The Space Solutions Compendium (SSC) is a web portal that aggregates information on space resources, applications and tools that can contribute to monitoring or achieving the Sustainable Development Goals (SDGs). It utilizes an LLM in RAG configuration to provide results that are backed by a compilation of space solutions connected to the SDGs. In its pilot phase, the SSC is populated with data coming from the European Space Agency (ESA), based on a partnership with UNOOSA to ingest ESA’s catalogue of SDG-related solutions. The SSC is designed to expand over time, allowing any space agency or governmental entity to contribute solutions through a template or a machine-to-machine interface, thereby supporting the broader Space4SDGs agenda.
Activity Type AI Tools/SolutionsAwareness/AdvocacyInfrastructure/Systems DevelopmentNetworks/Mentorship/ExchangeThe Tonga Preparedness Pilot Project is a joint initiative by the UN-SPIDER and the Committee on Earth Observation Satellites (CEOS) that enhances disaster preparedness using remote sensing in Tonga. The project utilizes satellite imagery and advanced Earth observation technologies to enhance disaster preparedness. The project used AI for Digital Twin Creation and Palm Tree Detection derived from satellite imagery.
Activity Type AI Tools/SolutionsTechnical AssistanceResearch/Reports/Assessments
The project consists on the development of a curriculum module on the utilization of space-based datasets for the development of AI applications on climate action, targeting girls in developing countries. A partnership with Technovation was launched in 2021 and several webinars presenting the role of space activities for climate action were organized. The work is in progress, working to attract women (age 8-18) to STEM careers through the incorporation of space related concepts in the curriculum that is run by Technovation each year.
The use of satellite remote sensing data created excitement and engagement in the audiences that participated in the various events organized. The use of space data requires dedicated expertise and time is needed to incorporate the expertise and knowledge into and accessible curriculum.
Co-development of spatially enabled digital twin models using UNOOSA-supported EO datasets and analytics to simulate climate risk scenarios and service disruptions ensuring resilience of industrial supply chains and MSMEs to climate disasters.
Activity Type AI Tools/Solutions