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.

Do more with your GIS and understand the foundation of spatial analysis: geographic patterns and relationships. A geographic information system (GIS) enables so much more than mapping. A GIS inherently enables spatial analysis that can give you a better understanding of your geographic data. GIS analysis reveals answers to questions like: Where is it? Where's the most and least? How much is where? What's inside? What's nearby? What's changed But how do you get started? The second edition of The Esri Guide to GIS Analysis, Volume 1 shows how and more. With easier to read maps and text, The Esri Guide to GIS Analysis, Volume 1, second edition, dives beneath the surface of mapping, beyond displaying data to using it to reveal geographic insights. Learn the basic concepts of spatial analysis and GIS. Build on that understanding with essential map-building skills to unveil and display patterns and relationships. The Esri Guide to GIS Analysis, Volume 1, second edition, also includes a guide to online lessons that reinforce the concepts and demonstrate GIS application. Written for both new and experienced GIS users using an easy to follow format, the second edition of The Esri Guide to GIS Analysis, Volume 1 helps you build a foundation of the basic tasks needed to handle a wide range of analysis applications and prepares you for more advanced GIS skills.

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.

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.

Ideal for both undergraduate and graduate students in the fields of geography, forestry, ecology, geographic information science, remote sensing, and photogrammetric engineering, LiDAR Remote Sensing and Applications expertly joins LiDAR principles, data processing basics, applications, and hands-on practices in one comprehensive source. The LiDAR data within this book is collected from 27 areas in the United States, Brazil, Canada, Ghana, and Haiti and includes 183 figures created to introduce the concepts, methods, and applications in a clear context. It provides 11 step-by-step projects predominately based on Esri's ArcGIS software to support seamless integration of LiDAR products and other GIS data. The first six projects are for basic LiDAR data visualization and processing and the other five cover more advanced topics: from mapping gaps in mangrove forests in Everglades National Park, Florida to generating trend surfaces for rock layers in Raplee Ridge, Utah. Features Offers a comprehensive overview of LiDAR technology with numerous applications in geography, forestry and earth science Gives necessary theoretical foundations from all pertinent subject matter areas Uses case studies and best practices to point readers to tools and resources Provides a synthesis of ongoing research in the area of LiDAR remote sensing technology Includes carefully selected illustrations and data from the authors' research projects Before every project in the book, a link is provided for users to download data

Despite the importance of foreign news, its history, transformation and indeed its future have not been much studied. The scholarly community often calls attention to journalism's shortcomings covering the world, yet the topic has not been systematically examined across countries or over time. The need to redress this neglect and the desire to assess the impact of new media technologies on the future of journalism - including foreign correspondence - provide the motivation for this stimulating, exciting and thought-provoking book. While the old economic models supporting news have crumbled in the wake of new media technologies, these changes have the potential to bring new and improved ways to inform people of foreign news. In an increasingly globalized era, journalism is being transformed by the effortlessly quick sharing of information across national boundaries. As such, we need to reconsider foreign correspondence and explore where such reporting is headed. This book discusses the current state and future prospects for foreign correspondence across the full range of media platforms, and assesses developments in the reporting of overseas news for audiences, governments and foreign policy in both contemporary and historical settings around the globe. As Emmy Award and Pulitzer Prize-winning correspondent Serge Schmemann reminds us in this book, "quality journalism and unbiased reporting are as valid and necessary today as they ever were [...] one of the primary tasks of journalists and scholars as they follow the changes taking place must be to ensure that the 'new international information order' now imposed by the Internet remains true to the ideals and traditions that define our journalism." This book was originally published as a special issue of Journalism Studies.

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.

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.

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.

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.

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.

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.

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.

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.

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).

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.

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.

A revision of Openshaw and Abrahart's seminal work, GeoComputation, Second Edition retains influences of its originators while also providing updated, state-of-the-art information on changes in the computational environment. In keeping with the field's development, this new edition takes a broader view and provides comprehensive coverage across the field of GeoComputation. See What's New in the Second Edition: Coverage of ubiquitous computing, the GeoWeb, reproducible research, open access, and agent-based modelling Expanded chapter on Genetic Programming and a separate chapter developed on Evolutionary Algorithms Ten chapters updated by the same or new authors and eight new chapters added to reflect state of the art Each chapter is a stand-alone entity that covers a particular topic. You can simply dip in and out or read it from cover to cover. The opening chapter by Stan Openshaw has been preserved, with only a limited number of minor essential modifications having been enacted. This is not just a matter of respect. Openshaw's work is eloquent, prophetic, and his overall message remains largely unchanged. In contrast to other books on this subject, GeoComputation: Second Edition supplies a state-of-the-art review of all major areas in GeoComputation with chapters written especially for this book by invited specialists. This approach helps develop and expand a computational culture, one that can exploit the ever-increasing richness of modern geographical and geospatial datasets. It also supplies an instructional guide to be kept within easy reach for regular access and when need arises.

