Smart Monitoring of Marine Ecosystems

Establishing a new deep-sea observation station with smart robotics for habitat restoration monitoring and fisheries assessment

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Referència del projecte: PID2024-155344OB-C32
Data d’inici: 01/09/2025
Data de finalització: 31/08/2029

Consortium:

Smart monitoring for deep-sea ecosystems

SMART-ME (Smart Monitoring of Marine Ecosystems) is a research project focused on addressing societal challenges in marine science, management and technology, with particular attention to food, bioeconomy, natural resources and climate. The project addresses the technological challenges involved in creating deep-sea observatories in sentinel areas, providing new ways to collect and process data to monitor the recovery of deep continental margins.

The project addresses the technological challenges involved in creating deep-sea observatories in sentinel areas, providing new ways to collect and process data to monitor the recovery of deep continental margins.

The North-Western Mediterranean

SMART-ME proposes two complementary observatories in the North-Western Mediterranean: OBSEA-TECH, a nearshore site for testing and validating new technologies, and OBSEA-DEEP, a permanent deep-sea station for long-term ecosystem observation.

This region has high benthic biodiversity and habitats that are vulnerable to anthropogenic pressures. Warming waters are affecting the entire water column, shifting the distribution of commercial species such as deep-water rose shrimp and Norway lobster, with consequences for local fisheries and the economy.

OBSEA-DEEP will support continuous monitoring of ecosystems and their recovery, helping assess habitat resilience and inform the sustainable management of fisheries resources. OBSEA-TECH will mature and validate the technologies that make this long-term monitoring more efficient, reliable and scalable.

OBSEA-TECH: a testbed for marine technology

Located in the Bol de Tossa no-take zone, at around 70 metres depth, OBSEA-TECH will provide a controlled real-world environment in which SMART-ME technologies can be tested, refined and validated.

It will be used to increase the readiness of smart robotic systems, including autonomous vehicles, dynamic landers, sensors, acoustic communications and data-processing tools. Once proven reliable, these technologies will be transferred to the deep-sea observatory for long-term operation.

OBSEA-DEEP: A new deep-sea observation station

OBSEA-DEEP will be established in the Palamós Cigala no-take zone, at 350-400 metres depth and around 20 nautical miles offshore. It will enable observation well beyond divers’ reach, using a network of fixed and mobile platforms to collect ecological and environmental data over long time periods.

The station will monitor habitat recovery and resilience, with particular attention to the recovery of Norway lobsterand the sustainable management of fisheries resources.

SMART-ME at a glance

SP1 - Deep-Sea Observatory for Permanent Data Acquisition

Institut de Ciències del Mar (ICM-CSIC)
Project coordination | Budget: €235,000

SMART-ME-ECOFISH

This subproject develops the robotic technologies required to extend ecological monitoring capabilities.

SP2 - Smart Robotics for Ecosystem Monitoring

University of Girona – CIRS
Budget: €200,000

SMART-ME-TECH

This subproject develops the robotic technologies required to extend ecological monitoring capabilities.

SP3 - Advanced Network of Autonomous Nodes

Universitat Politècnica de Catalunya – SARTI
Budget: €231,250

SMART-ME-NET

This subproject develops the technological infrastructure required to establish a cooperative network of autonomous underwater observation platforms.

Advanced Marine Technologies

Autonomous Robotic Systems

  • side-scan sonar for seabed mapping;
  • high-resolution cameras with laser measurement systems;
  • Sensors for environmental monitoring;
  • machine-learning-based control of the UVMS using reinforcement and imitation learning;
  • intervention capabilities allowing autonomous data retrieval and relocation of underwater stations.

Artificial Intelligence

  • in situ edge processing of underwater imagery;
  • automatic identification and classification of benthic species;
  • integration of biological, oceanographic, and geochemical datasets;
  • generation of ecological indicators to assess habitat restoration and support ecosystem-based fisheries management.

Intelligent Underwater Stations

  • variable buoyancy systems;
  • optical cameras;
  • acoustic monitoring devices;
  • environmental sensors measuring temperature, salinity, pressure, oxygen, pH, and chlorophyll;
  • optical and acoustic communication systems;
  • docking interfaces allowing autonomous interaction with underwater vehicles.

Underwater Communication Network

  • acoustic communications;
  • optical communications;
  • pop-up buoys capable of surfacing periodically to transmit data via satellite;
  • communication with vessels of opportunity and surface platforms for data relay.

News & Events

Categories: News, Media Coverage, Conferences & Workshops

Contributing to global and European goals

UN Sustainable Development Goal 14

EU Nature Restoration Regulation

Example Use Case

One envisioned application of LEMURS is the autonomous deployment of underwater sensor networks. An intervention AUV can detect, grasp, transport, and precisely place hydrophones on the seabed, forming optimal monitoring grids without the need for human intervention or large vessels.