GIS4035 - Module 4 - Spatial Enhancement, Multispectral Data and Band Indices

For this lab, four types of skills were learned to create this map. The first was examining pixel value histograms for shapes and patterns in the data. This allowed for understanding how many bright and dark features were within an image. The second was viewing an image as grayscale to identify darker and lighter shapes and areas was. This was used to find extremely dark or light features, but could also be used to identify features that had a transition of dark and light, called edge detecting. The third was adjusting multispectral bands to make specific features stand out from one another. By adjusting the red, green, and blue bands of an image, certain features that would not be able to be seen in a True Color or grayscale, would appear. Lastly, the fourth was implementing an inquire cursor to find and identify the specific brightness of features. The inquire cursor in ERDAS Imagine can identify which layer of an image is the brightest or darkest, and can also be used to identify the bands and pixel values of specific features.