Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
|
Session Overview |
| Date: Monday, 24/Nov/2025 | |
| 9:00am - 9:30am |
Welcome by ESA, NASA and EC Virtual location: On-line |
| 9:30am - 9:50am |
Introduction ‘Ocean Carbon from Space’ by Gemma Kulk Virtual location: On-line |
| 9:50am - 10:25am |
Theme 1: Improving observations through algorithm development and validation Virtual location: On-line An Optical Sensor for Autonomous Detection of Particulate Inorganic Carbon (PIC) Concentration in Seawater 1: MarSens Research Group, Biology Department, Ghent University, Belgium; 2: DRDC Valcartier Research Centre, Canada; 3: LCP group, ELIS Department, Ghent University, Belgium; 4: BCCM/DCG, Biology Department, Ghent University, Belgium; 5: Sequoia Scientific, USA; 6: Florida Atlantic University, USA; 7: Flanders Marine Institute, Belgium INTEGRATED AUTONOMOUS MONITORING OF CARBONATE CHEMISTRY, MARINE REFLECTANCE, AND BIO-OPTICS DURING SHIP TRANSIT MarSens, Belgium |
| 10:25am - 10:40am |
Coffee Break |
| 10:40am - 11:10am |
Theme 1: Improving observations through algorithm development and validation - continued Virtual location: On-line Assessing satellite estimates of particle backscatter in the Mediterranean Sea using the first array of Biogeochemical-SVP Lagrangian drifters 1: ISMAR CNR, Italy; 2: University of Exeter, UK; 3: Lagrangian Drifter Laboratory, Scripps Institution of Oceanography, University of California, San Diego, La Jolla, California Bridging the gap between surface and subsurface optical estimates of particulate organic carbon concentration: Evaluating multivariable algorithms for global satellite ocean color and BGC-Argo applications 1: University of Bergen, Norway; 2: Scripps Institution of Oceanography, University of California San Diego, USA |
| 11:10am - 12:10pm |
Poster session 1 Carbon from earth Observation between Ocean and Land (COOL) 1: Plymouth Marine Laboratory, Plymouth, UK; 2: National Centre for Earth Observation, Plymouth Marine Laboratory, Plymouth, UK; 3: Estonian Marine Institute, University of Tartu, Tallinn, Estonia; 4: Instituto de Investigaciones Marinas, CSIC, C/ Eduardo Cabello, Vigo, Spain; 5: European Space Research Institute - ESRIN, ESA, Frascati, Italy; 6: Telespazio-Vega for European Space Agency, Frascati, Italy Optimizing Lagrangian drifter deployment for ocean color validation coupling kinematical models, remote sensing, and in situ data 1: Institute of Marine Science, National Research Council of Italy, Rome, Italy; 2: Lagrangian Drifter Laboratory, Scripps Institution of Oceanography, University of California, San Diego, La Jolla, California Improving validation of satellite particle backscatter estimates to support climate research: the INSPIRE project 1: CNR-ISMAR, Rome, Italy; 2: Lagrangian Drifter Laboratory, Scripps Institution of Oceanography, University of California, San Diego, La Jolla, California, USA; 3: CNR-ISMAR, Triete, Italy Towards an Explainable AI Framework for Quantifying Air-Sea CO₂ Fluxes: Multi-Sensor Satellite Data Fusion with Knowledge Graph Representation 1: University of Macedonia, Greece; 2: International Hellenic University, Greece An algorithm for a global assessment of coastal dissolved organic carbon 1: Estonian Marine Institute, University of Tartu, Estonia; 2: Earth Observation Science & Applications, Plymouth Marine Laboratory, Plymouth, United Kingdom; 3: National Centre of Earth Observation, Plymouth Marine Laboratory, Plymouth, United Kingdom Understanding Light and Carbon Interactions for Aquatic Productivity in Western Coast of Bangladesh Bangladesh Maritime University, Bangladesh, People's Republic of Regionalized Algorithms for Phytoplankton Functional Type Estimation in Optically Complex Seas: Applications in the Baltic and Black Seas European Commission, Joint Research Centre, Italy Dynamics of Dissolved Organic Carbon in the Yangtze River Estuary by a decadal Sentinel-3/OLCI observations East China Normal