With urbanization as a global phenomenon, there is a need for data and information about these terrains. Urban remote sensing techniques provide critical physical input and intelligence for preparing base maps, formulating planning proposals, and monitoring implementations. Likewise these methodologies help with understanding the biophysical properties, patterns, and process of urban landscapes, as well as mapping and monitoring urban land cover and spatial extent. Advanced sensor technologies and image processing methodologies such as deep learning, data mining, etc., facilitate the wide applications of remote sensing technology in urban areas. This book presents advanced image processing methods and algorithms focused on three very important roots of urban remote sensing: 3D urban modelling using different remotely sensed data, urban orthophotomap generation, and urban feature extraction, which are also today's real challenges in high resolution remote sensing. Data generated by remote sensing, with its repetitive and synoptic viewing and multispectral capabilities, constitutes a powerful tool for mapping and monitoring emerging changes in the city's urban core, as well as in peripheral areas. Features: Provides advances in emerging methods and algorithms in image processing and technology Uses algorithms and methodologies for handling high-resolution imagery from a ground sampling distance (GSD) less than 1.0 meter Focuses on 3D urban modelling, orthorectification methodologies, and urban feature extraction algorithms from high-resolution remotely sensed imagery Demonstrates how to apply up-to-date techniques to the problems identified and how to analyze research results Presents methods and algorithms for monitoring, analyzing, and modeling urban growth, urban planning, and socio-economic developments In this book, readers are provided with valuable research studies and applications-oriented chapters in areas such as urban trees, soil moisture mapping, city transportation, urban remote sensing big data, etc.

This book analyzes the drawing data and methods of the Chinese ancient maps that are neglected by the previous researches, and reevaluates the drawing theories and methods, the influences, and accuracy of the maps that represents the scientificity of Chinese ancient cartographic drawings.

This book highlights studies of differentiation problems of natural geosystems because of anthropogenic impact. The systematic methodology of comprehensive ecological assessment of anthropogenic impact on natural geosystems and their differentiations on the level of technogenic conditionality for ensuring rational environmental management and environmental protection are discussed. The practical importance of this book lies in the evidence-based recommendations and actions for conservation and quality management of the environment in order to decrease the degree of anthropogenic impact and in prevention of degradation processes. The book is useful to the researchers, industrial, scientific, and other organizations in establishing the purpose of the problem and solution to environmental protection and rational environmental management.

Geographical Information System and Crime Mapping features a diverse array of Geographic Information System (GIS) applications in crime analysis, from general issues such as GIS as a communication process, interjurisdictional mapping and data sharing to specific applications in tracking serial killers and predicting violence-prone zones. It supports readers in developing and implementing crime mapping techniques. The distribution of crime is explained with reference to theories of human ecology, transport network, built environment, housing markets, and forms of urban management, including policing. Concepts are supported with relevant case studies and real-time crime data to illustrate concepts and applications of crime mapping. Aimed at senior undergraduate, graduate students, professionals in GIS, Crime Analysis, Spatial Analysis, Ergonomics and human factors, this book: Provides an update of GIS applications for crime mapping studies Highlights growing potential of GIS for crime mapping, monitoring, and reduction through developing and implementing crime mapping techniques Covers Operational Research, Spatial Regression model, Point Analysis and so forth Builds models helpful in police patrolling, surveillance and crime mapping from a technology perspective Includes a dedicated section on case studies including exercises and data samples

This book is intended for the GIS Science and Decision Science communities. It is primarily targeted at postgraduate students and practitioners in GIS and urban, regional and environmental planning as well as applied decision analysis. It is also suitable for those studying and working with spatial decision support systems. The main objectives of this book are to effectivley integrate Multicriteria Decision Analysis (MCDA) into Geographic Information Science (GIScience), to provide a comprehensive account of theories, methods, technologies and tools for tackling spatial decision problems and to demonstrate how the GIS-MCDA approaches can be used in a wide range of planning and management situations.

