The cryosphere plays a critical role in regulating global climate and water resources. In recent decades, rapid changes in the cryosphere, largely driven by global warming, have posed significant challenges for environmental management, natural resource development, and hazard mitigation. The European Arctic, in particular, is one of the regions most affected by these changes, with observable impacts on permafrost stability, glacier retreat, and sea ice variability.
Advancements in geoinformation technology and Earth observation have become indispensable for monitoring these transformations and understanding their wide-ranging impacts. Remote sensing, geospatial modeling, data integration, and artificial intelligence are now at the forefront of cryospheric studies, enabling more precise monitoring, forecasting, and policy support.
The aim of this workshop is to highlight the latest developments and applications of geoinformation technology for cryosphere research, with a special emphasis on the European Arctic. The session will provide a platform for presenting cutting-edge research, methodological advances, and case studies, while fostering dialogue and collaboration between scientists, practitioners, and policymakers.
List of topics
We welcome contributions on, but not limited to, the following topics:
- Advances in remote sensing of snow, ice, and permafrost, including new sensors and
techniques for data acquisition, processing, and analysis. - Monitoring of cryospheric changes and dynamics using Earth observation data, such
as glacier mass balance, ice sheet and sea ice extent, snow cover extent, and
permafrost degradation. - Validation and verification of cryospheric remote sensing data and products, including
ground-based and in situ measurements and modeling. - Applications of cryospheric remote sensing in climate and water resources modeling,
natural resource management, and hazard mitigation. - Cryospheric remote sensing at different spatial and temporal scales, from local to
regional and global. - Use of artificial intelligence, machine learning, and big data analytics in cryospheric
studies. - Challenges and opportunities in cryospheric remote sensing research and applications.
- Comprehensive review articles in cryospheric remote sensing covering the state of the
art, challenges, and future prospects. - Case studies from the European Arctic showcasing geoinformation tools in practice.
Scientific Committee of the Workshop
Ali Arslan, ali.nadir.arslan@fmi.fi, Finish Meteorological Institute
Roberta Pirazzini, Roberta.Pirazzini@fmi.fi, Finish Meteorological Institute
Ionut Sandric, ionut.sandric@geo.unibuc.ro, University of Bucharest
Lia Karathanassi, karathan@survey.ntua.gr, National Technical University of Athens
Kleanthis Karamvasis, karamvasisk@central.ntua.gr, National Technical University of Athens
Marko Scholze, marko.scholze@nateko.lu.se, University of Lund
Bogdan Zagajewski, bogdan@uw.edu.pl, University of Warsaw
Kathrin Naegeli, kathrin.naegeli@geo.uzh.ch, University of Zurich
Annett Bartsc, annett.bartsch@bgeos.co, BGEOS
Eirik Malens, eima@norceresearch.no, The Norwegian Research Centre
Bartłomiej Łuks, luks@igf.edu.pl, Institute of Geophysics Polish Academy of Sciences
Roberto Salzano, roberto.salzano@cnr.it, Italian National Research Council – Institute of Atmospheric Pollution
Organisers
Patryk Grzybowski
CloudFerro S.A.
pgrzybowski@cloudferro.com
Beata Kroszka
CloudFerro S.A.
bkroszka@cloudferro.com
Ali Arslan
Finish Meteorological Institute – FMI
ali.nadir.arslan@fmi.fi
Acknowledgement
The organization of this workshop is being supported by the project “EO-PERSIST”, funded by
the European Union’s Horizon Europe research and innovation program (HORIZON-MSCA2021-SE-01-01, under grant agreement no. 101086386).