Shellito's Discovering GIS and ArcGIS Pro provides students with hands-on work with GIS software, while explaining the "how" and "why" behind each application. Software changes quickly-the theory has a longer shelf life. The goal of Discovering GIS and ArcGIS Pro is to teach students how to combine GIS concepts with ArcGIS Pro software skills, preparing students for successful careers in the real world. Each chapter focuses on using a variety of ArcGIS tools in a real-world context. At the start of each chapter, a scenario puts the student in a particular role with a number of tasks to accomplish.

This book addresses opportunities for observation of earth surface processes using remote sensing from space. It should provide a data source for scientists studying global change. The challenges created by global environmental change demand research approaches that are worldwide in scope and interdisciplinary in application. This book is a response to the need for the interchange of ideas and experiences between researchers from those sciences studying the land surface of the earth, its form, and features, and remote sensing specialists. It is founded on the premise that attention should focus on the analysis of specific components of the earth system and on the synthesis of the findings of individual disciplines in terms of how the earth and its atmosphere function as an open system. Earth system science aims to identify how this system changes (both over human and geological timescales) and how such changes can be predicted. Reliable prediction requires scientific understanding, which in turn requires models, theories and data. Remote sensing is capable of providing such data on appropriate temporal and spatial scales.

A temporal GIS is an information system designed to describe spatial change over time. As yet, there are no temporal GISs, although the seeds exist. This book examines the conceptual, logical and physical design of a temporal GIS. It provides a broad survey of research on spatiotemporality, the philosophy of time, temporal databases and spatial data structuring. The book also describes an investigation of spatiotemporal data structuring and accessing possibilities.

When we look at some of the most pressing issues in environmental politics today, it is hard to avoid data technologies. Big data, artificial intelligence, and data dashboards all promise "revolutionary" advances in the speed and scale at which governments, corporations, conservationists, and even individuals can respond to environmental challenges. By bringing together scholars from geography, anthropology, science and technology studies, and ecology, The Nature of Data explores how the digital realm is a significant site in which environmental politics are waged. This collection as a whole makes the argument that we cannot fully understand the current conjuncture in critical, global environmental politics without understanding the role of data platforms, devices, standards, and institutions. In particular, The Nature of Data addresses the contested practices of making and maintaining data infrastructure, the imaginaries produced by data infrastructures, the relations between state and civil society that data infrastructure reworks, and the conditions under which technology can further socio-ecological justice instead of re-entrenching state and capitalist power. This innovative volume presents some of the first research in this new but rapidly growing subfield that addresses the role of data infrastructures in critical environmental politics.

Since the publication of Jerlov's classic volume on optical oceanography in 1968, the ability to predict or model the submarine light field, given measurements of the inherent optical properties of the ocean, has improved to the point that model fields are very close to measured fields. In the last three decades, remote sensing capabilities have fostered powerful models that can be inverted to estimate the inherent optical properties closely related to substances important for understanding global biological productivity, environmental quality, and most nearshore geophysical processes. This volume presents an eclectic blend of information on the theories, experiments, and instrumentation that now characterize the ways in which optical oceanography is studied. Through the course of this interdisciplinary work, the reader is led from the physical concepts of radiative transfer to the experimental techniques used in the lab and at sea, to process-oriented discussions of the biochemical mechanisms responsible for oceanic optical variability. The text will be of interest to researchers and students in physical and biological oceanography, biology, geophysics, limnology, atmospheric optics, and remote sensing of ocean and global climate change.

This proceedings book presents the first-ever cross-disciplinary analysis of 16th-20th century South, East, and Southeast Asian cartography. The central theme of the conference was the mutual influence of Western and Asian cartographic traditions, and the focus was on points of contact between Western and Asian cartographic history. Geographically, the topics were limited to South Asia, East Asia and Southeast Asia, with special attention to India, China, Japan, Korea and Indonesia. Topics addressed included Asia's place in the world, the Dutch East India Company, toponymy, Philipp Franz von Siebold, maritime cartography, missionary mapping and cadastral mapping.

