Hi - I'm looking to do small scale vegetation classification using georeferenced aerial images created from a drone. This work forms part of habitat condition monitoring on nature conservation sites. I have had some success however I think I would achieve better results using additional height information derived from DEM and DSM (DSM minus DTM). I can find nothing on the various help sites only a mention that additional datasets can be used with the ArcGIS Pro Classification Wizard. It seems to fit in the "Train the Classification" area of #the process as shown in the following link: http://proceedings.esri.com/library/userconf/proc18/tech-workshops/tw_1666-182.pdf.
Does anyone have experience of these routines as I can't find where to include a DSM/DTM in the process. I have been following the route of supervised object based classification, creating a segmented image, training samples, Random Trees with Active chromaticity color, mean digital number and standard deviation.
Any help appreciated