This title analyzes distributed Earth observation missions from different perspectives. In particular, the issues arising when the payloads are distributed on different satellites are considered from both the theoretical and practical points of view. Moreover, the problems of designing, measuring, and controlling relative trajectories are thoroughly presented in relation to theory and applicable technologies. Then, the technological challenges to design satellites able to support such missions are tackled. An ample and detailed description of missions and studies complements the book subject.

Introduction to Satellite Remote Sensing: Atmosphere, Ocean and Land Applications is the first reference book to cover ocean applications, atmospheric applications, and land applications of remote sensing. Applications of remote sensing data are finding increasing application in fields as diverse as wildlife ecology and coastal recreation management. The technology engages electromagnetic sensors to measure and monitor changes in the earth's surface and atmosphere. The book opens with an introduction to the history of remote sensing, starting from when the phrase was first coined. It goes on to discuss the basic concepts of the various systems, including atmospheric and ocean, then closes with a detailed section on land applications. Due to the cross disciplinary nature of the authors' experience and the content covered, this is a must have reference book for all practitioners and students requiring an introduction to the field of remote sensing.

A balanced review of differing approaches based on remote sensing tools and methods to assess and monitor biodiversity, carbon and water cycles, and the energy balance of terrestrial ecosystem. Earth Observation of Ecosystem Services highlights the advantages Earth observation technologies offer for quantifying and monitoring multiple ecosystem functions and services. It provides a multidisciplinary reference that expressly covers the use of remote sensing for quantifying and monitoring multiple ecosystem services. Rather than exhaustively cover all possible ecosystem services, this book takes a global look at the most relevant remote sensing approaches to estimate key ecosystem services from satellite data. Structured in four main sections, it covers carbon cycle, biodiversity, water cycle, and energy balance. Each section contains a review of conceptual and empirical methods, techniques, and case studies linking remotely sensed data to the biophysical variables and ecosystem functions associated with key ecosystem services. The book identifies relevant issues and challenges of assessment, presents cutting-edge sensing techniques, uses globally implemented tools to quantify ecosystem functions, and presents examples of successful monitoring programs. Covering recent developments undertaken on the global and national stage from Earth observation satellite data, it includes valuable lessons and recommendations and novel ways to improve current global monitoring systems. The book delineates the use of Earth observation data so that it can be used to quantify, map, value, and manage the valuable goods and services that ecosystems provide to societies around the world.

1. Captures advanced technologies and applications for assimilation and implementation and addresses a wide spectrum of water issues. 2. Provides real world applications and case studies of advanced spectral and spatial sensors combined with geospatially driven water process modelling. 3. Details applications of the latest remote sensor systems including GRACE, SMAP, AVIRIS, Sentential, MODIS, Landsat 8, RapidEye, AirSWOT, and pays special attention to multidisciplinary cases studies. 4. It is global in coverage with applications demonstrated by more than 170 experts from around the world. 5. Edited by extremely qualified authors with lifelong expertise in water sciences and with an extensive record in books and journal publications.

As coastal environments around the world face unprecedented natural and anthropogenic threats, advancements in the technologies that support geospatial data acquisition, imaging, and computing have profoundly enhanced monitoring capabilities in coastal studies. Providing systematic treatment of the key developments, Remote Sensing of Coastal Environments brings together renowned scholars to supply a clear presentation of the state-of-the-art in this technically complex arena. Edited by a recipient of the prestigious PECASE award, this book provides unrivaled coverage of the issues unique to coastal environments. It presents the best available data for measuring and monitoring coastal zones and explains how decision makers and resource managers can use this data to address contemporary issues in coastal zone management. The text illustrates the latest developments in active remote sensing, hyperspectral remote sensing, high spatial resolution remote sensing, the integration of remote sensing and in situ data, and covers the effects of land-cover and land-use change on coastal environments. Complete with representative case studies, this authoritative resource provides a timely snapshot of the wide range of remote sensing applications in coastal issues to enhance the understanding of how increasing disturbances to our coastal regions are affecting the ecological dynamics, biological diversity, and ecosystem health of our coastal environments.