This book presents a survey, dynamic monitoring and comprehensive analysis of Sri Lanka's land, vegetation, surface water, ocean and other environmental resources, as well as its economic, transportation, urban, agricultural and tourism development. It offers readers accurate, systematic and comprehensive information on Sri Lanka's ecological setting and socio-economic development. It also sheds light on policies for the protection of the environment and biodiversity.

Modern land administration applies geospatial thinking to better understand and plan the proper use, conservation, and equitable use of land and property. Location intelligence is changing the way land administration works to protect and maintain appropriate land use and achieve better economic, environmental, and social benefits. The real-life stories in Valuing Place and Purpose: GIS for Land Administration show how communities, government agencies, nonprofits, and other organizations implement geographic information systems (GIS) in four key areas: * Visualizing parcels and property * Managing land use * Strengthening climate and conservation efforts * Addressing land rights, equity, and social justice The book also includes a special section to help readers get started using web apps, online maps, dashboards, and other GIS solutions to represent and understand the value of land and property and efficiently manage, edit, and share land parcel data more accurately. -- Keith Mann

The text develops the principal aspects of applied Fourier analysis and methodology with the main goal to inculcate a different way of perceiving global and regional geodetic and geophysical data, namely from the perspective of the frequency, or spectral, domain rather than the spatial domain. The word "methods" in the title is meant to convey that the transformation of a geophysical signal into the spectral domain can be applied for purposes of analysis as well as rapid computation. The text is written for graduate students; however, Chapters 1 through 4 and parts of 5 can also benefit undergraduates who have a solid and fluent knowledge of integral and differential calculus, have some statistical background, and are not uncomfortable with complex numbers. Concepts are developed by starting from the one-dimensional domain and working up to the spherical domain, which is part of every chapter. Many concepts are illustrated graphically with actual geophysical data primarily from signals of gravity, magnetism, and topography.

This edited volume charts the history of celestial navigation over the course of five centuries. Written by a group of historians and scientists, it analyzes how competing navigation systems, technologies, and institutions emerged and developed, with a focus on the major players in the US and the UK. The history covers the founding of the Royal Observatory; the first printing of a Nautical Almanac; the founding of the US and UK Nautical Almanac Offices; the creation of international standards for reference systems and astronomical constants; and the impact of 20th century technology on the field, among other topics. Additionally, the volume analyzes the present role and status of celestial navigation, particularly with respect to modern radio and satellite navigation systems. With its diverse authorship and nontechnical language, this book will appeal to any reader interested in the history of science, technology, astronomy, and navigation over the ages.

Fundamentals of Inertial Navigation, Satellite-based Positioning and their Integrationis an introduction to the field of Integrated Navigation Systems. It serves as an excellent reference for working engineers as well as textbook for beginners and students new to the area. The book is easy to read and understandwith minimum background knowledge. The authors explain the derivations in great detail. The intermediate steps are thoroughly explained so that a beginner can easily follow the material. The book shows a step-by-step implementation of navigation algorithmsand provides all the necessary details. It provides detailed illustrations for an easy comprehension.

The book also demonstrates real field experiments and in-vehicle road test results with professional discussions and analysis. This work is unique in discussing the different INS/GPS integration schemes in an easy to understand and straightforward way. Those schemes include loosely vs tightly coupled, open loop vs closed loop, and many more.

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Social Sensing and Big Data Computing for Disaster Management captures recent advancements in leveraging social sensing and big data computing for supporting disaster management. Specifically, analysed within this book are some of the promises and pitfalls of social sensing data for disaster relevant information extraction, impact area assessment, population mapping, occurrence patterns, geographical disparities in social media use, and inclusion in larger decision support systems. Traditional data collection methods such as remote sensing and field surveying often fail to offer timely information during or immediately following disaster events. Social sensing enables all citizens to become part of a large sensor network which is low cost, more comprehensive, and always broadcasting situational awareness information. However, data collected with social sensing is often massive, heterogeneous, noisy, and unreliable in some aspects. It comes in continuous streams, and often lacks geospatial reference information. Together, these issues represent a grand challenge toward fully leveraging social sensing for emergency management decision making under extreme duress. Meanwhile, big data computing methods and technologies such as high-performance computing, deep learning, and multi-source data fusion become critical components of using social sensing to understand the impact of and response to the disaster events in a timely fashion. This book was originally published as a special issue of the International Journal of Digital Earth.

