Environmental Satellite GEMS and the Ultrafine Dust Problem
With the growing importance of air quality management in recent years, there has been a growing need for accurate measurement of air pollutants such as ultrafine dust. The Geostationary Environment Monitoring Spectrometer (GEMS), an environmental satellite developed by the National Institute of Environmental Research, plays a crucial role in providing this air quality information. However, there are regions that this satellite cannot observe due to clouds or severe weather conditions, resulting in gaps in air pollution data. In this context, AI technology offers a new turning point. By using AI to predict and supplement air quality data from cloud-obscured areas, more accurate and real-time air pollution monitoring becomes possible.
AI-based ultrafine dust estimation technology opens up the possibility of providing continuous, gap-free data by combining AI algorithms with existing satellite imagery. In particular, Real-time Air Quality (RAG)-based monitoring systems provide users with reliable information through advanced data analysis. This can be utilized effectively not only by the government and public institutions but also by the general public.
AI and Edge Computing: A Combination of Innovation
AI is bringing about innovative changes that go beyond mere data analysis, combining with edge computing to process and deliver information in real time. By processing data immediately close to where it is generated, edge computing minimizes latency and enables real-time response. This technology is also applied to the environmental satellite GEMS to help ensure the timely provision of accurate information.
RAG-based algorithms underpin the ability of AI to penetrate clouds and observe ultrafine dust. These algorithms are designed to continuously predict air quality data under various weather conditions; for instance, they detect anomalies by taking cloud cover into account, even on rainy days. As such, onboard AI, a cutting-edge IT trend, will continue to evolve and be utilized in a wider range of fields.
The Importance of Real-Time Air Pollution Monitoring
Real-time air pollution monitoring is crucial, especially in urban areas. Since fine dust tends to accumulate in cities due to increased industrial activity and traffic, it is necessary to detect and respond to it early. Thanks to AI-based technology, we can now check real-time air quality information anytime and anywhere.
A system combining GEMS satellites and AI can be utilized in various industrial sectors. For example, in agriculture, it can enable immediate responses to changes in air quality that affect crop growth, and in healthcare, it can facilitate preventive measures by providing useful information to patients with respiratory diseases.
These changes are expected to accelerate further by 2026 and will serve as a key factor in strengthening competitiveness in the environmental information market.
