Abstract: Based on remote sensing data of 1974, 1994 and 2002, the landscape changes of giant panda habitat in the Xiaoxiangling Mountains was quantitatively analyzed by combining 3S technology with quantitative analysis of the landscape ecology in this paper, and the mutual-transformational phenomena and dynamically changed characteristics which took place in the landscape of the Mountains in approximately 30 years were summarized by comparative analysis. At last, the concretely variation trend, the changing amplitude were determined. To analyze the Mountains landscape pattern, we identified 9 vegetation types using “optimize supervised classification method”, on field investigations, and a selected group of landscape metrics at the class and landscape level was used to quantify the changing pattern of vegetation landscape in the study region. All of the analyses were performed using a geographic information system and the landscape pattern analysis software Fragstats. The conclusions are as follows: 1) The diversity and uniformity of the vegetation landscape has reduced, but connectivity has enhanced, and every vegetation type has no more deposited in the whole landscape and created ascendancy vegetation type gradually, the cracked extent of landscape has relieved in the district in nearly 30 years. 2) Coniferous and broad-leaved mixed forest and coniferous forest have unceasingly increased.And coniferous and broad-leaved mixed forest was the background of the area, while it has had the biggest amplification in the first 20 years, increased 14.27%. Sub alpine shrub and sub alpine meadow have variation tendency that change from “increasing at first” to “decreasing at last”, while alpine shrub with the contrary variation tendency, and has had the largest damping in the first 20 years, decreased 11.05%. But alpine shrub basically unchanged in approximately 30 years. The research results could not only reveal the distribution structure and change law of its landscape, but also provide referenced datum for macroscopically protection of local ecosystem environment.