Producing maps that depict the real world accurately has been a major concern of cartographers for centuries. This is especially true today as escalating access to geospatial data and the subsequent increase in user-generated content provided by Web 2.0 have significantly altered the typical processes used to produce, distribute, and use geospatial data. Focusing on users and decisions as well as the data, Spatial Data Quality: From Process to Decisions provides an up-to-date overview of scientific progress in this core sub-discipline of the Geographic Information Sciences. Presenting results from a number of current research projects in spatial data quality (SDQ) - from the assessment of data accuracy to legal aspects relating to the quality of geographic information - this reference reflects the changes in practice in response to the rapid technological developments over the past decade. An impressive panel of internationally recognized expert contributors focuses on the relationship between the quality of geographic data and the quality of decisions based on such data. Structured for easy reference, the first section of the book discusses conceptual approaches to SDQ, the second presents a number of applications of spatial data quality methods, the third looks at SDQ issues for remote sensing data, and the final section presents papers that consider the interface between the law and SDQ. In addition to the main chapters presented in each section, a number of shorter notes present on-going and recent research projects investigating various aspects of spatial data quality.

Traditional methods for handling spatial data are encumbered by the assumption of separate origins for horizontal and vertical measurements, but modern measurement systems operate in a 3-D spatial environment. The 3-D Global Spatial Data Model: Principles and Applications, Second Edition maintains a new model for handling digital spatial data, the global spatial data model or GSDM. The GSDM preserves the integrity of three-dimensional spatial data while also providing additional benefits such as simpler equations, worldwide standardization, and the ability to track spatial data accuracy with greater specificity and convenience. This second edition expands to new topics that satisfy a growing need in the GIS, professional surveyor, machine control, and Big Data communities while continuing to embrace the earth center fixed coordinate system as the fundamental point of origin of one, two, and three-dimensional data sets. Ideal for both beginner and advanced levels, this book also provides guidance and insight on how to link to the data collected and stored in legacy systems.

Telegeoprocessing is the integration of remote sensing, Geographic Information System (GIS), Global Navigation Satellite System (GNSS), Big Data and Telecommunication.This unique compendium brings together most of the key issues involved in research in novel systems in telegeoprocessing. It elucidates a comprehensive introduction to the problems encountered in telegeoprocessing engineering and the major technologies and standards related to designing an integrated, fully functional telegeoprocessing system based on the latest multimedia and telecommunication technologies.The useful cross-disciplinary reference text benefits teachers and researchers in both universities and research organizations, and for anyone keen in the impact of Earth observation, big data, geoinformatics in civil communities and human societies.

This book reviews the state of the art in algorithmic approaches addressing the practical challenges that arise with hyperspectral image analysis tasks, with a focus on emerging trends in machine learning and image processing/understanding. It presents advances in deep learning, multiple instance learning, sparse representation based learning, low-dimensional manifold models, anomalous change detection, target recognition, sensor fusion and super-resolution for robust multispectral and hyperspectral image understanding. It presents research from leading international experts who have made foundational contributions in these areas. The book covers a diverse array of applications of multispectral/hyperspectral imagery in the context of these algorithms, including remote sensing, face recognition and biomedicine. This book would be particularly beneficial to graduate students and researchers who are taking advanced courses in (or are working in) the areas of image analysis, machine learning and remote sensing with multi-channel optical imagery. Researchers and professionals in academia and industry working in areas such as electrical engineering, civil and environmental engineering, geosciences and biomedical image processing, who work with multi-channel optical data will find this book useful.

