This week was my first introduction to remote sensing and visual image interpretation. We got hands-on experience interpreting image elements from an aerial photograph. For the first map created, we were working with a black and white image to identify tone (on a scale ranging from very light to very dark) and texture (on a scale ranging from very fine to very coarse). I found myself second guessing my choices a lot trying to get it “perfect”. I definitely see how this part of remote sensing is more of an “art” than a "science".
The second map was focused on using Shape/Size, Pattern, Shadow, and Association image elements to identify features in a photo. For some of the features I feel like I used multiple elements to come to my conclusions about the nature of the object I was viewing but I chose the element I felt best reflected my process.
Map 2 deliverable depicts several identified features categorized by which image element was used to identify them
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