BEGIN:VCALENDAR VERSION:2.0 PRODID:-//pretalx//talks.osgeo.org//foss4g-europe-2024-academic-track//talk //FJLQTF 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-FJLQTF@talks.osgeo.org DTSTART;TZID=EET:20240704T113000 DTEND;TZID=EET:20240704T120000 DESCRIPTION:Applying skills gained from university courses marks a pivotal step in crafting engaging teaching methods. Including practical activities in higher education programs plays a crucial role in knowledge transfer\, especially in geomatics (Tucci et al.\, 2020). Moreover\, engaging groups of students along the entire process of in-situ survey design\, data coll ection\, management\, processing and results preparation furtherly foster their responsibility as well as the awareness of the technologies adopted\ , actively understanding their limitations and potentials (Balletti et al. \, 2023). In recent years\, STEM and geomatics have seen a growing number of learning experiences based on open knowledge (Gaspari et al\, 2021\, ht tps://machine-learning-in-glaciology-workshop.github.io/\, Potůčková et al.\, 2023). In this context\, this work is presenting an innovative teac hing experience framed in the mountainous environment of the Italian Alps describing the structure of the course and the potential of open geo educa tion in geomatics.\n\nSince 2016\, the Geodesy and Geomatics Section of th e Department of Civil and Environmental Engineering of Politecnico di Mila no organised a Summer School for Engineering\, Geoinformatics and Architec ture Bachelor and Master students consistently aimed to bridge the divide between theory and practice. The Summer School is framed within a long-ter m monitoring activity of the Belvedere Glacier (https://labmgf.dica.polimi .it/projects/belvedere/)\, a temperate debris-covered alpine glacier\, loc ated in the Anzasca Valley (Italy)\, where annual in-situ GNSS and UAV pho togrammetry surveys have been performed since 2015 to derive accurate and complete 3D models of the entire glacier\, allowing the derivation of its velocity and volume variations over the last decade. \n\nIn a week-long pr ogram\, students are encouraged to collaborate\, with the supervision of y oung tutors passionate about the topic\, to develop effective strategies f or designing and executing topographic surveys in challenging alpine regio ns. This program involves them in hands-on learning experiences\, also dir ectly engaging students in a wider ongoing research project\, getting fami liar with the concept of open data and with the adoption of dedicated open -source software.\n\nThe summer school program is divided into 6 modules w hose goal is to introduce students to key theoretical concepts of fieldwor k design\, UAV photogrammetry\, GNSS positioning\, GIS and spatial data an alysis\, image stereo-processing and 3D data visualization. Along with the ory\, practical sessions are organised with guided case study-driven exerc ises that allow students to get familiar also with FOSS4G tools such as QG IS\, CloudCompare and PotreeJS. The teaching materials used to guide stude nts through exercises with processing software is made openly accessible o nline with a dedicated website built on top of an open-source GitHub repos itory with MkDocs (https://tars4815.github.io/belvedere-summer-school/)\, setting the groundwork for developing collaborative online teaching and ex panding the material for other learning experiences with future versions.\ n\nAdding value to the experience\, students also contribute to a research project regarding the monitoring of the glacier (Ioli et al.\, 2021\; Iol i et al.\, 2024)\, providing valuable insights on the recent evolution of the natural site. The georeferenced products derived from the in-situ surv eys are indeed published in an existing public repository on Zenodo (Ioli et al.\, 2023)\, sharing results with a wider scientific community.\n\nFur thermore\, in order to optimise the management of the information and data collected during the different editions of the summer school\, a relation al database has been designed and is currently under implementation with P ostgreSQL and PostGIS. Such solutions allow for querying the location of m arkers deployed on the glacier surface and measured every year by GNSS\, m aking it possible to accurately describe the glacier movements. Additional ly\, a database allows for effectively storing the results of the annual i n-situ surveys carried out during the summer schools\, as well as document ing the instruments and the procedure employed to acquire and process the data.\n\nIn summary\, this study highlights the commitment to open educati on within the realm of geomatics\, with the ongoing transformation of the Belvedere Summer School program into an experience mainly driven by open-s ource software. Beyond the educational focus on fieldwork design and data analysis\, the project extends to a comprehensive approach to transparency \, making resources openly accessible through a dedicated website. In this way\, the Summer School aspires to contribute significantly to the princi ples of open education in geomatics\, thereby establishing an accessible b ridge between education\, research\, and the open-source community.\n\nBib liography:\n\nBalletti\, C. et al. (2023): The SUNRISE summer school: an i nnovative learning-by-doing experience for the documentation of archaeolog ical heritage\, https://doi.org/10.5194/isprs-archives-XLVIII-M-2-2023-147 -2023\n\nGaspari\, F.\, et al. (2021): Innovation in teaching: the PoliMap pers collaborative and humanitarian mapping course at Politecnico di Milan o\, https://doi.org/10.5194/isprs-archives-XLVI-4-W2-2021-63-2021\n\nIoli\ , F. et al. (2021). Mid-term monitoring of glacier’s variations with UAV s: The example of the belvedere glacier. Remote Sensing\, 14(1)\, 28.\n\nI oli\, F.\, et al. (2023). Belvedere Glacier long-term monitoring Open Data (1.0) Zenodo. https://doi.org/10.5281/zenodo.7842348\n\nIoli\, F.\, et al . (2024). Deep Learning Low-cost Photogrammetry for 4D Short-term Glacier Dynamics Monitoring. https://doi.org/10.1007/s41064-023-00272-w\n\nPotůč ková\, et al. (2023): E-TRAINEE: open e-learning course on time series an alysis in remote sensing\, XLVIII-1/W2-2023\, 989–996\n\nTucci\, G.\, et al. (2020). Improving quality and inclusive education on photogrammetry: new teaching approaches and multimedia supporting materials\, https://doi. org/10.5194/isprs-archives-XLIII-B5-2020-257-2020 DTSTAMP:20260531T141600Z LOCATION:Omicum SUMMARY:Bridging geomatics theory to real-world applications in alpine surv eys through an innovative summer school teaching program - Federica Gaspar i URL:https://talks.osgeo.org/foss4g-europe-2024-academic-track/talk/FJLQTF/ END:VEVENT END:VCALENDAR