This book provides an advanced overview of data acquisition, processing, and analysis using UAVs, LiDAR, GNSS, and 3D/4D GIS. It integrates AI, Blockchain, IoT, robotics, and cloud-native platforms into geospatial workflows for automation, predictive modeling, and real-time decision support. The book covers machine learning for spatial classification, Blockchain for data integrity, and IoT-based sensor networks for scalable geospatial analytics. Emphasis is placed on open-source tools such as QGIS and PostGIS for cost-effective innovation, alongside advanced methods for infrastructure, mobility, and urban lifecycle management. Explains advanced data acquisition with UAVs, LiDAR, and GNSS for precise 3D/4D mapping, AI and ML applications for automated geospatial classification and predictive modeling. Discusses blockchain-enabled security, transparency, and decentralized geospatial transactions and IoT-driven real-time data collection and cloud-based spatial analytics. Includes integration of Digital Twins and BIM for infrastructure and urban management. Coverage of open-source platforms (QGIS, PostGIS, OpenStreetMap) for scalable solutions. Includes case studies and system diagrams demonstrating smart city and industrial applications. This book is for scholars, professionals, GIS analysts, urban planners, data scientists, engineers, researchers, and policymakers seeking expertise in AI-enabled geospatial intelligence and automation.