Supervised Classification

Supervised classification involves creating a "seed" of spectral data that will be used as the core pixels for creating land cover classification. Unlike unsupervised classification, only minimal user interaction is needed.  Familiarity with the area is still an important aspect as the analyst still needs to know what land features are in the ares such as lakes, roads, urbanized and residential, forest (deciduous and/or conifer) and grass.