[Progress and Challenges in Remote Sensing Monitoring of Water Quality Parameters in Inland Waters].

Abstract

In recent years， pollution of inland water bodies has become a major problem jeopardizing aquatic ecosystems， water resources， and human health. Accurate and dynamic monitoring of the water quality status of inland water bodies is important for taking the most effective and urgent pollution protection measures. Remote sensing technology is widely used in water quality monitoring of inland water bodies because of its spatial and temporal advantages， which can realize long-term， rapid， and dynamic monitoring of water quality and help to reveal the characteristics of pollutants and pollutant migration that are difficult to detect by conventional methods. However， remote sensing monitoring studies of water quality pose serious challenges in terms of data synchronization， clarity of inversion mechanisms， spatial and temporal limitations of inversion algorithms， robustness of inversion models， and accuracy of atmospheric corrections. Therefore， the evolution patterns and development trends of remote sensing monitoring of inland water quality parameters will be explored by taking data sources， monitoring methods， monitoring indicators， etc.， as breakthrough points. We sort out the frequently used remote sensing data sources and remote sensing water quality monitoring methods， clarify the basic principles and application scenarios of each method， analyze the strengths and weaknesses of each method， and reflect on the opportunities and current challenges. On the basis of the above analysis， we propose that future research on remote sensing monitoring of water quality parameters in inland water bodies should be centered on the refinement of remote sensing data， integration of monitoring platforms， standardization of monitoring techniques， and integration of water quality models. In the future， we should deeply participate in the research and practice in water quality monitoring using remote sensing， accelerate the integration of new technologies and methods， and provide strong scientific support to promote the development of this field.