T o p o g rap h ic c o rre c tio n is a n im p o rta n t p rep ro cessin g step re q u ire d in m an y re n ıo te sensing ap p licatio n s. B ecause of d iffere n t to p o g rap h ic conditions, sam e ob jects show d iffere n t b rig h tn e ss v alu es in th e im age. F o rest a rea s of o u r c o u n try a re com m only fo u n d in n ıo u n ta in o u s a rea s. T h erefo re, in su ch a reas, classification accu racy o b tain e d fro m classified im age is negatively affected. In this stu d y , C osine a n d M in n a e rt to p o g ra p h ic c o rre c tio n m eth o d s vvere used in L a n d s a t E T M + d a ta . C o rre c te d im ages a n d u n c o rre c te d im age vvere classified acco rd in g to su p erv ised classificatio n m eth o d . W h en th e re su lts of classifications vvere c o m p a red vvith each o th e r it vvas d e te rm in e d th a t tlıe to p o g rap h ic c o rre c tio n a p p ro ac h es y ield ed a n im p ro v e m en t o f th e classification a ccu racy . T he b est o v erall classificatio n a cc u rac y vvas achieved fro m M in n a e rt m eth o d .