Case Study on the Application of Airborne Remote Sensing in Algal Bloom Monitoring

Abstract

Currently, algal blooms pose a significant threat to water ecosystems and human health worldwide. Timely and accurate monitoring and forecasting of algal blooms are essential for maintaining ecological balance in water bodies. Airborne remote sensing (ARS) has emerged as an efficient and rapid method for acquiring large-scale environmental information and has gained attention in the field of algal bloom monitoring. In this study, we analyze the applicability and effectiveness of airborne remote sensing in algal bloom monitoring through four representative cases: Lake Erie, Lake Pinto, Geum River, and Lake Taihu. The results demonstrate that airborne remote sensing offers high temporal and spatial resolution, allows for all-weather observation, and enables rapid response in algal bloom monitoring. However, airborne remote sensing also presents challenges such as high costs and susceptibility to weather conditions. Furthermore, this study proposes future directions for the development of airborne remote sensing. It aims to enhance our understanding of the potential applications of airborne remote sensing technology in algal bloom monitoring, providing valuable insights for further improvements in monitoring techniques and water environment protection.