POSTER Session 1

Advances in Oceanic Lidar Remote Sensing Technologies for Ocean Ecology and Carbon Cycle in SIO

Traditional satellite ocean color remote sensing techniques face significant limitations, including the inability to capture the vertical structure information of oceanic color parameters and the challenges of conducting observations at night and in polar regions. These constraints, however, can be effectively addressed through the advent of new active ocean LiDAR technology. Oceanic LiDAR systems boast enhanced depth resolution and the capability to continuously monitor the vertical structure of phytoplankton across global and polar waters, both day and night. This breakthrough is poised to spark a transformative shift in satellite ocean remote sensing. In this study, we will introduce advances in oceanic LiDAR remote sensing technologies for ocean ecology and the carbon cycle, developed at the Second Institute of Oceanography, SIO, Ministry of Natural Resources. We have established an optical multi-modal polarization LiDAR multiple scattering model coupled with remote sensors and complex marine environments (TGRS, 2021a, 2024b) and proposed an iterative energy perturbation method inversion technology without LiDAR ratio (RSE, 2021; TGRS, 2022). At the same time, we have developed a new LiDAR remote sensing method for the diurnal changes of global and polar chlorophyll and sea-air carbon fluxes and produced a satellite remote sensing product spanning 20 years (RSE, 2023; ISPRS, 2024; PNAS NEXUS, 2024).

Peng Chen, Second Institute of Oceanography, Ministry of Natural Resources, China, https://orcid.org/0000-0002-0635-9220

Delu Pan, Second Institute of Oceanography, Ministry of Natural Resources, China

Siqi Zhang, Second Institute of Oceanography, Ministry of Natural Resources, China

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