Abstract: The analysis of long-term time series data helps us to understand the nature of things better. However, more financial and human resource are required when the traditional means are used to obtain long-term time series data. Google Earth Engine platform provides an opportunity for acquisition and processing long-term time series data. In view of this, Landsat images from 1987 to 2017 were downloaded and processed based on Google Earth Engine platform, and the images with annual maximum value of NDVI and NDWI were obtained by means of maximum value composite. In addition, the landscape types of Baiyangdian Wetland ecosystem were classified using NDVI dataset and NDWI dataset, and the landscape evolution characteristics of Baiyangdian Wetland ecosystem over the past 30 years were studied by means of landscape ecology. The study of Baiyangdian Wetland ecosystem showed the feasibility and superiority of Google Earth Engine platform.