Affected by many degradation risks such as global climate change and human activities, ecological wetlands, alien species invasion, environmental pollution, coastal erosion, etc., through the rapid development of remote sensing technology and remote sensing data, continuous improvement capabilities can be obtained. Ecological environment analysis is a long-term process, and its quality is based on environmental influences. This article uses a long-term sequence of multi-source remote sensing data, for your own wetland products, time and space gaps, lack of consistency, accuracy is not a problem, but the evolution of a typical estuary wetland ecosystem, new methods, for long-term In the remote sensing mode, we have been performing a series of long-term wetland remote sensing mapping and detecting changes with high quality. On this basis, the long-term evolution process, characteristics and driving mechanism of the structure and function of the wetland ecosystem are further analyzed and investigated. At the same time, a series of processing such as geometric correction, frequency band selection, and research field extraction will be performed on remote sensing images, and the elements selected for monitoring natural ecological restoration will be analyzed. As the realization principle and method of each element. Use binary images to extract the elements of vegetation coverage in remote sensing images. Extract the elements of land use types from remote sensing images according to the most likelihood method. The temperature and humidity of the remote image are extracted from the heat index and humidity index.