Many disciplines are concerned with manipulating geometric (or spatial) objects in the computer - such as geology, cartography, computer aided design (CAD), etc. - and each of these have developed their own data structures and techniques, often independently. Nevertheless, in many cases the object types and the spatial queries are similar, and this book attempts to find a common theme.

Based on the experiences of the Department of Information Engineering of the University of Pisa and the Radar and Surveillance System (RaSS) national laboratory of the National Interuniversity Consortium of Telecommunication (CNIT), Radar Imaging for Maritime Observation presents the most recent results in radar imaging for maritime observation. The book explores both the areas of sea surface remote sensing and maritime surveillance providing key theoretical concepts of SAR and ISAR imaging and more advanced and ad-hoc techniques for applications in maritime scenarios. The book is organized in two sections. The first section discusses the fundamentals of standard SAR/ISAR processing and novel imaging techniques, such as Bistatic, Passive, and, 3D Interferometric ISAR. The second section focuses on the applications and results obtained by processing real data from maritime observations like SAR image processing for oil spill, detection in SAR images and fractal analysis. Useful to both beginners and experts in maritime observation, this book provides several examples of (mainly space-borne) radar imaging of maritime targets. Nevertheless, the same principles and techniques apply to the case of manned or unmanned carriers and to ground and air moving targets.

Remote sensing has witnessed a renaissance as new sensor systems, data collection capabilities and image processing methodologies have expanded the technological capabilities of this science into new and important applications areas. Perhaps nowhere has this trend been more evident than in the study of earth environments. Within this broad application area remote sensing has proven to be an invaluable asset supporting timely data gathering at a range of synoptic scales, facilitating the mapping of complex landscapes and promoting the analysis of environmental process. Yet remote sensing s contribution to the study of human/environmental interaction is scattered throughout a rich and diverse literature spanning the social and physical sciences, which frustrates access to, and the sharing of the knowledge gained through, these recent advances, and inhibits the operational use of these methods and techniques in day to day environmental practice, a recognized gap that reduces the effectiveness of environmental management programs. The objective of this book is to address this gap and provide the synthesis of method and application that is currently missing in the environmental science, re-introducing remote sensing as an important decision-support technology.

As hyperspectral sensors, soft image classification strategies, nano- satellites, sensor webs and a myriad of other exciting technologies emerge from the research laboratories, a need exists to assemble the relevant principles, methods and proven applications into a focused discussion centered on environmental problem solving. In many ways, placing remote sensing more clearly into a problem-specific context moves us beyond the traditions commonly found in introductory textbooks and demonstrates the benefits that can be derived from this dynamic information technology.

This book expands on the material that would be the subject matter common to an introductory textbook in remote sensing by offering a more directed focus complemented by the theory and methods germane to the analysis and assessment of environment qualities and process.

*The leading text, fully revised and updated--60% new material includes 3 new chapters and changes throughout. *Now in full color, and featuring over 400 figures, with hundreds new to this edition. *Concise, modular chapters allow instructors to easily match assignments to their course plans. *From an award-winning, leading authority. *Includes case examples and applications from the U.S. and worldwide.

Offers New Insight on Uncertainty Modelling Focused on major research relative to spatial information, Uncertainty Modelling and Quality Control for Spatial Data introduces methods for managing uncertainties-such as data of questionable quality-in geographic information science (GIS) applications. By using original research, current advancement, and emerging developments in the field, the authors compile various aspects of spatial data quality control. From multidimensional and multi-scale data integration to uncertainties in spatial data mining, this book launches into areas that are rarely addressed. Topics covered include: New developments of uncertainty modelling, quality control of spatial data, and related research issues in spatial analysis Spatial statistical solutions in spatial data quality Eliminating systematic error in the analytical results of GIS applications A data quality perspective for GIS function workflow design Data quality in multi-dimensional integration Research challenges on data quality in the integration and analysis of data from multiple sources A new approach for imprecision management in the qualitative data warehouse A multi-dimensional quality assessment of photogrammetric and LiDAR datasets based on a vector approach An analysis on the uncertainty of multi-scale representation for street-block settlement Uncertainty Modelling and Quality Control for Spatial Data serves university students, researchers and professionals in GIS, and investigates the uncertainty modelling and quality control in multi-dimensional data integration, multi-scale data representation, national or regional spatial data products, and new spatial data mining methods.

