AI in Earth observation | AI and Climate Science | AI for Good
0GEO is supporting the international coordination and implementation of the contribution of Earth Observations for Sustainable Development, climate change mitigation and adaptation, disaster risk reduction and urban resilience as well as other multilateral environmental frameworks such as biodiversity conservation and mercury control. Earth observations, geospatial data (including in situ and citizen science data), and derived information play insightful roles in monitoring targets, planning, tracking progress, and helping nations and stakeholders make informed decisions, plans, and on-going adjustments that will contribute toward achieving all the needed changes toward a more sustainable development. Combined with demographic and statistical data, these sources enable nations to analyze and model conditions, create maps and other visualizations, evaluate impacts across sectors and regions, monitor change over time in a consistent and standardized manner, and improve accountability. GEO supports efforts to integrate Earth observations and geospatial information into national development and monitoring frameworks for these many sustainability applications. The recent acceleration of the production of EO data benefiting from the New Space industry as well as from new advanced radar and hyperspectral imaging satellites is taking the entire GEO community in another dimension of the terabit satellite era. This presentation will highlight how the GEO community is preparing the next wave of Big Earth Observations using new data infrastructures ready for AI, developing new platforms to share knowledge and coordinating the development of operational applications for impactful solutions.\n\nSpeakers:\nLaurent Durieux\nCoordinator of the Sustainable Development Goals Engagement\nGroup on Earth Observations (GEO)\n\nXiao Xiang Zhu\nProfessor\nTechnical University of Munich\n\nDuncan Watson-Parris\nPostdoctoral Research Associate\nUniversity of Oxford\n\nModerators:\nPhilip Stier\nHead of Atmospheric, Oceanic and Planetary Physics\nUniversity of Oxford\n\n#AIforClimateScience #AIforClimateScience\n\nJoin the Neural Network! \nhttps://aiforgood.itu.int/neural-network/\nThe AI for Good networking community platform powered by AI. \nDesigned to help users build connections with innovators and experts, link innovative ideas with social impact opportunities, and bring the community together to advance the SDGs using AI.\n\n Watch the latest #AIforGood videos!\n\n\nExplore more #AIforGood content:\n AI for Good Top Hits\n • Top Hits \n\n AI for Good Webinars\n • AI for Good Webinars \n\n AI for Good Keynotes\n • AI for Good Keynotes \n\n Stay updated and join our weekly AI for Good newsletter:\nhttp://eepurl.com/gI2kJ5\n\n Discover what's next on our programme!\nhttps://aiforgood.itu.int/programme/\n\nCheck out the latest AI for Good news:\nhttps://aiforgood.itu.int/newsroom/\n\nExplore the AI for Good blog:\nhttps://aiforgood.itu.int/ai-for-good-blog/\n\n Connect on our social media:\nWebsite: https://aiforgood.itu.int/\nTwitter: https://twitter.com/AIforGood\nLinkedIn Page: https://www.linkedin.com/company/26511907 \nLinkedIn Group: https://www.linkedin.com/groups/8567748 \nInstagram: https://www.instagram.com/aiforgood \nFacebook: https://www.facebook.com/AIforGood\n\nWhat is AI for Good?\nWe have less than 10 years to solve the UN SDGs and AI holds great promise to advance many of the sustainable development goals and targets.\nMore than a Summit, more than a movement, AI for Good is presented as a year round digital platform where AI innovators and problem owners learn, build and connect to help identify practical AI solutions to advance the United Nations Sustainable Development Goals.\nAI for Good is organized by ITU in partnership with 40 UN Sister Agencies and co-convened with Switzerland.\n\nDisclaimer:\nThe views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.