You can view the introductory presentation about the project here
The 2-year project, funded by the European Space Agency (ESA) will advance our ability to understand, monitor and predict the health of the ocean.
Mitho will assess the cumulative impact of multiple climate and anthropogenic stressors on key ecosystem services – biodiversity, phytoplankton biomass, macroalgae biomass, zooplankton biomass, fish biomass, food provisioning and coastal protection, spanning at different temporal scales, and advance our ability to understand, monitor and predict the health of the ocean. Blending Earth Observation (EO) remote sensing data with in-situ measurements and numerical model outputs, through ML techniques MiTHo will reconstruct dissolved O2 vertical profiles and provide novel EO-based avenues to monitor deoxygenation and from space.
It will develop innovative EO-based multisstressor cumulative hazard indexes, by exploiting the latest Earth Observation (EO)-based products achieved within the ESA Ocean Science cluster projects.
Working together to further our understanding
The ESA Ocean Science Cluster aims to enhance collaborative research and networking; bringing together expertise, data and resources to exploit all available observing systems (EO satellite data, in-situ and citizen observations, advanced modelling capabilities, interdisciplinary research and new technologies.
The cluster currently features 32 projects, a number of which will be utilised by Mitho:
- BiCOME – Biodiversity of the Coastal Ocean: Monitoring with Earth Observation
- BOOMS – Biodiversity in the Open Ocean, Mapping, Monitoring and Modelling
- CAREHeat – deteCtion and threAts of maRinE Heat waves
- EO4SIBS – Earth Observation data For Science and Innovation in the Black Sea
- OceanSODA – Satellite Oceanographic Datasets for Acidification
- MAXSS – Marine Atmosphere eXtreme Satellite Synergy
- OceanSODA – Satellite Oceanographic Datasets for Acidification
- PHYSIOGLOB – Assessing the inter-annual physiological response of phytoplankton to global warming using long-term satellite observations
- Sargassum
- SOON
