Lab 10 - Supervised Image Classification

GIS 4035

 

 

The map above is of Germantown, Md.  In this weeks project we were to work with Supervised Image Classification.  I worked to create spectral signatures and AOI features within EDRAS.  I was then able to produce a classified image from the satellite image that identified key areas of Land Use so they could be monitored moving forward.  This exercise also reinforced the ability to identify spectral confusion by identifying features that might have similar characteristics, but when viewed in different bands became more unique to identify.

 

Bringing all these elements together I was able to produce the above map, and show where there may be discrepancies in the classification with the distance inset provided.

 

Overall I enjoyed this lab, and it allowed me to gain a better knowledge of how images can assist in land classification through automated processes and tools in the EDRAS program.