GeoAI & IoT Foundations
Models, Architectures, and Platforms for Urban-Scale Intelligence
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Beschreibung
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.
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.
Presents deployable GeoAI–IoT workflows linking sensing, analytics, and decisions Offers digital twins and aerial vision for climate resilience and infrastructure Provides scalable platforms for emissions, air quality, energy, and mobility
Autor*in
Ram Narayan Yadava
Themen in »GeoAI & IoT Foundations«
GeoAI Internet of things Digital twins 3D city modelling Infrastructure modelling Aerial imagery Air quality management