Change Detection with Maps, but with a lot of classes
After going through the tutorial for Change Detection with Maps, I'm testing how to apply this to my project. T1 and T2 (taken 8 months apart with UAV) would be unsupervised classified maps with 5 classes. This imagery will be a pond with both emergent and submerged aquatic vegetation (using NDVI only wasn't a good metric).
Using the Level concept from the tutorial...
I've applied it to my own project where there may be 5 unsupervised classes:
Instead of positive or negative vegetation change, for my project it will be what did the class change to or did it remain the same classes. I have 5 classes that may not change (aka Class 1 remained Class 1), and 20 possible changed classes (Class 1 is now Class 2).
I am testing with NAIP imagery (same resolution/sensor) before my next UAV imagery comes in.
Am I going about this change detection with maps idea correctly?
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