Geospatial intelligence : origins and evolution
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A riveting introduction to the complex and evolving field of geospatial intelligence. Although geospatial intelligence is a term of recent origin, its underpinnings have a long and interesting history. Geospatial Intelligence: Origins and Evolution shows how the current age of geospatial knowledge evolved from its ancient origins to become ubiquitous in daily life across the globe. Within that framework, the book weaves a tapestry of stories about the people, events, ideas, and technologies that affected the trajectory of what has become known as GEOINT. Author Robert M. Clark explores the historical background and subsequent influence of fields such as geography, cartography, remote sensing, photogrammetry, geopolitics, geophysics, and geographic information systems on GEOINT. Although its modern use began in national security communities, Clark shows how GEOINT has rapidly extended its reach to other government agencies, NGOs, and corporations. This global explosion in the use of geospatial intelligence has far-reaching implications not only for the scientific, academic, and commercial communities but for a society increasingly reliant upon emerging technologies. Drones, the Internet of things, and cellular devices transform how we gather information and how others can collect that information, to our benefit or detriment.
Satellite Remote Sensing and the Management of Natural Resources
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The ability to anticipate the impacts of global environmental changes on natural resources is fundamental to designing appropriate and optimised adaptation and mitigation strategies. However, this requires the scientific community to have access to reliable, large-scale information onspatio-temporal changes in the distribution of abiotic conditions and on the distribution, structure, composition, and functioning of ecosystems.Satellite remote sensing can provide access to some of this fundamental data by offering repeatable, standardised, and verifiable information that is directly relevant to the monitoring and management of our natural capital. This book demonstrates how ecological knowledge and satellite-basedinformation can be effectively combined to address a wide array of current natural resource management needs. By focusing on concrete applied examples in both the marine and terrestrial realms, it will help pave the way for developing enhanced levels of collaboration between the ecological andremote sensing communities, as well as shaping their future research directions.Satellite Remote Sensing and the Management of Natural Resources is primarily aimed at ecologists and remote sensing specialists, as well as policy makers and practitioners in the fields of conservation biology, biodiversity monitoring, and natural resource management.
LiDAR Technologies and Systems
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LiDAR is one of many active sensor technologies that uses electromagnetic radiation. Operating in the optical and infrared wavelengths, it is similar to more-familiar passive EO/IR sensor technology. It is also similar to radar in that it uses reflected electromagnetic radiation emitted by the sensor. LiDAR is commonly used for making high-resolution maps and has applications in geodesy, geomatics, archaeology, geography, geology, geomorphology, seismology, forestry, atmospheric physics, laser guidance, airborne laser swath mapping, and laser altimetry. It is also being used for control and navigation of some autonomous cars. The first part of LiDAR Technologies and Systems introduces LiDAR and its history, and then covers the LiDAR range equation and the link budget (how much signal a LiDAR must emit in order to get a certain number of reflected photons back), as well as the rich phenomenology of LiDAR, which results in a diverse array of LiDAR types. The middle chapters discuss the components of a LiDAR system, including laser sources and modulators, LiDAR receivers, beam-steering approaches, and LiDAR processing. The last part covers testing, performance metrics, and significant applications, including how to build systems for some of the more popular applications.
LiDAR remote sensing and applications
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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
GIS Approaches for Remote Sensing and Photogrammetry
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Geographic Information Systems (GIS) use satellites to gather relevant data and information for accurate representations of the Earth and its geographic features. It provides a simple solution so as to sort, classify and monitor the various environmental and geographical (natural and human) processes that are occurring in the world. GIS often rely on maps of various scales to interpret new information. Precise GIS models have diverse industrial applications. This book on GIS approaches for remote sensing and photogrammetry will help new researchers by foregrounding their knowledge in this branch. It aims to serve as a resource guide for students and experts alike and contribute to the growth of the discipline.
High Spatial Resolution Remote Sensing
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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 Applicationsaddresses 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.
Hyperspectral remote sensing : fundamentals and practices.
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Advanced imaging spectral technology and hyperspectral analysis techniques for multiple applications are the key features of the book. This book will present in one volume complete solutions from concepts, fundamentals, and methods of acquisition of hyperspectral data to analyses and applications of the data in a very coherent manner. It will help readers to fully understand basic theories of HRS, how to utilize various field spectrometers and bioinstruments, the importance of radiometric correction and atmospheric correction, the use of analysis, tools and software, and determine what to do with HRS technology and data.
Imagery and GIS : best practices for extracting information from imagery
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Imagery and GIS, working together, expand our perspective so that we can better perceive and understand The Science of Where(tm). Today, most maps include imagery in the form of aerial photos, satellite images, thermal images, digital elevation models, and scanned maps. Imagery and GIS: Best Practices for Extracting Information from Imagery shows how imagery can be integrated successfully into GIS maps and analysis. In this essential reference, discover how imagery brings value to GIS and how GIS can be used to derive value from imagery. Learn from case studies and in-depth explanations about selecting the _right_ imagery, image analysis, how to efficiently manage and serve imagery datasets, and how to accurately extract information from imagery. The authors_ experience working together on numerous research, teaching, and operational remote sensing and GIS applications bestow the book with both the newest innovations, as well as proven advice. Apply the best practices found in Imagery and GIS to obtain the most value from imagery in your own GIS projects.
The ArcGIS imagery book : new view, new vision
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Explore how imagery and remote sensing power modern GIS. With The ArcGIS Imagery Book, you will roll up your sleeves and quickly begin putting imagery to smarter, more skillful use with your GIS. Even armchair geographers will appreciate this book and its electronic companion www.thearcgisimagerybook.com for the wealth of gorgeous, inspiring, and occasionally troubling images and links to powerful web apps and maps that weave interesting stories about our planet and the issues we face. Appropriate for those very familiar with geographic information systems and those who have never heard of the term.
Instructional Guide for the ArcGIS Imagery Book
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This companion textbook to The ArcGIS Imagery Book: New View, New Vision (Esri Press, 2016) builds on the foundational concepts laid out in The ArcGIS Imagery Book. Whether you are a self-learner, currently teaching, or are planning to teach GIS, this guide provides the materials to develop and apply ArcGIS Imagery tools and concepts. Using The ArcGIS Imagery Book's structure as a starting point, each chapter provides students and teachers with activities, resources, lessons and data that reflect the interaction between components of ArcGIS Online, as well as GIS applications for publishing to the web and mobile devices. A combination of scenario driven and skill-based lessons (including many that don't require downloading any software), not only offer practice in the use of these tools but also inspire a deeper understanding of the potential and power of Web GIS. Includes downloadable instructor resources.
Essential Earth Imaging for GIS
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A guide to imaging technology and management, Essential Earth Imaging for GIS discusses characteristics of images obtained from aircraft and spacecraft, and how to enhance, register, and visually interpret multispectral imagery and point clouds. Geographic information system (GIS) professionals can use this book to learn about basic imaging technology. Students can use this book as a reference for introductory GIS courses that include multispectral image display and analysis.
Close up at a distance : mapping, technology, and politics
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The past two decades have seen revolutionary shifts in our ability to navigate, inhabit, and define the spatial realm. The data flows that condition much of our lives now regularly include Global Positioning System (GPS) readings and satellite images of a quality once reserved for a few militaries and intelligence agencies, and powerful geographic information system (GIS) software is now commonplace. These new technologies have raised fundamental questions about the intersection between physical space and its representation, virtual space and its realization. In Close Up at a Distance, Laura Kurgan offers a theoretical account of these new digital technologies of location and a series of practical experiments in making maps and images with spatial data. Neither simply useful tools nor objects of wonder or anxiety, the technologies of GPS, GIS, and satellite imagery become, in this book, the subject and the medium of a critical exploration. Close Up at a Distance records situations of intense conflict and struggle, on the one hand, and fundamental transformations in our ways of seeing and of experiencing space, on the other. Kurgan maps and theorizes mass graves, incarceration patterns, disappearing forests, and currency flows in a series of cases that range from Kuwait (1991) to Kosovo (1999), New York (2001) to Indonesia (2010). Using digital spatial hardware and software designed for military and governmental use in reconnaissance, secrecy, monitoring, ballistics, the census, and national security, Kurgan engages and confronts the politics and complexities of these technologies and their uses. At the intersection of art, architecture, activism, and geography, she uncovers, in her essays and projects, the opacities inherent in the recording of information and data and reimagines the spaces they have opened up.
Geoinformatics in Applied Geomorphology
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With recent innovations in the arena of remote sensing and geographic information systems, the use of geoinformatics in applied geomorphology is receiving more attention than ever. Geoinformatics in Applied Geomorphology examines how modern concepts, technologies, and methods in geoinformatics can be used to solve a wide variety of applied geomorphologic problems, such as characterization of arid, coastal, fluvial, aeolian, glacial, karst, and tectonic landforms; natural hazard zoning and mitigations; petroleum exploration; and groundwater exploration and management. Using case studies to illustrate concepts and methods, this book covers: Arid environments, such as the Thar desert, West Texas, the Qatar Peninsula, and the Dead Sea areas Coastal shoreline changes in Kuwait Coastal zone management in India Estuarine bathymetric study of Tampa Bay, Florida Fluvial landforms of the Elbe river basin, Germany Subsurface coastal geomorphology and coastal morphological changes due to tsunamis in the East coast of India The Himalayas, Jammu & Kashmir, Western Ghats, and Precambrian terrain of South India The result of extensive research by an interdisciplinary team of contributors, Geoinformatics in Applied Geomorphology is designed for students, researchers, and professionals in the areas of geomorphology, geological engineering, geography, remote sensing, and geographic information systems.
Introduction to Remote Sensing
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A leading text for undergraduate- and graduate-level courses, this book introduces widely used forms of remote sensing imagery and their applications in plant sciences, hydrology, earth sciences, and land use analysis. The text provides comprehensive coverage of principal topics and serves as a framework for organizing the vast amount of remote sensing information available on the Web. Including case studies and review questions, the book's four sections and 21 chapters are carefully designed as independent units that instructors can select from as needed for their courses. Illustrations include 29 color plates and over 400 black-and-white figures. New to This Edition *Reflects significant technological and methodological advances. *Chapter on aerial photography now emphasizes digital rather than analog systems. *Updated discussions of accuracy assessment, multitemporal change detection, and digital preprocessing. *Links to recommended online videos and tutorials.
Remote Sensing and GIS
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Beginning with the history and basic concepts of remote sensing and GIS, the book gives an exhaustive coverage of optical, thermal and microwave remote sensing, global navigation satellite systems (such as GPS), digital photogrammetry, visual image analysis, digital image processing, spatialand attribute data model, geospatial analysis, and planning, implementation and management of GIS. It also presents the modern trends of remote sensing and GIS with an illustrated discussion on its numerous applications. The appendices provide the prerequisites required for understanding remotesensing and GIS technology.
Small-Format Aerial Photography: Principles, Techniques and Geoscience Applications
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As the need for geographical data rapidly expands in the 21st century, so too do applications of small-format aerial photography for a wide range of scientific, commercial and governmental purposes. Small-format Aerial Photography (SFAP) presents basic and advanced principles and techniques with an emphasis on digital cameras. Unmanned platforms are described in considerable detail, including kites, helium and hot-air blimps, model airplanes, and paragliders. Several case studies, primarily drawn from the geosciences, are presented to demonstrate how SFAP is actually used in various applications. Many of these integrate SFAP with ground-based investigations as well as conventional large-format aerial photography, satellite imagery, and other kinds of geographic information.
Classification Methods for Remotely Sensed Data
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Since the publishing of the first edition of Classification Methods for Remotely Sensed Data in 2001, the field of pattern recognition has expanded in many new directions that make use of new technologies to capture data and more powerful computers to mine and process it. What seemed visionary but a decade ago is now being put to use and refined in commercial applications as well as military ones. Keeping abreast of these new developments, Classification Methods for Remotely Sensed Data, Second Edition provides a comprehensive and up-to-date review of the entire field of classification methods applied to remotely sensed data. This second edition provides seven fully revised chapters and two new chapters covering support vector machines (SVM) and decision trees. It includes updated discussions and descriptions of Earth observation missions along with updated bibliographic references. After an introduction to the basics, the text provides a detailed discussion of different approaches to image classification, including maximum likelihood, fuzzy sets, and artificial neural networks. This cutting-edge resource: Presents a number of approaches to solving the problem of allocation of data to one of several classes Covers potential approaches to the use of decision trees Describes developments such as boosting and random forest generation Reviews lopping branches that do not contribute to the effectiveness of the decision trees Complete with detailed comparisons, experimental results, and discussions for each classification method introduced, this book will bolster the work of researchers and developers by giving them access to new developments. It also provides students with a solid foundation in remote sensing data classification methods.
