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.

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.

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.

Glaciers and ice sheets have been melting significantly during recent decades, posing environmental threats at local, regional and global scales. Changes in glaciers are one of the clearest indicators of alterations in regional climate, since they are governed by changes in accumulation (from snowfall) and ablation (by melting of ice). Glacier changes have been measured for the last century by traditional field measurements, resulting in long time series for a few glaciers. Remote sensing data and methods, and geographic information systems, provide the means to allow glacier changes to be monitored at a global scale, to be analysed rapidly and to store the results and present information to both scientific and popular audiences in a way which was not possible before the digital revolution. Remote sensing of glaciers began with terrestrial and aerial photography during the middle of the 20th century, but today the discipline embraces a large variety of data types from laser scanner data to very high resolution satellite imagery, which can be applied to the mapping of glacier changes in terms of area, surface zonation or thickness. This book highlights the history of the remote sensing of glaciers, the physics of glaciers and remote sensing of them, and focuses particularly on modern data and methods used by remote sensing specialists and glaciologists. The book presents examples of glacier research carried out, for example in the Alps, Norway, Iceland, Caucasus, Patagonia, Rocky Mountains, Pakistan, Antarctica, New Zealand, and Svalbard. This book is of interest to specialists and students working in the field of remote sensing, glaciology, physical geography, geology and climate change.

Capable of acquiring large volumes of data through sensors deployed in air, land, and sea, and making this information readily available in a continuous time frame, the science of geographical information system (GIS) is rapidly evolving. This popular information system is emerging as a platform for scientific visualization, simulation, and computation of spatio-temporal data. New computing techniques are being researched and implemented to match the increasing capability of modern-day computing platforms and easy availability of spatio-temporal data. This has led to the need for the design, analysis, development, and optimization of new algorithms for extracting spatio-temporal patterns from a large volume of spatial data. Computing in Geographic Information Systems considers the computational aspects, and helps students understand the mathematical principles of GIS. It provides a deeper understanding of the algorithms and mathematical methods inherent in the process of designing and developing GIS functions. It examines the associated scientific computations along with the applications of computational geometry, differential geometry, and affine geometry in processing spatial data. It also covers the mathematical aspects of geodesy, cartography, map projection, spatial interpolation, spatial statistics, and coordinate transformation. The book discusses the principles of bathymetry and generation of electronic navigation charts.The book consists of 12 chapters. Chapters one through four delve into the modeling and preprocessing of spatial data and prepares the spatial data as input to the GIS system. Chapters five through eight describe the various techniques of computing the spatial data using different geometric and statically techniques. Chapters nine through eleven define the technique for image registration computation and measurements of spatial objects and phenomenon. Examines cartographic modeling and map

Solutions for Time-Critical Remote Sensing Applications The recent use of latest-generation sensors in airborne and satellite platforms is producing a nearly continual stream of high-dimensional data, which, in turn, is creating new processing challenges. To address the computational requirements of time-critical applications, researchers have begun incorporating high performance computing (HPC) models in remote sensing missions. High Performance Computing in Remote Sensing is one of the first volumes to explore state-of-the-art HPC techniques in the context of remote sensing problems. It focuses on the computational complexity of algorithms that are designed for parallel computing and processing. A Diverse Collection of Parallel Computing Techniques and Architectures The book first addresses key computing concepts and developments in remote sensing. It also covers application areas not necessarily related to remote sensing, such as multimedia and video processing. Each subsequent chapter illustrates a specific parallel computing paradigm, including multiprocessor (cluster-based) systems, large-scale and heterogeneous networks of computers, grid computing platforms, and specialized hardware architectures for remotely sensed data analysis and interpretation. An Interdisciplinary Forum to Encourage Novel Ideas The extensive reviews of current and future developments combined with thoughtful perspectives on the potential challenges of adapting HPC paradigms to remote sensing problems will undoubtedly foster collaboration and development among many fields.

Focus on Geodatabases in ArcGIS Pro introduces readers to the geodatabase, the comprehensive information model for representing and managing geographic information across the ArcGIS platform. Sharing best practices for creating and maintaining data integrity, chapter topics include the careful design of a geodatabase schema, building geodatabases that include data integrity rules, populating geodatabases with existing data, working with topologies, editing data using various techniques, building 3D views, and sharing data on the web. Each chapter includes important concepts with hands-on, step-by-step tutorials, sample projects and datasets, 'Your turn' segments with less instruction, study questions for classroom use, and an independent project. Instructor resources are available by request.

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.

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.

Although much has been written on evidence-based policy making, this is the first volume to address the potential of GIS in this arena. GIS and Evidence-Based Policy Making covers the development of new methodological approaches, emphasizing the identification of spatial patterns in social phenomena. It examines organizational issues, including the development of new tools for policy making. This text brings together the results of researchers working across the entire spectrum of evidence-based policy making, focusing on the exploration for new data sources and examining ways to bring GIS-based methods to the public and to policy-makers.

