GeoAI & IoT Foundations

Models, Architectures, and Platforms for Urban-Scale Intelligence
Erscheinungsjahr 2027
ISBN: 978-3-032-31207-5
Verlag: Springer Nature Switzerland AG

Buch, Englisch, 483 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Advances in Geographic Information Science

The contributed volume assembles GeoAI, IoT, and urban digital twins into a practical playbook spanning five areas: urban climate intelligence; infrastructure monitoring; energy and buildings; emissions and bio-monitoring; and intelligent mobility. Chapters demonstrate how 3D city models and GeoAI inform heat-resilient design, and how UAV and aerial vision paired with scalable deep learning support structural, pipeline, and railway surveillance. Edge-ready systems show how sensing connects to analytics for operational use.

Other contributions address kinetic façade optimization, solar-farm reliability, and communication of industrial hazards. Bottom-up methods estimate CO2 from buildings and transport, while geospatial platforms track air quality and ecological indicators. The final section integrates acoustic and visual data for traffic and emergency detection alongside autonomous construction and heavy-vehicle monitoring.

The book prioritizes reproducible workflows, rigorous evaluation, and clear governance pathways that cities, utilities, and environmental authorities can scale to improve resilience, cut emissions, and deliver safer urban services.

Zielgruppe

Research

Autoren/Hrsg.

Yadava, Ram Narayan

Ujang, Uznir

Fachgebiete

• Geowissenschaften Geographie | Raumplanung Geodäsie, Kartographie, GIS, Fernerkundung
• Geowissenschaften Geologie GIS, Geoinformatik
• Geowissenschaften Geographie | Raumplanung Geographie: Allgemeines, Karten & Atlanten

Inhaltsverzeichnis

Part 1: Introduction.- Chapter 1: GeoAI and IoT For Urban-Scale Intelligence and Resilience.- Part 2: Climate & Heat Resilience.- Chapter 2:  A Review of Advances In Urban Heat Island Analysis Through 3d City Modelling And Geoai.- Chapter 3: City Intelligence For Heat-Resilient Urban Design: Fusing Multisource Thermal Sensing, 3-D Modelling, and Green Infrastructure Analytics.- Chapter 4: Toward Climate-Resilient Cities: Data-Driven Environmental Surveillance and Adaptive Planning.- Chapter 5: Resilient Futures: Harnessing 3D City Modelling, IoT, and AI For Climate-Smart Urban Systems.- Part 3: Aerial/UAV & Vision-Based Infrastructure Monitoring.- Chapter 6: Balancing Speed And Accuracy In Urban Infrastructure Monitoring Via Cornernet Vs. Detnet-59.- Chapter 7: A Scalable Deep Learning-Based Approach For Structural Damage Assessment In Sustainable Cities.- Chapter 8: Enhancing Pipeline Resilience In Smart Cities with AI-Powered Aerial Surveillance.- Chapter 9: Intelligent Railway Monitoring In Smart Cities Using UAV Imagery and Object Detection Algorithms.- Part 4: Energy, Buildings & Industrial Systems.- Chapter 10: Smart Control of Kinetic Facades Using Nsga-Iii and Deep Rein-forcement Learning: A Data-Driven Approach For Energy And Comfort.- Chapter 11: Improving Solar Farm Reliability Through Multi-Modal Aerial Imaging and Deep Fault Analytics.- Chapter 12: When Natural Hazards Turn Refineries Into Risk Sources: Storytelling With LLMs For Communicating NaTech Risks.- Part 5: Emissions, Air Quality & Environmental/Bio Monitoring.- Chapter 13:  A Bottom-Up Estimation of Urban CO2 Emissions Using 3D City Models and Human Mobility Data.- Chapter 14:  Smart System For Tracking Air Pollution Over India Using Geospatial Platforms.- Part 6: Intelligent Mobility, Traffic and Emergency Response.- Chapter 15: Enhanced Yolov8-Based Detection For Autonomous Construction Machinery In Smart City Environments.- Chapter 16: Edge-Ready Detection of Heavy Vehicles: Benchmarking Deep Models For Intelligent Traffic Systems.- Chapter 17: Multimodal Emergency Vehicle Detection For Smart Urban Mobility Through Fusing Acoustic And Visual Intelligence.- Part 7: Updates, Conclusion and Recommendations.- Chapter 18: A Playbook For Climate-Ready and Sensor-Driven Cities.

Über Autor(innen)

Prof. Ram Narayan Yadava is Advisor for Research & International Affairs at Mansarovar Global University, India. He has served as founding Vice Chancellor of AISECT University and has been instrumental in the establishment of Advanced Materials and Processes Research Institute (AMPRI) under CSIR, India. His expertise spans hydrologic modeling, environmental quality, water resources, and R&D management. Prof. Yadava has led multiple research projects in water resources, environment, remote sensing, mathematical modeling, and technology forecasting. He has published over 100 journal articles, four textbooks, and 16 edited reference books. Recognized for his contributions to water and environmental sciences, he has delivered invited lectures across numerous international institutions. He is also President of the Intellectual's Association of Water, Environment, Energy, and Society (IAWEES).   Prof. Muhamad Uznir Ujang is Associate Professor and Head of the 3D GIS Research Group at Universiti Teknologi Malaysia (UTM). A leading expert in spatial science, he specializes in 3D City Modeling, 3D GIS, smart cities, topology, and spatial data structures. He has played a key role in research and development related to 3D city modeling and geospatial technologies. Prof. Uznir has authored over 100 scientific publications and holds 24 intellectual properties, including patents and copyrights. He is an active member of several professional organizations, including the Malaysia Board of Technologists (MBOT), Royal Institution of Surveyors Malaysia (RISM), and the International Society of Photogrammetry and Remote Sensing (ISPRS). His research integrates 3D city modeling, artificial intelligence, and geospatial analytics, contributing to smart city innovations.