The continental hydrological cycle is one of the least understood components of the climate system. The understanding of the different processes involved is important in the fields of hydrology and meteorology. In this volume the main applications for continental hydrology are presented, including the characterization of the states of continental surfaces (water state, snow cover, etc.) using active and passive remote sensing, monitoring the Antarctic ice sheet and land water surface heights using radar altimetry, the characterization of redistributions of water masses using the GRACE mission, the potential of GNSS-R technology in hydrology, and remote sensing data assimilation in hydrological models. This book, part of a set of six volumes, has been produced by scientists who are internationally renowned in their fields. It is addressed to students (engineers, Masters, PhD) , engineers and scientists, specialists in remote sensing applied to hydrology. Through this pedagogical work, the authors contribute to breaking down the barriers that hinder the use of Earth observation data.

For a long time, the dynamics of urban and coastal areas have been the focus of administrators and decision makers in charge of public policy in order to better take into account anthropogenic pressure and the impact of climate change. This volume presents applications of remote sensing in urban environments and coastal zones, including the use of remote sensing in city planning (urban expansion, light pollution, air quality, etc.), observation of the properties of ocean color, the study of coastal dynamics (identifying coastlines and estimating sediment balances, etc.) and analysis of the dynamics of mangroves. This book, part of a set of six volumes, has been produced by scientists who are internationally renowned in their fields. It is addressed to students (engineers, Masters, PhD), engineers and scientists, specialists in remote sensing applied to the coastal environment and urban areas. Through this pedagogical work, the authors contribute to breaking down the barriers that hinder the use of Earth observation data.

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

The book provides a comprehensive insight into watersheds and modeling of the hydrological processes in the watersheds. It covers the concepts of watershed hydrology and watershed management in depth. The basic types, of soil erosion and its measurement and estimation of runoff and soil loss from the small and large watersheds are discussed. Recent advances in the watershed management like the application of remote sensing and GIS and hydrological models are a part of the book. The book serve as a guide for professional and competitive examinations for undergraduate students of Agriculture and Agricultural Engineering and graduate students of Soil Science, Soil and Water Engineering, Agricultural Physics, Hydrology and Watershed Management.

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.

The early 21st century marks a new era in space exploration. The National Aeronautics and Space Administration (NASA) of the United States, The European Space Agency (ESA), as well as space agencies of Japan, China, India, and other countries have sent their probes to the Moon, Mars, and other planets in the solar system. Planetary Remote Sensing and Mapping introduces original research and new developments in the areas of planetary remote sensing, photogrammetry, mapping, GIS, and planetary science resulting from the recent space exploration missions. Topics covered include: Reference systems of planetary bodies Planetary exploration missions and sensors Geometric information extraction from planetary remote sensing data Feature information extraction from planetary remote sensing data Planetary remote sensing data fusion Planetary data management and presentation Planetary Remote Sensing and Mapping will serve scientists and professionals working in the planetary remote sensing and mapping areas, as well as planetary probe designers, engineers, and planetary geologists and geophysicists. It also provides useful reading material for university teachers and students in the broader areas of remote sensing, photogrammetry, cartography, GIS, and geodesy.

Spatially aware wireless and Internet devices, cloud computing, NoSal databases, social networks and semantic web offer new ways of accessing, analyzing, and elaborating geo-spatial information in both real-world and virtual spaces. This book explores the how-to's of the most promising recurrent technologies and trends in GIS, such as Semantic GIS, Web GIS, Mobile GIS, NoSal Geographic Databases, Cloud GIS, Geo Social networks, Spatial Data Warehousing-OlAP, and Open GIS. The text discusses and emphasizes the methodological aspects of such technologies and their applications in GIS.