Navigation systems engineering is a red-hot area. More and more technical professionals are entering the field and looking for practical, up-to-date engineering know-how. This newly revised and expanded edition of the popular "Artech House book Principles of GNSS, Inertial, and Multisensor Integrated Navigation Systems" answers the call, offering current and comprehensive introduction to systems operation and an in-depth treatment of architecture, design, and component integration. The second edition offers a wealth of added and updated material, including a brand new chapter on the principles of radio positioning and a chapter devoted to important applications in the field. DVD Included! It features nine appendices, interactive worked examples, basic GNSS and INS Matlab[registered] simulation software, and problems and exercises to help readers master the material. It is suitable for navigation systems designers, engineers, and researchers, as well as graduate students and academic researchers.

This book provides an advanced introduction to the science behind automated prediction systems, focusing on sea ice analysis and forecasting. Starting from basic principles, fundamental concepts in sea ice physics, remote sensing, numerical methods, and statistics are explained at an accessible level. Existing operational automated prediction systems are described and their impacts on information providers and end clients are discussed. The book also provides insight into the likely future development of sea ice services and how they will evolve from mainly manual processes to increasing automation, with a consequent increase in the diversity and information content of new ice products. With contributions from world-leading experts in the fields of sea ice remote sensing, data assimilation, numerical modelling, and verification and operational prediction, this comprehensive reference is ideal for students, sea ice analysts, and researchers, as well as decision-makers and professionals working in the ice service industry.

The Mekong Basin in Southeast Asia is one of the largest international river basins in the world. Its abundant natural resources are shared by six riparian countries and provide the basis for the livelihoods of more than 75 million people. However, ongoing socio-economic growth and related anthropogenic interventions impact the region's ecosystems, and there is an urgent need for the monitoring of the basin's land surface dynamics. Remote sensing has evolved as a key tool for this task, allowing for up-to-date analyses and regular monitoring of environmental dynamics beyond physical or political boundaries and at various temporal and spatial scales. This book serves as a forum for remote-sensing scientists with an interest in the Mekong River Basin to present their recent basin-related works as well as applied case studies of the region. A broad range of sensors from high to medium resolution, and from multispectral to SAR systems, are applied, covering topics such as land cover/land use classification and comparison, time series analyses of climate variables, vegetation structure and vegetation productivity, as well as studies on flood mapping or water turbidity monitoring. This book was originally published as a special issue of the International Journal of Remote Sensing.

1. Captures advanced technologies and applications for assimilation and implementation and addresses a wide spectrum of water issues. 2. Provides real world applications and case studies of advanced spectral and spatial sensors combined with geospatially driven water process modelling. 3. Details applications of the latest remote sensor systems including GRACE, SMAP, AVIRIS, Sentential, MODIS, Landsat 8, RapidEye, AirSWOT, and pays special attention to multidisciplinary cases studies. 4. It is global in coverage with applications demonstrated by more than 170 experts from around the world. 5. Edited by extremely qualified authors with lifelong expertise in water sciences and with an extensive record in books and journal publications.

1. Uses advanced geospatial technology to study fragile Himalayan ecosystems and their sustainability. 2. Focuses on land use/land cover changes (LULCC) a leading aspect of environmental changes caused by human-induced activities in rapidly developing areas. 3. Includes case studies from Indian Himalayan, Nepal, and Afghanistan regions. 4. Provides satellite data and spatio-temporal analyses to assess and monitor land cover and land use in the Himalayas. 5. Discusses vegetation trends and forest fires related to ongoing geohazards and climate change.

