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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
liat6/3/2023 11:08:26

Dr Lauren Biermann

Marine Remote Sensing Scientist
lbi6/3/2023 11:08:26

Dr Andrei Chuprin

ach6/3/2023 11:08:26

Professor Steve Groom

Head of Science - Earth Observation
sbg6/3/2023 11:08:26

James Harding

AI/Machine Learning Data Scientist
jha6/3/2023 11:08:26

Dr Thomas Jackson

Remote Sensing and Ocean Optics Scientist
thja6/3/2023 11:08:26

Dr Bror Jonsson

Senior scientist
brj6/3/2023 11:08:26

Dr Thomas Jordan

Earth Observation Scientist
tjor6/3/2023 11:08:26

Dr Gemma Kulk

Phytoplankton physiologist
gku6/3/2023 11:08:26

Dr Andrey Kurekin

Marine Earth Observation Scientist
anku6/3/2023 11:08:26

Dr Peter Land

Remote Sensing Scientist
peland6/3/2023 11:08:26

Dr Angus Laurenson

Scientific Python Guru
anla6/3/2023 11:08:26

Dr Junfang Lin

Earth Observation Scientist
junl6/3/2023 11:08:26

Dr Xiaohan Liu

Earth Observation Scientist
liux6/3/2023 11:08:26

Dr Victor Martinez-Vicente

Bio-optical oceanographer
vmv6/3/2023 11:08:26

Dr Peter Miller

Marine Earth Observation Scientist
pim6/3/2023 11:08:26

Dr David Moffat

Artificial Intelligence and Machine Learning Data Scientist
dmof6/3/2023 11:08:26

Silvia Pardo

Earth Observation Scientist
spa6/3/2023 11:08:26

Paula Pereira

Research intern
ppe6/3/2023 11:08:26

Dr Graham Quartly

Physical oceanographer (Remote sensing)
gqu6/3/2023 11:08:26

Dr Shubha Sathyendranath

Merit Remote Sensing Scientist
ssat6/3/2023 11:08:26

Dr Nick Selmes

Earth Observation Scientist
nse6/3/2023 11:08:26

Professor Stefan Simis

Earth Observation Scientist (inland/coastal waters)
stsi6/3/2023 11:08:26

Emma Sullivan

Earth Observation Scientist
emsu6/3/2023 11:08:26

Dr Gavin H Tilstone

Bio-optical oceanographer
ghti6/3/2023 11:08:26

Dr Mark Warren

Remote sensing scientist
mark16/3/2023 11:08:26