This book comprises selected papers from the International Conference on Civil Engineering Trends and Challenges for Sustainability (CTCS) 2019. The book presents latest research in several areas of civil engineering such as construction and structural engineering, geotechnical engineering, environmental engineering and sustainability, and geographical information systems. With a special emphasis on sustainable development, the book covers case studies and addresses key challenges in sustainability. The scope of the contents makes the book useful for students, researchers, and professionals interested in sustainable practices in civil engineering.

Monitoring Land Supply with Geographic Information Systems Theory, Practice, and Parcel-Based Approaches

Monitoring the supply of buildable land and its capacity to accommodate growth within urbanizing regions is an increasingly important component of urban planning and growth management. Recent developments in Geographic Information Systems (GIS) have opened up new opportunities for local and regional government to monitor land supply and capacity. Based on a study sponsored by the Lincoln Institute of Land Policy, this book reviews the state of the art in land monitoring, particularly as it benefits from the introduction of GIS data and analysis capabilities at the level of individual land parcels.

Monitoring Land Supply with Geographic Information Systems addresses:

• Technical and methodological frameworks for data collection and analysis as well as applications to a range of policy concerns
• Case studies of successful land monitoring programs, including Portland, Oregon; Montgomery County, Maryland; and the Puget Sound Regional Council in Washington
• Thematic topics ranging from database design to urban simulation modeling to organizational contexts
• Detailed findings of a national survey of land supply monitoring programs

This guide presents a comprehensive, timely, and critical overview of a fast-emerging field of planning and policy analysis. It provides an invaluable resource to professionals, including land use and economic development planners, GIS analysts, local government officials, and private developers.

The goal of How to Make Maps is to equip readers with the foundational knowledge of concepts they need to conceive, design, and produce maps in a legible, clear, and coherent manner, drawing from both classical and modern theory in cartography. This book is appropriate for graduate and undergraduate students who are beginning a course of study in geospatial sciences or who wish to begin producing their own maps. While the book assumes no a priori knowledge or experience with geospatial software, it may also serve GIS analysts and technicians who wish to explore the principles of cartographic design. The first part of the book explores the key decisions behind every map, with the aim of providing the reader with a solid foundation in fundamental cartography concepts. Chapters 1 through 3 review foundational mapping concepts and some of the decisions that are a part of every map. This is followed by a discussion of the guiding principles of cartographic design in Chapter 4-how to start thinking about putting a map together in an effective and legible form. Chapter 5 covers map projections, the process of converting the curved earth's surface into a flat representation appropriate for mapping. Chapters 6 and 7 discuss the use of text and color, respectively. Chapter 8 reviews trends in modern cartography to summarize some of the ways the discipline is changing due to new forms of cartographic media that include 3D representations, animated cartography, and mobile cartography. Chapter 9 provides a literature review of the scholarship in cartography. The final component of the book shifts to applied, technical concepts important to cartographic production, covering data quality concepts and the acquisition of geospatial data sources (Chapter 10), and an overview of software applications particularly relevant to modern cartography production: GIS and graphics software (Chapter 11). Chapter 12 concludes the book with examples of real-world cartography projects, discussing the planning, data collection, and design process that lead to the final map products. This book aspires to introduce readers to the foundational concepts-both theoretical and applied-they need to start the actual work of making maps. The accompanying website offers hands-on exercises to guide readers through the production of a map-from conception through to the final version-as well as PowerPoint slides that accompany the text.

This book is a compendium of peer reviewed papers resulting from the International Symposium on Spatial Data Handling (SDH), held in Ottawa, Canada, July 9-12, 2002. It presents a selection of papers that demonstrate a maturing in geographical information science (GISc). Of the many challenges under the general topic of spatial data handling, a number of key areas provide the focus for this book. They tackle issues such as database design and architecture, interoperability, integration, fusion, spatial reasoning, visualisation and web-based mapping, among a number of other aspects.

