I am new to analyzing satellite images, but I need to make a land use map (from a Sentinel 1A image). I have drawn polygons from ground trotting training points and ran a supervised Random Forest classification. My issue is that I clearly see that the accuracy is not create. Especially, it classifies some areas as “cropland” in protected area where there is none. I also made sure to only the classes with a good-looking sprectum. And in the case of “cropland”, I also added polygons in areas I could see it was cropland from a higher-quality Binge map; so I have quite a few extra points.
How can I improve the classification?
Thanks in advance!