Javascript must be enabled to continue!
From theory to real-world geomatics applications: glacier monitoring fieldworks through an innovative teaching program
View through CrossRef
Applying skills gained from university courses marks a pivotal step in crafting engaging and innovative teaching methods (Balletti et al., 2023). Over its 10 editions, the Summer School hosted by Politecnico di Milano's Section of Geodesy and Geomatics, within the Department of Civil and Environmental Engineering, has consistently aimed to bridge the divide between theory and practice. Focused on instructing students in the design and execution of topographic surveys, particularly in environmentally challenging alpine regions impacted by climate change, this program ensures hands-on learning experiences.The Summer School is framed within a long-term monitoring activity of the Belvedere Glacier, a temperate debris-covered alpine glacier, located in the Anzasca Valley (municipality of Macugnaga – Italy). Since 2015 annual in-situ GNSS and UAV photogrammetry surveys have been performed to derive accurate 3D models of surface of the entire glacier, allowing the derivation of its velocity and volume variations over the last decade. In a week-long program, undergraduate and graduate students in Engineering, Geoinformatics and Architecture are encouraged to collaborate, with the supervision of young tutors who are passionate about the topic, to develop effective strategies for designing in-situ measuring surveys, fostering problem solving and team-working. The teaching materials used to introduce key theoretical concepts as well as to guide students through practical exercises with processing software is made openly accessible online with a dedicated website built on top of an open-source GitHub repository (https://tars4815.github.io/belvedere-summer-school/), providing the groundwork for developing collaborative online teaching and expanding the material for other future learning experiences  (Potůčková et al., 2023).Adding value to the experience, students also contribute to an ongoing project regarding the monitoring of the glacier (Ioli et al., 2021; https://labmgf.dica.polimi.it/projects/belvedere/), providing valuable insights on the recent evolution of the natural site. The 2D and 3D georeferenced products are indeed published in an existing public repository on Zenodo (https://doi.org/10.5281/zenodo.7842348), sharing results with a wider scientific community.The valuable experience and outcomes from various Summer School editions led the organizing team to secure the EGU 2023 Higher Education teaching grant program. This opportunity facilitated enhancements to the teaching material and bolstered support for in-situ experiences.Bibliography:Balletti, C., Capra, A., Calantropio, A., Chiabrando, F., Colucci, E., Furfaro, G., Guastella, A., Guerra, F., Lingua, A., Matrone, F., Menna, F., Nocerino, E., Teppati Losè, L., Vernier, P., Visintini, D. (2023): The SUNRISE summer school: an innovative learning-by-doing experience for the documentation of archaeological heritage, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-M-2-2023, 147–154Ioli, F., Bianchi, A., Cina, A., De Michele, C., Maschio, P., Passoni, D., Pinto, L. (2021). Mid-term monitoring of glacier’s variations with UAVs: The example of the belvedere glacier. Remote Sensing, 14(1), 28.Potůčková, M., Albrechtová, J., Anders, K., Červená, L., Dvořák, J., Gryguc, K., Höfle, B., Hunt, L., Lhotáková, Z., Marcinkowska-Ochtyra, A., Mayr, A., Neuwirthová, E., Ochtyra, A., Rutzinger, M., Šedová, A., Šrollerů, A., Kupková, L. (2023): E-TRAINEE: open e-learning course on time series analysis in remote sensing, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1/W2-2023, 989–99
Title: From theory to real-world geomatics applications: glacier monitoring fieldworks through an innovative teaching program
Description:
Applying skills gained from university courses marks a pivotal step in crafting engaging and innovative teaching methods (Balletti et al.
, 2023).
Over its 10 editions, the Summer School hosted by Politecnico di Milano's Section of Geodesy and Geomatics, within the Department of Civil and Environmental Engineering, has consistently aimed to bridge the divide between theory and practice.
Focused on instructing students in the design and execution of topographic surveys, particularly in environmentally challenging alpine regions impacted by climate change, this program ensures hands-on learning experiences.
The Summer School is framed within a long-term monitoring activity of the Belvedere Glacier, a temperate debris-covered alpine glacier, located in the Anzasca Valley (municipality of Macugnaga – Italy).
Since 2015 annual in-situ GNSS and UAV photogrammetry surveys have been performed to derive accurate 3D models of surface of the entire glacier, allowing the derivation of its velocity and volume variations over the last decade.
In a week-long program, undergraduate and graduate students in Engineering, Geoinformatics and Architecture are encouraged to collaborate, with the supervision of young tutors who are passionate about the topic, to develop effective strategies for designing in-situ measuring surveys, fostering problem solving and team-working.
The teaching materials used to introduce key theoretical concepts as well as to guide students through practical exercises with processing software is made openly accessible online with a dedicated website built on top of an open-source GitHub repository (https://tars4815.
github.
io/belvedere-summer-school/), providing the groundwork for developing collaborative online teaching and expanding the material for other future learning experiences  (Potůčková et al.
, 2023).