This is a book about how ecologists can integrate remote sensing and GIS in their daily work. It will allow ecologists to get started with the application of remote sensing and to understand its potential and limitations. Using practical examples, the book covers all necessary steps from planning field campaigns to deriving ecologically relevant information through remote sensing and modelling of species distributions. All practical examples in this book rely on OpenSource software and freely available data sets. Quantum GIS (QGIS) is introduced for basic GIS data handling, and in-depth spatial analytics and statistics are conducted with the software packages R and GRASS. Readers will learn how to apply remote sensing within ecological research projects, how to approach spatial data sampling and how to interpret remote sensing derived products. The authors discuss a wide range of statistical analyses with regard to satellite data as well as specialised topics such as time-series analysis. Extended scripts on how to create professional looking maps and graphics are also provided. This book is a valuable resource for students and scientists in the fields of conservation and ecology interested in learning how to get started in applying remote sensing in ecological research and conservation planning.

Remote Sensing Data Analysis in R is a guide book containing codes for most of the operations which are being performed for analysing any satellite data for deriving meaningful information. The goal of this book is to provide hands on experience in performing all the activities from the loading of raster and vector data, mapping or visualisation of data, pre-processing, calculation of indices, classification and advanced machine learning algorithms on remote sensing data in R. The reader will be able to acquire skills to carry out most of the operations of raster data analysis - more flexibly - in open-source freely available software i.e. R which are generally available in the paid digital image processing software. Note: T& F does not sell or distribute the Hardback in India, Pakistan, Nepal, Bhutan, Bangladesh and Sri Lanka. The title is co-published with New India Publishing Agency.

Recognized and advocated as a powerful tool, the role of remote sensing in identifying, mapping, and monitoring soil salinity and salinization will continue to expand. Remote Sensing of Soil Salinization: Impact on Land Management delineates how to combine science and geospatial technologies for smart environmental management. Choose the Right Techniques for the Job An overview of soil salinity assessment using remote sensing technologies, the book describes a variety of sensors, ranging from ground-based to airborne and satellite-borne, and their use in a diversity of geographical regions and environmental settings from coastal to inland saline areas. It provides guidance on how to identify and choose the right remote sensing tools and data sets required based on the purpose of the study and the environmental setting. Organized into three sections, the book covers: Section I: Soil Salinity and Remote Sensing: The Object and the Tool - Focuses on the relationships between the landscape-object salinity and the remote sensing tools Section II: Trends in Mapping Soil Salinity and Monitoring Salinization Using Remote and Proximal Sensing - Provides a variety of case studies dealing with soil salinity mapping and monitoring the process of salinization Section III: Diversity of Approaches to Modeling Soil Salinity and Salinization - Demonstrates the diversity of approaches used in modeling soil salinity and salinization in space and time Combines Fundamentals, the Latest Technology, and Practical Examples The book includes analyses of basic issues of remote detection, such as the spectral behavior of salt types and vegetation influence, and evaluations of currently available remote sensing platforms delineating their advantages and disadvantages. The accompanying CD-ROM provides color images that enhance the mat

First published in 1990, Archaeological Prospecting and Remote Sensing surveys some of the highly ingenious non-destructive methods for detecting and mapping remains of ancient cultures that have vanished from the modern surface. Techniques include low-level air photography, magnetic, thermal, electric, and electromagnetic geophysical prospecting. A mathematical analysis of the phenomena and measurements is given together with the techniques for interpretation of results using computerized image processing. Archaeological prospecting used with image processing has emerged as a universal tool. The aim is to build a visual geographic system available for use by conservationists, historians and scientists alike. The team of authors comprises an archaeologist, two geophysicists and an applied mathematician who have collaborated to produce a book of immense value in this innovative field of study.

One of the key methods of reducing and dealing with criminal activity is to accurately gauge and then analyse the geographical distribution of crime (from small scale to large scale areas). Once the police and government know what areas suffer most from criminal activity they can assess why this is the case and then deal with it in the most effective way. Crime mapping and the spatial analysis of crime data have become recognised as powerful tools for the study and control of crime. Much of the emerging demand for more information and detailed crime pattern analysis have been driven by legislative changes, such as the UK's new Crime and Disorder Act which has placed a joint statutory duty on Police Forces and Local Authorities to produce crime and disorder audits for their areas. The book sets out methods used in the fields of Geographical Information Systems and highlights areas of best practice, examines the types of problems to which spatial crime analysis can be applied, reviews the capabilities and limitations of existing techniques, and explores the future directions of spatial crime analysis and the need for training. It centres on a series of case studies highlighting the experiences of academics and practitioners in agencies centrally involved in the partnership approach to crime prevention. Practitioners and academics not only in the UK but also worldwide should be interested in the book as an up-to-date information resource and a practical guide.

