Artificial Intelligence in Geospatial Technology

Real-world applications
1. Auflage 2027
ISBN: 978-1-041-23597-2
Verlag: Taylor & Francis Ltd

Buch, Englisch, 352 Seiten, Format (B × H): 156 mm x 234 mm

Reihe: Knowledge-based Engineering for Innovation

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.

Zielgruppe

Academic

Autoren/Hrsg.

Sharma, Lavanya

Garg, Pradeep Kumar

Gupta, Shivam

Inhaltsverzeichnis

Section I: Fundamentals and Emerging Trends Chapter 1: A Geospatial Technology from Paper to AI: Foundations, Evolution and the Rise of Smart Maps Chapter 2: Practices and Standards for Geospatial Data Sources and Management Chapter 3: Free Geospatial Data and FOSS: Democratizing Spatial Intelligence SECTION II Geospatial Technology Tools and Technologies Chapter 4: LiDAR, Photogrammetry, and Satellite Images: Revolutionizing High-Resolution Mapping Chapter 5: Various LiDAR Systems from Ground Based to Air-Based to Wearable Sensors for Geospatial Data Collection Chapter 6: The Role of GNSS/GPS in Smart Geospatial Solutions Chapter 7: Geospatial Internet of Things (GeoIoT): Smart Sensing and Data Integration Chapter 8: Literature Review on Wireless Cellular Network-Based UAV Base Station Behind ICT Generation Evolution Chapter 9: Design and Development of a GPS-Based Intelligent Geospatial Decision Support System for Smart Tourism Destinations SECTION III Industry-Specific Applications, Challenges, and Future Directions Chapter 10: BIM and GIS Integration: Transforming Construction and Infrastructure Management Chapter 11: Geospatial Applications in Disaster Management and Emergency Response  Chapter 12: Graph Based Neural Networks Moving Object Segmentation in Geospatial Science Chapter 13: Cybersecurity and Privacy Concerns in Smart Geospatial Applications Chapter 14: Cybersecurity and Privacy Concerns in Smart Geospatial ApplicatioChapter 15: An Automated Detection of Moving Objects in GIS Applications Chapter 16: The Era of Smart Maps Using Geospatial Technology  Chapter 17: AI Enabled Geospatial Monitoring Technique for On-Board Housekeeping Services in Railways System Chapter 18: Challenges and Future of Smart Geospatial Technologies

Über Autor(innen)

Dr. Lavanya Sharma received her Ph.D. (Computer Science) from Uttarakhand Technical University (State Government University), India in 2018, in the area of Image Processing & Computer Vision. She also received TEQIP scholarship for the same. She received her M.Tech (Computer Science) in 2013 from Maharshi Dayanand University, Haryana, India. She is currently working in NDIM as an Assistant Professor, Senior Research Team member. A certified professional 20 professional certificates. She is recipient of several prestigious awards and qualified certification courses from IIRS, ISRO Dehradun unit, India. She has 4 patents, 8 books (Authored & Edited) and over 70 research articles to her credit. Also acted as Organizing Committee Member, conference chair & Reviewer, in International conferences and Journal. She has developed various new courses and practical exercises in Computer Science Eng. Besides, supervising a large number of UG projects, she has guided more than 50 PG projects. She also acted as Examiner, Paper Setter of different universities in India. Her vision is to promote teaching & research, providing a highly competitive and productive environment in academic and research areas. Her primary research interests are Digital Image Processing and Computer Vision, Artificial Intelligence, Machine learning, deep learning, Internet of Things, Remote Sensing & GIS. Her vision is to promote teaching & research, providing a highly competitive and productive environment in academic and research areas with tremendous growing opportunities for the society and her country.

https://www.researchgate.net/profile/Lavanya-Sharma-5

https://scholar.google.com/citations?user=TqVT0B4AAAAJ&hl=en  Prof. P.K. Garg worked as a Vice Chancellor, Uttarakhand Technical University, Dehradun. Presently he is working in the Department of Civil Engineering, IIT Roorkee as an Emeritus Fellow. He has completed B.Tech (Civil Engg.) in 1980 and M.Tech (Civil Engg) in 1982 both from the University of Roorkee. He is a recipient of Gold Medal at IIT Roorkee to stand first during M.Tech programme, Commonwealth Scholarship Award for doing Ph.D. from University of Bristol (UK), and Commonwealth Fellowship Award to carry out PostDoc at University of Reading (UK). He is instrumental in prestigious MHRD funded projects on e-learning; Development of Virtual Labs, Pedagogy and courses under NPTEL. He has served as experts on various national committees, including Ministry of Environment & Forest, EAEC Committee, NBA and Project Evaluation Committee, DST, New Delhi. He has organized 10 conferences, workshop and published over 300 technical papers in conferences and journals. He has undertaken 26 research projects and provided technical services to 83 consultancy projects. He has authored and edited 9 books, guided about 74 M.Tech and 30 Ph.D. thesis and produced 2 technical films on Story of Mapping. Considering the need to train the human resource in the country, he has successfully organized 44 programmes in advanced areas of Photogrammetry, Remote Sensing, GIS and GPS.

Https://Www.Researchgate.Net/Profile/Pradeep-Garg-4

Https://Scholar.Google.Co.In/Citations?User=Ys_F33saaaaj&Hl=En  Shivam Gupta is the Senior Regional Business Manager for the Survey Solutions division at Hexagon Geosystems, leading the Global Sales region in Asia. With a proven track record in business strategy, market expansion, and sales leadership, he drives the growth of Hexagon’s Survey Solutions portfolio, which includes Total Stations, GNSS, Monitoring Solutions, and advanced geospatial software and solutions. Since joining Leica Geosystems in 2014, Shivam has played a pivotal role in shaping product strategy, spearheading business development, and leading high-impact initiatives across product management, division management, sales, marketing, support. His deep industry expertise stems from prior roles in product engineering and applications at Topcon and Nikon, where he gained hands-on experience in geospatial technologies. Shivam holds an Engineering degree in Information Technology, an MBA in Strategy & Marketing from the Indian Institute of Management, Lucknow (India), and has further honed his leadership acumen through the LEAD program at Stanford Graduate School of Business. A strategic thinker and market disruptor, he is passionate about leveraging technology to transform the geospatial industry and drive sustainable business growth.

https://www.linkedin.com/in/beingskg/