Fundamentals of GPS receivers covers GPS receivers' theory and practice. The book begins with the basics of GPS receivers and moves onward to more advanced material. The book examines three types of GPS receiver implementations: first is the custom design by the author; second is an industry standard design, now part of the open source network; the third relates to the receiver designed by JPL /NASA. Each receiver is unique allowing the reader to see how each design solves the same problems. Chapters discuss carrier phase measurements and GPS time and frequency measurements. The overall text is measurement oriented as opposed to processing the measurements. With a focus on the fundamentals of measurements the reader will be building their intuition for the physical phenomenon at work.

Geographical Information Systems (GIS) either as standard GIS or custom made Historical GIS (HGIS) have become quite popular in some historical sub-disciplines, such as Economic and Social History or Historical Geography.
Mainstream history, however, seems to be rather unaffected by this trend. More generally speaking: Why is it that computer applications in general have failed to make much headway in history departments, despite the first steps being undertaken a good forty years ago?
With the spatial turn in full swing in the humanities, and many historians dealing with spatial and geographical questions, one would think GIS would be welcomed with open arms. Yet there seems to be no general anticipation by historians of employing GIS as a research tool. As mentioned, HGIS are popular chiefly among Historical Geographers and Social and Economic Historians. The latter disciplines seem to be predestined to use such software through the widespread quantitative methodology these disciplines have employed traditionally. Other historical sub-disciplines, such as Ancient History, are also very open to this emerging technology since the scarcity of written sources in this field can be mitigated by inferences made from an HGIS that has archaeological data stored in it, for example. In most of Modern History, however, the use of GIS is rarely seen. The intellectual benefit that a GIS may bring about seems not be apparent to scholars from this sub-discipline (and others).
This book wants to investigate and discuss this controversy. Why does the wider historian community not embrace GIS more readily? While one cannot deny that the methodologies linked with a GIS follow geographical paradigms rather than historical ones, the potential of GIS as a 'killer application' for digital historical scholarship should be obvious.
This book brings together authors from Geography and History to discuss the value of GIS for historical research. The focus, however, will not be on the "how," but on the "why" of GIS in history.

Within the framework of Ispra Courses, a course on "Applications of Remote Sensing to Agrometeorology" was held from April 6th to 10th, 1987 at the Joint Research Centre of the European Communities, Ispra Italy. The purpose of the course was to familiarize scientists, active in Agrometeorology and related fields, with remote sensing techniques and their potential applications in their respective disciplines. Conventional ground investigations in various fields of natural sciences such as hydrology, pedology and agrometeorology can be supple mented by a range of instruments carried by airborne or earth orbiting platforms. The last few years, in particular, have seen many developments in this respect and a growing amount of information can now be derived not only from dedicated earth resources satellites such as the LANDSAT and SPOT, but also from other platforms such as METEOSAT and the series of NOAA-TIROS. Future platforms (ERS-l, Space Station, etc.) with their advanced sensors will further broaden the range of applications open to the investigators. The use of these data sources, together with field investigations, can lead, at a reduced cost, to a better characterization of the spatial and temporal properties of natural systems.

Provides a global perspective on drought prediction and management and a synthesis of the recent state of knowledge. Covers a wide range of topics from essential concepts and advanced techniques for forecasting and modeling drought to societal impacts, consequences, and planning. Presents numerous case studies with different management approaches from different regions and countries. Addresses how climate change impacts drought, the increasing challenges associated with managing drought, decision making, and policy implications. Includes contributions from hundreds of experts around the world.

An essential tool for crime analysts looking to enhance the quality and efficiency of their crime mapping using ArcGIS Pro. Modern Policing Using ArcGIS Pro is an easy-to-use hands-on guide for crime analysts of any skill level. Crime mapping and spatial analysis play a key role in a variety of day-to-day police functions, and with ArcGIS Pro, crime analysts can enhance the efficiency of their workflow and the quality of their crime-mapping products. Designed to be immediately useful and practical for all users, Modern Policing's scaffolded approach allows users to incrementally develop their skills. Real-world case studies from crime analysts and applied research projects demonstrate the spatial analysis techniques necessary to support evidence-based policing. The findings of these case studies are discussed via research and crime analysis highlights, with self-guided exercises that walk the user through the steps of performing the analysis. Key topics include: Geoprocessing and filtering data Identifying hot spots Using spatial statistics for predictive analysis Automating tasks Using ArcGIS Pro for problem analysis, crime analysts can create crime prevention strategies, measure program outputs to gauge program implementation, and conduct evaluations to determine whether crime control strategies are having the desired impact. Covering strategic analysis, predictive analysis, workflow automation and more, Modern Policing Using ArcGIS Pro is essential for crime analysts looking to bring value to their agencies' operations through crime and data analysis.

