Remote sensing technology can be applied in research

planning

and management on a large-scale environment.It is a powerful tool for natural resource investigation.However there are various sources of satellite images and classified methods

so the researchers have to find the best combination to meet their requirements.In this study

the SPOT and IKONOS satellite images were used as material

and collocated with different classified methods to examine the spatial distribution of vegetation types in Kenting National Park.It is feasible for discussing the above issue by using satellite images

and different classified methods to get different classified accuracy.Although the spatial resolution of IKONOS is higher than SPOT

it is contrary to get lower classified accuracy by omission and commission.Moreover

there are discrepancies between different vegetation types in spectrum characteristics

so it needs to improve the accuracy of classification further.Good training area and proper methods can improve the accuracy of classification.But owing to the atmospheric effects

the topographic effects

and the overlap of spectrum characteristics in different categories

the classified accuracy of satellite images were always to be influenced.Therefore

if this problem can be solved effectively

the results of images classification will be usefulness.