University, China, People's Republic of Seasonal variability in the bio-optical properties of the central Iceland Basin: implications for the regional modelling of primary production University of Oxford, United Kingdom Evaluating ocean colour algorithms for phytoplankton carbon retrieval through intercomparison 1: University of Reading, United Kingdom; 2: Plymouth Marine Laboratory; 3: California State University San Marcos; 4: National Research Council Institute of Marine Sciences Retrieval of Particulate Inorganic Carbon in the North Sea with the MTG/FCI geostationary sensor 1: Marine Optics and Remote Sensing (MarSens) research group, Ghent University, Ghent, Belgium; 2: Liquid Crystals and Photonics (LCP) research group, Ghent University, Ghent, Belgium; 3: Operational Directorate Natural Environment, Royal Belgian Institute of Natural Sciences, Brussels, Belgium; 4: Flanders Marine Institute (VLIZ), Ostend, Belgium |
| 12:10pm - 4:00pm |
Lunch break |
| 4:00pm - 4:30pm |
Keynote 1 Virtual location: On-line |
| 4:30pm - 5:20pm |
Theme 1: Improving observations through algorithm development and validation - continued Virtual location: On-line The Hyperspectral Bio-Optical Observations Sailing on Tara (HyperBOOST) dataset 1: Plymouth Marine Laboratory, United Kingdom; 2: CNR-ISMAR, Rome, Italy; 3: EMBL, Rome, Italy; 4: LOV, Villefranche-sur-mer, France; 5: CNR-IBF, Pisa, Italy; 6: UMaine, Orono, ME,USA; 7: ESA ESRIN, Frascati, Italy; 8: 8CNRS & Sorbonne Université, Station Biologique de Roscoff, Roscoff, France Monitoring DOC biogeochemistry in complex coastal waters using hyperspectral ocean color algorithms The City College of New York, New York, NY, United States of America Estimating Net Community Production from Hyperspectral Remote Sensing Reflectance: A Neural Network based approach in the South Atlantic Bight University of Georgia, United States of America |
| 5:20pm - 5:35pm |
Coffee Break |
| 5:35pm - 6:20pm |
Theme 1: Improving observations through algorithm development and validation - continued Virtual location: On-line Overcoming Data Sparsity in Ocean Carbon Monitoring: A GeoFoundation Model Approach for Enhanced Primary Production Estimation 1: Plymouth Marine Laboratory, United Kingdom; 2: IBM Research Europe; 3: University of Exeter, United Kingdom; 4: STFC Hartree Centre, United Kingdom An absorption-based model with dynamic Biomes for improving satellite estimates of global Ocean Net Primary Production for Carbon Cycling and Climate Change studies 1: Lamont Doherty Earth Observatory at Columbia University, United States of America; 2: Lamont Doherty Earth Observatory at Columbia University, United States of America; 3: State Key Lab of Marine Environmental Science, College of Earth and Ocean Sciences, Xiamen University, Xiamen, China; 4: Lamont Doherty Earth Observatory at Columbia University, United States of America; 5: NOAA/NESDIS Center for Satellite Applications and Research, College Park, MD, USA; 6: Earth Observation Science and Applications, Plymouth Marine Laboratory, Plymouth, UK; 7: Department of Earth Sciences, University of Oxford, Oxford, UK; 8: NOAA/NESDIS Center for Satellite Applications and Research, College Park, MD, USA; 9: NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA Retrieval of Mesozooplankton Carbon Biomass and DVM via the PSD: Implications of the PSD Slope 1: Dept. of Environemnt and Geography, California State University San Marcos, CA, USA; 2: Dept. of Biology, California State University San Marcos, CA, USA; 3: National Institute of Aquatic Resources, Denmark; 4: Moss Landing Marine Laboratories, Moss Landing, CA, USA; 5: School of Engineering, Brown University, Providence, RI, USA; 6: Dept. of Botany and Plant Pathology, Oregon State University, Corvallis, OR, USA |
| 6:20pm - 6:55pm |
Discussion – Theme 1: Improving observations through algorithm development and validation Virtual location: On-line |
| 6:55pm - 7:00pm |
Day 1 Wrap-up Virtual location: On-line |