Wetlands are, by their very nature, ephemeral and transitional, which makes them challenging to characterize. Yet the need for characterizing wetlands continues to grow, particularly as we develop a better understanding of the wealth of ecosystem services that they provide. Wetland Landscape Characterization: Practical Tools, Methods, and Approaches for Landscape Ecology, Second Edition shows how wetland characterization tools, methods, and approaches can be integrated to more effectively address twenty-first-century wetland issues. A Practical Toolbox for Integrated Wetland Landscape Characterization The book explains how to locate, identify, and map the extent of wetlands to learn more about their importance to society and the larger landscape. It examines jurisdictional, regulatory, and practical applications from the scientific, engineering, and lay perspectives. Fully updated, the second edition reflects an emerging infrastructural, ecosystem goods-and-services perspective to better assist readers who may encounter these concepts and challenges as they assess and characterize wetlands. Examples and case studies illustrate a variety of situations and solutions, highlighting the use of current techniques to assess, inventory, and monitor natural resources under changing conditions. These examples offer lessons and ideas for the issues encountered every day by wetland landscape ecology practitioners. The book also refers readers to additional resources to help them solve specific challenges. New in This Edition Updates of practical geospatial methods More project-driven examples A description of the pitfalls of using ecological data at landscape scales, along with solutions Alternative techniques for a variety of practitioners Linkages between field and landscape ecological practices Online resources for practitioners New illustrations This book helps readers develop the concepts, skills, and understanding of how to best achieve project goals in the rapidly changing disciplines of landscape science and wetland ecology and management. A valuable resource, it provides practical tools, methods, and approaches for conceptualizing, designing, and implementing broad-scale wetland projects that take into account critical societal linkages.

Atmospheric Remote Sensing: Principles and Applications discusses the fundamental principles of atmospheric remote sensing and their applications in different research domains. Furthermore, the book covers the basic concepts of satellite remote sensing of the atmosphere, followed by Ionospheric remote sensing tools like Global Positioning System (GPS) and Very Low Frequency (VLF) wave. Sections emphasize the applications of atmospheric remote study in Ionospheric perturbation, fire detection, aerosol characteristics over land, ocean and Himalayan regions. In addition, the application of atmospheric remote sensing in disaster management like dust storms, cyclones, smoke plume, aerosol-cloud interaction, and their impact on climate change are discussed. This book is a valuable reference for students, researchers and professionals working in atmospheric science, remote sensing, and related disciplines.

Remote Sensing of Drought: Innovative Monitoring Approaches presents emerging remote sensing-based tools and techniques that can be applied to operational drought monitoring and early warning around the world. The first book to focus on remote sensing and drought monitoring, it brings together a wealth of information that has been scattered throughout the literature and across many disciplines. Featuring contributions by leading scientists, it assembles a cross-section of globally applicable techniques that are currently operational or have potential to be operational in the near future. The book explores a range of applications for monitoring four critical components of the hydrological cycle related to drought: vegetation health, evapotranspiration, soil moisture and groundwater, and precipitation. These applications use remotely sensed optical, thermal, microwave, radar, and gravity data from instruments such as AMSR-E, GOES, GRACE, MERIS, MODIS, and Landsat and implement several advanced modeling and data assimilation techniques. Examples show how to integrate this information into routine drought products. The book also examines the role of satellite remote sensing within traditional drought monitoring, as well as current challenges and future prospects. Improving drought monitoring is becoming increasingly important in addressing a wide range of societal issues, from food security and water scarcity to human health, ecosystem services, and energy production. This unique book surveys innovative remote sensing approaches to provide you with new perspectives on large-area drought monitoring and early warning.

Multiscale Hydrologic Remote Sensing: Perspectives and Applications integrates advances in hydrologic science and innovative remote sensing technologies. Raising the visibility of interdisciplinary research on water resources, it offers a suite of tools and platforms for investigating spatially and temporally continuous hydrological variables and processes.

