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Science Group

Earth Observation Science & Applications

Improving the understanding and management of the ocean through the development and application of cutting-edge Earth Observation (EO) techniques and the pioneering of digital innovations in areas such as artifical intelligence (AI) and machine learning. 

At a time when the sustainability of the ocean is under increasing threats from unprecedented and rapid changes, the ‘Earth Observation Science & Applications’ group is committed to harnessing new ways to monitor and evidence the changes and impacts taking place. 

Building on PML's world-class expertise in satellite-based ocean colour remote-sensing and in-situ marine monitoring, this includes:
  • driving innovations in marine science, exploiting past, existing and new generation Earth Observation (EO) data.
  • exploiting the opportunities afforded by machine learning and artificial intelligence (AI) to address key environmental and societal questions
  • improving the synergy between in-situ, airborne and satellite observations to provide cost-effective monitoring of a variety of parameters (e.g. water quality, harmful algal blooms and eutrophication) 
  • harnessing the capabilities of the latest Sentinel mission products, open-source tools and novel autonomous in-situ technologies. 
The group's areas of focus include the ocean carbon cycle; phytoplankton dynamics, community structure and function, harmful algal bloom (HAB) detection, fisheries and aquaculture, coastal and inland water quality,  links between ecosystem health and human health, and data-driven decision making.

The group also leads research into, and the production of, climate data records in ocean colour, sea-surface height, sea state, and lake-water colour, with a view to assessing the status of our oceans for policy-making. 


PML Project pages

Latest publications

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People who work in this area of research

Dr Elizabeth C. Atwood

Earth Observation Data Analyst
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Dr Andrei Chuprin

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Professor Steve Groom

Head of Science - Earth Observation
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James Harding

AI/Machine Learning Data Scientist
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Dr Bror Jonsson

Senior scientist
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Dr Thomas Jordan

Earth Observation Scientist
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Dr Gemma Kulk

Phytoplankton physiologist
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Dr Andrey Kurekin

Marine Earth Observation Scientist
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Dr Peter Land

Remote Sensing Scientist
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Dr Angus Laurenson

Scientific Python Guru
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Dr Junfang Lin

Earth Observation Scientist
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Dr Xiaohan Liu

Earth Observation Scientist
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Dr Victor Martinez-Vicente

Bio-optical oceanographer
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Dr Peter Miller

Marine Earth Observation Scientist
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Dr David Moffat

Artificial Intelligence and Machine Learning Data Scientist
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Silvia Pardo

Earth Observation Scientist
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Paula Pereira

Research intern
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Dr Graham Quartly

Physical oceanographer (Remote sensing)
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Dr Shubha Sathyendranath

Merit Remote Sensing Scientist
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Dr Nick Selmes

Earth Observation Scientist
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Dr Dhritiraj Sengupta

Physical Geographer and Earth Observation Scientist
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Professor Stefan Simis

Earth Observation Scientist (inland/coastal waters)
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Emma Sullivan

Earth Observation Scientist
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Dr Gavin H Tilstone

Bio-optical oceanographer
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Dr Mark Warren

Remote sensing scientist
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