Geographical information systems Books

Book SynopsisA balanced review of differing approaches based on remote sensing tools and methods to assess and monitor biodiversity, carbon and water cycles, and the energy balance of terrestrial ecosystem. Earth Observation of Ecosystem Services highlights the advantages Earth observation technologies offer for quantifying and monitoring multiple ecosystem functions and services. It provides a multidisciplinary reference that expressly covers the use of remote sensing for quantifying and monitoring multiple ecosystem services. Rather than exhaustively cover all possible ecosystem services, this book takes a global look at the most relevant remote sensing approaches to estimate key ecosystem services from satellite data. Structured in four main sections, it covers carbon cycle, biodiversity, water cycle, and energy balance. Each section contains a review of conceptual and empirical methods, techniques, and case studies linking remotely sensed data to the biophysical variables and eTrade Review"… a valuable compendium of information… should serve as an impetus driving greater awareness of remote sensing technologies and their adoption in ecosystem service assessments."—African Journal of Range & Forage Science 2015, 32(1)"Monitoring and mapping ecosystem services is critical to their effective management. This book covers the latest remote sensing techniques for doing that. A must read for anyone concerned with ecosystem services."—Robert Costanza, The Australian National University"… a broad and valuable introduction to the use of remotely sensed data sets in assessing and monitoring key ecosystem services. … relevant to students and researchers interested in using earth observations in advancing their methods of inquiry. The subject matter is impressive, ranging from the carbon cycle to urban heat island effects. As humankind brings increasingly greater pressure to bear on natural systems, an improved understanding of their function in the context of change is critical. … an important contribution in explaining the utility of remotely sensed data in meeting this challenge."—Matthew C. Hansen, University of Maryland"… synthesizes the state of the art of how remote sensing can contribute to get the pulse of the planet, specifically on how our ecosystems are changing and what key benefits they provide to societies. … Timely, systematic, reliable, and easily accessible information on the flow of services to society from ecosystems is urgently needed: this book contributes one great leap forward. A massive effort from all nations will be needed to achieve full implementation of the suggested approach."—Patricia Balvanera, Centro de Investigaciones en Ecosistemas, Universidad Nacional Autónoma de México"… offers a great overview of how earth observation systems are being used, can be used in the near future and what the caveats and pitfalls are at present. … It is one of the objectives of GEO BON to provide this overview and develop capacity building programmes for the whole community. This book is a good step into that direction."—Rob H.G. Jongman, Alterra, Wageningen UR, Steering Committee GEO BON"… a valuable compendium of information… should serve as an impetus driving greater awareness of remote sensing technologies and their adoption in ecosystem service assessments."—African Journal of Range & Forage Science 2015, 32(1)"Monitoring and mapping ecosystem services is critical to their effective management. This book covers the latest remote sensing techniques for doing that. A must read for anyone concerned with ecosystem services."—Robert Costanza, The Australian National University"… a broad and valuable introduction to the use of remotely sensed data sets in assessing and monitoring key ecosystem services. … relevant to students and researchers interested in using earth observations in advancing their methods of inquiry. The subject matter is impressive, ranging from the carbon cycle to urban heat island effects. As humankind brings increasingly greater pressure to bear on natural systems, an improved understanding of their function in the context of change is critical. … an important contribution in explaining the utility of remotely sensed data in meeting this challenge."—Matthew C. Hansen, University of Maryland"… synthesizes the state of the art of how remote sensing can contribute to get the pulse of the planet, specifically on how our ecosystems are changing and what key benefits they provide to societies. … Timely, systematic, reliable, and easily accessible information on the flow of services to society from ecosystems is urgently needed: this book contributes one great leap forward. A massive effort from all nations will be needed to achieve full implementation of the suggested approach."—Patricia Balvanera, Centro de Investigaciones en Ecosistemas, Universidad Nacional Autónoma de México"… offers a great overview of how earth observation systems are being used, can be used in the near future and what the caveats and pitfalls are at present. … It is one of the objectives of GEO BON to provide this overview and develop capacity building programmes for the whole community. This book is a good step into that direction."—Rob H.G. Jongman, Alterra, Wageningen UR, Steering Committee GEO BONTable of ContentsIntroduction. Ecosystem Services Related to Biodiversity Conservation. Ecosystem Services Related to the Carbon Cycle. Ecosystem Services Related to the Water Cycle. Ecosystem Services Related to the Land-Surface Energy Balance. Challenges and Conclusions.