Illustrated in color, this book examines components in the hydrologic cycle with a range of space and time scales. Organized into five parts, it explores hydrologic remote sensing at the local, urban, watershed, and regional scales, as well as the continental and global scale. Contributors address questions such as

• What are the local, watershed, and regional differences in soil moisture and evapotranspiration when using different measurement methods and models?
• How can we fit the scenarios of global warming potential and the remote sensing products of snow water equivalent into hydrologic modeling to address the changing flood and drought conditions in a watershed?
• How can we fuse the images collected by different satellites to improve the accuracy of predictions at the global scale?

Tackling these and many other topics, the book presents new techniques and methods for spaceborne, airborne, and ground-based measurements and mathematical modeling. It also discusses remote sensing image processing tools and features a wealth of real-world applications and case studies.

This book is a useful reference for students, professionals, scientists, and policy makers involved in the study of global change, hydrologic science, meteorology, climatology, biology, ecology, and the agricultural and forest sciences. It shows how hydrologic remote sensing technologies can be used more effectively to explore global change impacts and improve the design of hydrologic observatories.

National parks, wildlife refuges and sanctuaries, natural reserves, conservation areas, frontier lands, and marine-protected areas are increasingly recognized as essential providers of ecosystem services and biological resources. As debates about climate change and sustainability intensify, protected areas become more important as indicators of ecosystem conditions in particular environments or in comparison with adjacent environments. The first book of its kind, Remote Sensing of Protected Lands showcases state-of-the-art remote sensing applications for the inventory and monitoring of protected areas. Contributions from renowned scholars and experts from around the world are organized into four sections covering the use of remote sensing in: Changing landscapes and change detection Inventory, mapping, and conservation Inventory and monitoring of frontier lands Decision support for the management of protected lands A View of Both the Forest and the Trees Combining reviews of theories and methods with analysis of case studies, the book gives readers both a systematic view of the field and detailed knowledge of specific topics. Case studies explore key topics in the context of a wide range of protected areas, including national parks in the United States and Canada, the Albertine Rift in eastern Africa, the Amazon forests, the Changbai Mountain region in Northeast Asia, the frontier lands in Siberia and the Tibetan Plateau, and marine protected areas along the tropical and temperate Pacific and Atlantic coasts. Alongside each case study, the book examines advanced remote sensing technologies such as airborne and spaceborne high spatial resolution imageries, multispectral and multitemporal time series data, satellite interferometric synthetic aperture radar (InSAR), and the integration of r

In the wake of the so-called information technology revolution, many stakeholders from the public and private sectors (including citizens) have indeed grown accustomed to the promise and usability of spatial data infrastructures (SDI) for data access, use, and sharing. Analyzing the obstacles as well as the processes and mechanisms of integration and implementation, Spatial Data Infrastructures in Context: North and South investigates the technological and the non-technological aspects of the widespread adoption of spatial data infrastructures. Supporting theoretical issues with empirical studies, the editors pay particular attention to the non-technological aspects of organizational, financial, and legal issues including owner rights, liability, copyrights, and compatibility with precedent and supercedent laws. The authors also highlight the importance of understanding the local environment and circumstances in the process of tailoring the approaches to the conditions that characterize societies of different cultural, institutional, and economic settings. Designed to improve the accessibility, interoperability, and affordability of spatial data, the book focuses on the increasing challenges associated with integrating individuals and organizations into a network to support (1) public authorities and administrations at various levels, (2) thematic user communities, (3) enterprises, and (4) citizen-oriented society as a whole. It addresses the implementation and development of spatial data infrastructures for a wide range of themes, applicable technical standards and protocols, and specific organizational issues unique to data policy. Highlighting the potential for profound changes to the access, use, and exchange of spatial data for citizens, organizations, and geographically related applications, and therefore to the role and interaction of the stakeholders from the public and private sectors, this timely contribution provides new insights into improving our understanding of the increasing relevance, applicability, and value of spatial data infrastructures.

