The Three Gorges Project (TGP) is a mega-water conservancy and hydropower project that have attracted worldwide attention. Under the influence of human activities, the landscape pattern has changed greatly. Using landscape metrics to analyze landscape pattern changes is the critical to understanding landscape pattern and ecological process. In this study, Landsat TM/ETM+/OLI images are used to extract indices for area edge, shape, spatial distribution, and diversity. Additionally, 19 landscape indices are taken to scale the granularity of the landscape level and the class level. An analysis of appropriate size is used to quantify the response of landscape indices to change landscape patterns during the four stages and a Crosstab model is used for pattern presentation. Finally, landscape indices are analyzed utilizing of Pearson correlation method to identify the landscape indicators suitable for the Three Gorges Reservoir. We have found that both the class level and landscape level indices are sensitive to grain size changes. Our results suggest that the suitable grain size is 30–60 m. Furthermore, the indicators suitable applied to analyzing changes in the landscape patterns in the TGR are Class Area (CA), Number of Patch (NP), Largest Patch Index (LPI), Landscape Shape Index (LSI), Effective Mesh Size (MESH), and Patch Density (PD). The main reasons for the change of landscape pattern in the Three Gorges Reservoir are land consolidation project, returning farmland to forest project, nature reserve construction, hydropower station construction and urbanization development.

三峡项目（TGP）是一个大型水利和水电项目，引起了全世界的关注。在人类活动的影响下，景观格局发生了巨大变化。使用景观指标分析景观格局变化对于理解景观格局和生态过程至关重要。在这项研究中，Landsat TM / ETM + / OLI图像用于提取区域边缘，形状，空间分布和多样性的指数。另外，采用19个景观指数来缩放景观级别和类级别的粒度。适当大小的分析用于量化景观指数在四个阶段期间更改景观格局的响应，而交叉表模型用于格局表示。最后，利用皮尔逊相关法分析景观指数，确定适合三峡水库的景观指标。我们发现，等级和景观等级指数都对晶粒尺寸变化敏感。我们的结果表明，合适的晶粒尺寸为30-60 m。此外，适用于分析TGR中景观格局变化的指标包括类别面积（CA），斑块数（NP），最大斑块指数（LPI），景观形状指数（LSI），有效网格尺寸（MESH）和补丁密度（PD）。三峡水库景观格局变化的主要原因是土地整理工程，退耕还林工程，自然保护区建设，水电站建设和城市化发展。