Photo Interpretation and Remote Sensing - Spatial Enhancement and Band Indices

To identify this feature we were given information about it's appearance in different spectral layers. From there we had to compare layers and select appropriate band combinations to highlight the feature and make it distinct from it's surroundings. 

 In this week's lab we examined techniques for manipulating the display of aerial imagery based on which areas of the visible spectrum we wished to emphasize. Using ERDAS and ArcPro, I explored the distribution of reflectance in satellite imagery from USGS, and adjusted the band assignments in the visible spectrum to identify different features. Much like the True Color and False Color Infrared from previous labs, the amount of different wavelengths reflected depends on the type of surface encountered by electromagnetic radiation. By changing how the bands of visible light are visualized, analysts can discern between different types of surfaces, such as water, compact ice, new ice, healthy vegetation, and dry vegetation.