Integrating Remote Sensing Products and Advanced Methodological Models for Resilient Blue Economy: The OCEANIDS Approach

Marinou et al Integrating Remote Sensing Products and Advanced Methodological Models for Resilient Blue Economy: The OCEANIDS Approach EARSeL Manchester 2024 Abstract Corresponding Author: [email protected] Eirini Marinou1, Polychronis Kolokoussis1, Christos Kontopoulos1, Vasiliki Charalampopoulou1 1 Geosystems Hellas SA, Athens, Greece Keywords (5): Earth Observation, Remote Sensing, Coastal regions, Blue Economy, Copernicus Satellite Imagery Challenge (800 - 1000 characters incl. spaces) Coastal regions are considered pivotal for socio-economic activities facing heightened vulnerability to Climate Change (CC). The imperative for CC adaptation in coastal zones is evident and is expected to be intensified, followed by dynamic and iterative adaptation strategies. The OCEANIDS project aims to create user-driven tools and applications, serving mainly as a technological layer for regional authorities and stakeholders, enabling them to establish a more inclusive and resilient pathway leading to a Blue Economy in coastal regions. OCEANIDS contributes to the broader understanding of geological challenges in the context of climate change, addressing issues such as sea-level rise, which directly impacts coastal geology. The platform's capability to assess hazards and provide recommendations supports not only immediate responses but also aids in formulating long-term strategies for mitigating geological risks associated with changing environmental conditions. Methodology (1200 – 1500 characters incl. spaces) The overall methodology of the introduced approach focuses on a prespecified workflow. Firstly, it is essential to make use of quantitative environmental impact assessment methods and advanced meteorological models in coastal areas, estimating the mitigation of CC based on identified weather patterns. A consolidated framework for data harmonisation, the OCEANIDS Data Cubes, will be then developed, facilitating the effectiveness of data consumption and interchange to the OCEANIDS Decision Support System (DSS). On top of the Euro Data Cube and the Copernicus Coastal Hub, these data cubes will be fused with EO data and further processed and analysed using advanced deep learning and AI methods and techniques. Aiming to build an integrated Climate-Informed Maritime Spatial Planning (CI-MSP) platform all the acquired information from the multiple, diverse sources shall be combined. This will provide the stakeholders with a cohesive platform which promotes effective decisionmaking in coastal areas. Additionally, the development of the OCEANIDS DSS, which represents a comprehensive and integrated tool-set for coastal climate mitigation will follow, fostering more efficient and consolidated decisions and strategies. Overall, the methodology involves a combination of advanced modelling, data harmonisation techniques, platform integration, and tool development, for enhancing coastal resilience. Expected results (1200 – 1500 characters incl. spaces) The Expected outcomes are an advanced CC risk and hazard risk assessment platform, which serves as a DSS facilitating a holistic planning process for multi-hazard risk factors, while also contributing to the preparatory phase and response to climate change-related events. Moreover, an integrated Earth Observation (EO) and spatial data platform shall be established, representing a single access portal for spatially enabled data. This platform will offer access to a wide range of information, data, and metadata which is pivotal for decision-making related to climate change management. These data could be timeseries, historical data, and near-real-time data, along with all their relevant metadata. The final outcome of the OCEANIDS project is the robust and consolidated OCEANIDS Decision Support Platform (O-DSP). This platform shall secure and optimise ports, regional areas, and local authorities' operations on possible climate impacts in coastal regions. Its building components shall follow a methodological approach based on a well-structured framework that makes them interoperable and easily accessible by other available tools and components, offering a holistic solution for the efficient monitoring of the socioeconomic aspect of the coastal regions. Outlook for the future (800 - 1000 characters incl. spaces) Looking ahead, the OCEANIDS Decision Support Platform seeks to transform the standard mitigation approach to the CC effects, while at the same time promoting sustainable development in coastal regions. This can be achieved by providing reliable recommendations to end-users on spatiotemporal changes and environmental impacts, transforming it into a cornerstone for robust decision-making. The knowledge of CC will be radically improved by having a consolidated system of interconnected services, which will represent a vital tool in supporting environmental policies. An advanced web platform dedicated to hazard assessment and multi-scale planning, promises to have a significant influence on stakeholders and communities. To this end, advancing and expanding the elaborated DSS platform with a more extensive dataset, with fully automated procedures established for near-real-time monitoring, may address the multifaceted impacts on society, the economy, and the environment, emphasising the protection of coastal communities through innovative planning and resilient societal responses. OCEANIDS aims to establish proactive CC management, playing a pivotal role in building a more resilient and sustainable future and addressing the evolving environmental challenges. Figure 1. The MSP creation lifecycle, and how OCEANIDS components address each cycle