POSTER SESSION 4
10:30–12:30, Thursday, September 17
Poster Session | 1 | 2 | 3 | 4 | Schedule at a Glance
ABSTRACT 1242 | POSTER 8
EVALUATING MULTI-MISSION OCEAN COLOR OBSERVATIONS AND BIO-OPTICAL DYNAMICS IN SAGAMI BAY, JAPAN
Advancements in ocean color (OC) remote sensing have improved global ocean monitoring, yet significant challenges remain in optically complex coastal ecosystems where phytoplankton, suspended sediments, and colored dissolved organic matter (CDOM) overlap spectrally. High spatial resolution observations are critical in dynamic coastal regions, where sub-mesoscale variability and coastal–open ocean interactions influence optical properties. The Second-generation Global Imager (GCOM-C/SGLI) provides 250 m resolution visible-band observations (380–763 nm), providing enhanced capabilities for fine-scale coastal features. Furthermore, the Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) mission provides unprecedented hyperspectral continuity, enabling the discrimination of complex optical constituents through contiguous spectral sampling. This study evaluates multi-mission OC observations and characterizes optical variability in the temperate coastal waters of Sagami Bay, Japan. Our objectives are to: (1) assess the quality and consistency of satellite-derived remote sensing reflectance (Rrs) from multiple missions using long-term in-situ data, and (2) characterize optical water types and their spatiotemporal dynamics. We analyze Rrs from the GCOM-C/SGLI (2018-2026), PACE (2024-2026), and the merged Ocean Colour Climate Change Initiative (OC-CCI) dataset (1998-2026). These are validated against in-situ radiometric measurements from Station M in Sagami Bay (2016–2025). Our methodology applies rigorous data quality control and cross-sensor harmonization, including spectral consistency assessments and uncertainty characterization. Preliminary results indicate that integrating multi-mission data significantly improves the temporal resolution of coastal monitoring while maintaining OC observational stability. This study establishes a robust validation framework for coastal applications and supports the future prediction of biogeochemical properties and inherent optical properties (IOPs) in Sagami Bay.
Robel Milashu Ashenafi*, Soka University, [email protected], https://orcid.org/0009-0005-2691-9140
Koichi Yano, Graduate School of Science and Engineering, Soka University, [email protected]
Mia Castillo, Soka University, [email protected]
Genki Terauchi, Northwest Pacific Region Environmental Cooperation (NPEC), [email protected]
Shinji Shimode, Yokohama National University, [email protected]
Victor Kuwahara, Soka University, [email protected]
Poster Session | 1 | 2 | 3 | 4 | Schedule at a Glance
