Abstraer. Seleclive principal component s analysis (SPCA) has been appl ied lo highly-a nd/ or liltle-correlated subgroups of bands. It s usefulness \Vas demonst ra ted in t\Vo ways. First, lh e fin al result is a false co lour compositioll based 0 11 lhe first o rd er principa l component of each high ly correlated subgro up of bands, lhe resulting image contain ing more than 95 per cen l of lhe tota l variance of l be six TM ballds lI sed. Seco ndly, Ih e secon d order principal compone nt of

more »

... pairs of little-correla ted bands will show Ihe informalion Iha1 is unique for eac h bando 80th Iypes of analysis have been a pplied 10 characterizc Ihe geoJl1o rphological un ils al a si te in SW Spain. 80th mCl hodol ogies have demonsl rat ed lO be very useful in a difficult lo access area, wilh high vegela ti on diversily covering quite differenl geomorphic fealures.