A few months into the popular uprisings in the Middle East and North Africa (MENA) region in 2009/10, the promises of social media, including its ability to influence a participatory governance model, grassroots civic engagement, new social dynamics, inclusive societies and new opportunities for businesses and entrepreneurs, became more evident than ever. Simultaneously, cartography received new considerable interest as it merged with social media platforms. In an attempt to rearticulate the relationship between media and mapping practices, whilst also addressing new and social media, this interdisciplinary book abides by one relatively clear point: space is a media product. The overall focus of this book is accordingly not so much on the role of new technologies and social networks as it is on how media and mapping practices expand the very notion of cultural engagement, political activism, popular protest and social participation.

A variety of disciplines and professions have embraced geospatial technologies for collecting, storing, manipulating, analyzing, and displaying spatial data to investigate crime, prosecute and convict offenders, exonerate suspects, and submit evidence in civil lawsuits. The applications, acceptability and relevance, and procedural legality of each geospatial technologies vary. The purpose of this book is to explain the nature of geospatial technologies, demonstrate a variety of geospatial applications used to investigate and litigate civil and criminal activities, and to provide a reference of current acceptability of geospatial technology in the production of evidence. This book is an introductory overview designed to appeal to researchers and practitioners across disciplinary boundaries. The authors of this book are researchers and practitioners across disciplines and professions, experts in the field.

Computer-mediated participation is at the crossroads. In the early heady days of the digital revolution, access to "high" technologies such as GIS promised the empowerment of marginalized communities by providing data and information that was previously hidden away from public view. To a great extent, this goal has been achieved at least in the U.S. and Western Europe data about a range of government initiatives and raw data about different aspects of spatial planning such as land use, community facilities, property ownership are available a mouse-click away. Now, that we, the public, have access to information, are we able to make better plans for the future of our cities and regions? Are we more inclusive in our planning efforts? Are we able to foster collaborative governance structures mediated by digital technologies?

In the book, I will discuss these issues, using a three-part structure. The first part of the book will be theoretical it will review the literature in the field, establish a framework to organize the literature and to link three different subject areas (participation and community development, GIS and other related technologies, and planning processes). The second part of the book will be a series of success stories, case studies that review actual situations where participatory planning using GIS has enabled community wellbeing and empowerment. These case studies will vary in scale and focus on different planning issues (planning broadly defined). The final part of the book will step back to review alternative scenarios for the future, exploring where we are headed, as the technologies we are using to plan rapidly change."

Uncertainty and context pose fundamental challenges in GIScience and geographic research. Geospatial data are imbued with errors (e.g., measurement and sampling) and various types of uncertainty that often obfuscate any understanding of the effects of contextual or environmental influences on human behaviors and experiences. These errors or uncertainties include those attributable to geospatial data measurement, model specifications, delineations of geographic context in space and time, and the use of different spatiotemporal scales and zonal schemes when analyzing the effects of environmental influences on human behaviors or experiences. In addition, emerging sources of geospatial big data - including smartphone data, data collected by GPS, and various types of wearable sensors (e.g., accelerometers and air pollutant monitors), volunteered geographic information, and/ or location- based social media data (i.e., crowd- sourced geographic information) - inevitably contain errors, and their quality cannot be fully controlled during their collection or production. Uncertainty and Context in GIScience and Geography: Challenges in the Era of Geospatial Big Data illustrates how cutting- edge research explores recent advances in this area, and will serve as a useful point of departure for GIScientists to conceive new approaches and solutions for addressing these challenges in future research. The seven core chapters in this book highlight many challenges and opportunities in confronting various issues of uncertainty and context in GIScience and geography, tackling different topics and approaches. The chapters in this book were originally published as a special issue of the International Journal of Geographical Information Science.

