I’m really having a problem in the supervised classification of one Landsat 8 - OLI scene were I can’t get any results. I’m using for starters de Maximum Likelihood and I’m getting this kind of results:
I will recap my steps:
I imported a LS product: LC082040312017110601T1-SC20200511135125.tar.gz (using optical sensors, Landsat, 30m resolution function). Then a subset for the region of interest. After a re-projection to WGS:
It’s very strange, because to the previous pre-processing actions, the RF Classifier did work (partially I have to say, because is not classifying the water pixel reflectances, at least most of it, only the water breaking zones), take a look:
i had the same problem with landsat 8 and landsat 7 data. with the RF the classification worked well (also with the Minimum Distance), but with the ML it was the same as your case. i didn´t found a solution yet.