In geomorphology, landform inheritance refers to the inherited relationship of different landform morphologies in a certain area during the evolutionary process. This book studies loess landform inheritance based on national basic geographic data and GIS spatial analysis method. It reveals the Loess Plateau formation mechanism and broadens the understanding of spatial variation pattern of loess landform in the Loess Plateau.

Providing an introduction to the crucially important topic of groundwater, this text covers all major fields of hydrogeology and includes outlines of the occurrence of groundwater in various rock types, the movement and storage of groundwater, the formulation of groundwater balances, the development of groundwater chemistry, as well as the practical application of hydrogeology for groundwater development. Following a unique systems approach to describe and connect its various elements, the text also explores a large selection of examples of groundwater cases from various parts of the world. In addition, theoretical sections and examples are illustrated with a number of drawings, photos and computer printouts. Suitable for education in hydrogeology at postgraduate and graduate level, the text is also a useful reference tool for professionals and decision-makers involved in water or water-related activities. In the revised paperback edition more attention is paid to the processes in the unsaturated zone, especially those relating to groundwater recharge. Also, the investigation methods are highlighted in the sections where the related theory is dealt with, and they are not presented in the last chapter on groundwater management. The References and Bibliography section is also extended, some figures are improved, and the inevitable 'typing errors' are corrected as well. In the third edition, a more formal basis for the hydro-chemical processes described in the chapter on groundwater chemistry has been added. Mass balances and the principles of dispersion and retardation are introduced. Additional illustrations are provided, also explaining the processes occurring along streamlines. Consult: http://introductiontohydrogeology.nl/ for additional information on the book, the author and available software.

Geographical Data: Characteristics and Sources represents a response to the remarkable growth in the volume of geographical data in recent years, especially in the amount captured directly into a digital format. Information and communication technologies are now the basis for analysing, handling and visualising data about the Earth's surface, and Geographical Information Systems (GIS) provide the tools for performing these tasks within the public, private and educational sectors. This book focuses on the principle sources of geographical data and provides a comprehensive overview of their characteristics and analytical capabilities.

Geographical Data: Characteristics and Sources is a unique text in several ways:

• Details the characteristics of spatial and thematic geographical data relating to the environmental and human domains. These types of data are remotely sensed, cartographic, census/survey, and administrative/statutory

• Highlights the benefits and drawbacks of using geographical data

• Focuses on the availability of digital (rather than analogue) geo-referenced datasets

• Presents a comparative development of spatial data frameworks from countries across the world in Australasia, Asia, Europe and North America

• Looks to future developments in Internet-based GIS, online access and potential new sources of geographical data.

Geographical Data: Characteristics and Sources is intended for professionals within the administrative, commercial, educational, governmental and voluntary sectors, and academic users of GIS technology who want to branch out into new applications involving unfamiliar data sources. It also provides novice users with a guide to the complexities of geographical data.

China Satellite Navigation Conference (CSNC) 2019 Proceedings presents selected research papers from CSNC2019 held during 22nd-25th May in Beijing, China. These papers discuss the technologies and applications of the Global Navigation Satellite System (GNSS), and the latest progress made in the China BeiDou System (BDS) especially. They are divided into 12 topics to match the corresponding sessions in CSNC2019, which broadly covered key topics in GNSS. Readers can learn about the BDS and keep abreast of the latest advances in GNSS techniques and applications.

Focusing exclusively on the Remote System Explorer (RSE) within the popular WebSphere Development Studio Client (WDSC), this comprehensive study contains both technical and practical tutorials. Allowing developers to use modern techniques within several programs, this survey covers topics such as getting started, terminology, installation, managing i5/OS objects and members, editing, compiling, and debugging. Each chapter features key views, actions, keyboard shortcuts, and troubleshooting tips. Illustrated with countless examples and detailed screen shots, this reference makes the RSE accessible for any developer.

