This book comprises select proceedings of the First International Conference on Geomatics in Civil Engineering (ICGCE 2018). This book presents latest research on applications of geomatics engineering in different domains of civil engineering, like structural engineering, geotechnical engineering, hydraulic and water resources engineering, environmental engineering and transportation engineering. It also covers miscellaneous applications of geomatics in a wide range of technical and societal problems making use of geospatial information, engineering principles, and relational data structures involving measurement sciences. The book proves to be very useful for the scientific and engineering community working in the field of geomatics and geospatial technology.

Computer science provides a powerful tool that was virtually unknown three generations ago. Some of the classical fields of knowledge are geodesy (surveying), cartography, and geography. Electronics have revolutionized geodetic methods. Cartography has faced the dominance of the computer that results in simplified cartographic products. All three fields make use of basic components such as the Internet and databases. The Springer Handbook of Geographic Information is organized in three parts, Basics, Geographic Information and Applications. Some parts of the basics belong to the larger field of computer science. However, the reader gets a comprehensive view on geographic information because the topics selected from computer science have a close relation to geographic information. The Springer Handbook of Geographic Information is written for scientists at universities and industry as well as advanced and PhD students.

This volume constitutes selected papers presented at the 24th Italian Conference on Geomatics and Geospatial Technologies, ASITA 2021, held as five sessions takind place between 1 and 23 July, 2021. Due to the COVID-19 pandemic the conference was held online. The 28 papers were thoroughly reviewed and selected from 139 submissions. They are organized in topical sections on ​remote sensing applications; geomatics and natural hazards; geomatics for cultural heritage and natural resources; sensors performance and data processing; geomatics and land management.

Project Design for Geomatics Engineers and Surveyors, Second Edition, continues to focus on the key components and aspects of project design for geomatics and land surveying projects with the goal of helping readers navigate the priority issues when planning new projects. The second edition includes new materials on surveying and UAV, and it is thoroughly updated to keep current with the recent technology and terminology. The two new chapters capture new developments in the rapidly emerging use of remote sensing and GIS in aerial surveys, mapping, and imaging for small-to-medium scale projects, as well as modern practices and experiences in engineering surveying. 1. Provides a simple guide for geomatics engineering projects using recent and advanced technologies. 2. Includes new content on spatial data collection using GIS, drones, and 3D digital modeling. 3. Covers professional standards, professional and ethical responsibilities, and policy, social, and environmental issues related. 4. Discusses project planning including scheduling and budgeting. 5. Features practical examples with solutions and explains new methods for planning, implementing, and monitoring engineering and mining surveying projects. Undergraduate and graduate students, professors, practicing professionals and surveyors will find this new edition useful, as well as geospatial/geomatics engineers, civil engineers, mining engineers, GIS professionals, planners, land developers, and project managers.

Traditionally, land surveyors experience years of struggle as they encounter the complexities of project planning and design processes in the course of professional employment or practice. Giving beginners a leg up and working professionals added experience, Geomatics Engineering: A Practical Guide to Project Design provides a practical guide to co

As the second volume of the "Digital Oil & Gas Pipeline: Research and Practice" series of monographs, this book introduces the implementation strategies, examples and technical roadmaps of two important aspects of the Digital Oil & Gas Pipeline construction: pipeline real-time data integration and pipeline network virtual reality system. Two example of pipeline real-time data integration are elaborated: integration of pipeline WebGIS (Geographic Information System) and pipeline SCADA (Supervisory Control and Data Acquisition) via OPC (OLE for Process Control) technology, integration of pipeline network virtual reality system and pipeline SCADA via OPC, JNI (Java Native Interface) and SAI (Scene Access Interface). The pipeline network virtual reality system aims for the pipeline virtual expression, interaction, and 3D visual management. It can be used for pipeline route visual design and plan, immersive pipeline industry training, remote visual supervision and control, etc. The implementation details of the pipeline network virtual reality system, including 3D pipeline and terrain modeling with X3D (Extensible 3D) technology, improving large-scene display performance and speed in the network environment using LOD (Level of Detail) technology, interaction of virtual pipeline scenes, and pipeline 3D visual monitoring, are also introduced. The knowledge and experience delivered by this book will provide useful reference for the readers from the industries of oil & gas pipeline, GIS, Virtual Reality, industrial control, etc.

This book presents original, peer-reviewed select articles from the International Conference on Cognitive & Intelligent Computing (ICCIC – 2021), held on December 11–12, 2021, at Hyderabad, India. The proceedings has cutting edge Research outcome related to Machine learning in control applications, Soft computing, Pattern Recognition, Decision Support Systems, Text analytics and NLP, Statistical Learning, Neural Network Learning, Learning Through Fuzzy Logic, Learning Through Evolution (Evolutionary Algorithms), Reinforcement Learning, Multi-Strategy Learning, Cooperative Learning, Planning And Learning, Multi-Agent Learning, Online And Incremental Learning, Scalability Of Learning Algorithms, Inductive Learning, Inductive Logic Programming, Bayesian Networks, Support Vector Machines, Case-Based Reasoning, Multi-Agent Systems, Human–Computer Interaction, Data Mining and Knowledge Discovery, Knowledge Management and Networks, Data Intensive Computing Architecture, Medicine, Health, Bioinformatics, and Systems Biology, Industrial and Engineering Applications, Security Applications, Smart Cities, Game Playing and Problem Solving, Intelligent Virtual Environments, Economics, Business, And Forecasting Applications. Articles in the book are carefully selected on the basis of their application orientation. The content is expected to be especially useful for Professionals, Researchers, Research students working in the area of cognitive and intelligent computing.