Manual of Aerial Survey: Primary Data Acquisition
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The first step in mapping, GIS, and remote sensing is data acquisition. A multidisciplinary effort, data acquisition involves aviation, navigation, photography, both film and digital cameras, GPS systems, ground control, photogrammetry, and computerized systems. Above all else, successful data acquisition requires a full working knowledge of modern techniques and technologies. Manual of Aerial Survey: Primary Data Acquisition is the second edition of what has become the definitive reference for aerial surveying. Eminently practical and authored by professionals with more than 90 years of combined experience in the field, this text covers all the essentials of aerial photography, with particular emphasis on the survey aspects of the subject. Using a fresh approach and a minimum of mathematics, the authors take you from basic camera requirements, film types, and processing, to step by step guidelines for mission planning and operational procedures. Their topics include differential GPS systems, survey flight management systems, modern film survey cameras, digital cameras, and laser profilers. Other leading-edge topics include laser profilers, airborne laser mapping, satellite systems, and soft-copy photogrammetry using desktop computer systems, film scanners, and digital camera inputs. Military reconnaissance, aerial archaeology, remote sensing, surveillance, and a myriad of commercial and industrial applications all depend on aerial data acquisition. Designed to give fast answers to questions on aerial photography, Manual of Aerial Survey offers an expert, efficient introduction to the field and brings you quickly up to date on equipment and techniques.
Aerial mapping : methods and applications
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Second Edition provides you with a practical understanding of aerial photography, remote sensing, and photogrammetric mapping. The content is deliberately semi-technical and processes are discussed in a manner easily accessible to anyone regardless of their technical or scientific background. This new edition highlights the significant changes in equipment and techniques. High-speed computers, scanners, and remote sensors have changed the way mapping is done. The principles of photogrammetry, image analysis, and remote sensing have become dynamically intertwined. With the solid grounding in basic procedures that Aerial Mapping: Methods and Applications, Second Edition provides you can apply your knowledge to the special conditions of each aerial mapping project.
The Book of the World
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A massive (14x20.5) reference on the wonders of the natural world that could equally serve as an art book for the coffee-table. It begins with 24 pages o satellite pictures of landmarks such as Mount Kilimanjaro, the Amazon, and t Grand Canyon, followed by 64 pages of closer-up photographs of land
Exploring Remote Sensing: Methods and Applications
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Exploring Remote Sensing - Methods and Applications is a comprehensive guide that examines the transformative world of remote sensing technologies. Structured into three distinct sections, the book begins with section 1, “Advanced Techniques in Remote Sensing”, which presents methodologies for landslide detection, asbestos-cement mapping, and wetland monitoring, highlighting the integration of computational optics and Google Earth Engine. Section 2, “Geospatial Frontiers: Challenges and Innovations”, addresses the complexities and opportunities within distributed geospatial information systems and the potential of geospatial data, emphasizing the need for adaptive strategies in an evolving landscape. In the final section, “Harnessing Remote Sensing for Agricultural Insights”, the readers will discover innovative crop yield prediction techniques and vegetation indices' impact on land surface temperature, showcasing the pivotal role of remote sensing in sustainable agriculture. This book is an essential resource for researchers, practitioners, and students aiming to explore the vast applications of remote sensing in addressing contemporary challenges.
Remote Sensing for Geophysicists
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This book aims to integrate exploration geophysics with remote sensing as a cost-effective method and easy to implement for prospecting in different areas. It provides exploration geophysicists with the necessary information on how to use advanced remote sensing technology in the exploration of oil and gas, minerals, and groundwater.
Remote Sensing for Geoscientists: Image Analysis and Integration
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The fourth edition of the bestselling Remote Sensing for Geoscientists: Image Analysis and Integration expands the scope of remote sensing to cover image systems that did not exist 11 years ago when the third edition was published. It is thoroughly updated to meet the needs of readers today and provides examples of new capabilities using Google Earth© and various apps. It describes the latest remote sensing systems and sensors, provides examples of imagery, and explains how to analyze and integrate remote sensing images in projects that require superior results. Lavishly illustrated, it serves as a how-to guide for those using remote sensing in Earth Sciences for mapping and monitoring. New in the Fourth Edition: Thoroughly revised to address remote sensing technological advances achieved in recent years. Includes new examples of using remote sensing for successful projects in water, oil, gas, and mineral exploration and exploitation, forensic remote sensing, and environmental monitoring. Reviews the latest instrumentation, processing, and integrated analysis of imagery. Includes two new chapters, including one on clandestine geologic remote sensing and a new chapter on free Google Earth software to remotely sense anywhere on Earth and process imagery to highlight geologic features. Maintains a clear style and simple language understandable by the average person. This is a terrific, all-encompassing text for professionals in industry and governmental agencies, academics, and students who are part of the remote sensing and geospatial community and working in the fields of geology, geosciences, energy and mining industry, groundwater, and environmental engineering and for those who are involved in monitoring natural resources, the environment, and natural disasters.
Introduction to Mathematical Techniques Used in GIS, Third Edition
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Thoroughly updated and reorganized to focus more on applications and problem solving by mathematical techniques, this book explains the basic architecture of computing as it relates to GIS, includes new application examples of selected mathematical methods, and introduces 3D modeling, machine learning, and more.
Explainable AI for Earth Observation Data Analysis : applications, opportunities, and challenges
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The role of artificial intelligence is crucial in the domain of Earth Observation (EO) data analysis. Deep learning-based approaches have improved accuracy, but they have affected the reliability and transparency of EO data. It is critical to improve the explainability of EO data analysis algorithms and complex deep learning models to ensure the quality of spatial decisions. This book discusses the various advancements in Explainable AI and investigates their suitability for various EO data analyses offering best practices for implementing algorithms that facilitate big and efficient data processing. It lays the foundation of Explainable EO and helps readers build trustworthy, secure, and robust EO systems. Features: Examines explainability of algorithms from the aspect of generalizability and reliability Reviews state-of-the-art explainability strategies related to the preprocessing algorithms Provides explanations for specific evaluation metrics of various EO data processing and preprocessing algorithms Discusses explainable ante-hoc and post-hoc approaches for EO data analysis Serves as a foundational reference for developing future EO data processing strategies Addresses the key challenges in making EO data processing algorithms interpretable and offers insights for the future of explainable EO data processing This book is intended for graduate students, researchers and academics in computer and data science, machine learning, and image processing, as well as professionals in geospatial data science using GIS and remote sensing in Earth and environmental sciences.
Fieldwork Handbook: a Practical Guide on the Go
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Make your work in the field more efficient and productive with the how-to of location intelligence. A biologist in a rain forest making observations on indigenous frogs, an engineer maintaining utility equipment, or a citizen scientist taking water samples from a creek are all doing fieldwork. Their work is anchored by location. No matter what electronic tools they take into the field, they all take a notebook or a guidebook. As you head into the field along with all your equipment, be sure to include this practical fieldwork guide. Fieldwork Handbook gives you tips, best practices, and activities that make your work in the field more productive and successful. No matter how you use location intelligence in the field, you can up your game with this book and improve your experience. Covering preparation, equipment, workflows, and data, this book will teach you how to Organize and reconcile field data Effectively coordinate and dispatch field resources Refine fieldwork workflows Sync the office with the field Author and Esri product engineer Marika Vertzonis learned about geospatial technology in the field, and she knows what you need to know. This handbook is your friend in the field.
Advances in Machine Learning and Image Analysis for GeoAI
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Advances in Machine Learning and Image Analysis for GeoAI provides state-of-the-art machine learning and signal processing techniques for a comprehensive collection of geospatial sensors and sensing platforms. The book covers supervised, semi-supervised and unsupervised geospatial image analysis, sensor fusion across modalities, image super-resolution, transfer learning across sensors and time-points, and spectral unmixing among other topics. The chapters in these thematic areas cover a variety of algorithmic frameworks such as variants of convolutional neural networks, graph convolutional networks, multi-stream networks, Bayesian networks, generative adversarial networks, transformers and more.Advances in Machine Learning and Image Analysis for GeoAI provides graduate students, researchers and practitioners in the area of signal processing and geospatial image analysis with the latest techniques to implement deep learning strategies in their research. Covers the latest machine learning and signal processing techniques that can effectively leverage multimodal geospatial imagery at scale Chapters cover a variety of algorithmic frameworks pertaining to GeoAI, including superresolution, self-supervised learning, data fusion, explainable AI, among others Presents cutting-edge deep learning architectures optimized for a wide array of geospatial imagery
Introduction to LiDAR Remote Sensing
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"Light Detection and Ranging or LiDAR is an advanced active remote sensing technology developed in the last 30 years to measure variable distances to the Earth. This book explains the fundamental concepts of LiDAR technology and its extended spaceborne, airborne, terrestrial, mobile, and UAV platforms. It addresses the challenges of massive LiDAR data intelligent processing, LiDAR software engineering, and in-depth applications. The theory and algorithms are integrated with multiple applications in a systematic way and with step-by-step instructions. This book is a comprehensive resource for undergraduate and graduate students, and practitioners in the field of LiDAR remote sensing"
Remote Sensing: Theory and Applications
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This book explores the world of remote sensing technology, offering comprehensive insights into its principles, data acquisition methods, advanced processing techniques, and diverse applications. It covers the basics of remote sensing such as the foundational principles and data acquisition techniques, image pre-processing, such as noise removal, radiometric corrections, and image fusion, and advanced classification techniques like machine learning algorithms including neural networks and support vector machines. Finally, it discusses disaster management and agriculture, demonstrating how remote sensing methods are revolutionizing fields such as disaster response and agricultural monitoring. Professionals, researchers, and students involved in environmental sciences, geography, urban planning, and disaster management will benefit from these topics.
GNSS Monitoring of the Terrestrial Environment: Earthquakes, Volcanoes and Climate Change
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GNSS Monitoring of the Terrestrial Environment: Earthquakes, Volcanoes, and Climate Change presents the application of GNSS technologies to natural hazards on Earth. The book details the background theory of the GNSS techniques discussed and takes the reader through applications and implementation. Tables comparing GNSS with other geodetic techniques, such as SAR, VLBI, SLR, and conventional geodetic methods such as strainmeters, tiltmeters, and leveling surveys are also included. The book concludes with a chapter bridging both parts, discussing the relationship between earthquakes, volcanism, and climate change. The book is aimed at academics, researchers, and advanced students working in the fields of remote sensing technologies or natural hazards. It is divided into two parts, with the first covering the monitoring of earthquakes, volcanoes, and applications of GNSS signals to better understand earthquakes and volcanism, while the second part covers monitoring climate change with GNSS. Provides a detailed focus on the utility of GNSS technologies for dealing with natural hazards Details theory and applications of GNSS to natural hazards, allowing readers to develop a thorough understanding on the theoretical background as well as practical applications Covers the latest developments in the field, along with future perspectives as GNSS technologies are expected to evolve
Advances in Geospatial Technologies for Natural Resource Management
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Timely and reliable information on natural resources, regarding their potential and limitations, is a prerequisite for sustainable development. Geospatial technologies offer immense potential in providing such information in a timely and cost-effective manner. Using orbital sensors data in conjunction with airborne and proximal sensors data to generate information on soils and agricultural resources, forests, mineral resources, fossil fuel, wetlands, water resources, and marine resources, this book focuses on the advancements in technologies applicable to managing these resources. It addresses global issues like climate change and land degradation neutrality and introduces spatial data infrastructure (SDI) as a mechanism for sharing geospatial data. This book also provides an in-depth discussion on drones, crowdsourcing, cloud computing, Internet of Things, machine learning, and their applications. FEATURES Contains a comprehensive resource on the latest developments in geospatial technologies and their use in monitoring natural resources, productivity mapping, and modeling Explains the geo-computation methods and online algorithm developments Includes clear guidance on how best to use geospatial data for various applications Discusses case studies from a variety of fields and current trends in the management of natural resources Provides future scenarios concerning platforms, sensors, data analysis, and interpretation techniques This book is written for remote sensing and GIS professionals in environmental institutions and government who are involved in natural resource management projects. Senior undergraduate and graduate-level students in Earth sciences, geography, or environmental management can also use this text for supplementary reading.
Mission-Critical Mapping : GIS for Defense and Intelligence
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Discover a geographic approach to defense and intelligence. Mission-Critical Mapping: GIS for Defense and Intelligence explores a collection of real-life stories about defense and intelligence organizations successfully using GIS to manage their high-stakes work. Defense organizations use ArcGIS to enable joint all-domain operations and provide data integration, analytics, and a decision support framework for all defense functions. GIS infrastructure allows data to flow seamlessly from headquarters to the tactical edge. This data integration, analytics, and decision support framework supports the following in a dynamic information environment: Joint all-domain operations Data analysis and visualization Knowledge management Improved decision-making Mission-Critical Mapping: GIS for Defense and Intelligence shares examples of organizations effectively using GIS to improve defense operations and readiness, intelligence collection and collaboration, and humanitarian assistance. The book also includes a section on next steps that provides ideas, strategies, tools, and actions to help jump-start your own use of GIS for defense and intelligence applications. A collection of online resources, including additional stories, videos, new ideas and concepts, and downloadable tools and content, complements this book.
