produce classified images from satellite data, and recognize and eliminate spectral confusion between spectral signatures.  

Ashlee's blog description was well written, easy to read and outlined all the steps . She covered all the crucial steps required to conduct a supervised image classification in Erdas Imagine, including the development of training sites (using AOI layers), evaluating the training sites to limit the amount of spectral confusion, and ultimately the choice of spectral bands to include. She also included  an excellent description of both (a) the spectral distance file, which can be used to evaluate the accuracy of the classified image, and (b) the chosen classification method (maximum likelihood).  In addition to her well written blog description, Ashlee's map was well designed and easy to interpret (we especially liked her color choices for the different LULC classes). She also included the distance image itself as an inset so readers can evaluate the effectiveness of her classification. Her resulting classified image, was also once of the best we have seen. Differentiating "roads" and "urban" from using images with this level of spatial resolution (30 meters) is very difficult but her final map does an excellent job differentiating these often confused classes.  Overall, Ashlee's blog posting was excellent!




GIS 5935 - Special Topics in GIS - Student Spotlight

Module 8: Surface Interpolation

Lab 8 in Special Topics had students carrying out different surface interpolation techniques in GIS, including the Thiessen, IDW, and Spline. Also required was a critical interpretation of the results from surface interpolation techniques where students had to compare and contrast different surface interpolation techniques. This lab and the subjects is one of the more analytically rigorous topics that we cover. Comparing multiple interpolation techniques is an intermediate-to-advanced topic in GIS. Most of the student did great in this lab and were able to interpret comparative results within the context of map interpolation techniques.


In this spotlight, we would like to recognize Stuart Boyd! We have recognized Stuart’s work before, and he continues to set an example for his fellow students in the quality of work he produces.  One of the students’ final deliverables was to create a map layout of the difference between the two DEMs derived by the spline and IDW surface interpolation methods. Stuart’s map highlights his careful cartographic design choice and ability to capture/represent the analytical rigor of the methods utilized.  Notice the effective use of map insets and hue in his thematic mapping here.  Great work, Stuart!




Monday, November 20, 2017

GIS 4930 - Special Topics in GIS - Student Spotlight

Module 3: Analyze Week

This week's blog spotlight is from Special Topics in GIS.  For Module 3's Analyze Week, students were to perform Ordinary Least Squares (OLS) regression analysis on various independent socioeconomic variables for West Virginia in an attempt to define a statistical model that could help law enforcement agencies identify areas of potential meth lab locations (the dependent variable). 


This week, we would like to highlight the outstanding work of Adam Edumundson!




His blog post, in clear, cogent language, defined the complex methodology of this week's efforts while adding in some humor to make it a very approachable fun read for GIS and non-GIS professionals alike.  Adam has always turned in work that had light-hearted comments that gave insight into his various methodologies, and this blog post is no different!  Great job, Adam!