GIS for Critical Infrastructure Protection highlights the GIS-based technologies that can be used to support critical infrastructure protection and emergency management. The book bridges the gap between theory and practice using real-world applications, real-world case studies, and the authors' real-world experience. Geared toward infrastructure owners and first responders and their agencies, it addresses gaps in the response, recovery, preparedness planning, and emergency management of large-scale disasters. It also explains the first principles of CIP, introduces the basic components of GIS, and focuses on the application of GIS analysis to identify and mitigate risk and facilitate remediation. In addition, it offers suggestions on how geospatial and emergency response communities can come together-and with combined knowledge-work toward viable solutions for future improvements. Provides a narrative of critical lessons learned through personal experience during the response to Hurricane Katrina Contains examples demonstrating how geospatial technologies may be applied to fire service Summarizes lessons learned from ten community collaboration studies GIS for Critical Infrastructure Protection serves as a reference for infrastructure owner's police, fire, paramedics, and other government agencies responsible for crisis and emergency response, and critical infrastructure protection. The book benefits first responders and infrastructure owners working to ensure the continued safety and operability of the nation's infrastructure.

Fully automated interpretation and understanding of remotely sensed data by a computer has been a challenge for many decades, and many approaches have been developed over the years. Significant advances in knowledge-based image understanding, machine learning and artificial intelligence has led to this topic being the focus of much research in recent years. This book highlights the different theoretical and application-oriented aspects and potential solutions to the topic of automated remote sensing data analysis. Thereby, both classical knowledge-based as well as modern machine learning-oriented concepts are described. A field such as this is specialized and dynamic and also interdisciplinary and multilayered. Written by an international team of experts, the book has therefore been split into parts dealing with the concepts and applications, and the focus is on elucidating the complementarity of different lines of research rather than providing the complete set of scientific approaches.Part A of this book gives insight into the basic theories and concepts of feature extraction, image understanding and the respective assessment strategies as well as into geometric, radiometric and sensor-related fundamentals of remote sensing technology. Part B focuses on various scientific and practical applications of remote sensing data analysis. These range from the automatic detailed reconstruction of complex 3D environments to visual tracking of objects in image sequences as well as monitoring natural and anthropogenic long-term processes on a regional scale. Part C sketches recent trends in automatic analysis of remote sensing data.

Following the successful publication of the 1st edition in 2009, the 2nd edition maintains its aim to provide an application-driven package of essential techniques in image processing and GIS, together with case studies for demonstration and guidance in remote sensing applications. The book therefore has a 3 in 1 structure which pinpoints the intersection between these three individual disciplines and successfully draws them together in a balanced and comprehensive manner. The book conveys in-depth knowledge of image processing and GIS techniques in an accessible and comprehensive manner, with clear explanations and conceptual illustrations used throughout to enhance student learning. The understanding of key concepts is always emphasised with minimal assumption of prior mathematical experience. The book is heavily based on the authors own research. Many of the author-designed image processing techniques are popular around the world. For instance, the SFIM technique has long been adopted by ASTRIUM for mass-production of their standard Pan-sharpen imagery data. The new edition also includes a completely new chapter on subpixel technology and new case studies, based on their recent research.

Ring lasers are commonly used as gyroscopes for aircraft navigation and attitude control. The largest ring lasers are sensitive enough that they can be used for high resolution inertial rotation sensing of the Earth in order to detect tiny perturbations to the Earth's rotation caused by earthquakes or global mass transport. This book describes the latest advances in the development of large ring lasers for applications in geodesy and geophysics using the most sensitive and stable devices available. Chapters cover our current knowledge of the physics of the laser gyroscope, how to acquire and analyse data from ring lasers, and what the potential applications are in the geosciences. It is a valuable reference for those working with ring lasers or using the data for applications in geodesy and geophysics; as well as researchers in laser physics, photonics and navigation.

This book draws on author's wealth of knowledge working on numerous projects across many countries. It provides a clear overview of the development of the SDI concept and SDI worldwide implementation and brings a logical chronological approach to the linkage of GIS technology with SDI enabling data. The theory and practice approach help understand that SDI development and implementation is very much a social process of learning by doing. The author masterfully selects main historical developments and updates them with an analytical perspective promoting informed and responsible use of geographic information and geospatial technologies for the benefit of society from local to global scales. Features Subject matter spans thirty years of the development of GIS and SDI. Brings a social science perspective into GIS and SDI debates that have been largely dominated by technical considerations. Based on a world-wide perspective as a result of the author's experience and research in the USA, Australia, Canada, Brazil, Peru, China, India, Korea, Malaysia, and Japan as well as most European countries. Draws upon professional and academic experience relating to pioneering UK and European GIS research initiatives. Includes updated historical material with an analytical perspective explaining what was done right, and what didn't work.

