###### Abstract
Studies have shown that in the past 300 years, the wetland area in Europe, the United States, and China has been reduced by half, and some countries, such as the United Kingdom, Ireland, and Germany, have a wetland loss rate of more than 75%. The total loss area of global wetlands is equivalent to the land area of India [12]. With the increasing importance of wetland ecological functions, countries around the world have gradually increased their emphasis on wetland protection. Ecological restoration has become one of the key measures for wetland protection and has gradually become a hot research field [13]. The assessment of wetland ecological quality changes and their driving factors is crucial for wetland protection and sustainable management. [PERSON] et al. [14] believe that it is necessary to integrate the knowledge of different components and select appropriate physical, chemical, and biological indicators when assessing the status of ecosystems. [PERSON] et al. [15] assessed the health status of river ecosystems in the Haihe River Basin, China, using physical, chemical, nutritional, and macroinvertebrate indicators. [PERSON] et al. [16] evaluated the ecological health of wetlands in the Beijing-Tianjin-Hebei region by selecting integrated comprehensive indicators, including water, soil, biology, landscape, and social factors. [PERSON] et al. [17] evaluated the ecosystem value and sustainability of the Liaohe Estuary Wetland by using energy analysis and energy indicators. Based on the energy analysis of the LEW environment and economic system, some suggestions are provided for its sustainable development. However, these studies primarily focused on local or regional scales [18; 19; 20], or specific ecosystem types and characteristics [21; 22; 23], leaving a gap in comprehensive evaluations at the national scale. With the rapid development of remote sensing technology and geographic information systems [24; 25], satellite remote sensing is widely used in monitoring interventions in large-scale and remote areas [26]. Studies have shown that the application of remote sensing technology in environmental research can provide accurate and reliable results at a lower cost and in a shorter time [27]. For wetland that has been repaired, the combination of long-term monitoring and comprehensive data analysis is usually used to scientifically evaluate the ecological effects and functional recovery of the restoration [28]. The normalized difference vegetation index (NDVI) can reflect the growth of vegetation. It is considered to be the best indicator for evaluating vegetation coverage and monitoring the ecological environment. It plays a critical role in assessing the impact of full closure on ecology [29; 30]. In the Ebinur Lake basin, the quantitative evaluation of vegetation dynamics is used to analyze the evolution of drought, the changes in lake surface area, and the sustainable changes in vegetation, and then characterize the dynamic changes to the surface [31]. In the study of wetland vegetation change monitoring in the Qinghai-Tibet Plateau, scholars used the BFAST (breaks for additive seasonal and trend) algorithm to detect abrupt changes in the NDVI, and discussed the NDVI changes in dynamic wetland and their correlation with temperature, precipitation, and solar radiation for the first time [32]. In the study of wetland vegetation change and migratory bird distribution in Poyang Lake, scholars obtained the correlation coefficient between NDVI time series and different types of migratory birds by comparing and analyzing the spatial and temporal variation trend of NDVI time series and the distribution of wetland migratory birds from 1999 to 2009 [33]. Satellite remote sensing technology provides important support for vegetation growth monitoring and climate and anthropogenic change assessment by virtue of the advantages of multi-scale data.