Adding value to the experience, students also contribute to an ongoing project regarding the monitoring of the glacier (Ioli et al.
, 2021; https://labmgf.
dica.
polimi.
it/projects/belvedere/), providing valuable insights on the recent evolution of the natural site.
The 2D and 3D georeferenced products are indeed published in an existing public repository on Zenodo (https://doi.
org/10.
5281/zenodo.
7842348), sharing results with a wider scientific community.
The valuable experience and outcomes from various Summer School editions led the organizing team to secure the EGU 2023 Higher Education teaching grant program.
This opportunity facilitated enhancements to the teaching material and bolstered support for in-situ experiences.
Bibliography:Balletti, C.
, Capra, A.
, Calantropio, A.
, Chiabrando, F.
, Colucci, E.
, Furfaro, G.
, Guastella, A.
, Guerra, F.
, Lingua, A.
, Matrone, F.
, Menna, F.
, Nocerino, E.
, Teppati Losè, L.
, Vernier, P.
, Visintini, D.
(2023): The SUNRISE summer school: an innovative learning-by-doing experience for the documentation of archaeological heritage, Int.
Arch.
Photogramm.
Remote Sens.
Spatial Inf.
Sci.
, XLVIII-M-2-2023, 147–154Ioli, F.
, Bianchi, A.
, Cina, A.
, De Michele, C.
, Maschio, P.
, Passoni, D.
, Pinto, L.
(2021).
Mid-term monitoring of glacier’s variations with UAVs: The example of the belvedere glacier.
Remote Sensing, 14(1), 28.
Potůčková, M.
, Albrechtová, J.
, Anders, K.
, Červená, L.
, Dvořák, J.
, Gryguc, K.
, Höfle, B.
, Hunt, L.
, Lhotáková, Z.
, Marcinkowska-Ochtyra, A.
, Mayr, A.
, Neuwirthová, E.
, Ochtyra, A.
, Rutzinger, M.
, Šedová, A.
, Šrollerů, A.
, Kupková, L.
(2023): E-TRAINEE: open e-learning course on time series analysis in remote sensing, Int.
Arch.
Photogramm.
Remote Sens.
Spatial Inf.
Sci.
, XLVIII-1/W2-2023, 989–99.
Related Results
Glacier Mass Loss Simulation Based on Remote Sensing Data: A Case Study of the Yala Glacier and the Qiyi Glacier in the Third Pole
Glacier Mass Loss Simulation Based on Remote Sensing Data: A Case Study of the Yala Glacier and the Qiyi Glacier in the Third Pole
The climate warming over the Third Pole is twice as large as that in other regions and glacier mass loss is considered to be more intensive in the region. However, due to the vast ...
Monitoring glacier fade out in Austrian Eastern Alps
Monitoring glacier fade out in Austrian Eastern Alps
<p>In the Austrian Alps, recent rapid glacier melt affected the glaciers up to the summits. Glacier disintegration, debris flows, rock falls and increased melt rates ...
A new global dataset of mountain glacier centerline and length
A new global dataset of mountain glacier centerline and length
Abstract. Length is one of the key determinants of glacier geometry and is an important parameter of glacier inventory and modeling; glacier centerlines are crucial inputs for many...
Holocene thinning history of David Glacier, Antarctica
Holocene thinning history of David Glacier, Antarctica
<p>The Antarctic Ice Sheet is a significant component of the Earth System, modulating Earth‘s sea level and climate. Present day and projected ice mass losses from Antarctica...
Studies on the Basal-Ice Zone of Findelen Glacier, Switzerland
Studies on the Basal-Ice Zone of Findelen Glacier, Switzerland
Basal and englacial debris layers have been observed to coincide distinctly with the location of glacier thrust planes or shear zones, e.g. at Shoestring Glacier (Brugman and Meier...
Glaciers Variation at ‘Shocking’ Pace in the Northeastern Margin of Tibetan Plateau from 1957 to 21st Century: A Case Study of Qiyi Glacier
Glaciers Variation at ‘Shocking’ Pace in the Northeastern Margin of Tibetan Plateau from 1957 to 21st Century: A Case Study of Qiyi Glacier
Accelerating glacier shrinkage is one of the most consequential of global warming. Yet, projections for the region remain ambiguous because of the tremendous spatial heterogeneity,...
Glacier Speed-Up Events and Subglacial Hydrology on the Lower Franz Josef Glacier, New Zealand
Glacier Speed-Up Events and Subglacial Hydrology on the Lower Franz Josef Glacier, New Zealand
<p>The contribution of glacier mass loss to future sea level rise is still poorly constrained (Lemke and others, 2007). One of the remaining unknowns is how water inputs infl...
High-frequency automatic 3D glacier monitoring using low-cost time-lapse cameras and Deep Learning algorithms
High-frequency automatic 3D glacier monitoring using low-cost time-lapse cameras and Deep Learning algorithms
High-frequency monitoring of hardly-accessible glaciers is usually challenging. Though, it is critical for understanding and modeling infra-seasonal glacier dynamics. Fixed time-la...