This comprehensive Handbook summarizes existing work and presents new concepts and empirical results from leading scholars in the multidisciplinary field of behavioral and cognitive geography, the study of the human mind, and activity in and concerning space, place, and environment. It provides the broadest and most inclusive coverage of the field so far, including work relevant to human geography, cartography, and geographic information science. Behavioral and cognitive geography originated as a contrast to aggregate approaches to human geography that treat people as homogenous and interchangeable; to models of human activity based on simplistic and psychologically implausible assumptions; and to conceptualizations of humans as passive responders to their environment. This Handbook is highly multi- and interdisciplinary, featuring scholars from geography, geographic information science, and more than ten other academic disciplines; including: psychology, linguistics, computer science, engineering, architecture and planning, anthropology, and neuroscience. The contributors adhere to scientific rigor in their approach, while fully engaging with issues of emotion, subjectivity, consciousness, and human variability. Thoroughly informed by the history of geography and of the cognitive sciences but also providing guideposts for future research and application, this Handbook will be an essential resource for researchers, lecturers and students in geography, psychology, and other social, behavioral, cognitive, and design sciences. Contributors include: P. Agarwal, A.P. Boone, T.T. Brunye, H. Burte, R.C. Dalton, C. Davies, R.M. Downs, S.I. Fabrikant, A.L. Gardony, N.A. Giudice, P. Gober, K.G. Goulias, S. Hadavi, M. Hegarty, S.C. Hirtle, C. Hoelscher, T. Ishikawa, P. Jankowski, J. Krukar, C.A. Lawton, H.J. Miller, D.R. Montello, J. Portugali, M. Raubal, V.R. Schinazi, W.C. Sullivan, H.A. Taylor, T. Tenbrink, T. Thrash, P.M. Torrens, D.H. Uttal

Provides a global perspective on drought prediction and management and a synthesis of the recent state of knowledge. Covers a wide range of topics from essential concepts and advanced techniques for forecasting and modeling drought to societal impacts, consequences, and planning Presents numerous case studies with different management approaches from different regions and countries. Addresses how climate change impacts drought, the increasing challenges associated with managing drought, decision making, and policy implications. Includes contributions from hundreds of experts around the world.

Provide the applications of remote sensing in all fields through varied case studies and spatial data analysis Includes soil and land degradation, micro climates, watershed management and planning Covers remote sensing applications in broad areas of agriculture, hydrology, land use, resource analysis and urban problems Discusses usage of GPS enabled smart phones and digital gadgets used for mapping and spatial analysis Explores applications of remote sensing in disaster management and planning

One of the major difficulties in predicting the capacity of pipe piles in sand has resulted from a lack of understanding of the physical processes that control the behavior of piles during installation and loading.

This monograph presents a detailed blue print for developing experimental facilities necessary to identify these processes. These facilities include a unique instrumented double-walled pipe-pile that is used to delineate the frictional stresses acting against the external and internal surfaces of the pile. The pile is fitted with miniature pore-pressure transducers to monitor the generation of pore water pressure during installation and loading. A fast automatic laboratory pile hammer capable of representing the phenomena that occur during pile driving was also developed and used.

The International Symposium on Spatial Data Handling is the premier research forum for Geographic Information Science. The Symposium is particularly strong in respect to identifying significant new developments in this field. The papers published in this volume are carefully refereed by an international programme committee composed of experts in various areas of GIS who are especially renowned for their scientific innovation.

This book provides applications of wireless sensor networks (WSN) in environmental monitoring, with an emphasis on livestock disease detection and agricultural management in Africa to aid farmers. This proposed system entails current and innovative monitoring technologies intended to improve agricultural conditions in Africa, with a focus on Botswana, and addresses the Internet of Things (IoT) as a set of remote monitoring protocols using WSNs to improve and ensure proper environmental maintenance. In this book, the author introduces WSNs, and how the IoT can be applied to develop a system of "smart agriculture" in Africa, taking into account livestock health, climate change impacts on crops and wildlife, and technological innovations in response to climate change such as windmills and solar panels. The book will be interesting to students and researchers in engineering and life sciences, as well as practitioners working with sensing technologies for agricultural monitoring and improvement.

This book presents a systematic analysis of challenges in the field of Geographical Information Systems and Science, geographical analysis, and regional science for Ontario, one of the fastest-changing provinces in Canada and one of North America's largest economic hubs. In nine chapters, the book offers advanced spatial analysis techniques and digital data content to integrate Geographic Information Systems (GIS) as tools to tackle regional and urban challenges. The chapters address the following main topics: 1) state-of-the-art approaches for regional discrepancies, 2) investigations of available methods for advanced spatial analysis, 3) identification of regional patterns and land use dynamics, 4) availability of Web 3.0 data content for regions without standardized data, and 5) the limitations and challenges of urbanization and its impact on landscape, heritage and ecosystems.   The volume is divided into four sections dealing with key issues in Ontario, each addressing the use of GIS for crucial regional decision-making. The book will be of interest to researchers, undergraduate and graduate students, planners, regional scientists, and policy makers.

