Module #1 Introduction to Geospatial AI and Environmental Risk Assessment Overview of geospatial AI, environmental risk assessment, and their intersection
Module #2 Fundamentals of Geospatial Data Introduction to geospatial data, types, and sources (e.g. remote sensing, GIS)
Module #3 Environmental Risk Assessment Overview Introduction to environmental risk assessment, types of risks, and assessment methods
Module #4 AI and ML Fundamentals for Geospatial Applications Introduction to AI and ML concepts, algorithms, and tools for geospatial applications
Module #5 Geospatial Data Preprocessing for AI Applications Data preparation, cleaning, and preprocessing for geospatial AI applications
Module #6 Geospatial Data Visualization Introduction to geospatial data visualization techniques and tools (e.g. QGIS, ArcGIS, Leaflet)
Module #7 Introduction to Deep Learning for Geospatial Applications Deep learning concepts, architectures, and tools for geospatial applications (e.g. CNNs, RNNs)
Module #8 Land Cover Classification using Geospatial AI Applying geospatial AI to land cover classification using remote sensing data
Module #9 Object Detection and Tracking in Geospatial Data Applying geospatial AI to object detection and tracking in remote sensing and GIS data
Module #10 Geospatial AI for Climate Change Assessment Applying geospatial AI to climate change assessment, mitigation, and adaptation
Module #11 Geospatial AI for Natural Disaster Risk Assessment Applying geospatial AI to natural disaster risk assessment, early warning systems, and response
Module #12 Water Quality Monitoring using Geospatial AI Applying geospatial AI to water quality monitoring, prediction, and management
Module #13 Soil Erosion Prediction using Geospatial AI Applying geospatial AI to soil erosion prediction, monitoring, and conservation
Module #14 Geospatial AI for Biodiversity Conservation Applying geospatial AI to biodiversity conservation, habitat modeling, and species distribution
Module #15 Geospatial AI for Environmental Monitoring Applying geospatial AI to environmental monitoring, pollution detection, and sustainability
Module #16 Uncertainty Quantification in Geospatial AI Quantifying uncertainty in geospatial AI models, predictions, and decision-making
Module #17 Geospatial AI for Infrastructure Planning and Management Applying geospatial AI to infrastructure planning, management, and maintenance
Module #18 Geospatial AI for Urban Planning and Development Applying geospatial AI to urban planning, development, and sustainability
Module #19 Ethics and Bias in Geospatial AI Addressing ethics, bias, and fairness in geospatial AI applications
Module #20 Collaborative Geospatial AI for Multi-Stakeholder Engagement Facilitating collaborative geospatial AI applications for multi-stakeholder engagement
Module #21 Geospatial AI for Policy Development and Decision-Making Applying geospatial AI to policy development, decision-making, and governance
Module #22 Case Studies in Geospatial AI for Environmental Risk Assessment Real-world case studies of geospatial AI applications in environmental risk assessment
Module #23 Hands-on Exercise:Geospatial AI for Land Cover Classification Practical hands-on exercise applying geospatial AI to land cover classification
Module #24 Hands-on Exercise:Geospatial AI for Flood Risk Assessment Practical hands-on exercise applying geospatial AI to flood risk assessment
Module #25 Course Wrap-Up & Conclusion Planning next steps in Geospatial AI for Environmental Risk Assessment career
