Hi - I made a separate post yesterday, but this post probably describes what I want to do more appropriately. Similar to @salka , I want to create one RF classifier for inshore sea ice, but the various ice types I need to create training samples from are spread over 10+ different scenes; the individual scenes I am using do not have enough ‘sea ice’ pixels to use within the RF classifier, so I need to collect the samples from different scenes.
Essentially - can I combine all the different training samples from say, 10 scenes, into one? I hope I am making sense - if not I will try to add more context.
Thank you for any help you can offer, it is greatly appreciated.