Introduction to geospatial technologies, spatial data, GIS concepts, remote sensing basics, and the role of AI in geospatial analysis.
Exercise Files
Introduction to GeoAI and Spatial Intelligence
This topic introduces the integration of Artificial Intelligence with geospatial technologies such as GIS, Remote Sensing, GPS, and satellite imagery. Students learn how spatial data is collected, managed, visualized, and analyzed to understand patterns and relationships on Earth. The module builds foundational knowledge in spatial thinking, geospatial databases, and the role of AI in solving environmental and urban challenges.
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2. Machine Learning for Satellite Image Analysis
This module focuses on applying machine learning techniques to satellite and aerial imagery for automated analysis. Learners explore methods for image classification, feature extraction, Land Use Land Cover (LULC) mapping, and environmental change detection. The topic demonstrates how AI can process large volumes of Earth observation data efficiently for applications in agriculture, forestry, urban growth, and environmental monitoring.
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GeoAI Applications in Climate Change and Disaster Management
his topic examines how GeoAI supports climate resilience and disaster risk reduction. Students learn to use spatial datasets and AI models for flood mapping, drought assessment, heat island analysis, wildfire monitoring, and vulnerability mapping. The module emphasizes real-world applications for sustainable development, emergency response, and environmental decision-making using geospatial intelligence.
Deep Learning and Predictive Spatial Modelling
This advanced topic introduces deep learning techniques such as Convolutional Neural Networks (CNNs) for analyzing satellite and drone imagery. Students learn predictive spatial modelling, object detection, and pattern recognition for applications including smart cities, transportation, biodiversity monitoring, and infrastructure planning. The module highlights the growing role of AI-driven spatial analytics in future geospatial technologies.
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