Using a systems analysis approach and extensive case studies, Environmental Remote Sensing and Systems Analysis shows how remote sensing can be used to support environmental decision making. It presents a multidisciplinary framework and the latest remote sensing tools to understand environmental impacts, management complexity, and policy implications. Organized into three parts, this full-color book provides systematic coverage of water quality monitoring, air quality monitoring, and monitoring of land use patterns and degradation. Chapters elaborate on the interactions between human and natural systems, addressing questions such as "what are the regional impacts of an oil spill in coastal environments?" and "how does urbanization affect the rate of infiltration of water at urban-rural interfaces?" Throughout, contributors discuss new techniques and methods for measurements, mathematical modeling, and image processing. Key features: Compares data mining, machine learning, and image processing methods to help you select the best one for your needs Incorporates ground-based monitoring networks as part of air and water quality management Emphasizes environmental information management, with proper integration of GPS, GIS, and existing environmental databases Shows how modeling can be used for decision making Examines how remote sensing can be used to understand environmental health implications and to shape environmental management policies Demonstrates how systems analysis can be used to aid in environmental policy analysis Discusses opportunities for integrated field and laboratory studies in remote sensing education A useful reference for students, professionals, scientists, and policy makers in environmental management and informatics as well as environmental, agricultural, forest, and sustainability sciences, this book shows readers how to m

Filling the need for a comprehensive book that covers both theory and application, Remote Sensing of Land Use and Land Cover: Principles and Applications provides a synopsis of how remote sensing can be used for land-cover characterization, mapping, and monitoring from the local to the global scale. With contributions by leading scientists from around the world, this well-structured volume offers an international perspective on the science, technologies, applications, and future needs of remote sensing of land cover and land use. After an overview of the key concepts and history of land-use and land-cover mapping, the book discusses the relationship between land cover and land use and addresses the land-cover classification system. It then presents state-of-the-art methods and techniques in data acquisition, preprocessing, image interpretation, and accuracy assessment for land-use and land-cover characterization and mapping. Case studies from around the world illustrate land-cover applications at global, continental, and national scales. These examples use multiple data sources and provide in-depth understanding of land cover and land-cover dynamics in multiple spatial, thematic, and temporal resolutions. Looking to the future, the book also identifies new frontiers in land-cover mapping and forecasting. The availability and accessibility of accurate and timely land-cover data sets play an important role in many global change studies, highlighting the need for better land-use and land-cover change information at multiple scales. A synthesis of current knowledge in remote sensing of land-use and land-cover science, this book promotes more effective use of Earth observation data and technology to assess, monitor, and manage land resources.

Using a systems analysis approach and extensive case studies, Environmental Remote Sensing and Systems Analysis shows how remote sensing can be used to support environmental decision making. It presents a multidisciplinary framework and the latest remote sensing tools to understand environmental impacts, management complexity, and policy implications.

Organized into three parts, this full-color book provides systematic coverage of water quality monitoring, air quality monitoring, and monitoring of land use patterns and degradation. Chapters elaborate on the interactions between human and natural systems, addressing questions such as "what are the regional impacts of an oil spill in coastal environments?" and "how does urbanization affect the rate of infiltration of water at urban rural interfaces?" Throughout, contributors discuss new techniques and methods for measurements, mathematical modeling, and image processing.

Key features:

• Compares data mining, machine learning, and image processing methods to help you select the best one for your needs
• Incorporates ground-based monitoring networks as part of air and water quality management
• Emphasizes environmental information management, with proper integration of GPS, GIS, and existing environmental databases
• Shows how modeling can be used for decision making
• Examines how remote sensing can be used to understand environmental health implications and to shape environmental management policies
• Demonstrates how systems analysis can be used to aid in environmental policy analysis
• Discusses opportunities for integrated field and laboratory studies in remote sensing education

A useful reference for students, professionals, scientists, and policy makers in environmental management and informatics as well as environmental, agricultural, forest, and sustainability sciences, this book shows readers how to monitor air, soil, and water quality using state-of-the-art remote sensing tools."