Key Concepts and Techniques in GIS is a concise overview of the fundamental ideas that inform geographic information science. It provides detailed descriptions of the concepts and techniques that anyone using GIS software must fully understand to analyse spatial data. Short and clearly focussed chapters provide explanations of: spatial relationships and spatial data the creation of digital data, the use and access of existing data, the combination of data the use of modelling techniques and the essential functions of map algebra spatial statistics and spatial analysis geocomputation - including discussion of neural networks, cellular automata, and agent-based modelling Illustrated throughout with explanatory figures, the text also includes a glossary, cross referenced to discussion in the text. Written very much from a user's perspective, Key Concepts and Techniques in GIS is highly readable refresher course for intermediate level students and practitioners of GIS in the social and the natural sciences.

Although the dynamic aspect of the world is widely recognized, information systems have lagged in their ability to represent these dynamics and provide support for users and analysts, especially those who work with dynamic geographic domains. A collection of peer-reviewed articles, Understanding Dynamics of Geographic Domains showcases new research and perspectives on theoretical aspects of geographic dynamics and including novel data modeling and visualization-related studies. Multidisciplinary Book Brings Together Respected Specialists Editors Kathleen Stewart Hornsby and May Yuan bring together prominent and respected specialists to create a multidisciplinary book that combines coverage of topics from the perspectives of GIS, computer science, image processing, and information and data processing. Containing an 8-page color insert, the book is divided into three sections that explore the conceptual and cognitive underpinnings of geographic dynamics and data modeling topics; the related analytical and computational approaches; and topics relating to the visualization and simulation of geographic dynamics. A Milestone for Research Developments A quick review of the contents and contributors reveals the breadth and depth of knowledge provided. Incorporating theoretical, cognitive, methodological, and applied articles, the coverage is closely related to the national research agenda on Geographic Information Science proposed by the University Consortium of Geographic Information Science (UCGIS). Indeed, the foundations for this book began with a workshop co-sponsored by the UCGIS on the topic of geographic dynamics. This makes the book not only a top-notch reference but also a milestone for research developments in the field.

The development of robust accuracy assessment methods for the validation of spatial data represents a difficult challenge for the geospatial science community. Obstacles to robust assessments include continuous data characteristics and positional errors, demanding ongoing development by GIS and remote sensing experts. Based upon a special symposium sponsored by the U.S. Environmental Protection Agency (EPA), Remote Sensing and GIS Accuracy Assessment evaluates the important scientific elements related to the performance of accuracy assessments for remotely sensed data, GIS data analysis, and integration products. Scientists from federal, state, and local governments, academia, and nongovernmental organizations present twenty technical chapters that examine sampling issues, reference data collection, edge and boundary effects, error matrix and fuzzy assessments, error budget analysis, and change detection accuracy assessment. The book includes the keynote presentation by Russell G. Congalton that provides a historical accuracy assessment overview, articulatescurrent technical shortcomings, and identified numerous issues that were debated throughout the symposium. All chapters underwent a peer review and were determined to be valuable to the remote sensing and GIS community. The editors arranged the chapters as a series of complementary scientific topics to provide you with a detailed treatise on spatial data accuracy assessment issues.

Urban Remote Sensing The second edition of Urban Remote Sensing is a state-of-the-art review of the latest progress in the subject. The text examines how evolving innovations in remote sensing allow to deliver the critical information on cities in a timely and cost-effective way to support various urban management activities and the scientific research on urban morphology, socio-environmental dynamics, and sustainability. Chapters are written by leading scholars from a variety of disciplines including remote sensing, GIS, geography, urban planning, environmental science, and sustainability science, with case studies predominately drawn from North America and Europe. A review of the essential and emerging research areas in urban remote sensing including sensors, techniques, and applications, especially some critical issues that are shifting the -directions in urban remote sensing research. Illustrated in full color throughout, including numerous relevant case studies and extensive discussions of important concepts and cutting-edge technologies to enable clearer understanding for non-technical audiences. Urban Remote Sensing, Second Edition will be of particular interest to upper-division undergraduate and graduate students, researchers and professionals working in the fields of remote sensing, geospatial information, and urban & environmental planning.

