Introduction to Remote Sensing

This course, GIS 512, provided an introduction to techniques used toward processing aerial imagery, with specific emphasis on multispectral and hyperspectral data sets. The primary software program used throughout the course was Erdas Imagine, but I acquired and used ENVI 5.2 as well. Through the course, I learned the basics of orthorectification, radiometric image enhancement, positional accuracy, spectral and spatial fusion, digitizing, unsupervised and supervised classification, assessment of thematic accuracy, digital stereoscopy, and LiDAR. As with other coursework, a final project was expected, so I conducted a follow up to the research conducted during the Introduction to GIS (GIS 510) course project, Assessment of Wind Farm Foot Print Size on Precipitation Patterns, and evaluated the use of satellite imaging to estimate land surface temperature (LST).

To view the documents generated for this project, see the attached files below.