The intensive use of limited water resources, the growing population rates and the various increasing human activities put high and continuous stresses on these resources. Major problems affecting the water quality of rivers, streams and lakes may arise from inadequately treated sewage, poor land use practices, inadequate controls on the discharges of industrial waste waters, uncontrolled poor agricultural practices, excessive use of fertilizers, and a lack of integrated watershed management. This study explores the impact of these pollution problems and the water quality degradation of irrigated agricultural watersheds. When the watersheds have a complex physical basis of interacting water bodies such as canals, drains and coastal lagoons as in the case of irrigated watersheds in coastal river Deltas, and when these environments are 'data scarce environments', the problems of managing water quality becomes more obvious and the need for reliable solutions becomes an urgent requirement.

Human activities as well as various natural phenomena change the environment and impact on the quality of life. Analysis of those dynamics is required for a better understanding of urban modifications, and to facilitate urban growth and development. Research related to the management of urban data has a long tradition. Through the years a variety of challenging research questions has been investigated related to the collection, storage, use and visualisation of the data representing the urban phenomena in a computer-based environment. The role of the citizens and their wellbeing has become a critical aspect in all research and development activities. Since 1971, the Urban Data Management Society (UDMS) has organized international symposia across Europe to promote the development of information systems at a local government level. Initially, the focus of these symposia was mostly on urban applications, but both regional and rural issues have grown in importance over the years. Nowadays, an important aim of UDMS is to provide a forum for people to discuss new approaches, to consider new technologies, and to share practical experiences in the field of urban data management. This book contains a selection of the best 19 out of 42 full papers that were submitted for UDMS 2011. The topics covered represent current trends in urban and regional data management. Urban and Regional Data Management 2011 is divided in four parts: (1) 3D modeling and applications; (2) Data management for local government; (3) Environmental monitoring and assessment; (4) Remote sensing for urban applications, and will proof to be a useful source of information for urban, regional and rural data-related professionals, such as scholars, GIS engineers, geomatic professionals, photogrammetrists, land surveyors, mapping specialists, urban planners and researchers, as well as for postgraduate students and lecturers.

Although GIS provides powerful functionality for spatial analysis, data overlay and storage, these spatially oriented systems lack the ability to represent temporal dynamics, which is a major impediment to its use in surface modeling. However, rapid development of computing technology in recent years has made real-time spatial analysis and real-time data visualization become realizable. Based on newly developed methods, Surface Modeling: High Accuracy and High Speed Methods explores solutions to big-error and slow-efficiency problems, two critical challenges that have long plagued those working in with geographical information system (GIS) and computer-aided design (CAD). By developing high accuracy and high speed methods for surface modeling, the book builds a bridge between the mathematical-oriented theory of surface modeling and the user-oriented application where the user is actually able to retrieve information on the method itself. The author examines a novel method of high accuracy surface modeling (HASM) in terms of the fundamental theorem of surfaces. He then analyzes the coefficient matrix and develops an adaptive method of HASM (HASM-AM), a multi-grade method of HASM (HASM-MG), and an adjustment method of HASM (HASM-AD). He uses numerical tests and real world studies to demonstrate that HASM-AM, HASM-MG, and HASM-AD have highly accelerated computational speed, especially for simulations with huge computational work. Building on this, the book discusses a HASM-based method for dynamic simulation (HASM-FDS), and then applies HASM methods to simulate terrains, climate change, ecosystem change, land cover, and soil properties. It demonstrates HASM's potential for simulating population distribution, human carrying capacity, ecosystem services, ecological diversity, change detection, and wind velocity. The book concludes with a discussion of the problems that exist in surface modeling on a global level and evaluates possible solutions to these problems.

The second edition of this book has been fully updated to include information on optical sensors launched since 2012 and on new developments in technology, particularly on small satellites and on constellations. There is also a new chapter on applications which looks at how products from optical sensors are used by various organisations for the benefit of end users. Information is given on acquiring images and value added products. Examples and case studies from various disciplines and regions are included. The book is a comprehensive guide to the characteristics and use of high resolution optical images from satellite-borne sensors, concentrating on sensors designed for mapping. It considers in detail the SPOT series of satellites and sensors with a ground sample distance (GSD) of less than 15m, operational since SPOT 1 and particularly the sensors launched since 1999 with GSD of less than 1m The book explains to students, anyone working in map production and scientists working in fields other than mapping, the way in which high resolution imagery is obtained and the issues which surround its collection and use. It deals progressively with the fundamentals of mapping from imagery, followed by the key features in the design of sensors and methods of data storage and transmission, including data compression. Subsequent chapters cover the sensors, calibration, sensor models and the methods of determining the orientation elements and extracting coordinates from the images. Rigorous orientation, use of rational polynomial coefficients (RPCs) and approximate methods are covered. Results from tests showing the accuracy which can be obtained, generation of digital elevations models, their accuracy and the production of orthoimages are included, as are image processing and data fusion. Finally, future missions and the issues which face further development are discussed. High Resolution Optical Satellite Imagery is written by a team of acknowledged international experts, is the only comprehensive text on the subject and has been well received by the geospatial community.