Commuting, the daily link between residences and workplaces, sets up the complex interaction between the two most important land uses (residential and employment) in a city, and dictates the configuration of urban structure. In addition to prolonged time and stress for individual commuters on traffic, commuting comes with additional societal costs including elevated crash risks, worsening air quality, and louder traffic noise, etc. These issues are important to city planners, policy researchers, and decision makers. GIS-Based Simulation and Analysis of Intra-Urban Commuting, presents GIS-based simulation, optimization and statistical approaches to measure, map, analyze, and explain commuting patterns including commuting length and efficiency. Several GIS-automated easy-to-use tools will be available, along with sample data, for readers to download and apply to their own studies. This book recognizes that reporting errors from survey data and use of aggregated zonal data are two sources of bias in estimation of wasteful commuting, it studies the temporal trend of intraurban commuting pattern based on the most recent period newly-available 2006-2010, and it focuses on commuting, and especially wasteful commuting within US cities. It includes ready-to-download GIS-based simulation tools and sample data, and an explanation of optimization and statistical techniques of how to measure commuting, as well as presenting a methodology that can be applicable to other studies. This book is an invaluable resource for students, researchers, and practitioners in geography, urban planning, public policy, transportation engineering, and other related disciplines.

Urban Remote Sensing, Second Edition assembles a team of professional experts to provide a much-needed update on the applications of remote sensing technology to urban and suburban areas. This book reflects new developments in spaceborne and airborne sensors, image processing methods and techniques, and wider applications of urban remote sensing to meet societal and economic challenges. In various sections of the book the authors address methods for upscaling urban feature extraction to the global scale, new methods in mapping and detecting urban landscape features and structures, and mapping and monitoring urbanization in developing countries. Additionally, readers are provided with valuable case studies such as the HEAT (Heat Energy Assessment Technologies) project in Calgary, Canada and the use of VHR (very high resolution) satellite monitoring in Salzburg, Austria to tackle challenges of urban green planning. Features Explores the most up-to-date developments in the field of urban remote sensing Integrates both technical and practical aspects covering all different topics of global urban growth issues Provides new and updated contributions addressing data mining of remotely sensed big data, recent urban studies on a global scale, accuracy assessment and validation, and new technical challenges Examines various applications of urban remote sensing in support of urban planning, environmental management, and sustainable urban development Authors are renowned figures in the field of remote sensing

High spatial resolution remote sensing is an area of considerable current interest and builds on developments in object-based image analysis, commercial high-resolution satellite sensors, and UAVs. It captures more details through high and very high resolution images (10 to 100 cm/pixel). This unprecedented level of detail offers the potential extraction of a range of multi-resource management information, such as precision farming, invasive and endangered vegetative species delineation, forest gap sizes and distribution, locations of highly valued habitats, or sub-canopy topographic information. Information extracted in high spatial remote sensing data right after a devastating earthquake can help assess the damage to roads and buildings and aid in emergency planning for contact and evacuation. To effectively utilize information contained in high spatial resolution imagery, High Spatial Resolution Remote Sensing: Data, Analysis, and Applications addresses some key questions: What are the challenges of using new sensors and new platforms? What are the cutting-edge methods for fine-level information extraction from high spatial resolution images? How can high spatial resolution data improve the quantification and characterization of physical-environmental or human patterns and processes? The answers are built in three separate parts: (1) data acquisition and preprocessing, (2) algorithms and techniques, and (3) case studies and applications. They discuss the opportunities and challenges of using new sensors and platforms and high spatial resolution remote sensing data and recent developments with a focus on UAVs. This work addresses the issues related to high spatial image processing and introduces cutting-edge methods, summarizes state-of-the-art high spatial resolution applications, and demonstrates how high spatial resolution remote sensing can support the extraction of detailed information needed in different systems. Using various high spatial resolution data, the third part of this book covers a range of unique applications, from grasslands to wetlands, karst areas, and cherry orchard trees.

Provides up-to-date developments in the field of remote sensing by assessing scale issues in land surface, properties, patterns, and processes

Scale is a fundamental and crucial issue in remote sensing studies and image analysis. GIS and remote sensing scientists use various scaling techniques depending on the types of remotely sensed images and geospatial data used. Scaling techniques affect image analysis such as object identification and change detection.

This book offers up-to-date developments, methods, and techniques in the field of GIS and remote sensing and features articles from internationally renowned authorities on three interrelated perspectives of scaling issues: scale in land surface properties, land surface patterns, and land surface processes. It also visits and reexamines the fundamental theories of scale and scaling by well-known experts who have done substantial research on the topics.

Edited by a prominent authority in the geographic information science community, "Scale Issues in Remote Sensing" Offers an extensive examination of the fundamental theories of scale issues along with current scaling techniquesStudies scale issues from three interrelated perspectives: land surface properties, patterns, and processesAddresses the impact of new frontiers in Earth observation technology (high-resolution, hyperspectral, Lidar sensing, and their synergy with existing technologies) and advances in remote sensing imaging science (object-oriented image analysis and data fusion)Prospects emerging and future trends in remote sensing and their relationship with scale

"Scale Issues in Remote Sensing" is ideal as a professional reference for practicing geographic information scientists and remote sensing engineers as well as supplemental reading for graduate level students.

