This is an introduction to recent developments in the application of wave-splitting methods to direct and inverse scattering of wave fields. Here wave-splitting refers to the decomposition of the total field into two components which propagate in opposite directions. Although the text emphasizes time domain methods, it includes some applications to frequency domain problems.

Image registration employs digital image processing in order to bring two or more digital images into precise alignment for analysis and comparison. Accurate registration algorithms are essential for creating mosaics of satellite images and tracking changes on the planet's surface over time. Bringing together invited contributions from thirty-six distinguished researchers, the book presents a detailed overview of current research and practice in the application of image registration to remote sensing imagery. Chapters cover the problem definition, theoretical issues in accuracy and efficiency, fundamental algorithms, and real-world case studies of image registration software applied to imagery from operational satellite systems. This book provides a comprehensive and practical overview for Earth and space scientists, presents image processing researchers with a summary of current research, and can be used for specialised graduate courses.

Satellite remote sensing, in particular by radar altimetry, is a crucial technique for observations of the ocean surface and of many aspects of land surfaces, and of paramount importance for climate and environmental studies. This book provides a state-of-the-art overview of the satellite altimetry techniques and related missions, and reviews the most-up-to date applications to ocean dynamics and sea level. It also discusses related space-based observations of the ocean surface and of the marine geoid, as well as applications of satellite altimetry to the cryosphere and land surface waters; operational oceanography and its applications to navigation, fishing and defense.

This book provides insights into the benefits of using remote sensing data from a geoscientist's perspective, by integrating the data with the understanding of Earth's surface and subsurface. In 3 sections, the book takes a detailed look at what data explorationists use when they explore for hydrocarbon resources, assess different terrain types for planning and hazards and extract present-day geologic analogs for subsurface geologic settings. The book presents the usage of remote sensing data in exploration in a structured way by detecting individual geologic features as building blocks for complex geologic systems. This concept enables readers to build their own workflows for the assessment of complex geologic systems using various combinations of remote sensing data. Section 1 introduces readers to the foundations of remote sensing for exploration, covers various methods of image processing and studies different digital elevation and bathymetry models. Section 2 presents the concept of geomorphology as a means to integrate surface and subsurface data. Different aspects of rendering in 2D and 3D are explained and used for the interpretation and extraction of geologic features that are used in exploration. Section 3 addresses remote sensing for hydrocarbon exploration in detail, from geophysical data acquisition to development and infrastructure planning. The organization of this chapter follows an exploration workflow from regional to local modeling studying basin and petroleum system modeling as well as logistics planning of seismic surveys and near-surface modeling. Aspects of field development and infrastructure planning comprise multi-temporal and dynamic modeling. The section closes with a structured approach to extracting geologic analogs from interpreted remote sensing data. The book will be of interest to professionals and students working in exploration for hydrocarbons and water resources, as well as geoscientists and engineers using remote sensing for infrastructure planning, hazard assessment and dynamic environmental studies.

This volume presents the conference proceedings from FinDrones2020. The book highlights recent developments in drone technology by experts, academicians, and entrepreneurs for applications in agriculture, forestry, and other industries. Emphasis is placed on contextualizing the conference presentations and content to Finland and the unique challenges typical to this region. The work will be of interest to academicians and professionals involved in remote sensing applications of unmanned aerial vehicles, as well as enthusiasts of drone technological developments.

Remote sensing and geographic information systems (GIS) are inherently linked technologies. Together, they form a powerful tool to measure, map, monitor and model resources and environmental data for both scientific and commercial applications. Originally published in 1997, this book brought together work by leaders in the field to address improved techniques, applications and research in integrated remote sensing and geographical information systems. Among the topics covered are image rectification, change detection, visualisation, computer modelling, local land use planning, requirements of GIS in global change research, and potential directions for research. Remote sensing and GIS play a key role in studies of water resources, air quality, topography, land cover, and population location and dynamics, and specialists working at the local, regional and global levels will find this book a valuable and stimulating resource.

This open access book contains 30 peer-reviewed papers based on presentations at the 27th General Assembly of the International Union of Geodesy and Geophysics (IUGG). The meeting was held from July 8 to 18, 2019 in Montreal, Canada, with the theme being the celebration of the centennial of the establishment of the IUGG. The centennial was also a good opportunity to look forward to the next century, as reflected in the title of this volume. The papers in this volume represent a cross-section of present activity in geodesy, and highlight the future directions in the field as we begin the second century of the IUGG. During the meeting, the International Association of Geodesy (IAG) organized one Union Symposium, 6 IAG Symposia, 7 Joint Symposia with other associations, and 20 business meetings. In addition, IAG co-sponsored 8 Union Symposia and 15 Joint Symposia. In total, 3952 participants registered, 437 of them with IAG priority. In total, there were 234 symposia and 18 Workshops with 4580 presentations, of which 469 were in IAG-associated symposia.