The constant growth of the world's population and the decline of the availability of land and soil resources are global concerns for food security. Other concerns are the decrease in productivity and delivery of essential ecosystems services because of the decline of soil quality and health by a range of degradation processes. Key soil properties like soil bulk density, organic carbon concentration, plant available water capacity, infiltration rate, air porosity at field moisture capacity, and nutrient reserves, are crucial properties for soil functionality which refers to the capacity of soil to perform numerous functions. These functions are difficult to measure directly and are estimated through indices of soil quality and soil health. Soil degradation, its extent and severity, can also be estimated by assessing indices of soil quality and health. "Geospatial Technology for Land Degradation Assessment and Management" uses satellite imagery and remote sensing technologies to measure landscape parameters and terrain attributes. Remote sensing and geospatial technologies are important tools in assessing the extent and the severity of land and soil degradation, their temporal changes, and geospatial distribution in a timely and cost-effective manner. The knowledge presented in the book by Dr. R.S. Dwivedi shows how remote sensing data can be utilized for inventorying, assessing, and monitoring affected ecosystems and how this information can be integrated in the models of different local settings. Through many land degradations studies, land managers, researchers, and policymakers will find practical applications of geospatial technologies and future challenges. The information presented is also relevant to advancing the Sustainable Development Goals of the United Nations towards global food security.

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

Desertification and land degradation are complex phenomena, and we need to understand their causes, consequences, and means to mitigate and combat their impact. Therefore, this book aims to explain the concept and characteristics of drylands, desert and desertification, land degradation, wastelands, and the concept of ecosystem services. It also discusses various types of processes of land degradations, their characteristics, physics and indicators along with mapping, monitoring and assessment of methods involved. Concept of Ocean Biological Deserts is discussed along with international and regional efforts towards combating land degradation and desertification. Key Features: * Provides all the aspect of desertification and land degradation at one place * Includes comprehensive methods to monitor different desertification/land degradation processes * Comprehensive overview of the mapping, monitoring and modelling techniques * Role of space borne data in identifying, monitoring and combating desertification is evaluated and reported with real case studies * Explains the concept of ocean biological deserts, their characteristics and mapping

In terms of statistics, GIS offers many connections. With GIS, data are gathered, displayed, summarized, examined, and interpreted to discover patterns. Spatial Mathematics: Theory and Practice through Mapping uses GIS as a platform to teach mathematical concepts and skills through visualization of numbers. It examines theory and practice from disparate academic disciplines such as geography, mathematics, physics, and general social science. This approach allows students to grapple with biodiversity, crime, natural hazards, climate, energy, water, and other relevant real-world issues of the twenty-first century. Includes QR Codes Linked to Animated Maps, a Mapping Activity Site, or to an Interactive Webpage, Creating an Interactive Resource That Stays Relevant The book integrates competing philosophical views of the world: synthesis and analysis. These two approaches yield different results and employ different tools. This book considers both approaches to looking at real-world issues that have mathematics as a critical, but often unseen, component. This approach shows readers how to use mathematics to consider the broad problem at hand and to explore diverse realms in the worlds of geography and mathematics and in their interface. A truly interdisciplinary text, the book bridges the worlds of mathematics and geography and demonstrates how they are inextricably linked. It takes advantage of the convergence in citizen science, STEM education, and mapping that help readers become critical consumers of data-understanding its content, quality, limitations, and benefits. It provides thorough grounding in the analytical, statistical, and computational skills required for working in any field that uses geospatial technologies-not just surveyors and remote sensing analysts.

