Ocean Color-based Plant species identification and Carbon flux in the Indo-Pacific oceans: A Study Group (IMBeR OC-PC)

Work Program (2022-2032)

1. Develop algorithms to quantify carbon fluxes mediated by marine biosphere

       for plant species identification for the Indo-Pacific Ocean basins*

    •  for chromophoric dissolved organic carbon (matter) in each basin

    •  for plant pigments / particulate organic carbon in each basin

    •  for suspended inorganic particulate matter in each basin

    •  Modeling carbon flux in each basin*

2. Synthesis for the East Indian and the West Pacific Ocean

    •  Generate distribution maps for each basin*

3. Training session – one session a year

*GOCI-II full Disk areas: The Eastern Indian Ocean (Bay of Bengal, Mid Indian Basin, West Australian Basin) and the west Pacific Ocean (Northwest Pacific Basin, Central Pacific Basin, Philippine Sea, West Mariana Basin, East Mariana Basin, West Caroline Basin, East Caroline Basin, Tasman Sea, Southwest Pacific Basin)

Latest News

    •  IMBeR OC-PC Study Group Brief Overview on Ocean Color Sensors and Their Data Access Released

    •  IMBeR OC-PC presented at “Colour and Light in the Ocean from Earth Observation” Session at the ESA’s 2022 Living Planet Symposium (23-27 May 2022, Bonn, Germany)

    •  IMBeR OC-PC Activity Funded by the ESA-Future Earth Joint Program in 2023 - Online workshops, trainee mentoring and digital ‘demonstration tools’ for stakeholders: ‘Expanding EO data usage to address climatic changes in the marine biosphere of the northwest Pacific and Indo-Pacific regional seas’

Contact Us

For any query concerning membership or partnership, please do not hesitate to contact the IMBeR IPO-China (imber@ecnu.edu.cn)


Ocean Color Sensors and Their Data Access: A Brief Overview (Version #2)

Ocean Color Sensors and Their Data Access: A Brief Overview

Xu Yi, Ying Wu, Peng Xiu, Jianzhong Ge, and Jing Zhang. Unravelling environmental drivers of chlorophyll seasonal and interannual variability in the East China Sea. Frontiers in Marine Science: 1665. https://doi.org/10.3389/fmars.2022.9513

Jie Liu, Peng Li, Canran Tu, HoujieWang, Zhiwei Zhou, Zhixuan Feng, Fang Shen and Zhenhong Li. (2022). Spatiotemporal Change Detection of Coastal Wetlands Using Multi-Band SAR Coherence and Synergetic Classification. Remote Sensing 14, no. 11 (2022): 2610. https://doi.org/10.3390/rs14112610

Xuerong Sun, Fang Shen*, Robert J.W. Brewin, Mengyu Li, Qing Zhu. Light absorption spectra of naturally mixed phytoplankton assemblages for retrieval of phytoplankton group composition in coastal oceans. Limnology and Oceanography 67, no. 4 (2022): 946-961. https://doi.org/10.1002/lno.12047

Fang Shen, Haiyang Zhao, Qing Zhu, Xuerong Sun, Yinnian Liu. Chinese Hyperspectral Satellite Mission and Preliminary Applications of Aquatic Environment. IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Brussels, Belgium, 2021: 1233-1236, doi: 10.1109/IGARSS47720.2021.9553479.


GOCI-II data

ESA climate office

ESA climate from Space

(for non-specialist audience)


Young-Je Park


Fang Shen



GiHoon Hong




Yan Bai


Bob Brewin

Univ. of Exeter

Joji Ishizaka

ISEE, Nagoya Univ.

Mati Kahru


Shaoling Shang

Xiamen Univ.

Yi Xu