📅 Day 1: Foundations of AI for Urban Analytics and Smart Cities
- Introduction to urban analytics and data-driven city planning
- Understanding smart cities and climate-responsive urban development
- Role of AI in urban heat mapping, mobility analytics, land-use intelligence, and climate adaptation
- Understanding urban datasets: satellite imagery, land use, road networks, population, mobility, and environmental indicators
- Basics of geospatial thinking for city-scale analysis
- Introduction to urban heat island effects and climate vulnerability in cities
- Developing a basic urban analytics framework for planning and sustainability decisions
🛠️ Hands-on:
- Hands-on 1: Urban Data Mapping and Indicator Matrix Preparation
- Hands-on 2: Basic City Map Visualization using QGIS
🧰 Tools Covered: QGIS, Python, Google Earth Engine, Google Sheets
📅 Day 2: Urban Heat Mapping and Land-Use Intelligence
- Understanding urban heat islands and their impact on climate resilience
- Introduction to satellite-based urban analysis using Google Earth Engine
- Working with land surface temperature, vegetation cover, built-up area, and land-use indicators
- Using Python for basic geospatial and urban data analysis
- Identifying heat-prone zones and climate-vulnerable urban areas
- Understanding land-use intelligence for sustainable planning
- Interpreting urban heat and land-use patterns for climate adaptation strategies
🛠️ Hands-on:
- Hands-on 1: Urban Heat Mapping using Google Earth Engine
- Hands-on 2: Land-Use and Climate Indicator Analysis using Python / QGIS
🧰 Tools Covered: Google Earth Engine, Python, QGIS, Google Colab
📅 Day 3: Mobility Analytics and Climate-Responsive Planning Dashboards
- Introduction to mobility analytics for smart city planning
- Understanding movement patterns, accessibility, congestion, and urban service reach
- Using Kepler.gl for interactive mobility and spatial data visualization
- Connecting heat, land use, and mobility indicators for climate-responsive planning
- Designing urban planning dashboards for decision-making
- Scenario thinking for climate adaptation: green cover, cool roofs, transit access, and walkability
- Preparing a final urban analytics workflow for research, policy, or professional planning use
🛠️ Hands-on:
- Hands-on 1: Mobility and Urban Pattern Visualization using Kepler.gl
- Hands-on 2: Mini Project: Climate-Responsive Urban Analytics Dashboard
🧰 Tools Covered: Kepler.gl, QGIS, Python, Google Earth Engine
