Abstract
Recently, various Earth Observation Networks (EONs) have been designed, developed and launched by in-situ, on-site and off-site collected data from fixed and moving marine sensors and remote sensing (RS) satellite data. This information can significantly help a wide range of public and private end-users better understand the medium- and high-resolution numerical models for regional, national and global coverage. In this context, such EON core services’ operational numerical data can be seen of the growing demand result for marine sustainability development of developing countries and the European Union (EU). In this case, marine platforms can offer a wide range of benefits to users of human communities in the same environment using meticulous analyses. Furthermore, marine platforms can contribute to a deeper discourse on the ocean, given the required regulations, technical and legal considerations and users to a common typology using clear scientific terminology. In this regard, firstly, the following six steps have been used to develop a better understanding of the essential data structure that is commensurate with the efficiency of the marine end-user’s service: (1) steps and challenges of collecting data, (2) stakeholder engagement to identify, detect and assess the specific needs of end-users, (3) design, develop and launch the products offered to meet the specific needs of users, (4) achieve sustainable development in the continuous provision of these products to end-users, (5) identify future needs and challenges, and (6) online platform architecture style related to providing these products to end-users. Secondly, the innovation of the ODYSSEA (Operating a Network of Integrated Observatory Systems in the Mediterranean Sea) platform project has been evaluated and reviewed as a successful project on marine online platforms to better understand how marine online platforms are being used, designed, developed and launched. The ODYSSEA platform provides a system that bridges the gap between operational oceanographic capabilities and the need for information on marine conditions, including for the end-user community. The project aims to develop a fully integrated and cost-effective cross-platform, multi-platform network of observation and forecasting systems across the Mediterranean Sea.
Highlights
Earth Observation (EO) data based on information received from remote sensing (RS)
EO data received based on RS satellites play a more prominent role than other data types in international cooperation
The following six steps have been used to develop a better understanding of the essential data structure that is commensurate with the efficiency of the end-user’s service: (1) steps and challenges of collecting different data, (2) stakeholder engagement to identify, detect and assess the specific needs of end-users, (3) design, develop and launch the products offered to meet the specific needs of users, (4) achieve sustainable development in the continuous provision of these products to end-users, (5) identify future needs and challenges, and (6) online platform architecture style related to providing these products to end-users
Summary
Earth Observation (EO) data based on information received from remote sensing (RS). Satellites provide an excellent opportunity to better understand the blue planet on which we live Such data make a linear and non-linear analysis possible to monitor the global environmental changes using predictive models [1] and provide information products. EO data received based on RS satellites play a more prominent role than other data types in international cooperation Such data can potentially be used in various applications, including energy, environment [4] and the marine protection sector [5]. EO data can be used to successfully evaluate applied solutions This can help human societies generate environmental health and safety warnings and respond to various Earth issues, such as natural disasters [6]. Spatial planning information that can fulfil the parameters required by marine studies collected and the collection of spatial planning information have been facilitated by the analysis of free data (open-source and unlimited policy) obtained through an analysis of land and ocean observation tools [8,9]
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