Drone Futures explores new paradigms in Unmanned Aircraft Systems (UAS) in landscape and urban design. UAS or drones can be deployed with direct application to the built environment; this book explores the myriad of contemporary and future possibilities of the design medium, its aesthetic, mapping agency, AI, mobility and contribution to smart cities. Drones present innovative possibilities, operating in a 'hover space' between human scales of landscape observation and light aircraft providing a unique resolution of space. This book shows how UAS can be utilised to provide new perspectives on spatial layout, landscape and urban conditions, data capture for construction monitoring and simulation of design proposals. Author Paul Cureton examines both the philosophical use of these tools and practical steps for implementation by designers. Illustrated in full colour throughout, Drone Futures discusses UAS and their connectivity to other design technologies and processes, including mapping and photogrammetry, AR/VR, drone AI and drones for construction and fabrication, new mobilities, smart cities and city information models (CIMs). It is specifically geared towards professionals seeking to understand UAS applications and future development and students seeking an understanding of the role of drones and airspace in the built environment and its powerful geographic imaginary. With international contributions, multidisciplinary sources and case studies, Drone Futures examines new powers of flight for visualising, interpreting and presenting landscapes and urban spaces of tomorrow.

Today, remote sensing technology is an essential tool for understanding the Earth and managing human-Earth interactions. There is a rapidly growing need for remote sensing and Earth observation technology that enables monitoring of world's natural resources and environments, managing exposure to natural and man-made risks and more frequently occurring disasters, and helping the sustainability and productivity of natural and human ecosystems. The improvement in temporal resolution/revisit allows for the large accumulation of images for a specific location, creating a possibility for time series image analysis and eventual real-time assessments of scene dynamics. As an authoritative text, Remote Sensing Time Series Image Processing brings together active and recognized authors in the field of time series image analysis and presents to the readers the current state of knowledge and its future directions. Divided into three parts, the first addresses methods and techniques for generating time series image datasets. In particular, it provides guidance on the selection of cloud and cloud shadow detection algorithms for various applications. Part II examines feature development and information extraction methods for time series imagery. It presents some key remote sensing-based metrics, and their major applications in ecosystems and climate change studies. Part III illustrates various applications of time series image processing in land cover change, disturbance attribution, vegetation dynamics, and urbanization. This book is intended for researchers, practitioners, and students in both remote sensing and imaging science. It can be used as a textbook by undergraduate and graduate students majoring in remote sensing, imaging science, civil and electrical engineering, geography, geosciences, planning, environmental science, land use, energy, and GIS, and as a reference book by practitioners and professionals in the government, commercial, and industrial sectors.

Human factors play a critical role in the design and interpretation of remotely sensed imagery for all Earth sciences. Remote Sensing and Cognition: Human Factors in Image Interpretation brings together current topics widely recognized and addressed regarding human cognition in geographic imagery, especially remote sensing imagery with complex data. It addresses themes around expertise including methods for knowledge elicitation and modeling of expertise, the effects of different aspects of realism on the interpretation of the environment, spatial learning using imagery, the effect of visual perspective on interpretation, and a variety of technologies and methods for utilizing knowledge in the analysis of remote sensing imagery. Written by leaders in the field, this book provides answers to the host of questions raised at the nexus of psychology and remote sensing. Academics and researchers with an interest in the human issues surrounding the use of remote sensing data will find this book to be an invaluable resource. The topics covered in this book are useful for both the scientific analysis of remote sensing imagery as well as the design and display of remote sensing imagery to facilitate a variety of other tasks including education and wayfinding. Features Brings together remote sensing, environmental, and computer scientists discussing their work from a psychological or human factors perspective Answers questions related to aesthetics of scientific visualization and mathematical analysis of perceptible objects Explains the perception and interpretation of realistic representations Provides illustrative real-world examples Shows how the features of display symbols, elements, and patterns have clear effects on processes of perception and visual search