Remote Sensing Handbook, Volume I: Sensors, Data Normalization, Harmonization, Cloud Computing, and Accuracies
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Volume I of the Six Volume Remote Sensing Handbook, Second Edition, is focused on satellites and sensors including radar, light detection and ranging (LiDAR), microwave, hyperspectral, unmanned aerial vehicles (UAVs), and their applications. It discusses data normalization and harmonization, accuracies, and uncertainties of remote sensing products, global navigation satellite system (GNSS) theory and practice, crowdsourcing, cloud computing environments, Google Earth Engine, and remote sensing and space law. This thoroughly revised and updated volume draws on the expertise of a diverse array of leading international authorities in remote sensing and provides an essential resource for researchers at all levels interested in using remote sensing. It integrates discussions of remote sensing principles, data, methods, development, applications, and scientific and social context. FEATURES Provides the most up-to-date comprehensive coverage of remote sensing science. Discusses and analyzes data from old and new generations of satellites and sensors. Provides comprehensive methods and approaches for remote sensing data normalization, standardization, and harmonization. Includes numerous case studies on advances and applications at local, regional, and global scales. Introduces advanced methods in remote sensing such as machine learning, cloud computing, and AI. Highlights scientific achievements over the last decade and provides guidance for future developments. This volume is an excellent resource for the entire remote sensing and GIS community. Academics, researchers, undergraduate and graduate students, as well as practitioners, decision-makers, and policymakers, will benefit from the expertise of the professionals featured in this book, and their extensive knowledge of new and emerging trends.
Remote Sensing Handbook, Volume II: Image Processing, Change Detection, GIS, and Spatial Data Analysis
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Volume II of the Six Volume Remote Sensing Handbook, Second Edition, is focused on digital image processing including image classification methods in land cover and land use. It discusses object-based segmentation and pixel-based image processing algorithms, change detection techniques, and image classification for a wide array of applications including land use/land cover, croplands, urban studies, processing hyperspectral remote sensing data, thermal imagery, light detection and ranging (LiDAR), geoprocessing workflows, frontiers of GIScience, and future pathways. This thoroughly revised and updated volume draws on the expertise of a diverse array of leading international authorities in remote sensing and provides an essential resource for researchers at all levels interested in using remote sensing. It integrates discussions of remote sensing principles, data, methods, development, applications, and scientific and social context. Features Provides the most up-to-date comprehensive coverage of digital image processing. Highlights object-based image analysis (OBIA) and pixel-based classification methods and techniques of digital image processing. Demonstrates practical examples of image processing for a myriad of applications such as land use/land cover, croplands, and urban. Establishes image processing using different types of remote sensing data that includes multispectral, radar, LiDAR, thermal, and hyperspectral. Highlights change detection, geoprocessing, and GIScience. This volume is an excellent resource for the entire remote sensing and GIS community. Academics, researchers, undergraduate and graduate students, as well as practitioners, decision makers, and policymakers, will benefit from the expertise of the professionals featured in this book, and their extensive knowledge of new and emerging trends.
Remote Sensing Handbook, Volume III: Agriculture, Food Security, Rangelands, Vegetation, Phenology, and Soils
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Volume III of the Six Volume Remote Sensing Handbook, Second Edition, is focused on agriculture; food security; vegetation; phenology; rangelands; soils; and global biomass modeling, mapping, and monitoring using multi-sensor remote sensing. It discusses the application of remote sensing in agriculture systems analysis, phenology, cropland mapping and modeling, terrestrial vegetation studies, physically based models, food and water security, precision farming, crop residues, global view of rangelands, and soils. This thoroughly revised and updated volume draws on the expertise of a diverse array of leading international authorities in remote sensing and provides an essential resource for researchers at all levels interested in using remote sensing. It integrates discussions of remote sensing principles, data, methods, development, applications, and scientific and social context. FEATURES Provides the most up-to-date comprehensive coverage of remote sensing science in agriculture, vegetation, and soil studies. Discusses and analyzes data from old and new generations of satellites and sensors spread across 60 years. Provides comprehensive assessment of modeling, mapping, and monitoring agricultural crops, vegetation, and soils from wide array of sensors, methods, and techniques. Includes numerous case studies on advances and applications at local, regional, and global scales. Introduces advanced methods in remote sensing such as machine learning, cloud computing, and AI. Highlights scientific achievements over the last decade and provides guidance for future developments. This volume is an excellent resource for the entire remote sensing and GIS community. Academics, researchers, undergraduate and graduate students, as well as practitioners, decision makers, and policymakers, will benefit from the expertise of the professionals featured in this book, and their extensive knowledge of new and emerging trends.
Remote Sensing Handbook, Volume IV: Forests, Biodiversity, Ecology, LULC, and Carbon
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Volume IV of the Six Volume Remote Sensing Handbook, Second Edition, is focused on the use of remote sensing in forestry, biodiversity, ecology, land use and land cover, and global terrestrial carbon mapping and monitoring. It discusses remote sensing studies of multi-scale habitat modeling, forest informatics, tree and stand height studies, land cover and land use (LCLU) change mapping, forest biomass and carbon modeling and mapping, and advanced image analysis methods and advances in land remote sensing using optical, radar, LiDAR, and hyperspectral remote sensing. This thoroughly revised and updated volume draws on the expertise of a diverse array of leading international authorities in remote sensing and provides an essential resource for researchers at all levels interested in using remote sensing. It integrates discussions of remote sensing principles, data, methods, development, applications, and scientific and social context. FEATURES Provides the most up-to-date comprehensive coverage of remote sensing science for forests, biodiversity, land cover and land use change (LCLUC), biomass, and carbon. Discusses and analyzes data from old and new generations of satellites and sensors spread across 60 years. Extensive forestry, LCLUC studies, biomass, and carbon using optical, radar, LiDAR, and hyperspectral data. Includes numerous case studies on advances and applications at local, regional, and global scales. Introduces advanced methods in remote sensing such as machine learning, cloud computing, and AI. Highlights scientific achievements over the last decade and provides guidance for future developments. This volume is an excellent resource for the entire remote sensing and GIS community. Academics, researchers, undergraduate and graduate students, as well as practitioners, decision makers, and policymakers, will benefit from the expertise of the professionals featured in this book and their extensive knowledge of new and emerging trends.
Remote Sensing Handbook, Volume V: Water, Hydrology, Floods, Snow and Ice, Wetlands, and Water Productivity
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Volume V of theSix Volume Remote Sensing Handbook, Second Edition, is focused on the use of remote sensing technologies for studying water resources, including groundwater, floods, snow and ice, and wetlands. It discusses water productivity studies from Earth observation data characterization and modeling, mapping their successes and challenges. Chapters include remote sensing of surface water hydrology; quantitative geomorphology; river basin studies; floods; wetlands, including mangroves and river deltas; groundwater studies; crop water use or actual evapotranspiration modeling and mapping; and snow and ice mapping. This thoroughly revised and updated volume draws on the expertise of a diverse array of leading international authorities in remote sensing and provides an essential resource for researchers at all levels interested in using remote sensing. It integrates discussions of remote sensing principles, data, methods, development, applications, and scientific and social context. FEATURES Provides the most up-to-date comprehensive coverage of remote sensing science for water resources, including wetlands, floods, snow, and ice. Provides comprehensive assessments of crop water use and crop water productivity modeling and mapping, including evapotranspiration studies. Discusses and analyzes data from old and new generations of satellites and sensors spread across 60 years. Includes numerous case studies on advances and applications at local, regional, and global scales. Introduces advanced methods in remote sensing, such as machine learning, cloud computing, and artificial intelligence (AI). Highlights scientific achievements over the last decade and provides guidance for future developments. This volume is an excellent resource for the entire remote sensing and GIS community. Academics, researchers, undergraduate and graduate students, as well as practitioners, decision makers, and policymakers, will benefit from the expertise of the professionals featured in this book and their extensive knowledge of new and emerging trends.
Remote Sensing Handbook, Volume VI: Droughts, Disasters, Pollution, and Urban Mapping
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Volume VI of the Six Volume Remote Sensing Handbook, Second Edition, is focused on the use of remote sensing in the assessment and monitoring of droughts, dry lands, biomass burning, disasters such as volcanoes and fires, and urban studies and nightlights. It discusses land degradation assessment and monitoring, greenhouse gas (GHG) emissions, and pollution from nightlights in megacities. Chapters include remote sensing of agricultural droughts, including US drought monitoring, dryland studies, coal fires, biomass burning and GHG emissions, volcanoes, humanitarian disasters, smart cities, and night lights mapping. This thoroughly revised and updated volume draws on the expertise of a diverse array of leading international authorities in remote sensing and provides an essential resource for researchers at all levels interested in using remote sensing. It integrates discussions of remote sensing principles, data, methods, development, applications, and scientific and social context. FEATURES Provides the most up-to-date comprehensive coverage of remote sensing science for droughts, disasters, and GHG emissions. Discusses and analyzes data from old and new generations of sensors. Highlights remote sensing of agricultural droughts, humanitarian and natural disasters, and GHG emissions from coal and stubble burning. Includes numerous case studies on advances and applications at local, regional, and global scales. Introduces advanced methods in remote sensing, such as machine learning, cloud computing, and AI. Highlights scientific achievements over the last decade and provides guidance for future developments. This volume is an excellent resource for the entire remote sensing and GIS community. Academics, researchers, undergraduate and graduate students, as well as practitioners, decision makers, and policymakers, will benefit from the expertise of the professionals featured in this book and their extensive knowledge of new and emerging trends.
Autonomous Mobile Mapping Robots
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This book presents recent research advances in autonomous mobile mapping robots, covering a range of topics. These include unconventional trajectories for mobile 3D scanning, key software components such as lidar odometry, look closure, pose graph SLAM, map refinement, path planning, and coverage algorithms. The book also explores multi-robot mapping and scalable algorithms for simultaneous localization and mapping. Finally, it delves into real-world applications like aerial 3D mapping and automotive SLAM in urban environments.
GIS: An Introduction to Mapping Technologies
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The second edition of this introductory GIS textbook is thoroughly rewritten and updated to respond to the demand for critical engagement with technologies that address relevant issues across several disciplines preparing students for higher-level work in geotechnologies.
Project Design for Geomatics Engineers and Surveyors, Second Edition
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Project Design for Geomatics Engineers and Surveyors, Second Edition, continues to focus on the key components and aspects of project design for geomatics and land surveying projects with the goal of helping readers navigate the priority issues when planning new projects. The second edition includes new materials on surveying and UAV, and it is thoroughly updated to keep current with the recent technology and terminology. The two new chapters capture new developments in the rapidly emerging use of remote sensing and GIS in aerial surveys, mapping, and imaging for small-to-medium scale projects, as well as modern practices and experiences in engineering surveying. 1. Provides a simple guide for geomatics engineering projects using recent and advanced technologies. 2. Includes new content on spatial data collection using GIS, drones, and 3D digital modeling. 3. Covers professional standards, professional and ethical responsibilities, and policy, social, and environmental issues related. 4. Discusses project planning including scheduling and budgeting. 5. Features practical examples with solutions and explains new methods for planning, implementing, and monitoring engineering and mining surveying projects. Undergraduate and graduate students, professors, practicing professionals and surveyors will find this new edition useful, as well as geospatial/geomatics engineers, civil engineers, mining engineers, GIS professionals, planners, land developers, and project managers.
Cloud-Based Remote Sensing with Google Earth Engine: Fundamentals and Applications
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This book guides its audience--which can range from novice users to experts-- though a 55-chapter tour of Google Earth Engine. A sequenced and diverse set of lab materials, this is the product of more than a year of effort from more than a hundred individuals, collecting new exercises from professors, undergraduates, master's students, PhD students, postdocs, and independent consultants. Cloud Based Remote Sensing with Google Earth Engine is broadly organized into two halves. The first half, Fundamentals, is a set of 31 labs designed to take the reader from being a complete Earth Engine novice to being a quite advanced user. The second half, Applications, presents a tour of the world of Earth Engine across 24 chapters, showing how it is used in a very wide variety of settings that rely on remote-sensing data This is an open access book.
Practical Handbook of Remote Sensing
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The number of Earth observation satellites launched in recent years is growing exponentially, along with the datasets they gather from free-to-access and commercial providers. The second edition of Practical Handbook of Remote Sensing is updated with new explanations and practical examples using the Copernicus satellite data and new versions of the open-source software. A new chapter and new applications have also been added. Thoroughly revised, the handbook continues to be a practical "how-to" remote sensing guide for those who want to use the technology, understand what is available, how to access it, and answer questions about our planet, but do not necessarily want to become scientific experts.
