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.

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.