BEGIN:VCALENDAR VERSION:2.0 PRODID:-//pretalx//talks.staging.osgeo.org//foss4g-europe-2024-academic-tra ck//speaker//LPSBNA BEGIN:VTIMEZONE TZID:EET BEGIN:STANDARD DTSTART:20000101T000000 RRULE:FREQ=YEARLY;BYMONTH=1;UNTIL=20001231T220000Z TZNAME:EET TZOFFSETFROM:+0200 TZOFFSETTO:+0200 END:STANDARD BEGIN:STANDARD DTSTART:20021027T050000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:EET TZOFFSETFROM:+0300 TZOFFSETTO:+0200 END:STANDARD BEGIN:DAYLIGHT DTSTART:20020331T040000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:EEST TZOFFSETFROM:+0200 TZOFFSETTO:+0300 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:pretalx-foss4g-europe-2024-academic-track-A88WSU@talks.staging.osgeo.or g DTSTART;TZID=EET:20240704T110000 DTEND;TZID=EET:20240704T113000 DESCRIPTION:**Motivation:** The Massive Open Online Course (MOOC) “Cubes and Clouds” teaches the concepts of data cubes\, cloud platforms\, and o pen science in the context of Earth Observation (EO). The course is design ed to bridge the gap between relevant technological advancements and best practices and existing educational material. Successful participants will have acquired the necessary skills to work and engage themselves in a comm unity adhering to the latest developments in the geospatial and EO world.\ n\n**Target group:** The target group are earth science students\, researc hers\, and data scientists who want to dive into the newest standards in E O cloud computing and open science. The course is designed as a MOOC that explains the concepts of cloud native EO and open science by applying them to a typical EO workflow from data discovery\, data processing up to shar ing the results in an open and FAIR way. \n\n**Content:** This MOOC is an open learning experience relying on a mixture of animated lecture content and hands-on coding exercises created together with community renowned exp erts. The course is structured into three main chapters Concepts\, Discove ry and Process and Share. The degree of interaction (e.g. hands-on coding exercises) is gradually increasing throughout the course. The theoretical basics are taught in the first chapter Concepts\, comprising cloud platfor ms\, data cubes and open science practices. In the second chapter the focu s is on discovery of data and processes and the role of metadata in EO. In the final chapter the participants carry out complete processing workflow s on cloud infrastructure and apply open science practices to the produced results. Every lesson is concluded with a quiz\, ensuring that the conten t has been understood. \n\nThe course contains 13 written lectures that co nvey the basic knowledge and theoretical concepts\, 13 videos which have b een created with a professional communication team and in collaboration wi th a leading expert on the topic and shines a light on a real world exampl e (e.g. The role of GDAL in the geospatial and EO)\, 16 pieces of animated interactive content which engage the participants to actively interact wi th the content (e.g. Sentinel 2 Data Volume Calculator) and 11 hands-on co ding exercises in the form of curated jupyter notebooks that access Europe an EO cloud platforms (e.g. CDSE) and carry out analysis there using stand ardized API’s like openEO (e.g. full EO workflow for snow cover mapping) .\n\n**Infrastructure:** The EOCollege platform hosts the lectures and the animated content (e.g. videos\, animations\, interactive elements) of the course. The hands-on exercises are directly accessible from EOCollege via a dedicated JupyterHub environment\, which accesses European EO cloud pla tforms\, such as the Copernicus Data Space Ecosystem\, using its open scie nce tools like the Open Science Data Catalogue\, openEO and STAC. Guarante eing that the learned concepts are applied to real-world applications. In the final exercise the participants will map the snow cover of an area of interest they choose and make their results openly available according to the FAIR principles on an web viewer (STAC browser). This community mappin g project actively lives the idea of open science\, collaboration and comm unity building.\n\n**Learning achievements:** After finishing the course\, the participants will understand the concepts of cloud native EO\, be cap able of independently using cloud platforms to approach EO related researc h questions and be confident in how to share research by adhering to the c oncepts of open science. After the successful completion of the course the participants receive a certificate and diploma supplement and their perso nal map is persistently available in the web viewer as a proof of work.\n\ n**Benefits for the open geospatial community:** The MOOC is valuable for the geospatial and EO community and open science as there is currently no learning resource available where the concepts of cloud native computing a nd open science in EO are taught jointly to bridge the gap towards the rec ent cloud native advancements. The course is open to everybody\, thus serv ing as teaching material for a wide range of purposes including universiti es and industry\, maximizing the outreach to potential participants. In th is sense also the raw material of the course is created following open sci ence practices (e.g. GitHub repository\, Zenodo\, STAC Browser for results ) and can be reused and built upon. \n\nThe "Cubes and Clouds" MOOC equips participants with essential skills in cloud native EO and open science\, enhancing their ability to contribute meaningfully to the open geospatial community. By promoting transparency\, reproducibility\, and collaboration in research\, graduates of the course strengthen the foundations of open science within the community. Access to cloud computing resources and Euro pean EO platforms empowers participants to undertake innovative research p rojects and share their findings openly\, enriching the collective knowled ge base. Ultimately\, the MOOC fosters a culture of openness and collabora tion\, driving positive change and advancing the field of geospatial scien ce for the benefit of all.\n\n**Structure of the Talk:** Our talk will int eractively guide through the MOOC and showcase the learning experience. To evaluate its usefulness the perception of the first participants will be analyzed and finally we will jointly discuss activities to integrate with other teaching and tech communities (e.g. Pangeo). \n\n**Links:**\n- [EOCo llege: MOOC Cubes and Clouds](https://eo-college.org/courses/cubes-and-clo uds)\n- [GitHub](https://github.com/EO-College/cubes-and-clouds/tree/main) \n- [Zenodo](https://zenodo.org/communities/cubes_and_clouds?q=&l=list&p=1 &s=10&sort=newest)\n- [Community mapping project - Cubes and Clouds Snow C over Stac Collection](https://esa.pages.eox.at/cubes-and-clouds-catalog/br owser/#/) DTSTAMP:20260509T071410Z LOCATION:Omicum SUMMARY:MOOC Cubes and Clouds - Cloud Native Open Data Sciences for Earth O bservation - Peter James Zellner URL:https://talks.staging.osgeo.org/foss4g-europe-2024-academic-track/talk/ A88WSU/ END:VEVENT END:VCALENDAR