Supported By
Networked Collaborative Decision Support for Monitoring and Mitigation of Natural Disasters in Southeastern Asia
Explore Project
LandSage3 enhances regional disaster resilience in Southeast Asia by developing a cyber-enabled visualization platform for collaborative monitoring and decision-making related to floods and landslides.
Building on previous phases, the project extends the LandSage software prototype, expands CyberCANOE system deployment, and connects experts across Cambodia, Laos, Vietnam, and Thailand through the Asi@Connect network.
Real-time hydrological monitoring and flood data visualization across the Lower Mekong Basin with advanced analytics.
Comprehensive landslide risk assessment using 12 key variables and high-resolution geospatial data integration.
Immersive visualization systems enabling collaborative decision-making across multiple locations simultaneously.
Asi@Connect infrastructure facilitating seamless data sharing and knowledge exchange between partner institutions.
Advanced data visualization platform supporting large-screen displays and multi-user collaboration environments.
Comprehensive technical training workshops covering software development, data visualization, and system deployment.
Mahidol University - Lead coordinator and CyberCANOE development hub
Institute of Technology of Cambodia (ITC) - Regional implementation partner
National University of Laos (NUOL) - Data collection and analysis center
Vietnam National University (VNU) - Mekong Basin monitoring specialist
AIST - Advanced technology and research collaboration partner
University of Hawaii - Technical expertise and system development
Four portable visualization systems successfully deployed across partner universities, enabling real-time collaborative disaster monitoring throughout the region.
Redesigned and upgraded LandSage software with integrated datasets, improved UI/UX, and real-time flood and landslide data support for visual analytics.
21 participants received comprehensive hands-on training covering CyberCANOE hardware, SAGE2 development, and geospatial visualization techniques.
Developed and applied standardized templates for collecting 12 landslide-related variables and 3 flood indicators across all pilot sites.
Established robust data-sharing network using Asi@Connect infrastructure, strengthening research and emergency planning cooperation across borders.
Framework established for expanding to new disaster types including public health outbreaks with AI integration for predictive analytics capabilities.