Satellite Altimetry: Theory, Applications and Recent Advances
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Satellite radar altimetry, as one of the basic space measurement techniques intended primarily for solving global geoscientific tasks by means of radar measurements from satellites towards the Earth, has become, primarily due to its accuracy, a key spatial technique for observing the ocean surface as well as many aspects of the land surface. During the last more than three decades, satellite altimetry has revolutionized the geosciences, especially oceanography, geophysics, and geodesy, enabling a much better understanding of the shape of the Earth's sea level and its changes over time. In this way, it is possible to monitor natural- and human-induced changes in the balance of water masses. For researchers in the field of geosciences, satellite radar altimetry ensures the collection of high-precision global data of uniform accuracy on sea level and therefore is essential for quality unification of vertical height systems, regional and global geoid and gravity, as well as bathymetry modelling, monitoring the impact of sea level rise as well as the vertical movement of the Earth's crust in coastal areas, ice melting detection, and more, all of which have a significant impact on climate and environmental studies. This book provides an up-to-date overview of the technology itself and some recent developments in using altimeter data to determine sea-level changes and sea-level variability, modelling marine bathymetry from satellite altimeter-derived gravity data, including the related issue of solving terrain corrections for gravity reduction, as well as the possibility of applying artificial intelligence in the monitoring of Earth's changes.
A Short Introduction to Geospatial Intelligence
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A Short Introduction to Geospatial Intelligence explains the newest form of intelligence used by governments, commercial organizations, and individuals. Geospatial Intelligence combines late 20th century historically derived ways of thinking--and early 21st century technologies of GIS, GPS, digital imaging satellites and communications satellites--to identify, measure, and analyze current risk in the world. These ways of thinking have developed from military engineering, cartography, photo-interpretation, and imagery analysis. While the oldest example dates from the early 16th century, all the ways of spatial thinking share the common thread of being developed and refined during conflicts to help military leaders make informed decisions prior to action. In the 21st century-- thanks in great part to advances in digital precision technology, miniaturization, and the commercialization of satellites--these ways of thinking have expanded from the military into various other industries and sectors including energy, agriculture, environment, law enforcement, global risk assessment, and climate monitoring. Features: · Analyzes human and algorithmic models for dealing with the challenge of analytic attention, in an age of geospatial data overload · Establishes an original model--envisioning, discovery, recording, comprehending, tracking--for the spatial thinking that underpins the practice and growth of this emerging discipline · Addresses the effects of small satellites on the collection and analysis of geospatial intelligence A Short Introduction to Geospatial Intelligence describes the development of the five steps in geospatial thinking--envisioning, discovery, recording, comprehending, and tracking--in addition to addressing the challenges, and future applications, of this newest intelligence discipline.
Landscapes of the Anthropocene with Google Earth
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This book considers the meaning of the term, considers the value and characteristics of Google Earth, and discusses the main driving forces of landscape change. Google Earth provides a means whereby one can identify changes in the landscapes of Earth over recent decades. This has been a time of great human activity, and landscapes have been transformed as a result of such factors as land use and land-cover change, climate change, the intensive harnessing of new energy sources, population pressures, and globalization. Many geologists now believe that the whole Earth System is being changed and that there is thus a need to introduce the concept of the Anthropocene. It then looks at specific landscape types, including rivers, coasts, lakes, deserts, tundra, and glaciers.
Exploring the Earth with QGIS: a Guide to Using Satellite Imagery at Its Full Potential
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With the rapid advancements in satellite technology, earth remote sensing has become an indispensable tool for a wide range of applications, from environmental monitoring to disaster management. However, the vast amount of data generated by these satellites can be overwhelming for many researchers and practitioners who lack the necessary skills and tools to process and analyze it. This is where QGIS comes in. QGIS is a powerful, open-source Geographic Information System (GIS) software that has been extensively used in the field of earth remote sensing. It provides a user-friendly platform for processing, analyzing, and visualizing satellite imagery, enabling users to unlock the full potential of earth remote sensing data. The purpose of this book is to help researchers and practitioners who lack the necessary skills and tools to process and analyze satellite imagery using QGIS. There are several books that cover the use of QGIS for earth remote sensing, but most of them areeither too technical or too general. This book fills this gap by providing a comprehensive and user-friendly guide to using QGIS for earth remote sensing applications. It includes a range of real-world case studies that demonstrate the power and versatility of QGIS for solving complex problems in earth remote sensing. This will provide readers with practical examples of how to use QGIS for earth remote sensing and inspire them to explore new applications and possibilities. The book is intended for GIS professionals, students (undergraduate and graduate), and researchers who are interested in using QGIS for earth remote sensing applications. It will be particularly useful for those who are new to QGIS or who want to expand their knowledge of the software for remote sensing purposes.
Hyperspectral Imaging and Applications
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Due to advent of sensor technology, hyperspectral imaging has become an emerging technology in remote sensing. Many problems, which cannot be resolved by multispectral imaging, can now be solved by hyperspectral imaging. The aim of this Special Issue "Hyperspectral Imaging and Applications" is to publish new ideas and technologies to facilitate the utility of hyperspectral imaging in data exploitation and to further explore its potential in different applications. This Special Issue has accepted and published 25 papers in various areas, which can be organized into 7 categories with the number of papers published in every category included in its open parenthesis. 1. Data Unmixing (2 papers)2. Spectral variability (2 papers)3. Target Detection (3 papers)4. Hyperspectral Image Classification (6 papers)5. Band Selection (2 papers)6. Data Fusion (2 papers)7. Applications (8 papers) Under every category each paper is briefly summarized by a short description so that readers can quickly grab its content to find what they are interested in.
Land Surface Monitoring Based on Satellite Imagery
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This book focuses attention on significant novel approaches developed to monitor land surface by exploiting satellite data in the infrared and visible ranges. Unlike in situ measurements, satellite data provide global coverage and higher temporal resolution, with very accurate retrievals of land parameters. This is fundamental in the study of climate change and global warming. The authors offer an overview of different methodologies to retrieve land surface parameters— evapotranspiration, emissivity contrast and water deficit indices, land subsidence, leaf area index, vegetation height, and crop coefficient—all of which play a significant role in the study of land cover, land use, monitoring of vegetation and soil water stress, as well as early warning and detection of forest fires and drought.
Land Use and Land Cover Mapping in a Changing World
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It is increasingly being recognized that land use and land cover changes driven by anthropogenic pressures are impacting terrestrial and aquatic ecosystems and their services, human society, and human livelihoods and well-being. This Special Issue contains 12 original papers covering various issues related to land use and land use changes in various parts of the world (see references), with the purpose of providing a forum to exchange ideas and progress in related areas. Research topics include land use targets, dynamic modelling and mapping using satellite images, pressures from energy production, deforestation, impacts on ecosystem services, aboveground biomass evaluation, and investigations on libraries of legends and classification systems.
Surveying with Geomatics and R
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Provides modern surveying practices with free software algorithm and R toolset for active learning Includes case studies from different geographical areas using arbitrary and international cartographic reference systems Enables and demonstrates the integration of traditional geomatics with nowadays geospatial big data technologies Explains data standards, equipment used, possible analyzes and the importance of error evaluation for scientific surveying Discusses different scales of landscapes and bring together the experiences of leading experts in the field
Introduction to Remote Sensing
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Now in full color, the sixth edition of this leading text features new chapters on remote sensing platforms (including the latest satellite and unmanned aerial systems), agriculture (including agricultural analysis via satellite imagery), and forestry (including fuel type mapping and fire monitoring). The book has introduced tens of thousands of students to the fundamentals of collecting, analyzing, and interpreting remotely sensed images. It presents cutting-edge tools and practical applications to land and water use analysis, natural resource management, climate change adaptation, and more. Each concise chapter is designed as an independent unit that instructors can use in any sequence. Pedagogical features include over 400 figures, chapter-opening lists of topics, case studies, end-of-chapter review questions, and links to recommended online videos and tutorials. New to This Edition *Discussions of Landsat 8 and Sentinel-2; the growth of unmanned aerial systems; mobile data collection; current directions in climate change detection, fire monitoring, and disaster response; and other timely topics. *Additional cases, such as river erosion; the impact of Hurricane Sandy on Mantoloking, New Jersey; and Miami Beach as an exemplar of challenges in coastal communities. *Revised throughout with 60% new material, including hundreds of new full-color figures. *New chapters on remote sensing platforms, agriculture, and forestry.
Radar Remote Sensing: Applications and Challenges
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Radar Remote Sensing: Applications and Challenges advances the scientific understanding, development, and application of radar remote sensing using monostatic, bistatic and multi-static radar geometry. This multidisciplinary reference pulls together a collection of the recent developments and applications of radar remote sensing using different radar geometry and platforms at local, regional and global levels. Radar Remote Sensing is for researchers and practitioners with earth and environmental and meteorological sciences, who are interested in radar remote sensing in ground based scatterometer and SAR systems; air borne scatterometer and SAR systems; space borne scatterometer and SAR systems. Covers monostatic, bistatic and multi-static radar geometry Features case studies, including experimental investigations, for practical application Includes geophysical, oceanographical, and meteorological Synthetic Aperture Radar data
High Resolution Optical Satellite Imagery
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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 1mThe 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.
Recent Remote Sensing Sensor Applications: Satellites and Unmanned Aerial Vehicles
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This book provides a comprehensive overview of remote sensing and its various applications. In remote sensing applications, various sensors that begin as both active and passive sensors are used. Active remote sensing transmits electromagnetic radiation that is both emitted and reflected, in contrast to passive remote sensing, which merely measures electromagnetic radiation that is reflected from the target. This book includes nine chapters that examine remote sensing for detecting ice, tracking and monitoring deforestation, identifying crop regions infected with disease, mineral and geological mapping, and much more.
Subpixel Mapping for Remote Sensing Images
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Subpixel mapping is a technology that generates a fine resolution land cover map from coarse resolution fractional images by predicting the spatial locations of different land cover classes at the subpixel scale. This book provides readers with a complete overview of subpixel image processing methods, basic principles, and different subpixel mapping techniques based on single or multi-shift remote sensing images. Step-by-step procedures, experimental contents, and result analyses are explained clearly at the end of each chapter. Real-life applications are a great resource for understanding how and where to use subpixel mapping when dealing with different remote sensing imaging data. This book would be of interest to undergraduate and graduate students, majoring in remote sensing, surveying, mapping, and signal and information processing in universities and colleges, and it can also be used by professionals and researchers at different levels in related fields.
Remote Sensing
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This Edited Volume is a collection of reviewed and relevant research chapters, offering a comprehensive overview of recent developments in the field of Remote Sensing. The book comprises single chapters authored by various researchers and edited by an expert active in this research area. All chapters are complete in themselves but united under a common research study topic. This publication aims at providing a thorough overview of the latest research efforts by international authors on this field of study, and open new possible research paths for further novel developments.
Remote Sensing Applications in Environmental and Earth System Sciences
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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.
Women and GIS, Volume 3, Champions of a sustainable world
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Impressive stories of women using geospatial technology to create sustainable solutions for problems the world faces. The third volume in the Women and GIS series shows how 31 diverse women in various STEAM fields discovered their passion, broke down barriers, and used maps, analysis, imagery, and geographic information systems (GIS) to advance their fields and improve the world. Sharing their experiences from childhood and throughout their careers, each woman reveals her journey in an inspiring recollection of the obstacles she has overcome, the knowledge she has gained along the way, and how tenacity and determination have helped her succeed. Each woman shares tips and words of wisdom that she's gained along the way, including: Priscilla Mbama Abasi: "Think big! Think about going to space, think about building things no one has seen before." Arianna Armelli: "If you are like me and crave the freedom to explore a path of the unknown, aka entrepreneurship, a career in STEM will foster the technical foundation to achieve those goals." Gabi Fleury: "The best advice I was given starting out was 'forge your own path.' Conservation isn't a structured, straight-line career, you can get into it in many ways. This is exciting, but it also can be really challenging, because you have to be flexible, innovative, and always on the lookout for the next opportunity." Healy Hamilton: "Success, to me, is a daily feeling that you are living true to your values, that you are meaningfully contributing to the world you want to create." Katharine Hayhoe: "While it's important to have people you respect and trust give you feedback at key points in your career, when it all comes down to it, you have to make the decisions that feel right for you, not the ones that necessarily look best on paper. You're the one who has to live with them." Featuring strong, persevering women from around the globe, the stories found in Women and GIS, Volume 3: Champions of a Sustainable World will inspire readers who are developing their own life stories to strive for success and achieve amazing accomplishments.
Mapping, monitoring, and modeling land and water resources : advanced techniques using open source software
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The wide range of challenges in studying Earth system dynamics due to uncertainties in climate change and complex interference from human activities is creating difficulties in managing land and water resources and ensuring their sustainable use. Mapping, Monitoring, and Modeling Land and Water Resources brings together real-world case studies accurately surveyed and assessed through spatial modeling. The book focuses on the effectiveness of combining remote sensing, geographic information systems, and R. The use of open source software for different spatial modeling cases in various fields, along with the use of remote sensing and geographic information systems, will aid researchers, students, and practitioners to understand better the phenomena and the predictions by future analyses for problem-solving and decision-making.
