GIS 4035 - Module 10 - Germantown, MD - Supervised Classification

This week we were tasked with another image classification project. For this project a 57.42 square mile study area located in Germantown, Maryland was subjected to a supervised classification. The following classification consisted of a recording to 8 categories. The 8 categories are as follows: Urban, Grass, Deciduous Forest, Mixed Forest, Fallow Field, Agriculture, Water, and Road. The following features were selected for visually and based on provided coordinates using a drawn polygon method and the region growing properties > at inquire > spectral euclidean value method. The spectral euclidean value and the neighborhood value were adjusted accordingly to obtain features in which there was minimal spectral overlap.
The attached map deliverable highlights the 8 feature categories and their corresponding areas in square miles. The Spectral Euclidean distance map shows a representation of spectral Euclidean distance with brighter areas being represented as values with a larger pixel difference thus having a higher likelihood for wrong classification. The inset spectral Euclidean Distance map is overall dark indicating correct classification.