Remote Sensing: Module 7 - Image Preprocessing Part 2

     This assignment continues examining image processing techniques by way of multispectral analyses. Different band combinations can be used to tease out information that may be missed when viewing an image in true color. In other instances, true color is the best option for viewing a given feature. What band combination is best is ultimately determined by what feature is under examination.
     Three features were described in our lab assignment and we were tasked with identifying them based on the given criteria. Histogram spikes and trends helped indicate whether a feature has dark or bright pixel values. From there, examining greyscale versions of each band in conjunction with multispectral versions of the image aid in visually assessing trends and confirming patterns in the histogram. In ERDAS Imagine, the Inquire Cursor is invaluable. It provides information about a pixel for each band including its frequency and LUT value. The Inquire Cursor helped confirm the features described.
    Below are the map deliverables for this assignment. Each map shows one identified feature displayed in a band combination that highlights that aspect. An inset map is included in true color to provide a true-to-life context. Without giving away too much detail, the first feature is a water body as the pixel characteristics matched the histogram characteristics provided for a certain layer. The second and third features are snow atop a mountain peak and sediment in water, respectively. The pixel values also fit the given description. Band combinations are noted on each map with a brief note on why that combination is used. t

Feature 1

Map 1 Feature Identification Exercise Using Multispectral Analysis -- Water Bodies 

Feature 2

Map 2 Feature Identification Exercise Using Multispectral Analysis -- Snow

Feature 3

Map 3 Feature Identification Exercise Using Multispectral Analysis -- Variation in Water