Now ubiquitous in modern life, spatial data present great opportunities to transform many of the processes on which we base our everyday lives. However, not only do these data depend on the scale of measurement, but also handling these data (e.g., to make suitable maps) requires that we account for the scale of measurement explicitly. Scale in Spatial Information and Analysis describes the scales of measurement and scales of spatial variation that exist in the measured data. It provides you with a series of tools for handling spatial data while accounting for scale. The authors detail a systematic strategy for handling scale issues from geographic reality, through measurements, to resultant spatial data and their analyses. They also explore a process-pattern paradigm in approaching scale issues. This is well reflected, for example, in chapters dealing with terrain analysis, in which scale in terrain derivatives is described in relation to the processing involved in the derivation of specific terrain variables from elevation data, and area classes, which are viewed as driven by class-forming covariates. Lastly, this book provides coverage of some of the issues related to scale that are relatively under-represented in the literature, such as the effects of scale on information content in remotely sensed images, and the interaction between scale and uncertainty that is increasingly important for spatial information and analysis. By taking a rigorous, scientific approach to scale and its various meanings in relation to the geographic world, the book alleviates some of the frustration caused by dealing with issues of scale. While past research has led to an increasing number of journal articles and a few books dedicated to scale modeling and change of scale, this book helps you to develop coherent strategies for scale modeling, highlighting applicability for a variety of fields, from geomatic engineering and geoinformatics to environmental modeling.

Activation Spectrometry in Chemical Analysis Susan J. Parry In clear, easy-to-read language, Activation Spectrometry in Chemical Analysis provides a straightforward review of just what activation analysis can do, describing the technique as it is currently applied to biomedical, environmental, geological, and industrial analytical problems. The book outlines the specifics of the procedures that have proven critical to the technique’s success and describes the current status of activation spectrometry in a concise, three-part format: principles, techniques, and applications. Written for undergraduates and postgraduates in universities, research institutes, government, or industry, the book provides the first definitive look at the day-to-day and key uses of the method that is at once challenging and intriguing, yet simple to grasp. 1991 (0 471-63844-7) 264 pp. Principles and Practice of Spectroscopic Calibration Howard Mark Clearly linking theory with applications, this unique guide to spectroscopic calibration advances an approach that is understandable, free of the usual uncertainties, and simple to execute. The book details the practical aspects of generating a calibration equation, as well as the basics of recognizing and dealing with different types of problems affecting calibration. Most of the procedures are applicable to such sophisticated and popular approaches as Principal Component Calibration (PCA), Partial Least Squares Calibration (PLS), and Fourier Transform Calibration. 1991 (0 471-54614-3) 192 pp. Analytical Raman Spectroscopy Edited by Jeanette G. Grasselli and Bernard J. Bulkin Analytical Raman Spectroscopy charts, through a series of contributed articles, the spectacular versatility of the method and its applications in semiconductor characterization, synthetic organic polymer analysis, organic and petrochemical analysis, heterogeneous catalysts, and biological studies. Chapters feature an outline structure which systematically details the critical aspects of each subject discussed. The book provides a unique look at the field’s fundamental operational techniques, instrumentation, and up-to-the-minute advances: components of modern Raman spectrometers; Raman spectroscopy of inorganic species in solution; quantitative analysis by Raman spectroscopy; and much more. 1991 (0 471-51955-3) 480 pp.

This book presents the current research on space-based navigation models and the contents of spaces used for seamless indoor and outdoor navigation. It elaborates on 3D spaces reconstructed automatically and how indoor, semi-indoor, semi-outdoor, and outdoor spaces can mimic the indoor environments and originate a network based on the 3D connectivity of spaces. Case studies help readers understand theories, approaches, and models, including data preparation, space classification and reconstruction, space selection, unified space-based navigation model derivation, path planning, and comparison of results. Features: Provides novel models, theories, and approaches for seamless indoor and outdoor navigation path planning Includes real-life case studies demonstrating the most feasible approaches today Presents a generic space definition framework that can be used in research areas for spaces shaped by built structures Develops a unified 3D space-based navigation model that allows the inclusion of all types of spaces as 3D spaces and utilizes them for seamless navigation in a unified way Intended to motivate further research and developments, this book suits students, researchers, and practitioners in the field, and serves as a helpful introductory text for readers wanting to engage in seamless indoor/outdoor navigation research and teaching.

First Published in 1996. Routledge is an imprint of Taylor & Francis, an informa company.

