With the continuous development of remote sensing technology, the capabilities and applications of geostationary meteorological satellites are gradually expanding. They play an extremely important role in monitoring climate change, promoting the formulation of environmental protection policies, and reducing the damage caused by natural disasters. This study investigates the current state and emerging trends in geostationary meteorological satellite research. It systematically reviews the development history of these satellites across various countries and performs a comparative analysis of their status over different periods. Through bibliometric methods, the research reveals the knowledge structure of the field and forecasts future trends. Key findings indicate that geostationary satellites have evolved through three generations, improving from spin stabilization to three-axis stabilization and transitioning from single payloads to multiple instruments. Since 1990, significant growth in publications and citations has been observed, especially from the United States and China, reflecting increased global cooperation. Co-citation analysis identified nineteen clusters, with machine learning emerging as a prominent focus. Over 65 years, research has shifted from theoretical analysis to integrating Artificial Intelligence (AI) technologies, with leading regions transitioning from the United States and the European Union to China. The study suggests four critical directions for future exploration: leveraging AI, enhancing weather analysis capabilities, utilizing multi-satellite data, and exploring ecological monitoring applications. This study offers valuable insights for researchers and policymakers, providing a comprehensive overview of the field’s development and future prospects.
Yin et al. (Sun,) studied this question.
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