Description：
The GEO Cold Regions Initiative (GEOCRI) aims to address the challenges posed by climate change in the world's cold regions, affecting water resources, ecosystems, infrastructure, and sustainable development, where effective responses have long been constrained by a lack of observations and data services, and through international collaboration. This session focuses on the GEOCRI post-2025 (2025-2030) strategic plan, which centers on the deep integration of Earth Observation (EO) and Artificial Intelligence (AI) to dramatically improve scientific understanding, management, and operational efficiency in the cold regions. Key initiatives include: developing AI-driven online computing capabilities for data processing, predictive modeling, and filling temporal and spatial gaps; developing standards for high-quality data products on essential cold-region variables (ECRVs) to meet resource management and hazard prediction needs; and optimizing information services to provide easier-to-use visualization and analytical tools to support multi-stakeholder decision-making. In addition, GEOCRI will expand user participation, strengthen collaboration with international agencies and scientific programs, and plan to establish an international scientific committee to provide high-level scientific guidance. Through these efforts, GEOCRI is committed to providing critical geo-smart solutions for cold regions, enhancing climate change resilience, and serving the United Nations Sustainable Development Goals (SDGs)
National Space Science Center, Chinese Academy of Sciences, China
Delft University of Technology, the Netherlands
Areospace Information Research Institute, Chinese Academy of Sciences, China
Chair: Yubao Qiu
14:00-14:15
Amos T. Kabo-Bah, Co-Chair to GEO Programme Board (Online)
Gensuo JIA, Chair of the GEO Climate Change Working Group
JianCheng SHI, National Space Science Center, Chinese Academy of Sciences, China
14:15-14:25
GEO Cold Regions Initiative Work Programme for Post 2025
Yubao QIU, Massimo Menenti , PoC to Co-Lead Group
14:25-14:30
Questions
Chairs: Massimo Menenti
14:30-14:40
Modeling and observation of snow over Tibetan Plateau
JianCheng SHI, National Space Science Center, Chinese Academy of Sciences, China
14:40-14:50
Global SnowPack and IceLines – two operational Cryosphere products provided by DLR based on remote sensing data
Andreas J. Dietz, German Aerospace Center (DLR), Germany
14:50-15:00
Monitoring snow mass in mountain regions based on radar remote sensing
Hans Lievens , Ghent University, Belgium
15:00-15:10
Challenges of Japanese Polar Data Sciences
Hiroyuki Enomoto, National Institute of Polar Research (NIPR), Japan
15:10-15:20
Current status and future prospect of glacier inventory in High Mountain Asia
Shiyin LIU, Yunnan University
15:20-15:30
Daily snow fraction and snow water equivalent dataset over China
Lingmei JIANG, Beijing Normal University, China
Chair: Massimo Menenti
Chair: Jiancheng Shi
16:00-16:10
An earth observation system to monitor energy and water fluxes in the Tibetan Plateau
Massimo Menenti, Delft University of Technology, the Netherlands
16:10-16:20
The Arena for the Gap Analysis of Existing Arctic Science Co-Operations (AASCO) White Paper: Summary of the AASCO event on February 4–5, 2025 in Monaco & next steps
Hanna K. Lappalainen, University of Helsinki, Finland
16:20-16:30
Data center and energy in cold regions
Fengjun DUAN, The Canon Institute for Global Studies, Japan
16:30-16:40
Snow Avalanche Monitoring in the High Mountain Asia
Lanhai LI, Xinjiang Institute of Ecology and Geography Chinese Academy
16:40-16:50
A Threefold Approach for Acceleration of SDGs in Himalayan
Pradhan Prajal, University of Groningen, Netherlands
Chair: Jiancheng Shi
Chair: Yubao Qiu
17:10-17:40
Wrap-up and Next
Yubao Qiu, JianCheng Shi, Massimo Menenti