Research Project

Geo-AI Technology Expansion for Watershed Monitoring to New Regions: Implement Geo-AI technology and watershed monitoring models in partner countries in Southeast Asia and the Pacific, collaborating with research institutions and local governments. Capacity Building for Communities and Local Governments with Geo-AI Technology: Provide training for local communities and stakeholders on using Geo-AI technology for watershed monitoring and climate adaptation strategies. Contribution to IPCC Reports and Global Policies on Watershed and Climate Management using Geo-AI: Contribute data and analysis from Geo-AI-based watershed prediction models for international reports such as IPCC, and formulate data-driven recommendations for climate adaptation policies. Development of Geo-AI-Based Watershed Management Models for Developing Countries: Adapt Geo-AI models and management policies to be implemented in other developing countries with similar ecosystem conditions and climate change challenges.

Geo-AI Simulation of Climate Impact on Watershed Ecosystem Sensitivity: Utilize Geo-AI models to predict the long-term impacts of climate change on watershed ecosystem sensitivity, including the potential increase in disaster frequency and severity. Evaluation and Refinement of Hydrological Models for Climate Resilience: Assess the effectiveness of Geo-AI-based hydrological models in responding to climate change, and refine these models to improve accuracy in predicting watershed water flow patterns. Regional Geo-AI Technology Implementation for Watershed Monitoring: Apply Geo-AI technology for regional watershed monitoring, covering major watersheds in Indonesia and Southeast Asia, including disaster prediction, land degradation, and land cover change monitoring. Implementation of Nature-Based Solutions for Sustainable Watershed Management: Expand the application of Geo-AI-supported nature-based solutions to reduce disaster risks in large watersheds, including forest restoration and reforestation projects in critical areas. Development of Data-Based Policies for Sustainable Watershed Management: Based on socio-economic studies, develop sustainable and equitable watershed management policies that support local economic and social resilience.

Geo-AI Technology Implementation for Spatial-Based Sensitivity Monitoring in Watersheds: Integrate Geo-AI technology, remote sensing, drones, and IoT sensors for periodic sensitivity monitoring of watershed ecosystems, providing real-time data for watershed management. Testing and Validation of Geo-AI-Based Hydrological Models for Climate Adaptation: Utilize long-term climate data and Geo-AI predictive capabilities to validate and refine hydrological prediction models, implementing water adaptation policies based on model findings. Development of Nature-Based Solutions for Disaster Mitigation with Geo-AI Support: Implement nature-based solutions such as erosion control vegetation planting and restoration in flood-prone areas, with Geo-AI support to select the most vulnerable sites. Development of Early Warning Systems for Disaster Risks in Watersheds with Geo-AI: Develop a Geo-AI-based early detection and warning system for flood and wildfire risks, enhancing local community preparedness and disaster response. Advanced Socio-Economic Impact Analysis of Watershed Management: Assess the socio-economic impacts of implemented watershed policies, focusing on economic resilience, livelihoods, and social well-being of communities near watersheds

Baseline Data Collection on Hydrology and Ecosystem in Watersheds: Collect baseline data on surface and subsurface water flows, soil moisture, water quality, and vegetation conditions within watersheds to establish ecosystem benchmarks. Use spatial analysis and remote sensing technology to map sensitive areas in watersheds and identify regions vulnerable to environmental and climate changes. Disaster Risk Mapping in Watersheds with Geo-AI Technology: Apply Geo-AI technology for disaster risk mapping, such as floods and landslides, with large-scale geospatial data analysis. Focus on developing soil and water conservation techniques as initial risk mitigation measures. Hydrological Modeling for Climate Adaptation in Watersheds: Develop hydrological models predicting water flow patterns under different climate scenarios, assisted by Geo-AI for large data processing and long-term predictions. Development of Geo-AI Technology Platform for Watershed Monitoring: Design a Geo-AI and big data-based platform for real-time watershed condition monitoring, providing accessible data for researchers and policymakers. Initial Social-Economic Impact Analysis of Watershed Management: Conduct preliminary studies on community dependency on watershed water resources, and land-use patterns affecting local food security and economy.