Landscape is a dynamic phenomenon that almost continuously changes. General speaking, landscape change is a dynamic process affected by geophysical conditions as well as human activities. However, numerous activities by a large number of individuals are not concerted and contribute to the autonomous evolution of the landscape in a similar way as natural processes do. There is a well-established need to detect landscape change so that appropriate policies for the regional sustainable development can be developed. Landscape change detection is considered to be effectively repeated surveillance and needs especially strict protocols to identify the change categories and intensity. Methods for monitoring and analyzing landscape change - for example, remote sensing and GIS - are increasingly used in attempts to understand the consequences of such change. This paper developed a hierarchical approach that combines remote sensing technology, GIS, and sophisticated analytical techniques to quantify land cover change at several spatial scales. Through human-machine interactive interpretation, the interpretation precision was 92.00% in 1986 and 89.73% in 2000. Based on the interpretation results of TM images and take Yulin Prefecture as the case study area, the area of main landscape types was summarized respectively in 1986 and 2000. The landscape pattern changes in Yulin could be divided into ten types.