Fundamentals of Capturing and Processing Drone Imagery and Data
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Unmanned aircraft systems (UAS) are rapidly emerging as flexible platforms for capturing imagery and other data across the sciences. Many colleges and universities are developing courses on UAS-based data acquisition. Fundamentals of Capturing and Processing Drone Imagery and Data is a comprehensive, introductory text on how to use unmanned aircraft systems for data capture and analysis. It provides best practices for planning data capture missions and hands-on learning modules geared toward UAS data collection, processing, and applications. FEATURES Lays out a step-by-step approach to identify relevant tools and methods for UAS data/image acquisition and processing. Provides practical hands-on knowledge with visual interpretation, well-organized and designed for a typical 16-week UAS course offered on college and university campuses. Suitable for all levels of readers and does not require prior knowledge of UAS, remote sensing, digital image processing, or geospatial analytics. Includes real-world environmental applications along with data interpretations and software used; exercises in chapters 8 through 19 have support materials for free download. Combines the expertise of a wide range of UAS researchers and practitioners across the geospatial sciences. This book provides a general introduction to drones along with a series of hands-on exercises that students and researchers can engage with to learn to integrate drone data into real-world applications. No prior background in remote sensing, GIS, or drone knowledge is needed to use this book. Readers will learn to process different types of UAS imagery for applications (such as precision agriculture, forestry, urban landscapes) and apply this knowledge in environmental monitoring and land-use studies.
Global Navigation Satellite System Monitoring of the Atmosphere
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Global Navigation Satellite System (GNSS) monitoring of the atmosphere is an interdisciplinary topic: a collaboration between geodetic and atmospheric communities. As such, this topic requires sufficient basic knowledge about both GNSS and the atmosphere. Global Navigation Satellite System Monitoring of the Atmosphere begins by introducing GNSS, its components, and signals. It then explains the basics of the atmosphere, starting from the ionosphere to the troposphere. The GNSS tropospheric monitoring is separated for application in numerical weather prediction and nowcasting. Further chapters focus on the application of GNSS for monitoring the climate as well as soil moisture. Finally, the book concludes by discussing GNSS processing along with introducing the latest developments and applications for using atmospheric data to provide precise real-time GNSS products. Explains the basics of GNSS positioning and signals Includes the state of the art in GNSS observations of the atmosphere and hydrosphere Presents the basics of numerical weather prediction and analysis
Spatial Computing
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Billions of people around the globe use various applications of spatial computing daily--by using a ride-sharing app, GPS, the e911 system, social media check-ins, even Pokémon Go. Scientists and researchers use spatial computing to track diseases, map the bottom of the oceans, chart the behavior of endangered species, and create election maps in real time. Drones and driverless cars use a variety of spatial computing technologies. Spatial computing works by understanding the physical world, knowing and communicating our relation to places in that world, and navigating through those places. It has changed our lives and infrastructures profoundly, marking a significant shift in how we make our way in the world. This volume in the MIT Essential Knowledge series explains the technologies and ideas behind spatial computing. The book offers accessible descriptions of GPS and location-based services, including the use of Wi-Fi, Bluetooth, and RFID for position determination out of satellite range; remote sensing, which uses satellite and aerial platforms to monitor such varied phenomena as global food production, the effects of climate change, and subsurface natural resources on other planets; geographic information systems (GIS), which store, analyze, and visualize spatial data; spatial databases, which store multiple forms of spatial data; and spatial statistics and spatial data science, used to analyze location-related data. remote sensing, which uses satellite and aerial platforms to monitor such varied phenomena as global food production, the effects of climate change, and subsurface natural resources on other planets; geographic information systems (GIS), which store, analyze, and visualize spatial data; spatial databases, which store multiple forms of spatial data; and spatial statistics and spatial data science, used to analyze location-related data.remote sensing, which uses satellite and aerial platforms to monitor such varied phenomena as global food production, the effects of climate change, and subsurface natural resources on other planets; geographic information systems (GIS), which store, analyze, and visualize spatial data; spatial databases, which store multiple forms of spatial data; and spatial statistics and spatial data science, used to analyze location-related data.remote sensing, which uses satellite and aerial platforms to monitor such varied phenomena as global food production, the effects of climate change, and subsurface natural resources on other planets; geographic information systems (GIS), which store, analyze, and visualize spatial data; spatial databases, which store multiple forms of spatial data; and spatial statistics and spatial data science, used to analyze location-related data.
Women and GIS. Vol. 2, Stars of spatial science
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Foreword by Jane Goodall Thirty inspiring stories of diverse women using geospatial technology to advance science and help resolve important issues facing the world. Like the first volume, Women and GIS, Volume 2: Stars of Spatial Science tells how 30 women in many different STEM fields applied themselves, overcame obstacles, and used maps, analysis, imagery, and geographic information systems (GIS) to contribute to their professions and the world. Sharing the experiences of their childhoods, the misstarts and challenges they faced, and the lessons they learned, each story is a celebration of a woman's unique life path and of the perseverance, dedication, and hard work it takes to achieve success. This book includes multicultural women at various points in their careers such as: Barbara Ryan -- Dedicated to open spatial data for everyone Cecille Blake -- Growing GIS capacity in Jamaica and for North and South American countries Rhiannan Price -- Advocating to make a difference for vulnerable populations Verónica Vélez -- Fighting for social and racial justice in education Tanya Harrison -- Bringing Mars to the masses From planetary scientists to civil engineers, entrepreneurs to urban planners, the strong, passionate women in Women and GIS, Volume 2: Stars of Spatial Science serve as guiding stars to motivate readers who are developing their own life stories and to inspire their potential to meaningful achievements.
Maps for time travelers : how archaeologists use technology to bring us closer to the past
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Popular culture is rife with movies, books, and television shows that address our collective curiosity about what the world was like long ago. From historical dramas to science fiction tales of time travel, audiences love stories that reimagine the world before our time. But what if there were a field that, through the advancements in technology, could bring us closer to the past than ever before? Written by a preeminent expert in geospatial archaeology, Maps for Time Travelers is a guide to how technology is revolutionizing the way archaeologists study and reconstruct humanity's distant past. From satellite imagery to 3D modeling, today archaeologists are answering questions about human history that could previously only be imagined. As archaeologists create a better and more complete picture of the past, they sometimes find that truth is stranger than fiction.
Unmanned aerial remote sensing : UAS for environmental applications
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Unmanned Aircraft Systems (UAS) are a rapidly evolving technology with an expanding array of diverse applications. In response to the continuing evolution of this technology, this book discusses unmanned aerial vehicles (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 modeling a wide variety of different environmental aspects, and at the same time addresses some of the current constraints placed on realizing the potential use of the technology such as s flight duration and distance, safety, and the invasion of privacy etc. Features of the book: 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 the environmental specialist Unmanned Aerial Remote Sensing: UAS for Environmental Applications is an excellent resource for any practitioner utilizing 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.
Deep Learning for Remote Sensing Images with Open Source Software
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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.
Introduction to spatial data analysis : remote sensing and GIS with open source software
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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
Learning to Understand Remote Sensing Images, Volume 1
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With the recent advances in remote sensing technologies for Earth observation, many different remote sensors are collecting data with distinctive properties. The obtained data are so large and complex that analyzing them manually becomes impractical or even impossible. Therefore, understanding remote sensing images effectively, in connection with physics, has been the primary concern of the remote sensing research community in recent years. For this purpose, machine learning is thought to be a promising technique because it can make the system learn to improve itself. With this distinctive characteristic, the algorithms will be more adaptive, automatic, and intelligent. This book introduces some of the most challenging issues of machine learning in the field of remote sensing, and the latest advanced technologies developed for different applications. It integrates with multi-source/multi-temporal/multi-scale data, and mainly focuses on learning to understand remote sensing images. Particularly, it presents many more effective techniques based on the popular concepts of deep learning and big data to reach new heights of data understanding. Through reporting recent advances in the machine learning approaches towards analyzing and understanding remote sensing images, this book can help readers become more familiar with knowledge frontier and foster an increased interest in this field.
Learning to Understand Remote Sensing Images, Volume 2.
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With the recent advances in remote sensing technologies for Earth observation, many different remote sensors are collecting data with distinctive properties. The obtained data are so large and complex that analyzing them manually becomes impractical or even impossible. Therefore, understanding remote sensing images effectively, in connection with physics, has been the primary concern of the remote sensing research community in recent years. For this purpose, machine learning is thought to be a promising technique because it can make the system learn to improve itself. With this distinctive characteristic, the algorithms will be more adaptive, automatic, and intelligent. This book introduces some of the most challenging issues of machine learning in the field of remote sensing, and the latest advanced technologies developed for different applications. It integrates with multi-source/multi-temporal/multi-scale data, and mainly focuses on learning to understand remote sensing images. Particularly, it presents many more effective techniques based on the popular concepts of deep learning and big data to reach new heights of data understanding. Through reporting recent advances in the machine learning approaches towards analyzing and understanding remote sensing images, this book can help readers become more familiar with knowledge frontier and foster an increased interest in this field.
LiDAR Technologies and Systems
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LiDAR is one of many active sensor technologies that uses electromagnetic radiation. Operating in the optical and infrared wavelengths, it is similar to more-familiar passive EO/IR sensor technology. It is also similar to radar in that it uses reflected electromagnetic radiation emitted by the sensor. LiDAR is commonly used for making high-resolution maps and has applications in geodesy, geomatics, archaeology, geography, geology, geomorphology, seismology, forestry, atmospheric physics, laser guidance, airborne laser swath mapping, and laser altimetry. It is also being used for control and navigation of some autonomous cars.
Unmanned Vehicle Systems for Geomatics : Towards Robotic Mapping.
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This book contributes to the transformative and revolutionary use of small, unmanned vehicle systems for three-dimensional geospatial data acquisition and mapping, which is considered to be a paradigm shift in the science and technology of geomatics. The book presents a systematic and comprehensive approach for the use of small mobile unmanned systems for robotic geomatics research and applications. Emphasis is placed on aerial unmanned mapping systems as aerial data collection provides better perspective and coverage of an area, and offers the ability for targeted coverage.
Google Earth Engine Applications
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In a rapidly changing world, there is an ever-increasing need to monitor the Earth's resources and manage it sustainably for future generations. Earth observation from satellites is critical to provide information required for informed and timely decision making in this regard. Satellite-based earth observation has advanced rapidly over the last 50 years, and there is a plethora of satellite sensors imaging the Earth at finer spatial and spectral resolutions as well as high temporal resolutions. The amount of data available for any single location on the Earth is now at the petabyte-scale. An ever-increasing capacity and computing power is needed to handle such large datasets. The Google Earth Engine (GEE) is a cloud-based computing platform that was established by Google to support such data processing. This facility allows for the storage, processing and analysis of spatial data using centralized high-power computing resources, allowing scientists, researchers, hobbyists and anyone else interested in such fields to mine this data and understand the changes occurring on the Earth's surface. This book presents research that applies the Google Earth Engine in mining, storing, retrieving and processing spatial data for a variety of applications that include vegetation monitoring, cropland mapping, ecosystem assessment, and gross primary productivity, among others. Datasets used range from coarse spatial resolution data, such as MODIS, to medium resolution datasets (Worldview -2), and the studies cover the entire globe at varying spatial and temporal scales.
Women and GIS : mapping their stories
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Twenty-three stories about how ordinary girls with very different passions have become extraordinary women and made significant contributions to our world Women look to other women as role models and for inspiration. Seeing confidence, leadership and accomplishments in other women helps a young woman envision herself with those qualities. Women and GIS: Mapping Their Stories tells the tales of how 23 women applied themselves and overcame obstacles, using maps, analysis, and geographic information systems (GIS) to contribute to their professions and the world. Sharing the experiences of their childhoods, the misstarts and challenges they faced, and the lessons they learned, each story is a celebration of a woman's unique path and of the perseverance and hard work it takes to achieve success. From oceanographers to activists, archaeologists to entrepreneurs, the women in Women and GIS: Mapping Their Stories can serve as mentors to motivate readers who are developing their own life stories and inspire their potential in a new way.
