Welcome to the International Ocean Colour Coordinating Group

Promoting the application of remotely-sensed ocean-colour and inland water radiometric data, across all aquatic environments, through coordination, training, liaising between providers and users, and advocacy and provision of expert advice.

The International Ocean-Colour Coordinating Group (IOCCG) is an international Committee of experts with representatives from national space agencies as well as the ocean colour and inland water user communities (research scientists). It was established in 1996 under the auspices of the Intergovernmental Oceanographic Commission of UNESCO, following a resolution endorsed by the Committee on Earth Observation Satellites (CEOS). IOCCG promotes the application of remotely-sensed ocean-colour/inland water radiometry data across all aquatic environments, through coordination, training, liaison between providers (space agencies) and users (scientists), advocacy and provision of expert advice. Objectives include developing consensus and synthesis at the world scale in the subject area of satellite ocean colour radiometry (OCR), establishing specialised scientific working groups to investigate various aspects of ocean-colour technology and its applications, and addressing continuity and consistency of ocean colour radiance datasets through the CEOS OCR-Virtual Constellation. The IOCCG also has a strong interest in capacity building, and conducts and sponsors advanced ocean colour training courses in various countries around the world.

The IOCCG is an Affiliated Programme of the Scientific Committee on Oceanic Research (SCOR) and an Associate Member of CEOS. The activities of the IOCCG are supported by national Space Agencies and other organisations, and upon infrastructure support from SCOR and the Bedford Institute of Oceanography (Department of Fisheries and Oceans, Canada) where the IOCCG Project Office is hosted.

IOCCG Twitter Feed

1 day ago
#Publication Liu et al. (2022) propose a new red tide detection method based on pseudo hue angle (PHA-RI) for high spatial resolution broad band satellite to effectively detects red tides. Read the summary: https://t.co/bJjlLUx2H0

Or the paper: https://t.co/3xMfN2bqDl https://t.co/E8fKqrDW0e
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4 days ago
#Publication Qing et al. (2022) developed an optical water classification and quality control model (OC_QC model) based on globally collected high-quality in situ Kd(λ) data. Read the summary: https://t.co/iebDZnXnco

Or the paper: https://t.co/cLIgDTlWAG https://t.co/1vVbA9EzGp
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8 days ago
#Publication Hu et al (2022) monitored eutrophication of 146 small & medium lakes—usually not included in larger lake assessments—in East China using a trophic state index (TSI) based on Landsat. Read the summary https://t.co/hTOGAUuRSB

Or the paper https://t.co/jsUI5uh70L https://t.co/SV29HiOmcY
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11 days ago
#Publication A freely available dataset of paired optical + biogeochemical properties for diverse environments in Belgium has been described by Castagna et al (2022). Read the summary: https://t.co/YWJWfQaBJP

Or the paper: https://t.co/JwezyEbioc https://t.co/B9ixi3iCti
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15 days ago
#Publication Kolluru and Tiwari (2022) developed a new machine learning model to estimate ocean chlorophyll-a concentrations using 4 common ocean color bands in existing ocean color sensors. Read the summary: https://t.co/Gxoq5uFHAY

or the paper: https://t.co/Ec6ajq9DMZ https://t.co/m5OA7ZoNlD
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