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.

This book presents the distinctive theoretical and methodological approaches in geography education in South America and more specifically in Brazil, Chile and Colombia. It highlights cartography and maps as essential tools and provides a meaningful approach to learning in geographical education, thereby giving children and young people the opportunity to better understand their situations, contexts and social conditions. The book describes how South American countries organize their scholar curriculum and the ways in which they deal with geography vocabulary and developing fundamental concepts, methodologies, epistemological comprehension on categories, keywords and themes in geography. It also describes its use in teachers' practices and learning progressions, the use of spatial representations as a potent mean to visualize and solve questions, and harnesses spatial thinking and geographical reasoning development. The book helps to improve teaching and learning practices in primary and secondary education and as such it provides an interesting read for researchers, students, and teachers of geography and social studies.

This book discusses theoretical backgrounds, techniques and methodologies, and applications of the current state-of-the-art human dynamics research utilizing social media and geospatial big data. It describes various forms of social media and big data with location information, theory development, data collection and management techniques, and analytical methodologies to conduct human dynamics research including geographic information systems (GIS), spatiotemporal data analytics, text mining and semantic analysis, machine learning, trajectory data analysis, and geovisualization. The book also covers applied interdisciplinary research examples ranging from disaster management, public health, urban geography, and spatiotemporal information diffusion. By providing theoretical foundations, solid empirical research backgrounds, techniques, and methodologies as well as application examples from diverse interdisciplinary fields, this book will be a valuable resource to students, researchers and practitioners who utilize or plan to employ social media and big data in their work.

This open access book represents a comprehensive review of available land-use cover data and techniques to validate and analyze this type of spatial information. The book provides the basic theory needed to understand the progress of LUCC mapping/modeling validation practice. It makes accessible to any interested user most of the research community's methods and techniques to validate LUC maps and models. Besides, this book is enriched with practical exercises to be applied with QGIS. The book includes a description of relevant global and supra-national LUC datasets currently available. Finally, the book provides the user with all the information required to manage and download these datasets.

This book comprises select proceedings of the International Conference on Trends and Recent Advances in Civil Engineering (TRACE 2020). The volume focuses on latest research works carried out in the area of water resources and transportation engineering. The topics include technological intervention and solution for water security, sustainability in water resources and transportation infrastructure, crop protection, resilience to disaster like flood, hurricane and drought, traffic congestion, transport planning etc. It aims to address broad spectrum of audience by covering inter-disciplinary innovative research and applications in these areas. It will be useful to graduate students, researchers, scientists, and practitioners working in water resources and transportation engineering domain.

This edited volume covers many aspects of the Metropolitan Landscapes. Solutions are needed to meet the demand of the citizens of a renewed metropolitan region landscape. It opens up discussions about possible toolkits for strategic actions based on understanding the territory from geographical, urban, architectural, economic, environmental, and public policy perspectives. This book intends to promote the Metropolitan dwelling quality, ensuring human well-being proposing a discussion on the resilient articulation of the interface space among the city's infrastructure, agriculture, and nature. This book results from the Symposium: Metropolitan Landscapes that MSLab of the Politecnico di Milano and ETSA (Sevilla) organized at the IALE 2019 Conference (Milan, July 2019) to manage radical territory transformation with a strategic vision. The widespread growth of urban areas indicates the importance of building resilient sustainable cities capable of minimizing climate-change impact production. The Symposium aimed to discuss the Urban Metabolism approach considering the combination of Landscapes set in a single Metropolitan Ecosystem. Accordingly, new design strategies of transformation, replacement or maintenance can compose Urban-Rural Linkage patterns and a decalage of different landscape contexts. Ecological interest in environmental sustainability, compatibility, and resilience is not tied exclusively to the balance between production and energy consumption. Thus, it is the integration over time and at several scales of the urban and rural landscapes and their inhabitants that nourish the Metropolitan Bioregion. Moreover, the Metropolitan Landscape Book's research hypothesis is the need for a Glossary, strengthening the basis of understanding Metropolitan Landscape's complexity. This book's topic is particularly relevant to Landscape Urbanism, Architecture, Urban disciplines Scholars, Students and Practitioners who want to be connected in a significant way with Metropolitan Discipline's research field.