Assessing the accuracy of remotely sensed data : principles and practices
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The past 10 years have brought amazing changes to the technologies used to turn remotely sensed data into maps. As a result, the principles and practices necessary for assessing the accuracy of those maps have also evolved and matured. This third edition of Assessing the Accuracy of Remotely Sensed Data: Principles and Practices is thoroughly updated and includes five new chapters. Now 15 chapters long, this text is the only one of its kind to provide geospatial analysts with the requisite considerations, tools, and theory necessary to conduct successful and efficient map accuracy assessments; and map users with the knowledge to fully understand the assessment process to ensure effective use of maps. See What's New in the Third Edition: All original chapters have been updated to include new standards, practices, and methodologies. A new chapter on planning accuracy assessments. A new chapter on assessing maps created using object-based technologies. Two case study chapters - one showcasing the assessment of maps created from traditional methods, and one on the assessment of object-based maps. Emphasis on considering and planning for positional accuracy in concert with thematic accuracy. An appendix containing the internationally recognized ASPRS Positional Accuracy Standards. A new final chapter summarizing the key concepts, considerations and lessons learned by the authors in their decades of implementing and evaluating accuracy assessments. Assessing map accuracy is complex; however, the discussions in this book, together with the many figures, tables, and case studies, clearly present the necessary concepts and considerations for conducting an assessment that is both is practical, statistically reliable, and achievable.
Small-format aerial photography and UAS imagery : principles, techniques and geoscience applications
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Small Format Aerial Photography and UAS Imagery: Principles, Techniques and Geoscience Applications, Second Edition, provides basic and advanced principles and techniques for Small Format Aerial Photography (SFAP), focusing on manned and unmanned aerial systems, including drones, kites, blimps, powered paragliders, and fixed wing and copter SFAP. The authors focus on everything from digital image processing and interpretation of data, to travel and setup for the best result, making this a comprehensive guide for any user. Nine case studies in a variety of environments, including gullies, high altitudes, wetlands and recreational architecture are included to enhance learning. This new edition includes small unmanned aerial systems (UAS) and discusses changes in legal practices across the globe. In addition, the book presents the history of SFAP, providing background and context for new developments. Provides background and context for new developments in SFAP Covers the legal implications for small format aerial systems in different countries Discusses unmanned aerial systems (drones) and their applications Features new case studies for different applications, including vineyard monitoring and impacts of wind energy
Applications of small unmanned aircraft systems : best practices and case studies
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Advances in high spatial resolution mapping capabilities and the new rules established by the Federal Aviation Administration in the United States for the operation of Small Unmanned Aircraft Systems (sUAS) have provided new opportunities to acquire aerial data at a lower cost and more safely versus other methods. A similar opening of the skies for sUAS applications is being allowed in countries across the world. Also, sUAS can access hazardous or inaccessible areas during disaster events and provide rapid response when needed. Applications of Small Unmanned Aircraft systems: Best Practices and Case Studies is the first book that brings together the best practices of sUAS applied to a broad range of issues in high spatial resolution mapping projects. Very few sUAS pilots have the knowledge of how the collected imagery is processed into value added mapping products that have commercial and/or academic import. Since the field of sUAS applications is just a few years old, this book covers the need for a compendium of case studies to guide the planning, data collection, and most importantly data processing and map error issues, with the range of sensors available to the user community. Written by experienced academics and professionals, this book serves as a guide on how to formulate sUAS based projects, from choice of a sUAS, flight planning for a particular application, sensors and data acquisition, data processing software, mapping software and use of the high spatial resolution maps produced for particular types of geospatial modeling. Features: Focus on sUAS based data acquisition and processing into map products Broad range of case studies by highly experienced academics Practical guidance on sUAS hardware, sensors, and software utilized Compilation of workflow insights from expert professors and professionals Relevant to academia, government, and industry Positional and thematic map accuracy, UAS curriculum development and workflow replicability issues This book would be an excellent text for upper-level undergraduate to graduate level sUAS mapping application courses. It is also invaluable as a reference for educators designing sUAS based curriculum as well as for potential sUAS users to assess the scope of mapping projects that can be done with this technology.
Manual of Digital Earth
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This open access book offers a summary of the development of Digital Earth over the past twenty years. By reviewing the initial vision of Digital Earth, the evolution of that vision, the relevant key technologies, and the role of Digital Earth in helping people respond to global challenges, this publication reveals how and why Digital Earth is becoming vital for acquiring, processing, analysing and mining the rapidly growing volume of global data sets about the Earth. The main aspects of Digital Earth covered here include: Digital Earth platforms, remote sensing and navigation satellites, processing and visualizing geospatial information, geospatial information infrastructures, big data and cloud computing, transformation and zooming, artificial intelligence, Internet of Things, and social media. Moreover, the book covers in detail the multi-layered/multi-faceted roles of Digital Earth in response to sustainable development goals, climate changes, and mitigating disasters, the applications of Digital Earth (such as digital city and digital heritage), the citizen science in support of Digital Earth, the economic value of Digital Earth, and so on. This book also reviews the regional and national development of Digital Earth around the world, and discusses the role and effect of education and ethics. Lastly, it concludes with a summary of the challenges and forecasts the future trends of Digital Earth. By sharing case studies and a broad range of general and scientific insights into the science and technology of Digital Earth, this book offers an essential introduction for an ever-growing international audience.
SAR Image Interpretation for Various Land Covers: a Practical Guide
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This full color book is a comprehensive visual reference for the interpretation of synthetic aperture radar (SAR) images with examples of how technological specifications may affect interpretation solutions. It contains a summary review of image acquisition parameters of consequence on the visual representation of objects, introduces traditional interpretation keys under different light and applies them for considering regional landscape components and identifying large-scale geographical ensembles. Through elements of interpretation such as the construct of tone, texture, pattern, size, and shape, the book explains the rich unique context of many terrains. It provides also several SAR X- and C-band image examples of regional and large-scale land use and land cover (LULC) ensembles, includes important explanations for each illustration, and highlights selected SAR image applications. Ancillary information includes acquisition specifications, a geographic scale, and the image-center latitude and longitude. Features: Provides ready access to any type of information for an image interpretation problem related to current LULC classification schemes. Presents scalable geographic information interpreted at a regional scale and land cover ensembles that can also be interpreted locally. Provides comparative examples of images acquired from X- and C-band, opposed look directions, near- and far-range incidence angles, like- and cross-polarization modes. Includes practical explanations easily transferred to individual's research projects. Designed as "visual dictionary," SAR Image Interpretation for Various Land Covers: A Practical Guide, is an excellent introduction to the visual interpretation of SAR images for numerous types of LULC. Both practitioners and students will familiarize themselves with and expand their knowledge of geographic information conveyed from radar images while government agencies and businesses that use LULC-related data for emergency response cases of for urban and regional planning, will find this book invaluable.
Basic Principles of Topography
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This book gives a comprehensive overview of all relevant elements in topography and their practical application. It elaborates on the classical representation of terrain on maps such as cartographic projections, together with their classification, scale, and geographical elements. It is richly illustrated with photographs, maps and figures, in which the theoretical explanations are clarified. Readers will become acquainted with the physical characteristics of the ground, i.e. tectonic and erosive shapes, the importance and classification of terrain, genetic (fluvial, abrasive, glacial, karst) and topographic types such as higher (mountains, hills, peaks) and lower terrain (valleys, fields). In addition, the book discusses cartometry and coordinate systems, orientation in space (geographic, topographic, tactical) including by means of maps, instruments and the night sky and elaborates new techniques and technologies such as aerial photogrammetric imagery, global navigation satellite systems and LiDAR. The book also includes methods for the practical execution of concrete measurement operations, such as determining position and movement on land with maps, compass and azimuth which makes it especially useful for practitioners and professionals, e.g., for landscape planning, military exercises, mountaineering, nature walks etc. As such it offers a valuable guide not only for undergraduate students but also for researchers in the fields of geography, geosciences, geodesy, ecology, forestry and related areas looking for an overview on topography. Uniquely, the book also features an extensive glossary of topographical terms.
Topographic Laser Ranging and Scanning
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Topographic Laser Ranging and Scanning, Second Edition, provides a comprehensive discussion of topographic LiDAR principles, systems, data acquisition, and data processing techniques. This edition presents an introduction and summary of various LiDAR systems and their principles and addresses the operational principles of the different components and ranging methods of LiDAR systems. It discusses the subsequent geometric processing of LiDAR data, with particular attention to quality, accuracy, and meeting standards and addresses the theories and practices of information extraction from LiDAR data, including terrain surface generation, forest inventory, orthoimage generation, building reconstruction, and road extraction. Written by leaders in the field, this comprehensive compilation is a must-have reference book for senior undergraduate and graduate students majoring or working in diverse disciplines, such as geomatics, geodesy, natural resources, urban planning, computer vision, and computer graphics. It is also vital resource for researchers who are interested in developing new methods and need in-depth knowledge of laser scanning and data processing and other professionals may gain the same from the broad topics addressed in this book. New in the Second Edition: A comprehensive array of new laser ranging and scanning technologies. Developments in LiDAR data format and processing techniques. Regrouping of surface modeling, representations and reconstruction. Enhanced discussions on the principles and fundamentals beyond small-footprint pulsed laser systems and new application examples. Many new examples and illustrations.
High spatial resolution remote sensing : data, analysis, and applications
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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.
Image Processing and Data Analysis with ERDAS IMAGINE®
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Remotely sensed data, in the form of digital images captured from spaceborne and airborne platforms, provide a rich analytical and observational source of information about the current status, as well as changes occurring in, on, and around the Earth's surface. The data products, or simply images processed from these platforms, provide an additional advantage in that geographic areas or regions of interest can be revisited on a regular cycle. This revisit cycle allows geospatial analysts and natural resource managers to explore changing conditions over time. Image Processing and Data Analysis with ERDAS IMAGINE® explains the principles behind the processing of remotely sensed data in a simple, easy to understand, and "how-to" format. Organized as a step-by-step guide with exercises adapted from original research and using publicly available imagery, such as NASA Landsat, ESA Sentinel-2, Orthophotos, and others, this book gives readers the ability to quickly gain the practical experience needed to navigate the ERDAS IMAGINE® software as well as learn certain applications in Esri's ArcMap ArcGIS for Desktop software and Quantum the GIS (QGIS) open source applications package. It also helps readers to easily move beyond the information presented in this book and tackle more advanced skills. Written by two professors with long experience in remote sensing and image processing, this book is a useful guide and reference for both undergraduate and graduate students, researchers, instructors, managers, and agency professionals who are involved in the study of Earth systems and the environment.
Planetary Remote Sensing and Mapping
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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.
Integrating Scale in Remote Sensing and GIS
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Integrating Scale in Remote Sensing and GIS serves as the most comprehensive documentation of the scientific and methodological advances that have taken place in integrating scale and remote sensing data. This work addresses the invariants of scale, the ability to change scale, measures of the impact of scale, scale as a parameter in process models, and the implementation of multiscale approaches as methods and techniques for integrating multiple kinds of remote sensing data collected at varying spatial, temporal, and radiometric scales. Researchers, instructors, and students alike will benefit from a guide that has been pragmatically divided into four thematic groups: scale issues and multiple scaling; physical scale as applied to natural resources; urban scale; and human health/social scale. Teeming with insights that elucidate the significance of scale as a foundation for geographic analysis, this book is a vital resource to those seriously involved in the field of GIScience.
Surveying Instruments and Technology
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With the advent of GPS/GNSS satellite navigation systems and Unmanned Aerial Systems (UAS) surveying profession is nowadays facing its transformative stage. Written by a team of surveying experts, Surveyor's Instruments and Technology gives surveying students and practitioners profound understanding of how surveying instruments are designed and operating based on surveying instrument functionality. The book includes the required basic knowledge of accurate measurements of distances and angles from theoretical principles to advanced optical, mechanical, electronic and software components for comparative analysis. Readers are presented with basic elements of UAS systems, practical interpretation techniques, sensor components, and operating platforms. Appropriate for surveying courses at all levels, this guide helps students and practitioners alike to understand what is behind the buttons of surveying instruments of all kinds when considering practical project implementations.
The 3-D Global Spatial Data Model : Principles and Applications, Second Edition
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Traditional methods for handling spatial data are encumbered by the assumption of separate origins for horizontal and vertical measurements, but modern measurement systems operate in a 3-D spatial environment. The 3-D Global Spatial Data Model:Principles and Applications, Second Editionmaintains a new model for handling digital spatial data, the global spatial data model or GSDM. The GSDM preserves the integrity of three-dimensional spatial data while also providing additional benefits such as simpler equations, worldwide standardization, and the ability to track spatial data accuracy with greater specificity and convenience. This second edition expands to new topics that satisfy a growing need in the GIS, professional surveyor, machine control, and Big Data communities while continuing to embrace the earth center fixed coordinate system as the fundamental point of origin of one, two, and three-dimensional data sets. Ideal for both beginner and advanced levels, this book also provides guidance and insight on how to link to the data collected and stored in legacy systems.
The ArcGIS imagery book : new view, new vision
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Explore how imagery and remote sensing power modern GIS. With The ArcGIS Imagery Book, you will roll up your sleeves and quickly begin putting imagery to smarter, more skillful use with your GIS. Even armchair geographers will appreciate this book and its electronic companion www.thearcgisimagerybook.com for the wealth of gorgeous, inspiring, and occasionally troubling images and links to powerful web apps and maps that weave interesting stories about our planet and the issues we face. Appropriate for those very familiar with geographic information systems and those who have never heard of the term.
