Jianzhong Lu

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About

Jianzhong Lu is a leading figure in satellite remote sensing for aquatic environments, with a primary focus on advancing atmospheric correction (AC) methodologies. His most influential work, the 2020 paper "Assessment of Landsat atmospheric correction methods for water color applications using global AERONET-OC data," has garnered 35 citations, underscoring its critical role in validating and improving satellite-derived water quality data. Lu’s major contribution lies in systematically evaluating the performance of various AC algorithms for Landsat imagery, which is essential for accurate water color monitoring—a key tool for assessing coastal and inland water health. By leveraging global AERONET-OC validation data, he provided a benchmark that helps researchers and agencies select the most reliable correction methods, directly enhancing the utility of the longest-running satellite archive for environmental studies. His work bridges a crucial gap between satellite technology and practical aquatic science, enabling more precise tracking of algal blooms, sediment plumes, and water clarity changes over time. Lu’s research is foundational for students and scientists working on remote sensing of water quality, offering a rigorous framework for improving data accuracy in this rapidly evolving field.