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Geomatics is a neologism, the use of which is becoming increasingly widespread, even if it is not still universally accepted. It includes several disciplines and te- niques for the study of the Earth’s surface and its environments, and computer science plays a decisive role. A more meaningful and appropriate expression is G- spatial Information or GeoInformation. Geo-spatial Information embeds topography in its more modern forms (measurements with electronic instrumentation, sophisticated techniques of data analysis and network compensation, global satellite positioning techniques, laser scanning, etc.), analytical and digital photogrammetry, satellite and airborne remote sensing, numerical cartography, geographical information systems, decision support systems, WebGIS, etc. These specialized elds are intimately interrelated in terms of both the basic science and the results pursued: rigid separation does not allow us to discover several common aspects and the fundamental importance assumed in a search for solutions in the complex survey context. The objective pursued by Mario A. Gomarasca, one that is only apparently modest, is to publish an integrated text on the surveying theme, containing simple and comprehensible concepts relevant to experts in Geo-spatial Information and/or speci cally in one of the disciplines that compose it. At the same time, the book is rigorous and synthetic, describing with precision the main instruments and methods connected to the multiple techniques available today.
Surveying with Geomatics and R This book explains basic concepts of surveying science and techniques with geomatics using R software and R packages. It engages students in learning about surveying through real field examples and using differing degrees of complexity while exploring surveying problems based on field observations and advanced geospatial technology. It includes a wide range of case studies as hands-on and self-paced tutorials along with detailed computer programming routines that are linked to the theories and applications explained in each chapter. This innovative textbook also teaches how to explore other possibilities of using geomatics in geocomputation, remote sensing, geography and cartography courses focused on surveying tasks. Features include: Provides modern surveying practices with free software algorithm and R toolset for active learning Includes case studies from different geographical areas using arbitrary and international cartographic reference systems Enables and demonstrates the integration of traditional geomatics with modern geospatial big data technologies Explains data standards, equipment used, possible analyses and the importance of error evaluation for scientific surveying Discusses different scales of landscapes and brings together the experiences of leading experts in the field
This state-of-the-art exploration of the theory and applications of geometrics recognizes the expansion and advances in the fieldandthe broadening of the allied disciplines that have a direct interest in the newest technological approaches to geo-data collection, processing, analysis, management, and presentation. Exceptionally well-written by a teacher/surveyor manager with many years of experience, it provides a comprehensiveinsider'sview of what's important, what works, and how it all fits together. Divided into three parts—Fundamentals, Remote Sensing, and Engineering Applications—it covers both traditional topics in surveying and the more recently developed topics in geographic information systems (GIS), global positioning (GPS) and airborne imagery, together with satellite imagery (remote sensing)—all with a focus on applications of interest to the fields of in civil, surveying, and geological engineering, physical geography, environmental, natural resources, etc. Features an appendix of 11 field projects involving the fundamentals of taping, leveling, and angle acquisition, and applications in data gathering, stake-outs for buildings, curves, and pipelines.An Introduction to Geometrics. Distance Measurement—Taping. Electronic Distance Measurement (EDM). Leveling. Angles and Directions. Transits/Theodolites. Traverse Surveys. Electronic Surveying Measurements. Topographic Surveying and Mapping. Geogramic Information Systems (GIS). Global Positioning Systems (GPS). Control Surveys. Land Surveying. Airborne Imagery. Satellite Imagery. Highway Curves. Construction Surveying.For anyone interested in the state-of-the-art theory and applications of Geomatics/Surveying.
Geomatics, the handling and processing of information and data about the Earth, is one geoscience discipline that has seen major changes in the last decade, as mapping and observation systems become ever more sensitive and sophisticated. This book is a unique and in-depth survey of the field, which has a central role to play in tackling a host of environmental issues faced by society. Covering all three strands of geomatics - applications, information technology and surveying - the chapters cover the history and background of the subject, the technology employed both to collect and disseminate data, and the varied applications to which geomatics can be put, including urban planning, assessment of biodiversity, disaster management and land administration. Relevant professionals, as well as students in a variety of disciplines such as geography and surveying, will find this book required reading. This rapidly developing field uses increasingly complex and accurate systems. Today, technology enables us to capture geo-data in full 3D as well as to disseminate it via the Web at the speed of light. We are able to continuously image the world from space at resolutions of up to 50 cm. Airborne LiDAR (laser surveying) sensors can be combined with digital camera technology to produce geometrically correct images of the Earth's surface, while integrating these with large-scale topographic maps and terrestrial as well as aerial images to produce 3D cityscapes that computer users can explore from their desktops.
Introduction to Geometrical and Physical Geodesy: Foundations of Geomatics explores geodesy, the discipline dealing with the measurement and representation of the earth. Establishing GIS as a coordinate-based system, and building on this concept, the book culminates in the reader's applied knowledge of geodesy. To simplify presentation, mathematics in this book are discussed without origin or proof, and all formulas have detailed examples illustrating their use. Intended for the classroom or professional reference, Introduction to Geometrical and Physical Geodesy: Foundations of Geomatics simplifies the geodesic formulas related to surveying, making it a practical approach to geodesy and GIS.
