Software used: ENVI, ArcGIS, Agisoft Photoscan, R, Orfeo Toolbox, USGS FUSION, Microsoft Excel
This course by Dr. David Wallin covered the theory of EM radiation, examinations of modern remote sensing platforms and products including satellite- and airborne sensors, and the application of remote sensing techniques to environmental questions. Techniques learned for analyzing remotely sensed imagery include classification, spectral analysis, change detection, principle components analysis (PCA), and image segmentation. We also covered topics on LIDAR, sUAS, thermal radiation, and assessing interpretation accuracy.
This course also required in depth writing in the form of a report for each module. My reports containing sample work can be found below:
Spectral Analysis of Persian Gulf Oil Spills
Unsupervised Classification of Baker Bay, WA
Timber Harvest Change Detection of Baker Bay Area, WA
Image Segementation of Acme, WA using Orfeo Toolbox, R, and ENVI
Nooksack River Channel Migration and Comparison using LIDAR and UAS Elevation Data
