Hi Everybody- this is my first post!
I have a specific question regarding SAM and its usefulness in classifying multispectral imagery (not hyperspectral).
I am thinking of perhaps getting endmember data with a field spectrometer for different plant types, and then using the endmember data to classify a multispec. image.
However, how would this work? As the multispec sensor is only 5 narrow channels, (RGB, red edge and NIR) and the spectrometer would likely cover all of these channels. If I use spectrometer endmember data, it would only classify in relation to whats available in the bandwidth of the 5 channels.....is what I am assuming. Do you guys think this could be a robust way to distinguish between plant types?
The multispec. sensor is high spatial res. (5cm/pixel). Let me know what you all think . Thanks!
Alex