MATS 2022 held 6-10 November 2022, is a key event in the marine technology calendar, attracting delegates from around the world. MATS 2022 features a three-day programme of exhibits, presentations, panel discussions and networking, which offer a valuable opportunity to find out about the latest developments in marine autonomous technology and how this field is set to develop in the years to come. MATS themes this year:
- Sustainability and Net Zero Capability
- Users & Applications
- Data Collection and Information Generation
- Planning & Control
- Autonomous platforms and supporting technology
As ever, the event welcomes a broad roster of speakers from across industry, academia, and government organisations. Each day of the showcase sees leading figures from the world of marine autonomy and technology take to the virtual stage to present on innovative and disruptive technologies, as well as highlighting current developments and future priorities and challenges.
Chelsea at MATS 2022
Chelsea Technologies will be there, including a presentation by Kevin Oxborough, internationally published author on STAF technologies. Kevin will be examining how Chelsea’s STAF technology roadmap is set to revolutionise monitoring of primary productivity on wide spatial and temporal scales.
Primary productivity by phytoplankton (PhytoPP) accounts for approximately half of the carbon fixed by photosynthesis on a planetary scale. It follows that measurement of PhytoPP on wide spatial and temporal scales has enormous potential for developing our understanding of ocean productivity and verifying climate change models.
While satellite remote sensing operates on the widest possible spatial scales for evaluation, it includes large errors for the estimation of PhytoPP. Historically, validation of satellite data has relied on photosynthetron-based measurement of 14C-fixation over several hours. Because this method cannot be applied on meaningful spatial and temporal scales, there is currently extreme undersampling of the oceanic environment for PhytoPP at acceptable levels of accuracy. A key target for the STAFES-APP project was to develop new, STAF-based methods for the assessment of PhytoPP that can be used on much wider spatial and temporal scales than 14C-fixation, at comparable levels of accuracy and precision.