The International Scientific and Professional Conference on Geodesy, Cartography and Geoinformatics 2017 (GCG 2017) was organized under the auspices of the Faculty of Mining, Ecology, Process Control and Geotechnologies, Technical University of Kosice (SK), Pavol Jozef Safarik University in Kosice (SK), Faculty of Civil Engineering, STU Bratislava (SK), Faculty of Civil Engineering, CTU Prague (CZ), University of Technology, Kielce (PL), AGH University of Science and Technology, Krakow (PL), Upper Nitra Mines Prievidza, plc. (SK) and the Slovakian Mining Society (SK). The conference was held from October 10 - 13, 2017, in Low Tatras, Slovakia. The purpose of the conference was to provide a forum for prominent scientists, researchers and professionals from Slovakia, Poland and the Czech Republic to present novel and fundamental advances in the fields of geodesy, cartography and geoinformatics. Conference participants had the opportunity to exchange and share their experiences, research and results solved within scientific research projects with other colleagues. The conference focused on a wide spectrum of actual topics and subject areas in Surveying and Mine Surveying, Geodetic Control and Geodynamics, and Cartography and Geoinformatics and collected in this proceedings volume.

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.

In today's world, deep learning source codes and a plethora of open access geospatial images are readily available and easily accessible. However, most people are missing the educational tools to make use of this resource. Deep Learning for Remote Sensing Images with Open Source Software is the first practical book to introduce deep learning techniques using free open source tools for processing real world remote sensing images. The approaches detailed in this book are generic and can be adapted to suit many different applications for remote sensing image processing, including landcover mapping, forestry, urban studies, disaster mapping, image restoration, etc. Written with practitioners and students in mind, this book helps link together the theory and practical use of existing tools and data to apply deep learning techniques on remote sensing images and data. Specific Features of this Book: The first book that explains how to apply deep learning techniques to public, free available data (Spot-7 and Sentinel-2 images, OpenStreetMap vector data), using open source software (QGIS, Orfeo ToolBox, TensorFlow) Presents approaches suited for real world images and data targeting large scale processing and GIS applications Introduces state of the art deep learning architecture families that can be applied to remote sensing world, mainly for landcover mapping, but also for generic approaches (e.g. image restoration) Suited for deep learning beginners and readers with some GIS knowledge. No coding knowledge is required to learn practical skills. Includes deep learning techniques through many step by step remote sensing data processing exercises.

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.

Remote Sensing Applications in Environmental and Earth System Sciences is a contemporary, multi-disciplinary, multi-scaling, updated, and upgraded approach of applied remote sensing in the environment. The book begins with an overview of remote sensing technology, and then explains the types of data that can be used as well as the image processing and analysis methods that can be applied to each type of application through the use of case studies throughout. Includes a wide spectrum of environmental applications and issues Explains methodological image analysis and interpretation procedures for conducting a variety of environmental analyses Discusses the development of early warning systems Covers monitoring of the environment as a whole - atmosphere, land, and water Explores the latest remote sensing systems in environmental applications This book is an excellent resource for anyone who is interested in remote sensing technologies and their use in Earth systems, natural resources, and environmental science.

Extraterrestrial Remote Sensing and Climate Change Thought provoking treatise that aims to answer questions about Earth's environment based on research done through remote sensing techniques In Extraterrestrial Remote Sensing and Climate Change, the author addresses longstanding questions about a possible correlation between fluctuations in solar activity and changes in the Earth's atmosphere and geosphere that have been observed during periods of extraterrestrial changes such as solar eclipses or solar storms. The author goes on to suggest possible mechanisms for anomalies seen in climate change and other environmental effects through a deep examination of interdisciplinary research. Core topics covered in the work include: Data from ground-based detectors and from the Solar and Heliospheric Observatory (SOHO) satellite, which monitor solar activity Key variables associated with sunspot eruption, such as electron flux, proton flux, X-ray flux, and planetary indices Observable changes in other planets and their moons, as well as in cosmic radiation from beyond the sun Extraterrestrial effects on the Earth's magnetic field and on seismic activity With its fresh and multidisciplinary approach, Extraterrestrial Remote Sensing and Climate Change is a thought-provoking treatise for students, researchers, and professionals in the fields of environmental science and climate science.