The Open Access version of this book, available at http://www.tandfebooks.com/doi/view/10.1201/9781315146638, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 3.0 license. GIS is used today to better understand and solve urban problems. GIS in Sustainable Urban Planning and Management: A Global Perspective, explores and illustrates the capacity that geo-information and GIS have to inform practitioners and other participants in the processes of the planning and management of urban regions. The first part of the book addresses the concept of sustainable urban development, its different frameworks, the many ways of measuring sustainability, and its value in the urban policy arena. The second part discusses how urban planning can shape our cities, examines various spatial configurations of cities, the spread of activities, and the demands placed on different functions to achieve strategic objective. It further focuses on the recognition that urban dwellers are increasingly under threat from natural hazards and climate change. Written by authors with expertise on the applications of geo-information in urban management, this book showcases the importance of GIS in better understanding current urban challenges and provides new insights on how to apply GIS in urban planning. It illustrates through real world cases the use of GIS in analyzing and evaluating the position of disadvantaged groups and areas in cities and provides clear examples of applied GIS in urban sustainability and urban resilience. The idea of sustainable development is still very much central in the new development agenda of the United Nations, and in that sense, it is of particular importance for students from both the Global South and Global North. Professionals, researchers, and students alike will find this book to be an invaluable resource for understanding and solving problems relating to sustainable urban planning and management.

Extreme weather and climate change aggravate the frequency and magnitude of disasters. Facing atypical and more severe events, existing early warning and response systems become inadequate both in scale and scope. Earth Observation (EO) provides today information at global, regional and even basin scales related to agrometeorological hazards. This book focuses on drought, flood, frost, landslides, and storms/cyclones and covers different applications of EO data used from prediction to mapping damages as well as recovery for each category. It explains the added value of EO technology in comparison with conventional techniques applied today through many case studies.

State-of-the-art GIS spatial data management and analysis tools are revolutionizing the field of water resource engineering. Familiarity with these technologies is now a prerequisite for success in engineers' and planners' efforts to create a reliable infrastructure. GIS in Water Resource Engineering presents a review of the concepts and applications of GIS in the various sub-fields of water resource engineering. After a summary review of analyses and database functions, the book addresses concepts and applications in the following areas: Surface Water Hydrology Groundwater Hydrology Water Supply and Irrigation systems Wastewater and Stormwater Systems Floodplain Management Water Quality Water Resource Monitoring and Forecasting River Basin Planning and Management The book develops a general understanding of the nature of GIS and how it is used to create and analyze geographic data. The author first introduces primary field data collection methods and describes procedures for interpretation and analysis. The second portion of the book focuses on the linkage of GIS data with water resource analysis and management models. Applications are presented with descriptions of GIS database development, analysis background theory, and model integration with GIS. The profound impact of GIS systems on water resources engineering continues to grow. GIS in Water Resource Engineering arms engineers and planners with an arsenal of tools to assist in the creation of a reliable, environmentally sensitive, infrastructure.

The oceans cover approximately 71% of Earth's surface, 90% of the biosphere and contains 97% of Earth's water. Since the first launch of SEASAT satellite in 1978, an increasing number of SAR satellites have or will become available, such as the European Space Agency's ERS-1/-2, ENVISAT, and Sentinel-1 series; the Canadian RADARSAT-1/-2 and the upcoming RADARSAT Constellation Mission series satellites; the Italian COSMO-SkyMed satellites, the German TERRASAR-X and TANDEM-X, and the Chinese GAOFEN-3 SAR, among others. Recently, European Space Agency has launched a new generation of SAR satellites, Sentinel-1A in 2014 and Sentinel-1B in 2016. These SAR satellites provide researchers with free and open SAR images necessary to carry out their research on the global oceans. The scope of Advances in SAR Remote Sensing of Oceans is to demonstrate the types of information that can be obtained from SAR images of the oceans, and the cutting-edge methods needed for analysing SAR images. Written by leading experts in the field, and divided into four sections, the book presents the basic principles of radar backscattering from the ocean surface; introduces the recent progresses in SAR remote sensing of dynamic coastal environment and management; discusses the state-of-the-art methods to monitor parameters or phenomena related to the dynamic ocean environment; and deals specifically with new techniques and findings of marine atmospheric boundary layer observations. Advances in SAR Remote Sensing of Oceans is a very comprehensive and up-to-date reference intended for use by graduate students, researchers, practitioners, and R&D engineers working in the vibrant field of oceans, interested to understand how SAR remote sensing can support oceanography research and applications.