Hello everyone,
I am facing a further issue with the arbitrary threshold for NaN set by the Random Forest tool.
When saving my product as GeoTiff to perform an accuracy assessment in QGis (since no tool is available in Snap, Accuracy Assessment in SNAP) or other environments, my NaN pixels are automatically assigned to different classes, thus altering the results of my original classification: in the picture below I prepared a quick table to illustrate the issue (the pixels are named with letters to help visualizing the correspondence and the mismatch between the two products):
Any idea on why this happens and how to prevent it?
Many thanks!