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Geo-Informatics integrates science, engineering, and information technology for managing spatial and geographic data. It is vital for civil engineering applications such as surveying, planning, and environmental monitoring. The chapter discusses its key concepts, technologies, and applications while highlighting the challenges and future prospects in this rapidly evolving field.
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1.8.1
Integration With Artificial Intelligence And Machine Learning
This section discusses the integration of Artificial Intelligence (AI) and Machine Learning (ML) within Geo-Informatics, emphasizing their applications in image classification, urban growth prediction, and traffic modeling.
References
Chapter_1_Introd.pdfClass Notes
Memorization
What we have learnt
Final Test
Revision Tests
Term: GeoInformatics
Definition: An interdisciplinary field combining science, engineering, and IT to manage spatial data.
Term: GIS (Geographic Information System)
Definition: A system designed to capture, store, manipulate, analyze, manage, and present spatial or geographic data.
Term: GNSS (Global Navigation Satellite System)
Definition: Satellite-based navigation and positioning technology, including systems like GPS.
Term: Remote Sensing
Definition: The acquisition of information about an object or phenomenon without making physical contact.
Term: UAVs (Unmanned Aerial Vehicles)
Definition: Drones used for capturing high-resolution spatial data.
Term: Spatial Data Infrastructure (SDI)
Definition: A framework for sharing and using geospatial data effectively.