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About

Paul Martinolich is a remote sensing scientist at the Naval Research Laboratory (NRL) whose work centers on ocean color satellite calibration, validation, and atmospheric correction. His research has made meaningful contributions to the accuracy and reliability of satellite-derived bio-optical products used to study coastal and open ocean environments. Martinolich is perhaps best known for developing and advancing SAVANT (Satellite Validation Navy Tool), an automated system designed to assess the stability and accuracy of ocean color satellites using global in situ platforms — work that has accumulated citations across multiple publications from 2019 to 2021. His comparative analyses of sensors such as GOCI and VIIRS have helped establish robust match-up protocols between satellite observations and ground truth data, supporting both civilian and naval oceanographic applications. More recently, Martinolich has pushed into emerging territory with machine-learning-based atmospheric correction methods for commercial nanosatellites, addressing the challenge that small satellites often lack the wavelength configurations needed for traditional correction approaches. His 2023 publications on Planet nanosatellites reflect a forward-looking effort to integrate high-resolution commercial imagery into validated ocean color workflows. Across his career, his work collectively underscores a commitment to rigorous, operationally relevant satellite oceanography.