Updated throughout, this highly readable best-seller presents basic concepts and practical material in each of the areas fundamental to modern surveying (geomatics) practice. Its depth and breadth are ideal for self-study. KEY TOPICS: Includes new discussions on the impact of the new L2C and L5 signals in GPS and on the effects of solar activity in GNSS surveys. Other new topics include an additional method of computing slope intercepts; an introduction to mobile mapping systems; 90% revised problems; and new Video Solutions. MARKET: A useful reference for civil engineers
Provides a modern approach to least squares estimation and data analysis for undergraduate land surveying and geomatics programs Rich in theory and concepts, this comprehensive book on least square estimation and data analysis provides examples that are designed to help students extend their knowledge to solving more practical problems. The sample problems are accompanied by suggested solutions, and are challenging, yet easy enough to manually work through using simple computing devices, and chapter objectives provide an overview of the material contained in each section. Understanding Least Squares Estimation and Geomatics Data Analysis begins with an explanation of survey observables, observations, and their stochastic properties. It reviews matrix structure and construction and explains the needs for adjustment. Next, it discusses analysis and error propagation of survey observations, including the application of heuristic rule for covariance propagation. Then, the important elements of statistical distributions commonly used in geomatics are discussed. Main topics of the book include: concepts of datum definitions; the formulation and linearization of parametric, conditional and general model equations involving typical geomatics observables; geomatics problems; least squares adjustments of parametric, conditional and general models; confidence region estimation; problems of network design and pre-analysis; three-dimensional geodetic network adjustment; nuisance parameter elimination and the sequential least squares adjustment; post-adjustment data analysis and reliability; the problems of datum; mathematical filtering and prediction; an introduction to least squares collocation and the kriging methods; and more. Contains ample concepts/theory and content, as well as practical and workable examples Based on the author's manual, which he developed as a complete and comprehensive book for his Adjustment of Surveying Measurements and Special Topics in Adjustments courses Provides geomatics undergraduates and geomatics professionals with required foundational knowledge An excellent companion to Precision Surveying: The Principles and Geomatics Practice Understanding Least Squares Estimation and Geomatics Data Analysis is recommended for undergraduates studying geomatics, and will benefit many readers from a variety of geomatics backgrounds, including practicing surveyors/engineers who are interested in least squares estimation and data analysis, geomatics researchers, and software developers for geomatics.
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
Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data, including those with scientific, societal, and environmental implications. This book will interest people from many backgrounds, especially Geographic Information Systems (GIS) users interested in applying their domain-specific knowledge in a powerful open source language for data science, and R users interested in extending their skills to handle spatial data. The book is divided into three parts: (I) Foundations, aimed at getting you up-to-speed with geographic data in R, (II) extensions, which covers advanced techniques, and (III) applications to real-world problems. The chapters cover progressively more advanced topics, with early chapters providing strong foundations on which the later chapters build. Part I describes the nature of spatial datasets in R and methods for manipulating them. It also covers geographic data import/export and transforming coordinate reference systems. Part II represents methods that build on these foundations. It covers advanced map making (including web mapping), "bridges" to GIS, sharing reproducible code, and how to do cross-validation in the presence of spatial autocorrelation. Part III applies the knowledge gained to tackle real-world problems, including representing and modeling transport systems, finding optimal locations for stores or services, and ecological modeling. Exercises at the end of each chapter give you the skills needed to tackle a range of geospatial problems. Solutions for each chapter and supplementary materials providing extended examples are available at https://geocompr.github.io/geocompkg/articles/. Dr. Robin Lovelace is a University Academic Fellow at the University of Leeds, where he has taught R for geographic research over many years, with a focus on transport systems. Dr. Jakub Nowosad is an Assistant Professor in the Department of Geoinformation at the Adam Mickiewicz University in Poznan, where his focus is on the analysis of large datasets to understand environmental processes. Dr. Jannes Muenchow is a Postdoctoral Researcher in the GIScience Department at the University of Jena, where he develops and teaches a range of geographic methods, with a focus on ecological modeling, statistical geocomputing, and predictive mapping. All three are active developers and work on a number of R packages, including stplanr, sabre, and RQGIS.
The applications of geomatics technology in its broader context have resulted in significant progress in the field of earth science. This book provides brief coverage on some trends in geomatics technology as it relates to earth scientists. The development in geomatics, whether GIS, remote sensing, GPS or photogrammetry, can be seen from trends in the applications of Big Data, Smart City, Internet of Things (IoT), the use of augmented reality and utilization of unmanned aerial vehicles (UAVs) and in the impact of machine learning and AI on geomatics.