It has long been a dream to realize machines with flexible visual perception capability. Research on digital image processing by computers was initiated about 30 years ago, and since then a wide variety of image processing algorithms have been devised. Using such image processing algorithms and advanced hardware technologies, many practical ma chines with visual recognition capability have been implemented and are used in various fields: optical character readers and design chart readers in offices, position-sensing and inspection systems in factories, computer tomography and medical X-ray and microscope examination systems in hospitals, and so on. Although these machines are useful for specific tasks, their capabilities are limited. That is, they can analyze only simple images which are recorded under very carefully adjusted photographic conditions: objects to be recognized are isolated against a uniform background and under well-controlled artificial lighting. In the late 1970s, many image understanding systems were de veloped to study the automatic interpretation of complex natural scenes. They introduced artificial intelligence techniques to represent the knowl edge about scenes and to realize flexible control structures. The first author developed an automatic aerial photograph interpretation system based on the blackboard model (Naga1980). Although these systems could analyze fairly complex scenes, their capabilities were still limited; the types of recognizable objects were limited and various recognition vii viii Preface errors occurred due to noise and the imperfection of segmentation algorithms."

This book provides an overview of various application spheres and supports further innovations needed in information management and in the processes of knowledge generation. The professions, organizations and scientific associations involved are unusually challenged by the complexity of the data situation. Cartography has always been the central field of application for georeferencing digital cultural heritage (DCH) objects. It is particularly important in enabling spatial relation analysis between any number of DCH objects or of their granular details. In addition to the pure geometric aspects, the cognitive relations that lead to knowledge representation and derivation of innovative use processes are also of increasing importance. Further, there is a societal demand for spatial reference and analytics (e.g. the extensive use of cognitive concepts of "map" and "atlas" for a variety of social topics in the media). There is a huge geometrical-logical-cognitive potential for complex, multimedia, digital-cultural-heritage databases and stakeholders expect handling, transmission and processing operations with guaranteed long-term availability for all other stakeholders. In the future, whole areas of digital multimedia databases will need to be processed to further our understanding of historical and cultural contexts. This is an important concern for the information society and presents significant challenges for cartography in all these domains. This book collects innovative technical and scientific work on the entire process of object digitization, including detail extraction, archiving and interoperability of multimedia DCH data.

While innovation has long been a major topic of research and scholarly interest for the private sector, it is still an emerging theme in the field of public management. While 'results-oriented' public management may be here to stay, scholars and practitioners are now shifting their attention to the process of management and to how the public sector can create 'value'. One of the urgent needs addressed by this book is a better specification of the institutional and political requirements for sustaining a robust vision of public innovation, through the key dimensions of collaboration, creative problem-solving, and design. This book brings together empirical studies drawn from Europe, the USA and the antipodes to show how these dimensions are important features of public sector innovation in many Western democracies with different conditions and traditions. This volume provides insights for practitioners who are interested in developing an innovation strategy for their city, agency, or administration and will be essential reading for scholars, practitioners and students in the field of public policy and public administration.

This book provides a unique insight into the research and recent developments undertaken among the African Remote Sensing community in regard to the environment. It includes reports of the latest research outcomes in the field of remote sensing and geospatial information technologies, analyses discussions around operational topics such as capacity building, Spatial Data Infrastructure (SDI), applications of advanced remote sensing technologies (LiDAR , Hyperspectral) in Africa, big data, space policy, and topics of high actually in the field of climate changes, ocean and coastal zone management, early warning systems, natural resources management or geospatial science for sustainable development goals. The book comprises the contributions of the AARSE (African Association of Remote Sensing of the Environment) international conference which is conducted biennially across Africa, alternately with the AfricaGIS conference. It is the premier forum in Africa for research on remote sensing technologies and geospatial information science, gathering leading scholars from the remote sensing and related communities. The conference is co-organised by the Arab Academy of Science and Technology, in partnership with the National Authority for Remote Sensing & Space Sciences (NARSS) of Egypte, and continues a long series of successful AARSE conferences which started in 1996, in Harare (Zimbabwe) and has been held in Abidjan (Cote D'Ivoire) in 1998, Cape Town (South Africa) in 2000, Abuja (Nigeria) in 2002, Nairobi (Kenya) in 2004, Cairo (Egypt) in 2006, Accra (Ghana) in 2008, Addis Abeba (Ethiopia) in 2010, El Jadida (Morocco) in 2012, Johannesburg (South Africa) in 2014, and in Kampala (Ouganda) in 2016. The book is mainly addressed to practitioners and experts from academia, politics and industry.

