Forest landscape spatial pattern and identification differences in their internal hierarchical characteristics are important basis for forest resource management and ecological environment planning. Huocheng forest farm, locating in the western section of north slope of Tianshan Mountain in Xinjiang, a place with relatively stable landscape diversity, was selected as typical study area, based on forest resource inventory data for management and digital elevation model (DEM) date, and with the support of geoinformation system (GIS), dimension reduction method of principal component analysis (PCA) and landscape pattern indices (LPIs), the spatial patterns and grading characteristics of forest landscape in the forest region were studied through landscape classification and landscape index analysis. The following results were obtained. In the first place, the forest landscape pattern had obvious hierarchical characteristics in the north slope of Tianshan Mountain. At different levels of organizational hierarchy, landscape was seriously fragmentized, and the patch size showed considerable spatial variability, in addition, with the refinement of forest landscape organizational hierarchy, spatial variability of some landscape indexes core patch area, fragmentation, landscape richness, adjacency were increased. In the second place, at a higher grade level, patches density (PD), average patch area (AREA_MN), landscape shape index (LSI) and perimeter area fractal dimension (PAFRAC) were key indexes for summarizing the spatial pattern of forest landscape. The research result can provide a strong reference for optimizing forest landscape pattern and healthy management of forest landscape resources in landscape level by using the dimensionality reduction method of landscape pattern information. Most noteworthy, the protection and refinement management of forest landscape resources should be fragmentation, richness and spatial adjacency of landscape.