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Book SynopsisOutdoor wayfinding and navigation systems and services have become indispensable in people''s mobility in unfamiliar environments. Advances in key technologies (e.g., positioning and mobile devices), has spurred interest in research and development of indoor wayfinding and navigation systems and services in recent years. Indoor Wayfinding and Navigation provides both breadth and depth of knowledge in designing and building indoor wayfinding and navigation systems and services. It covers the types of sensors both feasible and practical for localization of users inside buildings.The book discusses current approaches, techniques, and technologies for addressing issues in indoor wayfinding and navigation systems and services. It includes coverage of the cognitive, positioning, mapping, and application perspectives, an unusual but useful combination of information. This mix of different perspectives helps you better understand the issues and challenges of building indoor waTrade Review"This book is a timely addition to the resources available to researchers and practitioners in the area. This edited collection of 11 chapters, written by area experts, explores different facets of the indoor wayfinding and navigation problem, such as cognitive factors, positioning and mapping, applications of these technologies, and privacy of individuals. This book is relevant for researchers, students, and practitioners in the area. Each chapter ends with related references, which will help readers dig deeper into the subject."—Satyajayant Misra, IEEE Wireless Communications, December 2015Table of ContentsA-GPS Positioning. WiFi Positioning. RFID. Integrated sensors. Map Data Content and Sources. Routing and Directions. Architectures. Indoor Wayfinding and Navigation on Smartphones. Indoor Wayfinding and Navigation for Blind and Visually Impaired Users. Indoor Wayfinding and Navigation for Wheelchair Users. Navigation Assistance Through Social Media.

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Book SynopsisEnvironmental remote sensing plays a critical role in observing key hydrological components such as precipitation, soil moisture, evapotranspiration and total water storage on a global scale. As water security is one of the most critical issues in the world, satellite remote sensing techniques are of particular importance for emerging regions which have inadequate in-situ gauge observations. This book reviews multiple remote sensing observations, the application of remote sensing in hydrological modeling, data assimilation and hydrological capacity building in emerging regions.Trade Review"I teach Remote Sensing for Hydrology for graduate students and Ph.D. students. This book will be a perfect text book and reference book for the course. I believe this book will be a valuable textbook or reference book for senior undergraduates or graduate students with emphasis, interest, or major in remote sensing and/or hydrology." — Hongjie Xie, University of Texas at San Antonio, USATable of ContentsSatellite Remote Sensing Observations. Satellite Remote Sensing for Global Precipitation Monitoring. Diurnal Variability of Precipitation in West Africa Monsoon Region. ET Mapping Utilizing Remote Sensing Data. Soil Moisture Estimation Using Active and Passive Remote Sensing Techniques. Remote Sensing Streamflow Estimation via AMSR-E and TMI. Remote Sensing for Surface and Ground Water Observation. Total Water Storage Observed by GRACE. Modeling and Data Assimilation. The Coupled Routing and Excess Storage (CREST) Distributed Hydrological Mode. AMMAS Land Surface Model Intercomparison over West Africa. Multi-Sensor Imaging and Space-Ground Cross-Validation for 2010 Flood along Indus River, Pakistan. Hydroclimatology of Lake Victoria Region Using Hydrologic Model and Satellite Remote Sensing Data. Microwave Satellite Data for Hydrologic Modeling in an Ungauged Basin in Africa. Assimilating the Passive Microwave Streamflow Signals for Improving the Hydrological Predictions in Okavango River Basin, Africa. Statistical and Hydrologic Evaluation of Satellite Precipitation Products for Mountainous Basin. Capacity Building. Real Time Operation Hydrological Monitoring and Forecasting System for Local Decision Makers. Satellite Remote Sensing Drought Monitoring and Predictions Over the Globe. Capacity Building Efforts in Hydrological Modeling for Africa - Workshops about CREST Mode. Capacity Building for Pakistan Hydrometeorologic Hazards. Cloud-Based Cyber-Infrastructure for Disaster Monitoring sand Mitigation Mobile Device Apps for Empowering Citizen Scientists.

