Wow, it's already been 3 weeks. How does the time go so fast? Welcome to the discussion on terrain visualization. The two different aspects of this visualization that were the focus of this week are contours and hillshading. The purpose of hillshading is to help convey and understand the 3 dimensional aspects of a region. This is predominately achieved by creating a surface with known elevation, be it a digital elevation model, triangulated irregular network, or digital surface model. A hillshade is also created by applying an illumination source on a scene. Normally this source is simulating the sun from a particular azimuth and elevation. The direction of illumination then casts shadows and illuminates the features or topography based on the direction it originated. There are multiple techniques to apply hillshading, from a traditional singular direction, to multi-directional, which is designed to compile multiple views into one scene.
The map example below is a culmination of multiple different objectives. I utilized a multidirectional hillshade on a TIN of Yellowstone National Park. Overall, I think the multidirectional technique better highlights ridges and valleys oriented in multiple directions than the traditional unidirectional hillshade. That is the underlying layer in the map below. The colors of the main map are based off of a Land Cover Classification for the park. Multiple types of trees and vegetation are identified by their respective color. Non-forested and water covered areas are also identified. The classified raster was provided with more class break outs than are presented here. For clarity I combined like classes of trees, and then adjusted the colors to reflect the areas things were present. The smallest distinct areas have a brighter color to make them still identifiable, and the lower amount of those regions still keeps them fairly mid ground in the visual hierarchy. This Land Cover layer then gets a level of transparency to let the underlying hillshade show through. This combination gives us a more useful look at the topography and gain more meaning into the distribution of land cover classes.