GIS and the Social Sciences offers a uniquely social science approach on the theory and application of GIS with a range of modern examples. It explores how human geography can engage with a variety of important policy issues through linking together GIS and spatial analysis, and demonstrates the importance of applied GIS and spatial analysis for solving real-world problems in both the public and private sector. The book introduces basic theoretical material from a social science perspective and discusses how data are handled in GIS, what the standard commands within GIS packages are, and what they can offer in terms of spatial analysis. It covers the range of applications for which GIS has been primarily used in the social sciences, offering a global perspective of examples at a range of spatial scales. The book explores the use of GIS in crime, health, education, retail location, urban planning, transport, geodemographics, emergency planning and poverty/income inequalities. It is supplemented with practical activities and datasets that are linked to the content of each chapter and provided on an eResource page. The examples are written using ArcMap to show how the user can access data and put the theory in the textbook to applied use using proprietary GIS software. This book serves as a useful guide to a social science approach to GIS techniques and applications. It provides a range of modern applications of GIS with associated practicals to work through, and demonstrates how researcher and policy makers alike can use GIS to plan services more effectively. It will prove to be of great interest to geographers, as well as the broader social sciences, such as sociology, crime science, health, business and marketing.

Geoinformatics for Marine and Coastal Management provides a timely and valuable assessment of the current state of the art geoinformatics tools and methods for the management of marine systems. This book focuses on the cutting-edge coverage of a wide spectrum of activities and topics such as GIS-based application of drainage basin analysis, contribution of ontology to marine management, geoinformatics in relation to fisheries management, hydrography, indigenous knowledge systems, and marine law enforcement. The authors present a comprehensive overview of the field of Geoinformatic Applications in Marine Management covering key issues and debates with specific case studies illustrating real-world applications of the GIS technology. This "box of tools" serves as a long-term resource for coastal zone managers, professionals, practitioners, and students alike on the management of oceans and the coastal fringe, promoting the approach of allowing sustainable and integrated use of oceans to maximize opportunities while keeping risks and hazards to a minimum.

This is a book about how ecologists can integrate remote sensing and GIS in their research. It will allow readers 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. An Introduction to Spatial Data Analysis introduces spatial data handling using the open source software Quantum GIS (QGIS). In addition, readers will be guided through their first steps in the R programming language. The authors explain the fundamentals of spatial data handling and analysis, empowering the reader to turn data acquired in the field into actual spatial data. Readers will learn to process and analyse spatial data of different types and interpret the data and results. After finishing this book, readers will be able to address questions such as "What is the distance to the border of the protected area?", "Which points are located close to a road?", "Which fraction of land cover types exist in my study area?" using different software and techniques. This book is for novice spatial data users and does not assume any prior knowledge of spatial data itself or practical experience working with such data sets. Readers will likely include student and professional ecologists, geographers and any environmental scientists or practitioners who need to collect, visualize and analyse spatial data. The software used is the widely applied open source scientific programs QGIS and R. All scripts and data sets used in the book will be provided online at book.ecosens.org. This book covers specific methods including: what to consider before collecting in situ data how to work with spatial data collected in situ the difference between raster and vector data how to acquire further vector and raster data how to create relevant environmental information how to combine and analyse in situ and remote sensing data how to create useful maps for field work and presentations how to use QGIS and R for spatial analysis how to develop analysis scripts

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.

The Routledge Companion to Spatial History explores the full range of ways in which GIS can be used to study the past, considering key questions such as what types of new knowledge can be developed solely as a consequence of using GIS and how effective GIS can be for different types of research. Global in scope and covering a broad range of subjects, the chapters in this volume discuss ways of turning sources into a GIS database, methods of analysing these databases, methods of visualising the results of the analyses, and approaches to interpreting analyses and visualisations. Chapter authors draw from a diverse collection of case studies from around the world, covering topics from state power in imperial China to the urban property market in nineteenth-century Rio de Janeiro, health and society in twentieth-century Britain and the demographic impact of the Second Battle of Ypres in 1915. Critically evaluating both the strengths and limitations of GIS and illustrated with over two hundred maps and figures, this volume is an essential resource for all students and scholars interested in the use of GIS and spatial analysis as a method of historical research.

The Virtual and the Real in Planning and Urban Design: Perspectives, Practices and Applicationsexplores the merging relationship between physical and virtual spaces in planning and urban design. Technological advances such as smart sensors, interactive screens, locative media and evolving computation software have impacted the ways in which people experience, explore, interact with and create these complex spaces. This book draws together a broad range of interdisciplinary researchers in areas such as architecture, urban design, spatial planning, geoinformation science, computer science and psychology to introduce the theories, models, opportunities and uncertainties involved in the interplay between virtual and physical spaces. Using a wide range of international contributors, from the UK, USA, Germany, France, Switzerland, Netherlands and Japan, it provides a framework for assessing how new technology alters our perception of physical space.