Hi, I am running a RF classification using multi-temporal S2 level 1C images (not processed to 2A yet). The classification looks good but some of the pixels are classified as NaN. Here are my steps: -Resample (to 10 m) -Subset (reduce size of images) -Import Vector (shapefile of the study area) …

the classes are not randomly assigned, but treated as NoData within SNAP because they fall under the confidence criterion defined in the properties of the LabeledClasses raster. In the image below, all classified pixels with confidence below 0.5 are treated as NoData, although they might contain as…

Multi-temporal Random Forest - NaN pixels

snap

MCG August 3, 2017, 8:31am 3

Thanks for the clarification. Although RF does not have a lot of parameters, it would be nice to have more control. I guess my problem was related to this topic. I post the link for new readers.