Written by leading global experts, including pioneers in the field, the four-volume set on Hyperspectral Remote Sensing of Vegetation, Second Edition, reviews existing stateof- the-art knowledge, highlights advances made in different areas, and provides guidance for the appropriate use of hyperspectral data in the study and management of agricultural crops and natural vegetation. Hyperspectral remote sensing or imaging spectroscopy data has been increasingly used in studying and assessing the biophysical and biochemical properties of agricultural crops and natural vegetation. Volume III, Biophysical and Biochemical Characterization and Plant Species Studies demonstrates the methods that are developed and used to study terrestrial vegetation using hyperspectral data. This volume includes extensive discussions on hyperspectral data processing and how to implement data processing mechanisms for specific biophysical and biochemical applications such as crop yield modeling, crop biophysical and biochemical property characterization, and crop moisture assessments. The concluding chapter provides readers with useful guidance on the highlights and essence of Volume III through the editors' perspective. Key Features of Volume III: Covers recent abilities to better quantify, model, and map plant biophysical, biochemical water, and structural properties. Demonstrates characteristic hyperspectral properties through plant diagnostics or throughput phenotyping of plant biophysical, biochemical, water, and structural properties. Establishes plant traits through hyperspectral imaging spectroscopy data as well as its integration with other data, such as LiDAR, using data from various platforms (ground-based, UAVs, and earth-observing satellites). Studies photosynthetic efficiency and plant health and stress through hyperspectral narrowband vegetation indices. Uses hyperspectral data to discriminate plant species and\or their types as well as their characteristics, such as growth stages. Compares studies of plant species of agriculture, forests, and other land use\land cover as established by hyperspectral narrowband data versus multispectral broadband data. Discusses complete solutions from methods to applications, inventory, and modeling considering various platform (e.g., earth-observing satellites, UAVs, handheld spectroradiometers) from where the data is gathered. Dwells on specific applications to detect and map invasive species by using hyperspectral data.

Fascinating and diverse, savanna ecosystems support a combination of pastoral and agropastoral communities alongside wild and domestic herbivores that can be found nowhere else. This diversity has made the study of these areas problematic. Ecosystem Function in Savannas: Measurement and Modeling at Landscape to Global Scales addresses some of the discontinuities in the treatment of savannas by the scientific community and documents a range of measurements, methods, technologies, applications, and modeling approaches. Based on contributions from leading authorities and experts on savanna systems worldwide, the book describes the global savanna biome in terms of its broad ecological properties, temporal dynamics, disturbance levels, and human dimensions. The text examines carbon, water, energy, and trace gas fluxes for major global savanna regions. It looks at quantitative surface properties of savannas that can be retrieved using remote sensing and numerical approaches used to explore savanna dynamics. The authors also discuss how savanna modeling and measurement approaches might be unified. By presenting this confluence of information in a single resource, the book provides a platform for examining synergies, connections, integrative opportunities, and complementarities among approaches and data sources. This information can then be used to harmonize measurement and modeling methods among scales and across disciplinary boundaries. The book builds a bridge across the markedly different perspectives on savannas by which ecologists, biogeochemists, remote sensors, geographers, anthropologists, and modelers approach their science.

Unmanned Aircraft Systems (UASs) are a rapidly evolving technology with an expanding array of diverse applications. In response to the continuing evolution of this technology, this book discusses UAVs and similar systems, platforms, and sensors, as well as exploring some of their environmental applications. It explains how they can be used for mapping, monitoring, and modelling a wide variety of different environmental aspects and, at the same time, addresses some of the current constraints placed on realising the potential use of the technology, such as flight duration and distance, safety, and the invasion of privacy. Unmanned Aerial Remote Sensing: UAS for Environmental Applications is an excellent resource for any practitioner utilising remote sensing and other geospatial technologies for environmental applications, such as conservation, research, and planning. Students and academics in information science, environment and natural resources, geosciences, and geography will likewise find this comprehensive book a useful and informative resource. Features Provides necessary theoretical foundations for pertinent subject matter areas Introduces the role and value of UAVs for geographical data acquisition and the ways to acquire and process the data Provides a synthesis of ongoing research and a focus on the use of technology for small-scale image and spatial data acquisition in an environmental context Written by experts of the technology who bring together UAS tools and resources for environmental specialists.