This compendium is based on more than ten years of urban remote sensing teaching experience, scientific research achievements, and the latest developments of remote sensing technology.The volume is divided into ten chapters, which describes the principles of urban remote sensing and multi-source remote sensing big data acquisition, urban remote sensing image processing methods, urban remote sensing image specific applications in related industries, and the prospect of urban remote sensing development. It summarizes the achievements on urban remote sensing projects, uses a large number of algorithm studies as intuitive materials, combines the achievements of urban remote sensing technology, and provides typical industry solutions or case studies in specific applied urban remote sensing areas.This essential reference textbook benefits undergraduate and graduate students, and anyone keen in urban remote sensing.

This new textbook on remote sensing and digital image processing of natural resources includes numerous practical, problem-solving exercises, applications of sensors and satellite systems using remote sensing data collection resources with emphasis on free and open-source platform R. It explains basic concepts of remote sensing and multidisciplinary applications using R language and R packages, by engaging students in learning theory through hands-on, real-life projects. All chapters are structured with learning objectives, computation, questions, solved exercises, resources and research suggestions. Features 1. Explains the theory of passive and active remote sensing and its applications in water, soil, vegetation, and atmosphere. 2. Covers data analysis in free and open-source (FOSS) R platform, which makes remote sensing accessible to anyone with a computer. 3. Includes case studies from different environments with free software algorithm and R toolset for active learning and learn-by-doing. 4. Provides hands-on exercises at the end of each chapter and encourages readers to understand the potential and the limitations of the environments, remote sensing targets and process. 5. Explores current trends and developments in remote sensing in homework assignments with data to further explore the use of free multispectral remote sensing data, including very high spatial resolution data sources for target recognition with image processing techniques. While the focus of the book is on environmental and agriculture engineering, it can be applied widely to a variety of subjects such as physical, natural, and social sciences. Students in upper-level undergraduate or graduate programs, taking courses in Remote Sensing, Geoprocessing, Civil and Environmental Engineering, Geosciences, Environmental Sciences, Electrical Engineering, Biology, and Hydrology will also benefit from the learning objectives in the book. Professionals who use remote sensing and digital processing will also find this text enlightening.

Modern Statistical Methodology and Software for Analyzing Spatial Point Patterns Spatial Point Patterns: Methodology and Applications with R shows scientific researchers and applied statisticians from a wide range of fields how to analyze their spatial point pattern data. Making the techniques accessible to non-mathematicians, the authors draw on their 25 years of software development experiences, methodological research, and broad scientific collaborations to deliver a book that clearly and succinctly explains concepts and addresses real scientific questions. Practical Advice on Data Analysis and Guidance on the Validity and Applicability of Methods The first part of the book gives an introduction to R software, advice about collecting data, information about handling and manipulating data, and an accessible introduction to the basic concepts of point processes. The second part presents tools for exploratory data analysis, including non-parametric estimation of intensity, correlation, and spacing properties. The third part discusses model-fitting and statistical inference for point patterns. The final part describes point patterns with additional "structure," such as complicated marks, space-time observations, three- and higher-dimensional spaces, replicated observations, and point patterns constrained to a network of lines. Easily Analyze Your Own Data Throughout the book, the authors use their spatstat package, which is free, open-source code written in the R language. This package provides a wide range of capabilities for spatial point pattern data, from basic data handling to advanced analytic tools. The book focuses on practical needs from the user's perspective, offering answers to the most frequently asked questions in each chapter.