Northern Tanzania is an important and diverse ecological and cultural region with many protected lands. This book, Protected Areas in Northern Tanzania, brings to the forefront research on significant issues and developments in conservation and management in national parks and protected lands in northern Tanzania. The book draws attention to issues at the intersection of conservation, tourism, and community livelihood, and several studies use geospatial technologies-Geographic Information Systems and remote sensing data and techniques-to study land use and land cover conversion. With contributions from professors at the Mweka College of African Wildlife Management located at the foot of Mount Kilimanjaro and other Tanzanian researchers, the book provides important perspectives of local experts and practitioners. Protected Areas in Northern Tanzania provides a significant contribution in research and technological advancement in the areas of wildlife conservation and protected land management throughout this critical region.

Over the past century, mechanization has been an important means for optimizing resource utilization, improving worker health and safety and reducing labor requirements in farming while increasing productivity and quality of 4F (Food, Fuel, Fiber, Feed). Recognizing this contribution, agricultural mechanization was considered as one of the top ten engineering achievements of 20th century by the National Academy of Engineering. Accordingly farming communities have adopted increasing level of automation and robotics to further improve the precision management of crops (including input resources), increase productivity and reduce farm labor beyond what has been possible with conventional mechanization technologies. It is more important than ever to continue to develop and adopt novel automation and robotic solutions into farming so that some of the most complex agricultural tasks, which require huge amount of seasonal labor such as fruit and vegetable harvesting, could be automated while meeting the rapidly increasing need for 4F. In addition, continual innovation in and adoption of agricultural automation and robotic technologies is essential to minimize the use of depleting resources including water, minerals and other chemicals so that sufficient amount of safe and healthy food can be produced for current generation while not compromising the potential for the future generation. This book aims at presenting the fundamental principles of various aspects of automation and robotics as they relate to production agriculture (the branch of agriculture dealing with farming operations from field preparation to seeding, to harvesting and field logistics). The building blocks of agricultural automation and robotics that are discussed in the book include sensing and machine vision, control, guidance, manipulation and end-effector technologies. The fundamentals and operating principles of these technologies are explained with examples from cutting-edge research and development currently going on around the word. This book brings together scientists, engineers, students and professionals working in these and related technologies to present their latest examples of agricultural automation and robotics research, innovation and development while explaining the fundamentals of the technology. The book, therefore, benefits those who wish to develop novel agricultural engineering solutions and/or to adopt them in the future.

GeoComputation and Public Health is fundamentally a multi-disciplinary book, which presents an overview and case studies to exemplify numerous methods and solicitations in addressing vectors borne diseases (e.g, Visceral leishmaniasis, Malaria, Filaria). This book includes a practical coverage of the use of spatial analysis techniques in vector-borne disease using open source software solutions. Environmental factors (relief characters, climatology, ecology, vegetation, water bodies etc.) and socio-economic issues (housing type & pattern, education level, economic status, income level, domestics' animals, census data, etc) are investigated at micro -level and large scale in addressing the various vector-borne disease. This book will also generate a framework for interdisciplinary discussion, latest innovations, and discoveries on public health. The first section of the book highlights the basic and principal aspects of advanced computational practices. Other sections of the book contain geo-simulation, agent-based modeling, spatio-temporal analysis, geospatial data mining, various geocomputational applications, accuracy and uncertainty of geospatial models, applications in environmental, ecological, and biological modeling and analysis in public health research. This book will be useful to the postgraduate students of geography, remote sensing, ecology, environmental sciences and research scholars, along with health professionals looking to solve grand challenges and management on public health.

This book introduces readers to the algorithm of Compass & GPS dual-system software receivers, and to the software implementation. It provides detailed descriptions of key theories in the fields of signal processing, communication, control, and signal estimation. The book is based on the author's extensive experience in GNSS receiver design. The MATLAB script developed for this book demonstrates most of the key theories and equips the reader with excellent tools for practicing them.

This volume uniquely presents case studies on health geography in Africa, and analyzes health practices in different African regions to illustrate a unified perspective to the geographies of health. The book describes various contemporary and traditional themes that have characterized the discipline of health geography, and uses its 13 case studies across 14 chapters to challenge the perceived dichotomy between health geography and medical geography among health researchers and practitioners. In 3 sections, the book provides readers with a comprehensive and interdisciplinary approach to understanding health geography in Africa. The first chapter introduces the major theories and perspectives in health geography, and how these characteristics apply to health geography practices in Africa. Section 1 discusses the different uses of space-based analyses in health geography, including geo-data infrastructures, geographies of disease burden, spatial epidemiology, spatially precise public health, and spatial access to health. Section 2 discusses the different uses of place-based analyses in health geography, including health representation, healthcare access, food allergies, and health determinants. Section 3 addresses how geography is incorporated into decision processes in Africa, and how policy planning shapes health-related interventions at the population and individual level. The case studies here discuss geo-enabling health records, health policy, public health planning, and mobile health geographies.