In the last few years the scientific community has realized that obtaining a better understanding of interactions between natural systems and the man-made environment across different scales demands more research efforts in remote sensing. An integrated Earth system observatory that merges surface-based, air-borne, space-borne, and even underground sensors with comprehensive and predictive capabilities indicates promise for revolutionizing the study of global water, energy, and carbon cycles as well as land use and land cover changes. The aim of this book is to present a suite of relevant concepts, tools, and methods of integrated multisensor data fusion and machine learning technologies to promote environmental sustainability. The process of machine learning for intelligent feature extraction consists of regular, deep, and fast learning algorithms. The niche for integrating data fusion and machine learning for remote sensing rests upon the creation of a new scientific architecture in remote sensing science that is designed to support numerical as well as symbolic feature extraction managed by several cognitively oriented machine learning tasks at finer scales. By grouping a suite of satellites with similar nature in platform design, data merging may come to help for cloudy pixel reconstruction over the space domain or concatenation of time series images over the time domain, or even both simultaneously. Organized in 5 parts, from Fundamental Principles of Remote Sensing; Feature Extraction for Remote Sensing; Image and Data Fusion for Remote Sensing; Integrated Data Merging, Data Reconstruction, Data Fusion, and Machine Learning; to Remote Sensing for Environmental Decision Analysis, the book will be a useful reference for graduate students, academic scholars, and working professionals who are involved in the study of Earth systems and the environment for a sustainable future. The new knowledge in this book can be applied successfully in many areas of environmental science and engineering.

Taking a detailed, non-mathematical approach to the principles on which remote sensing is based, this book progresses from the physical principles to the application of remote sensing.

Table of Contents

Abbreviations and acronyms. Part One: Remote sensing principles. Growth in awareness of environmental problems. Physical basis of remote sensing. Radiation characteristics of natural phenomena. Sensors for environmental monitoring. Sensor platforms, sensor packages and satellite data distribution. Calibration, interpretation and evaluation of remote sensing data. Remote sensing data interchangeability, preprocessing and processing. The analysis and interpretation of aerial photography. Digital data handling. Part Two: Remote sensing applications. Weather analysis and forecasting. Global climatology. Water in the environment. Soils and landforms. Rocks and mineral resources. Ecology, land use and crop protection. The built environment. Hazards and disasters. Problems and prospects. Bibliography. Index.

Dynamische Visualisierung: Grundlagen mit Anwendungsbeispielen aus der Kartographie richtet sich in erster Linie an Praktiker, die kartographische Animationen erstellen wollen. Das Buch bietet einen leichten Einstieg in die Thematik sowie konkrete Hilfestellung fur die Praxis. Es werden technische und methodische Grundlagen vermittelt und Erfahrungen von Fachleuten anhand von Beispielen aus unterschiedlichen Anwendungsbereichen beschrieben. Daruber hinaus werden Gestaltungsprinzipien kartographischer Animation aus konzeptioneller und anwendungsbezogener Sicht vorgestellt. Aus technischer Sicht wird auf Herstellungsverfahren, Hard- und Software sowie auf Internetanwendungen eingegangen. Die Beispiele der Animationssequenzen sind auf der beiliegenden CD-ROM gespeichert.

The neighborhoods and the biophysical, political, and cultural environments all play a key role in affecting health outcomes of individuals. Unequal spatial distribution of resources such as clinics, hospitals, public transportation, fresh food markets, and schools could make some communities as a whole more vulnerable and less resilient to adverse health effects. This somber reality suggests that it is rather the question of "who you are depends upon where you are" and the fact that health inequality is both a people and a place concern. That is why health inequality needs to be investigated in a spatial setting to deepen our understanding of why and how some geographical areas experience poorer health than others. This book introduces how spatial context shapes health inequalities. Spatial Health Inequalities: Adapting GIS Tools and Data Analysis demonstrates the spatial health inequalities in six most important topics in environmental and public health, including food insecurity, birth health outcomes, infectious diseases, children's lead poisoning, chronic diseases, and health care access. These are the topics that the author has done extensive research on and provides a detailed description of the topic from a global perspective. Each chapter identifies relevant data and data sources, discusses key literature on appropriate techniques, and then illustrates with real data with mapping and GIS techniques. This is a unique book for students, geographers, clinicians, health and research professionals and community members interested in applying GIS and spatial analysis to the study of health inequalities.

This book starts with an overview of GIS technology, what GIS technology is, what it can do, what software products are available, etc. Then, throughout the book, the author explains with many case studies, programs, maps, graphics, and 3D models how GIS and other related technologies can be used to automate mapping processes, collect, process, edit, store, manage, and share datasets, statistically analyze data, model, and visualize large datasets to understand patterns, trends, and relationships to make educated decisions. This book is an excellent resource for anyone who is interested in GIS and related technologies, geology, natural resource, and environmental science.