The first two modules of our Photo Interpretation and Remote Sensing course focused on the background and fundamentals we need to build on throughout the semester. In particular, the two maps above show our experimentation in module two with the different criteria by which we interpret remotely sensed data (specifically aerial photography). In the first map, we were required to identify five categories of tone (from very light to very dark) and five categories of texture (from very fine to very coarse). Our next task, reflected in the second map, was to use four additional identification criteria (shape and size, shadow, pattern, and association) to interpret the photograph. The most difficult aspect of this task was attempting to consider each criterion in isolation; in normal interpretive practice we obviously use all available criteria. However, considering them singly was helpful; I had not considered how useful shadows might be to correctly interpreting aerial photography.
These introductory modules provided a good foundation in the science of remote sensing and the basics of interpreting the resulting data. I look forward to learning much more throughout the semester.
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