GIS 4045 Lab 1: Identifying tone and texture, and identifying features by attributes, in aerial photos

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This was a fun lab. This week, we practiced importing aerial photos and identifying areas by tone and texture, and identifying features of a map by characteristics such as shadow, pattern, size and shape, and its association to other nearby features. (I.e., a long shape originating on a beach and protruding into the water is likely to be a pier.) Finally, we compared true and false color images and created a table of how the colors transformed between the two. This lab highlighted the challenges of making subjective qualitative judgments in map analysis -- what is the real boundary between coarse and mottled, or dark and very dark? What's the relative likelihood that a cluster of pixels is a tree, a road sign, or a moose?

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