Instructional Guide for the ArcGIS Imagery Book
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This companion textbook to The ArcGIS Imagery Book: New View, New Vision (Esri Press, 2016) builds on the foundational concepts laid out in The ArcGIS Imagery Book. Whether you are a self-learner, currently teaching, or are planning to teach GIS, this guide provides the materials to develop and apply ArcGIS Imagery tools and concepts. Using The ArcGIS Imagery Book's structure as a starting point, each chapter provides students and teachers with activities, resources, lessons and data that reflect the interaction between components of ArcGIS Online, as well as GIS applications for publishing to the web and mobile devices. A combination of scenario driven and skill-based lessons (including many that don't require downloading any software), not only offer practice in the use of these tools but also inspire a deeper understanding of the potential and power of Web GIS. Includes downloadable instructor resources.
GIS Technology Applications in Environmental and Earth Sciences
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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.
LiDAR Remote Sensing and Applications
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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
Image Processing and GIS for Remote Sensing
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Following the successful publication of the 1st edition in 2009, the 2nd edition maintains its aim to provide an application-driven package of essential techniques in image processing and GIS, together with case studies for demonstration and guidance in remote sensing applications. The book therefore has a "3 in 1" structure which pinpoints the intersection between these three individual disciplines and successfully draws them together in a balanced and comprehensive manner. The book conveys in-depth knowledge of image processing and GIS techniques in an accessible and comprehensive manner, with clear explanations and conceptual illustrations used throughout to enhance student learning. The understanding of key concepts is always emphasised with minimal assumption of prior mathematical experience. The book is heavily based on the authors' own research. Many of the author-designed image processing techniques are popular around the world. For instance, the SFIM technique has long been adopted by ASTRIUM for mass-production of their standard "Pan-sharpen" imagery data. The new edition also includes a completely new chapter on subpixel technology and new case studies, based on their recent research.
Principles of Applied Remote Sensing
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This textbook is one of the first to explain the fundamentals and applications of remote sensing at both undergraduate and graduate levels. Topics include definitions and a brief history of payloads and platforms, data acquisition and specifications, image processing techniques, data integration and spatial modeling, and a range of applications covering terrestrial, atmospheric, oceanographic and planetary disciplines. The policy and law issues of remote sensing and the future trends on the horizon are also covered. Remote sensing is an exciting, dynamic technology that is transforming the Earth sciences - terrestrial, atmospheric, and marine - as well as the practices of agriculture, disaster response, engineering, natural resources, providing evidence in legal cases and documented humanitarian crises, and many other fields. Increasingly, understanding of these techniques will be central to a number of disciplines, particularly as the technology advances.
Understanding Earth Observation : The Electromagnetic Foundation of Remote Sensing
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This volume addresses the physical foundation of remote sensing. The basic grounds are presented in close association with the kinds of environmental targets to monitor and with the observing techniques. The book aims at plugging the quite large gap between the thorough and quantitative description of electromagnetic waves interacting with the Earth's environment and the user applications of Earth observation. It is intended for scientifically literate students and professionals who plan to gain a first understanding of remote sensing data and of their information content.
Earth Science Satellite Applications : Current and Future Prospects
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The combined observational power of the multiple earth observing satellites is currently not being harnessed holistically to produce more durable societal benefits. We are not able to take complete advantage of the prolific amount of scientific output and remote sensing data that are emerging rapidly from satellite missions and convert them quickly into decision-making products for users. The current application framework we have appears to be an analog one lacking the absorption bandwidth required to handle scientific research and the voluminous (petabyte-scale) satellite data. This book will tackle this question: "How do we change this course and take full advantage of satellite observational capability for a more sustainable, happier and safer future in the coming decades?"
Geoinformatics
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This book is an attempt to bring the different fields of Geoinformatics under one fold to help the novices in getting the subject matter at one place. The book includes Plane Surveying, Photogrammetry, Remote Sensing,Geographic Information System (GIS), and Global Positioning System (GPS). The subject matter emphasizes on the basic concepts and practices in use. The book has six sections as below:Section I introduces the Geoinformatics as a whole in the perspective of surveying as it has unlimited fields of applications. Section II provides basic concepts of errors in Plane Surveying, techniques of making linear and angular measurements for producing topographic maps of areas of moderate extents. Section III deals with Photogrammetry and technique of measurements on aerial photographs to produce topographic maps. Section IV is devoted to Remote Sensing, principle of this technique, and its application. It also presents various remote sensing missions launched, and the technique of image interpretation and digital image processing. Section V discusses the Geographic Information System (GIS) and its application, data models used in GIS, and how various spatial entities are related to each other in GIS environment through topology. Section VI is on Global Positioning System (GPS) which now finds its use in our day-today life. It is a technology for gathering (x, y, z) coordinates of points anywhere on the globe at any time making use of artificial satellites devoted to GPS. This section explains principle of working of GPS and its use in surveying.
Digital Photogrammetry : A Practical Course
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The fourth edition is again an "all-in-one" combination of basic theory and practical exercises with software and data available from the Springer server. Potential readers / users are students of Photogrammetry, Geodesy, Geography and other sciences, but also all who are interested in this topic. No prior knowledge is necessary, except the handling of standard PCs. Theory is presented true to the motto "as little as possible, but as much as necessary". The main part of the book contains several tutorials. In increasing complexity, accompanied by texts explaining further theory, the reader can proceed step by step through the particular working parts. All intermediate as well as the final results are discussed with reference to accuracy and error handling, and included in the data sets to provide controls. Most of the standard work in Digital Photogrammetry is shown and trained, for example scanning, image orientation, stereo plotting, aerial triangulation measurement (manual and automatic), block adjustment, automatic creation of surface models via image matching, creation of ortho images and mosaics, and others. Examples of both aerial and close-range photogrammetry present the power of this kind of measurement techniques. 3-D images can be viewed with the accompanying 3-D glasses. During the time since the last edition, the software development went on, and therefore it was necessary to adopt the text to the actual program versions which were also tested to work properly under MS Windows 10. Few options which are obsolete nowadays were removed, some new options were added, the handling of the software was simplified in several places, and so on. For the use of own images taken with a custom digital camera, a new chapter offers an easy way of lens calibration and explains how to get good results with a minimum of work. The software is not limited to the example data included but may be used for personal projects. Part of the book comprises a complete description of the software.
Practical Handbook of Remote Sensing
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A Beginner's Guide to the World of Satellite DataOver a thousand active satellites are in orbit around the Earth with applications including navigation, the transmission of data and satellite remote sensing; a space-based technology providing data accessible to everyone. The Practical Handbook of Remote Sensing offers a complete understanding of th
Open Source Geospatial Tools : Applications in Earth Observation
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This book focuses on the use of open source software for geospatial analysis. It demonstrates the effectiveness of the command line interface for handling both vector, raster and 3D geospatial data. Appropriate open-source tools for data processing are clearly explained and discusses how they can be used to solve everyday tasks. A series of fully worked case studies are presented including vector spatial analysis, remote sensing data analysis, landcover classification and LiDAR processing. A hands-on introduction to the application programming interface (API) of GDAL/OGR in Python/C++ is provided for readers who want to extend existing tools and/or develop their own software.
Landsat and beyond : sustaining and enhancing the nation's land imaging program
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In 1972 NASA launched the Earth Resources Technology Satellite (ETRS), now known as Landsat 1, and on February 11, 2013 launched Landsat 8. Currently the United States has collected 40 continuous years of satellite records of land remote sensing data from satellites similar to these. Even though this data is valuable to improving many different aspects of the country such as agriculture, homeland security, and disaster mitigation; the availability of this data for planning our nation\'s future is at risk. Thus, the Department of the Interior\'s (DOI\'s) U.S. Geological Survey (USGS) requested that the National Research Council\'s (NRC\'s) Committee on Implementation of a Sustained Land Imaging Program review the needs and opportunities necessary for the development of a national space-based operational land imaging capability. The committee was specifically tasked with several objectives including identifying stakeholders and their data needs and providing recommendations to facilitate the transition from NASA\'s research-based series of satellites to a sustained USGS land imaging program. Landsat and Beyond: Sustaining and Enhancing the Nation's Land Imaging Program is the result of the committee\'s investigation. This investigation included meetings with stakeholders such as the DOI, NASA, NOAA, and commercial data providers. The report includes the committee\'s recommendations, information about different aspects of the program, and a section dedicated to future opportunities.
Elements of Photogrammetry with Application in GIS
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Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality,authenticity, or access to any online entitlements included with the product. The definitive guide to photogrammetry--fully updated Thoroughly revised to cover the latest technological advances in the field, Elements of Photogrammetry with Applications in GIS, Fourth Edition, provides complete details on the foundational principles of photogrammetry as well as important advanced concepts. Significant changes in the instruments and procedures used in modern photogrammetry, including laser scanning, are discussed. Example problems clarify computational procedures and extensive photographs and diagrams illustrate the material presented in this comprehensive resource. Coverage includes: Principles of photography and imaging Cameras and other imaging devices Image measurements and refinements Object space coordinate systems Vertical photographs Stereoscopic viewing Stereoscopic parallax Stereoscopic plotting instruments Laser scanning systems Elementary methods of planimetric mapping for GIS Titled and oblique photographs Introduction to analytical photogrammetry Topographic mapping and spatial data collection Fundamental principles of digital image processing Photogrammetric applications in GIS Control for aerial photogrammetry Aerotriangulation Project planning Terrestrial and close-range photogrammetry
Remote Sensing Imagery
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Dedicated to remote sensing images, from their acquisition to their use in various applications, this book covers the global lifecycle of images, including sensors and acquisition systems, applications such as movement monitoring or data assimilation, and image and data processing. It is organized in three main parts. The first part presents technological information about remote sensing (choice of satellite orbit and sensors) and elements of physics related to sensing (optics and microwave propagation). The second part presents image processing algorithms and their specificities for radar or optical, multi and hyper-spectral images. The final part is devoted to applications: change detection and analysis of time series, elevation measurement, displacement measurement and data assimilation. Offering a comprehensive survey of the domain of remote sensing imagery with a multi-disciplinary approach, this book is suitable for graduate students and engineers, with backgrounds either in computer science and applied math (signal and image processing) or geo-physics. About the Authors Florence Tupin is Professor at Telecom ParisTech, France. Her research interests include remote sensing imagery, image analysis and interpretation, three-dimensional reconstruction, and synthetic aperture radar, especially for urban remote sensing applications. Jordi Inglada works at the Centre National d'Études Spatiales (French Space Agency), Toulouse, France, in the field of remote sensing image processing at the CESBIO laboratory. He is in charge of the development of image processing algorithms for the operational exploitation of Earth observation images, mainly in the field of multi-temporal image analysis for land use and cover change. Jean-Marie Nicolas is Professor at Telecom ParisTech in the Signal and Imaging department. His research interests include the modeling and processing of synthetic aperture radar images.
Remote sensing in action : the curious case of Sherlock Holmes and Albert Einstein
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This title questions a basic assumption of the scientific method - that new theories or experimental results are communicated effectively by traditional methods (e.g., presentations at professional meetings or publication in a journal) - and suggests that the scientific method needs to be applied to the scientific method itself to find out if other styles of communication might work better. In an entertaining format, the book uses the fictional characters created by Sir Arthur Conan Doyle to unravel and explain the historical underpinnings of remote sensing.
Remote Sensing for Geoscientists: Image Analysis and Integration
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This third edition of the bestselling "Remote Sensing for Geologists: A Guide to Image Interpretation "is now titled Remote Sensing for Geoscientists: Image Analysis and Integration. The title change reflects that this edition applies to a broad spectrum of geosciences, not just geology; stresses that remote sensing has become more than photointerpretation; and emphasizes integration of multiple remote sensing technologies to solve Earth science problems. The text reviews systems and applications, explains what to look for when analyzing imagery, and provides abundant case histories to illustrate the integration and application of these tools. See What s New in the Second Edition: Broader coverage to include integration of multiple remote sensing technologies Expanded with significant new illustrations in color and reviews of new satellites and sensors Analysis of imagery for geobotanical remote sensing, remote geochemistry, modern analogs to ancient environments, and astrogeology The book covers how to initiate a project, including determining the objective, choosingthe right tools, and selecting imagery. It describes techniques used in geologic mapping and mineral and hydrocarbon exploration, image analysis used in mine development and petroleum exploitation, site evaluation, groundwaterdevelopment, surface water monitoring, geothermal resource exploitation, and logistics. It also demonstrates how imageryis used to establish environmental baselines; monitor land, air, and water quality; maphazards; and determine the effects of global warming. The many examples of geologic mapping on other planets and the moon highlight how to analyze planetary surface processes, map stratigraphy, and locate resources. The book then examines remote sensing and the public, geographic information systems and Google Earth, and how imagery is used by the media, in the legal system, in public relations, and by individuals. Readers should come away with a good understanding of what is involved in image analysis and interpretation and should be ableto recognize and identify geologic features of interest. Having read this book, they should be able to effectively use imagery in petroleum, mining, groundwater, surface water, engineering, and environmental projects."
