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Alle artikelen van Earth Observation

12 artikelen

  1. Successful seminar - Big Data Processing in Astronomy and Earth Observation

    We look back at a very successful seminar "Big Data Processing in Astronomy and Earth Observation", that took place 23rd of January 2024 at SURF in Utrecht. Over 60 participants from both scientific domains gathered to exchange knowledge and discuss interdisciplinary challenges.

  2. Draft ENES Infrastructure Strategy 2024-2033

    The European Network for Earth System Modelling, ENES, published a draft Infrastructure Strategy and is seeking feedback from the community.  

  3. Save the Date - Seminar Big Data Processing in Astronomy and Earth Observation: Synergies & Shared Challenges

    Do you deal with Big Data in your research in Astronomy or Earth Observation? Or do you want to learn about innovative projects in these domains with a strong data processing component? Then save the date for this seminar, organized by SURF & NSO, bringing together the Astronomy and Earth Observation communities to discuss shared challenges and best practices. Registration opens mid-October. Date: 23-01-2024 Time: 10:00 – 17:00 Location: SURF Utrecht Costs: free of charge (priority given to SURF members)

  4. Unlocking the Potential of Responsible AI in Research: Share Your Insights in Our 10-Minute Survey

    Artificial Intelligence (AI) has revolutionized the research landscape, offering new methodologies and tools that have the potential to greatly enhance scientific discoveries. However, the adoption of AI in research also brings its own set of challenges, requiring new skills and a deep understanding of responsible AI practices. We need your insights to help us navigate this exciting yet complex field. Help us by filling in our 10-minute survey on responsible AI in research!

  5. Successful seminar "Digital Twins for Earth Sciences"

    We look back at a very successful seminar "Digital Twins for Earth Sciences: How to prepare your infrastructure", that took place 21st of November 2022 at SURF. The seminar was fully booked with over 60 participants from academia, industry and government agencies. Find the presentations below in the programme.

  6. Ten years of research software collaboration

    Academic research in almost any discipline is impossible without software. But universities do not always have the expertise to develop this specific kind of research software. That is why NWO and SURF founded the Netherlands eScience Center ten years ago. Raúl Zurita Milla (University of Twente) pioneered with big data, thanks to the Center.

  7. National Strategy Earth Observation research

    Dutch scientists decided - for the first time - to join forces and formulate a National Strategy for Earth Observation research.

  8. New research shows communities around small reservoirs more vulnerable to climate extremes

    The water volume in small reservoirs is significantly more susceptible to seasonal and climate variability than larger reservoirs, leaving communities that rely on them more vulnerable to water scarcity and food insecurity, according to new research. Published on 12 August 2022 in Nature Scientific Reports, a new study identified and analyzed 71,208 small and medium reservoirs using Global Water Watch, a platform that provides free, globally-accessible, near-real-time information on water. This platform is being development by Deltares, World Resources Institute (WRI) and the World Wildlife Fund (WWF), and is supported by Google.org and the Water, Peace and Security Partnership. With water crises worsening due to growing demands and the escalating impacts of climate change, accessible and reliable water data is going to be increasingly important.

  9. Compute resources for Earth Observation

    SURF offers a wide range of services that are suitable for Earth Observation research. But how do you find the service that fits your research question best?

  10. New paper by C-SCALE partners

    An open compute and data federation as an alternative to monolithic infrastructures for big Earth data analytics