ABSTRACT
Generating an effective land use land cover classification may require additional classification techniques, beyond the traditional unsupervised and supervised approaches, to extract as much information as possible from the imagery data. Additional techniques may involve several individual or combined processes to achieve the necessary classification goals. Popular techniques may include generating a water-only image mask, which is useful for masking out, or removing, the water from an image, or creating a Normalized Difference Vegetation Index (NDVI). This exercise will explore several additional methods, including generating a thematic image recode, creating a water-only image mask, a NDVI, an impervious surface map, and a combination of multiple output layers processed through a graphical model interface.