This book presents a selection of conference contributions from CARO'13 (Conference on Aerospace Robotics), which was held in Warsaw from July 1 to 3, 2013. It presents the most important and crucial problems of space automation in context of future exploration programs. These programs could involve such issues as space situational awareness program, planetary protection, exploitation of minerals, assembly, manufacturing, and search for new habitable location for next human generations. The future exploration of Space and related activities will involve robots. In particular, new autonomous robots need to be developed with high degree of intelligence. Such robots would make space exploration possible but also they would make space automation an important factor in variety of activities related to Space.

Providing new developments in Geodesy, Cartography, and Geoinformatics

Remote sensing of impervious surfaces has matured using advances in geospatial technology so recent that its applications have received only sporadic coverage in remote sensing literature. Remote Sensing of Impervious Surfaces is the first to focus entirely on this developing field. It provides detailed coverage of mapping, data extraction, and modeling techniques specific to analyzing impervious surfaces, such as roads and buildings. Written by renowned experts in the field, this book reviews the major approaches that apply to this emerging field as well as current challenges, developments, and trends. The authors introduce remote sensing digital image processing techniques for estimating and mapping impervious surfaces in urban and rural areas. Presenting the latest modeling tools and algorithms for data extraction and analysis, the book explains how to differentiate roads, roofs, and other manmade structures from remotely sensed images for individual analysis. The final chapters examine how to use impervious surface data for predicting the flow of storm- or floodwater and studying trends in population, land use, resource distribution, and other real-world applications in environmental, urban, and regional planning. Each chapter offers a consistent format including a concise review of basic concepts and methodologies, timely case studies, and guidance for solving problems and analyzing data using the techniques presented.

During the last decade developments in 3D Geoinformation have made substantial progress. We are about to have a more complete spatial model and understanding of our planet in different scales. Hence, various communities and cities offer 3D landscape and city models as valuable source and instrument for sustainable management of rural and urban resources. Also municipal utilities, real estate companies etc. benefit from recent developments related to 3D applications. To meet the challenges due to the newest changes academics and practitioners met at the 5th International Workshop on 3D Geoinformation in order to present recent developments and to discuss future trends. This book comprises a selection of evaluated, high quality papers that were presented at this workshop in November 2010. The topics focus explicitly on the last achievements (methods, algorithms, models, systems) with respect to 3D geo-information requirements. The book is aimed at decision makers and experts as well at students interested in the 3D component of geographical information science including GI engineers, computer scientists, photogrammetrists, land surveyors, urban planners, and mapping specialists.

A Coming of Age: Geospatial Analysis and Modelling in the Early Twenty First Century Forty years ago when spatial analysis first emerged as a distinct theme within geography's quantitative revolution, the focus was largely on consistent methods for measuring spatial correlation. The concept of spatial au- correlation took pride of place, mirroring concerns in time-series analysis about similar kinds of dependence known to distort the standard probability theory used to derive appropriate statistics. Early applications of spatial correlation tended to reflect geographical patterns expressed as points. The perspective taken on such analytical thinking was founded on induction, the search for pattern in data with a view to suggesting appropriate hypotheses which could subsequently be tested. In parallel but using very different techniques came the development of a more deductive style of analysis based on modelling and thence simulation. Here the focus was on translating prior theory into forms for generating testable predictions whose outcomes could be compared with observations about some system or phenomenon of interest. In the intervening years, spatial analysis has broadened to embrace both inductive and deductive approaches, often combining both in different mixes for the variety of problems to which it is now applied.

The use of synthetic aperture radar (SAR) represents a new era in remote sensing technology. A complete handbook for anyone who must design an SAR system capable of reliably producing high quality image data products, free from image artifacts and calibrated in terms of the target backscatter coefficient. Combines fundamentals underlying the SAR imaging process and the practical system engineering required to produce quality images from a real SAR system. Beginning with a broad overview of SAR technology, it goes on to examine SAR system capabilities and components and detail the techniques required for design and development of the SAR ground data system with emphasis on the correlation processing. Intended for SAR system engineers and researchers, it is generously illustrated for maximum clarity.