Diminishing water resources are becoming of increasing concern because in many countries the sources of drinking water are close to being exhausted. Therefore, there is an urgent need to study and assess the various components of global water resources, of which freshwater lakes are one of the most important. This book discusses contemporary limnological problems on a local, regional and global scale with special emphasis on the application of remote-sensing techniques to monitor lake dynamics, thermodynamics, biodynamics and water quality. An interactive approach is used to assess various processes from both the numerical modelling and observational standpoints. The authors recommend a combined use of in situ and remote-sensing data, giving a specific comparative analysis of the lakes of north-western Russia and the American Great Lakes as an illustration. The role of GIS is discussed and emphasised.

This book presents essential information on modern location science - in a word, all you need to know about location. The second edition of this handbook has been fully revised throughout, with numerous updates and chapters added, to offer an even more comprehensive overview of methods and applications. The book is divided into three parts: basic concepts, advanced concepts and applications. Written by the most respected specialists in the field and thoroughly reviewed by the editors, it first lays out the fundamental problems in location science and provides readers with basic background information on location theory. Part II covers advanced models and concepts, broadening and expanding on the content presented in Part I. It also discusses important tools to help readers grasp and solve real-world location problems. Part III focuses on the links between location science and other areas like GIS, telecommunications, healthcare, rapid transit networks, districting problems and disaster events, and presents a wide range of applications to allow readers to understand the role of facility location in such areas and learn how to handle real-world location problems. The book is intended for researchers working on theory and applications involving location problems and models. It is also suitable as a textbook for graduate courses on facility location.

"Remote Sensing Applications in Environmental Research "is the basis for advanced Earth Observation (EO) datasets used in environmental monitoring and research. Now that there are a number of satellites in orbit, EO has become imperative in today s sciences, weather and natural disaster prediction. This highly interdisciplinary reference work brings together diverse studies on remote sensing and GIS, from a theoretical background to its applications, represented through various case studies and the findings of new models. The book offers a comprehensive range of contributions by well-known scientists from around the world and opens a new window for students in presenting interdisciplinary and methodological resources on the latest research. It explores various key aspects and offers state-of-the-art research in a simplified form, describing remote sensing and GIS studies for those who are new to the field, as well as for established researchers."

Estimating evapotranspiration (ET) has been one of the most critical research areas in agriculture because of water scarcity, the growing population, and climate change. The accurate estimation and mapping of ET are necessary for crop water management. Traditionally, researchers use water balance, soil moisture, weighing lysimeters, or an energy balance approach, such as Bowen ratio or eddy covariance towers to estimate ET. However, these ET methods are point-specific or area-weighted measurements and cannot be extended to a large scale. On the other hand, while remote sensing is able to provide spatially distributed measurements, the spatial resolution of multispectral satellite images is often not enough for crops with clumped canopy structures, such as trees and vines. Unmanned aerial vehicles (UAVs) can mitigate these spatial and temporal limitations. Lightweight cameras and sensors can be mounted on the UAVs and take high-resolution images. Unlike satellite imagery, the spatial resolution of the UAV images can be at the centimeter-level. UAVs can also fly on-demand, which provides high temporal imagery. This book examines the different UAV-based approaches of ET estimation. Models and algorithms, such as mapping evapotranspiration at high resolution with internalized calibration (METRIC), the two-source energy balance (TSEB) model, and machine learning (ML) are discussed. It also covers the challenges and opportunities for UAVs in ET estimation, with the final chapters devoted to new ET estimation methods and their potential applications for future research.

This book highlights advanced applications of geospatial data analytics to address real-world issues in urban society. With a connected world, we are generating spatial at unprecedented rates which can be harnessed for insightful analytics which define the way we analyze past events and define the future directions. This book is an anthology of applications of spatial data and analytics performed on them for gaining insights which can be used for problem solving in an urban setting. Each chapter is contributed by spatially aware data scientists in the making who present spatial perspectives drawn on spatial big data. The book shall benefit mature researchers and student alike to discourse a variety of urban applications which display the use of machine learning algorithms on spatial big data for real-world problem solving.

Space-time analysis is a rapidly growing research frontier in geography, GIS, and GIScience. Advances in integrated GPS/GIS technologies, the availability of large datasets (over time and space), and increased capacity to manage, integrate, model and visualize complex data in (near) real time, offer the GIS and geography communities extraordinary opportunities to begin to integrate sophisticated space-time analysis and models in the study of complex environmental and social systems, from climate change to infectious disease transmission.

