Dr. Huizeng Liu Profile

Dr. Huizeng Liu

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Proceedings Article | 20 January 2023 Paper

Estimating particulate organic nitrogen concentrations in the surface ocean from ocean color remote sensing data

Yongquan Wang, Huizeng Liu, Guofeng Wu

Proceedings Volume 12561, 1256106 (2023) https://doi.org/10.1117/12.2651527

KEYWORDS: Data modeling, Performance modeling, Nitrogen, Satellites, Remote sensing, MODIS, Coastal modeling, Optical properties, Ocean optics, Natural surfaces

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Particulate organic nitrogen (PON) refers to the nitrogen contained in biological or other debris particles, and it plays important roles in the ecosystem functions and biogeochemical processes of the marine biology. This study aimed to explore the feasibility of retrieving oceanic PON concentration from ocean color remote sensing data, determine the bio-optical proxy for satellite PON retrieval, and develop satellite oceanic PON retrieval models for the global ocean. In situ PON data collected over the global ocean and MODerate-resolution Imaging Spectroradiometer (MODIS) Aqua Level-3 products were used. Three different types of models were tested: 1) apparent optical properties (AOPs)-based models, 2) inherent optical properties (IOPs)-based models, and 3) biological properties-based models. Results indicated that ocean color remote sensing could be used for oceanic PON concentration retrieval in the global ocean, and AOPs-based models calibrated produced better fitting performance than the other two types. In further studies, PON models will be used to produce the global ocean PON concentration products, and explore oceanic PON spatiotemporal variations and the underlying driving forces.

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