Spatial AI and Remote Sensing for Urban Heat Islands and Green Infrastructure Planning Training Course

Introduction

Combat the growing urban climate crisis with the Spatial AI and Remote Sensing for Urban Heat Islands and Green Infrastructure Planning Training Course. As cities continue to experience rising temperatures due to rapid urbanization and diminishing green cover, spatial artificial intelligence (AI) combined with remote sensing becomes an essential tool for sustainable urban design. This course equips professionals with the skills to detect, analyze, and mitigate urban heat islands (UHI) using cutting-edge geospatial technologies.

Participants will learn to map heat intensity, identify vulnerable zones, and design green infrastructure interventions such as green roofs, tree canopies, and cooling corridors. By the end of the training, participants will be able to integrate AI models with satellite and UAV data to build resilient and livable cities.

Target Audience

• Urban Planners and City Managers
• Environmental and Climate Change Specialists
• GIS and Remote Sensing Professionals
• Landscape Architects and Urban Designers
• Smart City Project Developers
• Researchers and Data Scientists in Urban Resilience
• Sustainability Consultants and Engineers

Duration

10 Days

Course Objectives

1. Understand the science and impact of urban heat islands
2. Use satellite and drone data to detect urban thermal patterns
3. Apply spatial AI for automated UHI hotspot detection
4. Map green infrastructure and ecosystem services in cities
5. Integrate remote sensing data into urban climate modeling
6. Plan urban greening strategies for heat mitigation
7. Develop spatial dashboards to support climate-smart cities
8. Implement sustainable policy recommendations using geospatial evidence

Course Content

Module 1: Urban Heat Islands and Climate Resilience

• Definition and causes of UHI
• Environmental and health impacts
• Key UHI indicators and spatial characteristics
• Global examples of urban heat adaptation
• Policy frameworks for heat resilience

Module 2: Thermal Remote Sensing for Urban Temperature Mapping

• Satellite sensors for thermal imaging (Landsat, MODIS, ECOSTRESS)
• Image preprocessing and LST (Land Surface Temperature) extraction
• UAV thermal data acquisition and calibration
• Time-series thermal data analysis
• Urban-rural temperature gradient analysis

Module 3: AI-Based Detection of Urban Heat Hotspots

• Supervised and unsupervised thermal classification
• AI models for hotspot clustering and ranking
• Integrating spectral indices (NDVI, NDBI) for interpretation
• Automating heat vulnerability assessment
• Accuracy assessment and model validation

Module 4: Mapping Urban Green Infrastructure and Cooling Potential

• Green cover classification using multispectral data
• Tree canopy mapping and green roof detection
• Calculating cooling effects using LST and NDVI
• Green corridors and permeability analysis
• Spatial prioritization for greening interventions

Module 5: Planning Tools for Climate-Smart Urban Design

• GIS-based site suitability analysis for green projects
• Spatial zoning for UHI mitigation
• Blue-green infrastructure integration
• Urban planning scenarios using geospatial tools
• Cost-benefit analysis of nature-based solutions

Module 6: Geospatial Data Integration and Visualization

• Combining satellite, drone, and IoT sensor data
• Working with Google Earth Engine and QGIS
• Dashboard creation for decision support
• Story maps and spatial narratives for stakeholder engagement
• Heat exposure risk mapping for communities

Module 7: Monitoring and Evaluating Urban Heat Reduction Strategies

• Post-intervention thermal analysis
• Impact metrics and monitoring frameworks
• Community-based mapping and participatory GIS
• Citizen science for UHI mapping
• Reporting outcomes to policy stakeholders

Module 8: Capstone Project on Urban Heat Mitigation Planning

• Identify a real or simulated urban heat challenge
• Analyze spatial data and propose interventions
• Design a spatial AI solution and present outputs
• Develop a climate adaptation proposal
• Peer review and expert feedback

General remarks

• Customizable courses are available to address the specific needs of your organization.
• The participant must be conversant in English
• Participants who successfully complete this course will receive a certificate of completion from Lenol Development Center.
• The course fee for onsite training includes facilitation training materials, tea break and lunch.
• Accommodation and airport pick up are made upon request
• For any inquiries reach us through info@lenoldevelopmentcenter.com or +254 710 314 746
• Payment should be made to our bank