Japan
Sagami Bay
Kanagawa, Japan
Understanding aquatic ecosystems using remote sensing & AI
We monitor coastal and inland waters by connecting in situ observations, remote sensing, and artificial intelligence—turning complex aquatic data into knowledge for science and sustainable management.
From observation to insight
Monitoring coastal and inland waters using in-situ, satellite observations, and AI modelling to understand aquatic change.
Regional observatories
Ethiopia
Lake Tana
Amhara Region, Ethiopia
In developmentMalaysia
Mengalum Island
Sabah, Malaysia
In developmentJapan
Lake Biwa (Japan)
Shiga, Japan
Statistical analysis and AI Modeling
We bring complementary observations and analytical methods together to understand change across seasons, ecosystems, and spatial scales.
01
Satellite validation
We connect satellite products with field measurements to improve confidence, accuracy, and regional relevance.
02
Seasonal & climatological studies
Long-term in situ observations reveal seasonal cycles, variability, trends, and ecosystem response to change.
03
AI modelling
Machine learning combines diverse observations to retrieve water properties, identify patterns, and support prediction.
Bio-optical intelligence
What we observe in the water
Our research connects optical properties to reveal water condition, ecosystem response, and long-term change.
Bio-optics & IOPs
Inherent optical properties that connect water constituents to the light measured in situ and from space.
Phytoplankton communities
Biomass, size classes, and functional types as indicators of ecosystem structure and productivity.
Optical water types
Classification of optically distinct waters for more reliable regional monitoring and interpretation.
Sea surface temperature & climate
Long-term SST records reveal warming trends, marine heatwaves, and their impact on coastal ecosystems and fisheries.
Laboratory of Biological and Optical Oceanography
ROPS is developed alongside the interdisciplinary research of LaBO2. The laboratory advances aquatic bio-optics, phytoplankton ecology, remote sensing, field observation, and artificial intelligence through domestic and international collaboration.
Collaborators
Research and impact are stronger when institutions, disciplines, and regions connect.
Let's build regional knowledge together
We welcome scientists, institutions, data providers, and local partners interested in field campaigns, satellite validation, AI, and aquatic research.