Now that the health community is in a state of reflection, how do we put the lessons learned into practice? As we step back to examine the worldwide response to the COVID-19 pandemic, now is the time to think about how to raise the bar for our response to the next public health emergency. Now is the time to revisit health preparedness strategies and plans. And now is the time to review what the health community did that worked-and how we can do that again. Learning from COVID-19: GIS for Pandemics tells real-life stories about how spatial thinking became invaluable in both local and full-scale outbreaks during the COVID-19 pandemic. Needing to answer the question of "where" sat at the forefront of everyone's mind, and using a geographic information system (GIS) for real-time surveillance transformed possibly overwhelming data into location intelligence that provided agencies and civic leaders with valuable insights. Co-edited by Esri chief medical officer Dr. Este Geraghty, this book highlights best practices, key GIS capabilities, and lessons learned during the COVID-19 response that can help communities prepare for the next crisis. GIS has empowered: Organizations to use human mobility data to estimate the adherence to social distancing guidelines Communities to monitor their health care systems' capacity through spatially enabled surge tools Governments to use location-allocation methods to site new resources (i.e., testing sites and augmented care sites) in ways that account for at-risk and vulnerable populations Communities to use maps and spatial analysis to review case trends at local levels to support reopening of economies Organizations to think spatially as they consider "back-to-the-workplace" plans that account for physical distancing and employee safety needs Learning from COVID-19 also includes a "next steps" section that provides ideas, strategies, tools, and actions to help jump-start your own use of GIS, either as a citizen scientist or a health professional. A collection of online resources, including additional stories, videos, new ideas and concepts, and downloadable tools and content, complements this book. Now is the time to use science and data to make informed decisions for our future, and this book shows us how we can do it.

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

This research volume outlines the scientific foundations that are central to our current understanding of light scattering, absorption and polarization processes involving ice crystals. It also demonstrates how data from satellite remote sensing of cirrus clouds can be combined with radiation parameterizations in climate models to estimate the role of these clouds in temperature and precipitation responses to climate change. Providing a balanced treatment of the fundamentals and applications, this book synthesizes the authors' own work, as well as that of other leading researchers in this area. Numerous illustrations are included, including three-dimensional schematics, to provide a concise discussion of the subject and enable easy visualization of the key concepts. This book is intended for active researchers and advanced graduate students in atmospheric science, climatology, and remote sensing, as well as scholars in related fields such as ice microphysics, electromagnetic wave propagation, geometric optics, radiative transfer and cloud-climate interactions.

The Urban Data Management Society has organised international symposia at various locations throughout Europe since 1971, and UDMS 2013 marks its second visit to London. From its outset, UDMS has highlighted changes and trends in urban data and urban data management. However, the rate of emergence of new data and new technologies has never been as rapid as it is now. Trends including smart cities, smart phones, social media, 3D modelling, volunteered geographic information, building information modelling and the internet of things all generate information about the urban environment and the people who live there. Additionally the volume of data generated in part through such techniques has in turn resulted in research into big data how best to handle the data, analyse it, visualise it in different contexts. Thus the challenges and opportunities facing those working with these new types of urban data are manifold. Given this, the general theme for UDMS 2013 was "Recent and Emerging Trends in the Management of New Urban Data."

This book contains 20 papers selected from the long papers that were submitted for UDMS 2013. Each paper was reviewed by three independent academic reviewers from around the world, both for academic quality and for clarity in communication. The book is intended to be suitable for different readers from city planners and architects to academics, students and policy makers and those involved in urban planning.

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.

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.

Satellite imagery and data are widely used in public health surveillance to provide early warning of disease outbreaks and for averting pandemics. Convergence of these technologies began in the 1970s and has gained wide acceptance in the 21st Century. Environmental Tracking for Public Health Surveillance focuses on the expanding use of satellite sensor imagery and long-term spectral measurements for assessing and modelling Earth's environments in context of public health surveillance. It addresses vector-borne, air-borne, water-borne, and zoonotic diseases, and explores analytical methods for forecasting environmental conditions and their potential for consequent disease outbreaks. Infectious and contagious diseases are of particular interest in this volume because once parasite-vector-human host pathways are triggered by favourable biological circumstances, pandemic diseases can spread to global scale in a matter of hours. The chapters advance readers through three sets of material. Part I reviews the 1970-2012 history of satellite Earth-science surveillance technology that led to linking natural environments to human diseases, and more generally to public health applications. Part II describes specific infectious and contagious diseases and the threat of emerging and re-emerging diseases. Part III explores the kinds of satellite data, modelling, and electronic information systems being developed to expedite health intercessions and responses at local to regional and global scales of reference. Equally important are the extensive reference sections for chapters in Parts II and III. For readers interested in tracking the development of Earth-science technology, these constitute a thorough entree to both the health and environmental literature. The chapters are written jointly by experts in both the health and Earth-science technologies. Each chapter is accompanied by an extensive list of citations to provide background and validation of the current state-of-the-art for a variety of high-interest human diseases and associated health and well-being issues. The importance of day-to-day weather patterns, the impacts of severe weather events and longer-term climate cycles form the basis for developing information systems that meet goals and expectations of national and international health monitoring bodies. Environmental Tracking for Public Health Surveillance provides a state-of-the-art overview on how environmental tracking data from satellite, airborne, and ground-based sensors are being integrated into appropriate geophysical and spatial information system models to enhance public health surveillance and decision-making from local to global levels, and is intended primarily for a cross-disciplinary professional audience consisting of public health decision-makers, spatial data analysts, modelers, Earth observation specialists, and medical researchers.