Module 5 - Unsupervised & Supervised Classification

        This week's module involved performing unsupervised and supervised classification using ERDAS Imagine. We were provided satellite imagery and created a land use classification using spectral signatures. Additionally, I generated signatures for roads and water, but due to spectral overlap between road and deciduous forest signatures, I had to create additional signatures to address this issue.

Module 4 - Spatial Enhancement, Multispectral Data, and Band Indices

     This week's module delved further into the features of ERDAS Imagine. We learned how high-pass and low-pass filters change aerial imagery, how image histograms are used to assist in feature identification, and how different band combinations enhance specific features such as water bodies.

    This map layout depicts an area of Washington State where a stream meets the bay. Highlighted in light blue is the feature of interest that is bright in band layers 1-3, and unchanged in layers 5-6. Using a combination of Red: 4, Green: 3 and Blue: 2 I was able to highlight this variation in the water.

Module 3 - Intro to Electromagnetic Radiation (EMR), Sattelite Sensors and Digital Image Processing.

     This week's module introduced us to ERDAS Imagine and it's features. Specifically, we were tasked with creating a subset of an aerial image in ERDAS to use as a base for a map layout in ArcGIS.

      This map represents the land classification of a subset of Washington State by hectares. This map frame was clipped from within ERDAS.