Sky Alert! : When Satellites Fail
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"Sky Alert! What Happens When Satellites Fail" explores for the first time what our modern world would be like if we were suddenly to lose most, if not all, of our space assets. The author demonstrates humankind's dependence on space satellites and show what might happen to various aspects of our economy, defense, and daily lives if they were suddenly destroyed. The book opens with a consideration of how our space assets might be lost in the first place: through orbital debris, war, and solar storms. The author then looks at what would happen if our satellites were lost, including the effect on weather forecasting, and the Global Positioning System, explaining GPS in detail and its importance to the military, including spy satellites and military reconnaissance, commerce, civilians, communications and remote sensing - both resource monitoring and locating and environmental monitoring and science. The effects of losing such assets as the International Space Station as well as such research satellites as the Hubble Space Telescope or the Chandra X-Ray Observatory are also considered. Part III of the book looks at how we can protect our satellites, preparing for the worst, reducing the growth and amount of orbital debris, preventing acts of war in space and hardening against space radiation. The book ends on an optimistic note: most spacefaring nations are now working together to develop new technologies to reduce the threat posed by orbital debris and in-space nuclear detonations and treaties exist to limit the development and use of weapons in space. Finally, it is hoped that it will not be long before we will be able to better predict and take precautions against solar storms. The global economy has now become so dependent upon satellites that their loss would be devastating - to the economy, to national security, and potentially, to the day-to-day survival of those who live in the world's most advanced economies.
Research Methods in Remote Sensing
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This book introduces the overall concepts of research methods in Remote Sensing. It also addresses the entire research framework, ranging from ontology to documentation. As such, it covers the theory while providing a solid basis for engaging in concrete research activities. It is not intended as a textbook on remote sensing; rather, it offers guidance to those conducting research by examining philosophical and other issues that are generally not covered by textbooks. Various stages of research are discussed in detail, including illustrative discussions and helpful references. The topics considered in this book cover a part of the research methodologies explored in Master of Philosophy (M.Phil.) and Doctor of Philosophy (Ph.D.) programs. The book's physical format has been kept to a compact, handy minimum in order to maximize its accessibility and readability for a broad range of researchers in the field of remote sensing.
Satellite imagery : from acquisition principles to processing of optical images for observing the Earth
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This book was written for students and engineers wishing to understand the basic principles behind the acquisition of optical imagery for Earth observation and the ways in which the quality of the images can be optimised.
Intended both for designers and downstream users, the book begins with a detailed explanation of the physical principles involved when a satellite acquires an optical image and then goes on to discuss image processing and its limits as well as the ultimate performance obtained.
It also covers in depth the problems to be solved when designing and dimensioning observation systems so that the reader can become familiar with the various processes implemented for acquiring an optical image.
The book describes a very wide range of subjects from fundamental physics (radiation, electronics, optics) to applied mathematics (frequency analysis), geometry and technological issues.
It draws on work done over many years by engineers from CNES (the French Space Agency), the IGN (the French National Geographic Institute) and ONERA (the French Aerospace Laboratory) in the field of satellite optical imagery.
An Introduction to Contemporary Remote Sensing
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A PRACTICAL, FULL-COLOR GUIDE TO REMOTE SENSING Written by an internationally renowned expert in the field, An Introduction to Contemporary Remote Sensing introduces the latest developments in remote sensing and imaging science. This book covers basic principles and discusses essential technologies, such as aerial photography, radar, Lidar (light detection and ranging), photogrammetry, satellites, thermal radiation, and much more. Full-color images illustrate the concepts presented, and review questions at the end of each chapter help reinforce learning. This detailed resource provides the solid foundation in remote sensing required for developing diverse geospatial applications. Coverage includes: Geographic information system (GIS) Global positioning system (GPS), mobile mapping, and Google Earth Electromagnetic radiation principles Characteristics of remotely sensed data Spatial, spectral, radiometric, and temporal resolution Aerial photo interpretation Photogrammetry Remote sensors Earth observation satellites Digital image analysis Thermal remote sensing Active remote sensing
Remote sensing of land use and land cover : principles and applications
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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.
Remote Sensing Digital Image Analysis : An Introduction
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Remote Sensing Digital Image Analysis provides the non-specialist with an introduction to quantitative evaluation of satellite and aircraft derived remotely retrieved data. Since the first edition of the book there have been significant developments in the algorithms used for the processing and analysis of remote sensing imagery; nevertheless many of the fundamentals have substantially remained the same. This new edition presents material that has retained value since those early days, along with new techniques that can be incorporated into an operational framework for the analysis of remote sensing data. The book is designed as a teaching text for the senior undergraduate and postgraduate student, and as a fundamental treatment for those engaged in research using digital image processing in remote sensing. The presentation level is for the mathematical non-specialist. Since the very great number of operational users of remote sensing come from the earth sciences communities, the text is pitched at a level commensurate with their background. Each chapter covers the pros and cons of digital remotely sensed data, without detailed mathematical treatment of computer based algorithms, but in a manner conductive to an understanding of their capabilities and limitations. Problems conclude each chapter.
Foliage penetration radar : detection and characterization of objects under trees
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This book covers all aspects of foliage penetration (FOPEN) radar, concentrating on both airborne military radar systems as well as earth resource mapping radars. It is the first concise and thorough treatment of FOPEN, covering the results of a decade-long investment by DARPA in characterizing foliage and earth surface with ultrawideband UHF and VHF synthetic aperture radar (SAR). Comparisons of the technologies for radar design and signal processing are presented, as are specific design approaches for transmitter design for operation in a dense radio frequency spectrum. Adaptive processing to remove the effects of radio and television signals from the system are also covered. In 10 years, FOPEN systems will find use in crop monitoring, land mine remediation, and creating digital maps under trees. This book will be the foundation for continued research for years to come both for radar and systems engineers in defense and earth resources companies. Government researchers, program managers and planners who have an interest in the unique capabilities of this radar technology, as well as university staff and faculty teaching radar and signal processing will find this book a critical part of their learning for years to come.
Computer processing of remotely-sensed images : an introduction
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This fourth and full colour edition updates and expands a widely-used textbook aimed at advanced undergraduate and postgraduate students taking courses in remote sensing and GIS in Geography, Geology and Earth/Environmental Science departments. Existing material has been brought up to date and new material has been added. In particular, a new chapter, exploring the two-way links between remote sensing and environmental GIS, has been added. New and updated material includes: A website at www.wiley.com/go/mather4 that provides access to an updated and expanded version of the MIPS image processing software for Microsoft Windows, PowerPoint slideshows of the figures from each chapter, and case studies, including full data sets, Includes new chapter on Remote Sensing and Environmental GIS that provides insights into the ways in which remotely-sensed data can be used synergistically with other spatial data sets, including hydrogeological and archaeological applications, New section on image processing from a computer science perspective presented in a non-technical way, including some remarks on statistics, New material on image transforms, including the analysis of temporal change and data fusion techniques, New material on image classification including decision trees, support vector machines and independent components analysis, and Now in full colour throughout. This book provides the material required for a single semester course in Environmental Remote Sensing plus additional, more advanced, reading for students specialising in some aspect of the subject. It is written largely in non-technical language yet it provides insights into more advanced topics that some may consider too difficult for a non-mathematician to understand. The case studies available from the website are fully-documented research projects complete with original data sets. For readers who do not have access to commercial image processing software, MIPS provides a licence-free, intuitive and comprehensive alternative.
Geoinformatics in Applied Geomorphology
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With recent innovations in the arena of remote sensing and geographic information systems, the use of geoinformatics in applied geomorphology is receiving more attention than ever. Geoinformatics in Applied Geomorphology examines how modern concepts, technologies, and methods in geoinformatics can be used to solve a wide variety of applied geomorph
Imagery: GIS Best Practices
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The availability and resolution of remotely sensed imagery from earth-orbiting satellites and airborne, hydrographic, and terrestrial sensors have grown dramatically. While this data is potentially valuable to many different types of organizations, they must fi nd a way to manage it while addressing problems related to data latency, accuracy, and format interoperability.GIS provides a standards-based framework to manage data and mitigate these issues. With GIS, you canIntegrate disparate data sources and manage large raster catalogs to provide enterprise accessibility.Promote interoperability.Perform dynamic server-side image processing from native data sources to minimize data latency.
Remote Sensing Tools for Exploration : Observing and Interpreting the Electromagnetic Spectrum
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Remote Sensing from a New Perspective The idea for this book began many years ago, when I was asked to teach a course on remote sensing. Not long before that time, I had been part of the effort to develop the first database for planetary data with a common digital array format and interactive processing capabilities to correlate those data easily: the lunar consortium. All the available lunar remote sensing data were included, orbital and ground-based, ranging across the entire electromagnetic spectrum. I had used this powerful tool extensively, and, in that spirit, I was determined to create a course which covered the entire spectrum and a variety of targets. As I looked around for the equivalent of a textbook, which I was willing to pull together from several sources, I realized that available material was very heavily focused on the visual and near visual spectrum and on the Earth as a target. Even The Surveillant Science, edited by Edward Holz and published in 1973, which broke new ground in having diverse articles on most of the spectrum when it was created, focused entirely on the Earth. My personal favorite, the exceedingly well written book on remote sensing by Floyd Sabins first published in 1978, covered the visual, infrared, and microwave portions of the spectrum beautifully but focused on the Earth as well. Unhindered, I developed what I called 'packets' of material for each part of the spectrum.
Geospatial Technology for Earth Observation
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Earth Observation interacts with space, remote sensing, communication, and information technologies, and plays an increasingly significant role in Earth related scientific studies, resource management, homeland security, topographic mapping, and development of a healthy, sustainable environment and community. Geospatial Technology for Earth Observation provides an in-depth and broad collection of recent progress in Earth observation. Contributed by leading experts in this field, the book covers satellite, airborne and ground remote sensing systems and system integration, sensor orientation, remote sensing physics, image classification and analysis, information extraction, geospatial service, and various application topics, including cadastral mapping, land use change evaluation, water environment monitoring, flood mapping, and decision making support. Geospatial Technology for Earth Observation serves as a valuable training source for researchers, developers, and practitioners in geospatial science and technology industry. It is also suitable as a reference book for upper level college students and graduate students in geospatial technology, geosciences, resource management, and informatics.
Basics of Geomatics
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Geomatics is a neologism, the use of which is becoming increasingly widespread, even if it is not still universally accepted. It includes several disciplines and te- niques for the study of the Earth's surface and its environments, and computer science plays a decisive role. A more meaningful and appropriate expression is G- spatial Information or GeoInformation. Geo-spatial Information embeds topography in its more modern forms (measurements with electronic instrumentation, sophisticated techniques of data analysis and network compensation, global satellite positioning techniques, laser scanning, etc.), analytical and digital photogrammetry, satellite and airborne remote sensing, numerical cartography, geographical information systems, decision support systems, WebGIS, etc. These specialized elds are intimately interrelated in terms of both the basic science and the results pursued: rigid separation does not allow us to discover several common aspects and the fundamental importance assumed in a search for solutions in the complex survey context. The objective pursued by Mario A. Gomarasca, one that is only apparently modest, is to publish an integrated text on the surveying theme, containing simple and comprehensible concepts relevant to experts in Geo-spatial Information and/or speci cally in one of the disciplines that compose it. At the same time, the book is rigorous and synthetic, describing with precision the main instruments and methods connected to the multiple techniques available today.
Manual of aerial survey : primary data acquisition
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The first step in mapping, GIS, and remote sensing is data acquisition. A multidisciplinary effort, data acquisition involves aviation, navigation, photography, both film and digital cameras, GPS systems, ground control, photogrammetry, and computerized systems. Above all else, successful data acquisition requires a full working knowledge of modern techniques and technologies. Manual of Aerial Survey: Primary Data Acquisition is the second edition of what has become the definitive reference for aerial surveying. Eminently practical and authored by professionals with more than 90 years of combined experience in the field, this text covers all the essentials of aerial photography, with particular emphasis on the survey aspects of the subject. Using a fresh approach and a minimum of mathematics, the authors take you from basic camera requirements, film types, and processing, to step by step guidelines for mission planning and operational procedures. Their topics include differential GPS systems, survey flight management systems, modern film survey cameras, digital cameras, and laser profilers. Other leading-edge topics include laser profilers, airborne laser mapping, satellite systems, and soft-copy photogrammetry using desktop computer systems, film scanners, and digital camera inputs. Military reconnaissance, aerial archaeology, remote sensing, surveillance, and a myriad of commercial and industrial applications all depend on aerial data acquisition. Designed to give fast answers to questions on aerial photography, Manual of Aerial Survey offers an expert, efficient introduction to the field and brings you quickly up to date on equipment and techniques.