Spatio-Temporal Databases explores recent trends in flexible querying and reasoning about time- and space-related information in databases. It shows how flexible querying enhances standard querying expressiveness in many different ways, with the aim of facilitating extraction of relevant data and information. Flexible spatial and temporal reasoning denotes qualitative reasoning about dynamic changes in the spatial domain, characterized by imprecision or uncertainty (or both). Many of the contributions focus on GIS, while some others are more general, or focus on related application fields, presenting theoretical viewpoints and techniques that are inspiring or can be adapted for GIS. The first part bundles the contributions on advances at the theoretical level, also discussing examples and opening further perspectives. The second part presents contributions on well-developed applications. The authors explain how to handle imprecision and uncertainty, demonstrating how advanced techniques can help to solve diverse problems related to GIS.

The book deals with the integration of temporal information in Geographic Information Systems (GIS). The main purpose of a historical or time-integrative GIS is to reproduce spatio-temporal processes or sequences of events of the real world in a model in such a way as to make them accessible for spatial query, analysis and visualisation. The volume reflects theoretical thoughts on the interrelations of space and time and includes practical examples taken from various fields of application (spatial/environmental analysis, demographics, history, business data warehousing).

Capable of acquiring large volumes of data through sensors deployed in air, land, and sea, and making this information readily available in a continuous time frame, the science of geographical information system (GIS) is rapidly evolving. This popular information system is emerging as a platform for scientific visualization, simulation, and computation of spatio-temporal data. New computing techniques are being researched and implemented to match the increasing capability of modern-day computing platforms and easy availability of spatio-temporal data. This has led to the need for the design, analysis, development, and optimization of new algorithms for extracting spatio-temporal patterns from a large volume of spatial data. Computing in Geographic Information Systems considers the computational aspects, and helps students understand the mathematical principles of GIS. It provides a deeper understanding of the algorithms and mathematical methods inherent in the process of designing and developing GIS functions. It examines the associated scientific computations along with the applications of computational geometry, differential geometry, and affine geometry in processing spatial data. It also covers the mathematical aspects of geodesy, cartography, map projection, spatial interpolation, spatial statistics, and coordinate transformation. The book discusses the principles of bathymetry and generation of electronic navigation charts.The book consists of 12 chapters. Chapters one through four delve into the modeling and preprocessing of spatial data and prepares the spatial data as input to the GIS system. Chapters five through eight describe the various techniques of computing the spatial data using different geometric and statically techniques. Chapters nine through eleven define the technique for image registration computation and measurements of spatial objects and phenomenon. Examines cartographic modeling and map

The applications of image-based measurement are many and various: image-guided surgery, mobile-robot navigation, component alignment, part inspection and photogrammetry, among others. In all these applications, landmarks are detected and located in images, and measurements made from those locations.Precision Landmark Location for Machine Vision and Photogrammetry addresses the ubiquitous problem of measurement error associated with determining the location of landmarks in images. With a detailed model of the image formation process and landmark location estimation, the Cramer-Rao Lower Bound (CRLB) theory of statistics is applied to determine the least possible measurement uncertainty in a given situation.This monograph provides the reader with: the most complete treatment to date of precision landmark location and the engineering aspects of image capture and processing; detailed theoretical treatment of the CRLB; a software tool for analyzing the potential performance-specific camera/lens/algorithm configurations; two novel algorithms which achieve precision very close to the CRLB; an experimental method for determining the accuracy of landmark location; and, downloadable MATLAB registered] package to assist the reader with applying theoretically-derived results to practical engineering configurations. All of this adds up to a treatment that is at once theoretically sound and eminently practical.Precision Landmark Location for Machine Vision and Photogrammetry will be of great interest to computer scientists and engineers working with and/or studying image processing and measurement. It includes cutting-edge theoretical developments and practical tools so it will appeal to research investigators and system designers.