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Use cases for APEx Project Tools

The APEx Project Tools are designed to support a wide range of activities within the EO community, from project promotion and user support to data visualisation, data analytics, and data processing. By providing managed, configurable environments, these services facilitate the effective sharing, maintenance, and utilisation of project results, ensuring they remain readily accessible and usable for extended periods.

This section provides an initial outline of the primary use cases for APEx Project Tools, demonstrating how they address the specific needs and challenges faced by users and project managers in the EO domain. Each use case highlights the relevant components of the APEx tools, detailing how they work together to provide robust solutions for various tasks.

From promoting EO projects through interactive portals to supporting users with personalised workspaces and comprehensive documentation, the APEx Project Tools are designed to enhance productivity and foster collaboration. Data visualisation tools enable users to interpret and communicate insights effectively, while advanced data analytics environments provide the computational power and tools necessary for complex analyses. Data processing workflows are streamlined through secure, scalable environments, ensuring that users can handle large volumes of EO data efficiently.

The following use cases provide detailed scenarios of how the APEx Project Tools can be leveraged to meet the diverse needs of the EO community, maximising the impact of EO research and applications.

Use Case 1 - Project Promotion

Description

Promote EO projects by providing a centralised, customisable portal that showcases project outcomes, visualisations, and data products. This use case supports the dissemination and accessibility of project results to a broader audience, including stakeholders, policymakers, and the general public.

Key Components

  • Project Portal
    Provides dynamic instantiation using Drupal, allowing project managers to create and maintain a visually appealing and informative site.
  • Geospatial Explorer
    Create an online dashboard to present key metrics and visualisations.
  • Documentation Portal
    Customizable portals using the Quarto framework for detailed project documentation and interactive visualisations.
  • User Forum
    Supports community engagement and discussions around the project outcomes.

Expected Benefits

  • Increased visibility and impact of EO projects.
  • Enhanced stakeholder engagement through accessible and interactive content.
  • Long-term maintenance and accessibility of project results.

Use Case 2- User Support

Description

Provide comprehensive support to users, enabling them to interact with EO data, tools, and services effectively. This use case focuses on offering personalised and collaborative environments where the project PI or their team can seek help, share knowledge, and collaborate on EO applications.

Key Components

  • User Workspace
    Secure and personalised environments allow users to store, share, and manage their data and work.
  • Interactive Development Environment (IDE)
    Leveraging VS Code Server, these environments are tailored for EO tasks and provide development tools.
  • User Forum
    An on-demand service based on Discourse, facilitating user discussions, support queries, and community-driven solutions.
  • Documentation Portal
    Comprehensive documentation and tutorial materials to assist users in navigating and utilising the services.

Expected Benefits

  • Improved user satisfaction and productivity through robust support mechanisms.
  • Enhanced community engagement and knowledge sharing.
  • Efficient troubleshooting and problem-solving through community forums.

Use Case 3 - Data Visualization

Use Case Description

Enable users to visualise EO data in meaningful and interactive ways. This use case supports both public and project-specific visualisations, helping users to interpret and communicate data insights effectively.

Key Components

  • Geospatial Explorer
    Functional enhancements to provide interactive and real-time data visualisations, supporting both raster and tabular data visualisation.
  • Project Portal
    Integration of visualisations into project portals to showcase data insights.
  • Documentation Portal
    Interactive visualisations within documentation to explain data findings and methodologies.

Expected Benefits

  • Enhanced understanding and interpretation of EO data.
  • Improved data communication and storytelling capabilities.
  • Increased engagement through interactive and visually appealing content.

Use Case 4 - Data Analytics

Description

Support advanced data analytics workflows, enabling users to analyse EO data efficiently. This use case focuses on providing powerful tools and environments for data processing and statistical analysis.

Key Components

  • Interactive Development Environment (IDE)
    Equipped with tools for data analysis, statistical computation, and machine learning, leveraging the capabilities of VS Code Server.
  • User Workspace
    Secure and scalable environments for conducting extensive data analysis.
  • Product Catalogue
    A STAC catalogue providing easy access to EO datasets and streamlining the data ingestion process.
  • Geospatial Explorer
    Integration with analytics tools to provide real-time visualisations of analytical results.

Expected Benefits

  • Enhanced analytical capabilities and data-driven insights.
  • Efficient processing and analysis of large EO datasets.
  • Streamlined workflows from data ingestion to analysis and visualisation.

Use Case 5 - Data Processing

Description

Facilitate the processing of EO data through scalable and customisable environments. This use case supports the execution of complex data processing workflows, enabling users to preprocess, transform, and analyse EO data effectively.

Key Components

Expected Benefits

  • Improved efficiency in data processing workflows.
  • Scalable solutions for handling large volumes of EO data.
  • Enhanced ability to preprocess and prepare data for analysis and visualisation.