Volcanoes have terrified and, at the same time, fascinated civilizations for thousands of years. Many aspects of volcanoes, most notably the eruptive processes and the compositional variations of magma, have been widely investigated for several decades and today constitute the core of any volcanology textbook. Nevertheless, in the last two decades, boosted by the availability of volcano monitoring data, there has been an increasing interest in the pre-eruptive processes related to the shallow accumulation and to the transfer of magma approaching the surface, as well as in the resulting structure of volcanoes. These are innovative and essential aspects of modern volcanology and, as driving volcanic unrest, their understanding also improves hazard assessment and eruption forecasting. So far, the significant progress made in unravelling these volcano-tectonic processes has not been supported by a comprehensive overview. This monograph aims at filling this gap, describing the pre-eruptive processes related to the structure, deformation and tectonics of volcanoes, at the local and regional scale, in any tectonic setting. The monograph is organized into three sections ("Fundamentals", "Magma migration towards the surface" and "The regional perspective"), consisting of thirteen chapters that are lavishly illustrated. The reader is accompanied in a journey within the volcano factory, discovering the processes associated with the shallow accumulation of magma and its transfer towards the surface, how these control the structure of volcanoes and their activity and, ultimately, improve our ability to estimate hazard and forecast eruption. The potential readership includes any academic, researcher and upper undergraduate student interested in volcanology, magma intrusions, structural geology, tectonics, geodesy, as well as geology and geophysics in general.

This book integrates spatial analysis into the study and management of conflicts, and offers a model in conflict studies that incorporates theoretical explanations of conflict, its causes, and impacts, with a geospatial strategy for intervening in disputes over allocation and use of natural resources (connects theory and practice). Alongside a theoretical analysis of resource conflicts and an account of Participatory Mapping and PGIS development, this book provides a case study of GIS applications in conflict mediation. The book also lays out a practical and straightforward demonstration of PGIS applications in conflict management using a real-world case study, and traces the Participatory Mapping and PGIS movements' evolution, compares PPGIS and PGIS practices, and makes distinctions between traditional GIS applications and PGIS practice. The approach embodies the enhanced use of spatial information and media, sets of tools for analyzing, mapping, and displaying spatial data and a platform for participatory discussions that enhances consensus-building. The book, therefore, contributes to the search for novel approaches for managing current and emerging conflicts. With this book, resource managers, development practitioners, students, and scholars of Participatory Mapping and PGIS applications and conflict studies will be equipped with the principles, skills, and the tools they need to manage non-violent resource conflicts and keep the disputes from slipping into violence. The book will also be a valuable text for basic and advanced studies in Participatory Mapping and PGIS applications, Conflict Resolution and Conflict Management.

Theoretical foundations of atmospheric remote sensing are electromagnetic theory, radiative transfer and inversion theory. This book provides an overview of these topics in a common context, compile the results of recent research, as well as fill the gaps, where needed. The following aspects are covered: principles of remote sensing, the atmospheric physics, foundations of the radiative transfer theory, electromagnetic absorption, scattering and propagation, review of computational techniques in radiative transfer, retrieval techniques as well as regularization principles of inversion theory. As such, the book provides a valuable resource for those who work with remote sensing data and want to get a broad view of theoretical foundations of atmospheric remote sensing. The book will be also useful for students and researchers working in such diverse fields like inverse problems, atmospheric physics, electromagnetic theory, and radiative transfer.

Get up and running with the basics of geographic information systems (GIS), geospatial analysis, and machine learning on spatial data in Python. This book starts with an introduction to geodata and covers topics such as GIS and common tools, standard formats of geographical data, and an overview of Python tools for geodata. Specifics and difficulties one may encounter when using geographical data are discussed: from coordinate systems and map projections to different geodata formats and types such as points, lines, polygons, and rasters. Analytics operations typically applied to geodata are explained such as clipping, intersecting, buffering, merging, dissolving, and erasing, with implementations in Python. Use cases and examples are included. The book also focuses on applying more advanced machine learning approaches to geographical data and presents interpolation, classification, regression, and clustering via examples and use cases. This book is your go-to resource for machine learning on geodata. It presents the basics of working with spatial data and advanced applications. Examples are presented using code (accessible at github.com/Apress/machine-learning-geographic-data-python) and facilitate learning by application. What You Will Learn Understand the fundamental concepts of working with geodata Work with multiple geographical data types and file formats in Python Create maps in Python Apply machine learning on geographical data Who This Book Is For Readers with a basic understanding of machine learning who wish to extend their skill set to analysis of and machine learning on spatial data while remaining in a common data science Python environment