This volume specifically focuses on research frontiers, comparative research, and research and application interactions in this field in the US and China, arguably the two most dynamic loci for this work today. The contributions to this book, by top researchers in China and the US, productively highlight the differences and similarities in approaches and directions for space-time analysis in the two countries. In light of the recent rapid progress in GIScience research on space-time integration in both countries, the book s focus on research frontiers in these two countries will attract great interest in both countries and in other parts of the world as well as among related disciplines. In addition, the book also explores the impact of collaborative research and publications underway in this area between the US and China and will provide an overview of these collaborative efforts and programs.

This book will not only be of interest to university-based GIS researchers and students, but also to those interested in this new area of research and applications like researchers and developers in business, internet mapping and GIS and location based services (LBS)."

This monograph is a fundamental study of watershed erosion and runoff processes. It utilizes decades of soil erosion data to take a comprehensive and balanced approach in covering various watershed erosion processes. While there are many works on soil erosion and conservation, this book fills the gaps in previously published research by focusing more on mass movement, gully erosion, soil piping/tunnel erosion, and the spatial interactions of different erosion processes. Additionally, the book examines erosion processes in extreme rainfall events, something typically absent in short-term studies but discussed in detail here as the book draws on 60 years of research and observations, including 30 years of the author's own investigations of erosion under a wide range of rainfall conditions. The book is divided into 3 parts, and is intended for soil erosion researchers and practitioners, and postgraduate students studying soil erosion and water conservation. Part 1 opens with a comprehensive and critical review of existing literature on soil erosion processes, discusses this book's place among existing literature, and examines the major erosion processes (rainwash, gully erosion, tunnel erosion, and mass movements) including their controlling factors and mechanisms. Part 2 explores the spatial interactions of these different erosion processes to provide a prerequisite for effective design of comprehensive soil erosion control measures in a watershed. Part 3 evaluates the relative significance of these erosion processes in sediment production, the effectiveness of comprehensive soil and water conservation programs, and the applications of watershed modelling in determining the impact of land-use changes on soil erosion and other ecological processes.

Advanced Remote Sensing: Terrestrial Information Extraction and Applications, Second Edition, is a thoroughly updated application-based reference that provides a single source on the mathematical concepts necessary for remote sensing data gathering and assimilation. It presents state-of-the-art techniques for estimating land surface variables from a variety of data types, including optical sensors like RADAR and LIDAR. The book provides scientists in a number of different fields, including geography, geophysics, geology, atmospheric science, environmental science, planetary science and ecology with access to critically-important data extraction techniques and their virtually unlimited applications. While rigorous enough for the most experienced of scientists, the techniques presented are well designed and integrated, making the book's content intuitive and practical in its implementation.

This book presents a comprehensive coverage of remote sensing technology used to gather information on 12 types of natural hazards in the terrestrial sphere, biosphere, hydrosphere, and atmosphere. It clarifies in detail how to yield spatial and quantitative data on a natural hazard, including its spatial distribution, severity, causes, and the likelihood of occurrence. The author explains multiple methods of attaining data, describes the pros and cons of each method, and encourages readers to choose the best method applicable to their case. The author offers a practical approach to data analysis using the most appropriate methods and software. 1. Covers all major natural hazards including hurricanes, tornadoes, wildfires, and avalanches. 2. Studies each natural hazard holistically, ranging from spatial extent, severity, impact assessment, causes, and prediction of occurrence. 3. Explains different remotely sensed data and the most appropriate method used. 4. Compares different ways of sensing and clarifies the pros and cons of any selected data or their analysis. 5. Provides ample examples of each aspect of a natural hazard studied augmented with graphic illustrations and quality assurance information. All professionals working in the field of natural hazards, senior undergraduate, and graduate students, will find in-depth approaches and sufficient information to become knowledgeable in the methods of yielding and analyzing data provided with remote sensing technology, ultimately providing a deeper understanding of natural hazards.

This book is designed to help students and researchers understand the latest research and development trends in the domain of geospatial information and communication (GeoICT) technologies. Accordingly, it covers the fundamentals of geospatial information systems, spatial positioning technologies, and networking and mobile communications, with a focus on OGC and OGC standards, Internet GIS, and location-based services. Particular emphasis is placed on introducing GeoICT as an integrated technology that effectively bridges various information-technology domains.

Hyperspectral Imaging, Volume 32, presents a comprehensive exploration of the different analytical methodologies applied on hyperspectral imaging and a state-of-the-art analysis of applications in different scientific and industrial areas. This book presents, for the first time, a comprehensive collection of the main multivariate algorithms used for hyperspectral image analysis in different fields of application. The benefits, drawbacks and suitability of each are fully discussed, along with examples of their application. Users will find state-of-the art information on the machinery for hyperspectral image acquisition, along with a critical assessment of the usage of hyperspectral imaging in diverse scientific fields.