This book focuses on monitoring and assessing various environmental processes in Tunisia using state-of-the-art remote sensing and GIS technologies. In addition to addressing the diversity of Tunisian landscapes and providing spatial analysis of natural, cultivated and urbanized environments. It presents and discusses several case studies on integrated RS / GIS approaches for mapping, modeling, monitoring and evaluation. Moreover, in this volume authored by experts in the topic from Tunisia and other countries, authors assess the agro-environmental applications from Tunisia and offer different methods and applications to environmental processes and risks including drought, degradation, flood, planning, Yield estimation, dust storm detection, dry land vulnerability, wetland dynamics and others. The material presented here will help decision-makers plan sustainable landscape and agricultural management policies that preserve biodiversity and contribute to achieving sustainability goals and for researchers, it will expose methodological approaches used in different fields of research. Graduate students and Practionioner engineers working in the field of RS/GIS will also benefit from the book. The book ends with a set of conclusions and recommendations to support researchers underscoring the need for further research in this area.

Geographic Information Systems (GIS) provide a powerful tool for the investigation of species-habitat relationships and the development of wildlife management and conservation programs. However, the relative ease of data manipulation and analysis using GIS, associated landscape metrics packages, and sophisticated statistical tests may sometimes cause investigators to overlook important species-habitat functional relationships. Additionally, underlying assumptions of the study design or technology may have unrecognized consequences. This volume examines how initial researcher choices of image resolution, scale(s) of analysis, response and explanatory variables, and location and area of samples can influence analysis results, interpretation, predictive capability, and study-derived management prescriptions. Overall, most studies in this realm employ relatively low resolution imagery that allows neither identification nor accurate classification of habitat components. Additionally, the landscape metrics typically employed do not adequately quantify component spatial arrangement associated with species occupation. To address this latter issue, the authors introduce two novel landscape metrics that measure the functional size and location in the landscape of taxon-specific 'solid' and 'edge' habitat types. Keller and Smith conclude that investigators conducting GIS-based analyses of species-habitat relationships should more carefully 1) match the resolution of remotely sensed imagery to the scale of habitat functional relationships of the focal taxon, 2) identify attributes (explanatory variables) of habitat architecture, size, configuration, quality, and context that reflect the way the focal taxon uses the subset of the landscape it occupies, and 3) match the location and scale of habitat samples, whether GIS- or ground-based, to corresponding species' detection locations and scales of habitat use.

The book introduces two domains namely Remote Sensing and Digital Image Processing. It discusses remote sensing, texture, classifiers, and procedures for performing the texture-based segmentation and land cover classification. The first chapter discusses the important terminologies in remote sensing, basics of land cover classification, types of remotely sensed images and their characteristics. The second chapter introduces the texture and a detailed literature survey citing papers related to texture analysis and image processing. The third chapter describes basic texture models for gray level images and multivariate texture models for color or remotely sensed images with relevant Matlab source codes. The fourth chapter focuses on texture-based classification and texture-based segmentation. The Matlab source codes for performing supervised texture based segmentation using basic texture models and minimum distance classifier are listed. The fifth chapter describes supervised and unsupervised classifiers. The experimental results obtained using a basic texture model (Uniform Local Binary Pattern) with the classifiers described earlier are discussed through the relevant Matlab source codes. The sixth chapter describes land cover classification procedure using multivariate (statistical and spectral) texture models and minimum distance classifier with Matlab source codes. A few performance metrics are also explained. The seventh chapter explains how texture based segmentation and land cover classification are performed using the hidden Markov model with relevant Matlab source codes. The eighth chapter gives an overview of spatial data analysis and other existing land cover classification methods. The ninth chapter addresses the research issues and challenges associated with land cover classification using textural approaches. This book is useful for undergraduates in Computer Science and Civil Engineering and postgraduates who plan to do research or project work in digital image processing. The book can serve as a guide to those who narrow down their research to processing remotely sensed images. It addresses a wide range of texture models and classifiers. The book not only guides but aids the reader in implementing the concepts through the Matlab source codes listed. In short, the book will be a valuable resource for growing academicians to gain expertise in their area of specialization and students who aim at gaining in-depth knowledge through practical implementations. The exercises given under texture based segmentation (excluding land cover classification exercises) can serve as lab exercises for the undergraduate students who learn texture based image processing.