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Book SynopsisFuture remote sensing systems will make extensive use of Compressive Sensing (CS) as it becomes more integrated into the system design with increased high resolution sensor developments and the rising earth observation data generated each year. Written by leading experts in the field Compressive Sensing of Earth Observations provides a comprehensive and balanced coverage of the theory and applications of CS in all aspects of earth observations. This work covers a myriad of practical aspects such as the use of CS in detection of human vital signs in a cluttered environment and the corresponding modeling of rib-cage breathing. Readers are also presented with three different applications of CS to the ISAR imaging problem, which includes image reconstruction from compressed data, resolution enhancement, and image reconstruction from incomplete data. Table of ContentsPreface. Editor. Contributors. 1 Compressed Sensing: From Theory to Praxis. 2 Compressive Sensing on the Sphere: Slepian Functions for Applications in Geophysics. 3 Compressive Sensing–Based High Resolution Imaging and Tracking of Targets and Human Vital Sign Detection behind Walls. 4 Recovery Guarantees for High Resolution Radar Sensing with Compressive Illumination. 5 Compressive Sensing for Inverse Synthetic Aperture Radar Imaging. 6 A Novel Compressed Sensing–Based Algorithm for Space–Time Signal Processing Using Airborne Radars. 7 Bayesian Sparse Estimation of Radar Targets in the Compressed Sensing Framework. 8 Virtual Experiments and Compressive Sensing for Subsurface Microwave Tomography. 9 Seismic Source Monitoring with Compressed Sensing. 10 Seismic Data Regularization and Imaging Based on Compressive Sensing and Sparse Optimization. 11 Land Use Classification with Sparse Models. 12 Compressive Sensing for Reconstruction, Classification, and Detection of Hyperspectral Images. 13 Structured Abundance Matrix Estimation for Land Cover Hyperspectral Image Unmixing. 14 Parallel Coded Aperture Method for Hyperspectral Compressive Sensing on GPU. 15 Algorithms and Prototyping of a Compressive Hyperspectral Imager. Index.

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Book SynopsisAuthoritative and comprehensive, this is the leading text and professional resource on using geographic information systems (GIS) to analyze and address public health problems. Basic GIS concepts and tools are explained, including ways to access and manage spatial databases. The book presents state-of-the-art methods for mapping and analyzing data on population, health events, risk factors, and health services, and for incorporating geographical knowledge into planning and policy. Numerous maps, diagrams, and real-world applications are featured. The companion Web page provides lab exercises with data that can be downloaded for individual or course use. New to This Edition *Incorporates major technological advances, such as Internet-based mapping systems and the rise of data from cell phones and other GPS-enabled devices. *Chapter on health disparities. *Expanded coverage of public participation GIS. *Companion Web page has all-new content. *Goes beyond the United States to encompass an international focus.Trade ReviewCromley and McLafferty have done it again! They’ve written the most comprehensive text available on GIS applications for public health. The last several years have seen rapid growth in public health applications of GIS, technological developments in mapping and imagery, and the availability of public health data, all of which are addressed in the book. Other updates in the second edition include reorganization of material, international applications, and a chapter on health disparities. The authors have outdone themselves with the clarity, completeness, and relevance of this book. Whether you’re new to the practice of public health GIS or an experienced GIS user, you will benefit from the wealth of material provided.–Carol Hanchette, Department of Geography and Geosciences, University of LouisvilleCromley and McLafferty provide a thorough overview of the field. I have used the first edition as a text in my graduate-level introductory spatial methods class, and plan to use the second edition as well. I appreciate the book's extensive coverage of important information about GIS applications in public health research and practice.–Robin Puett, School of Public Health, University of Maryland A much-needed introduction to GIS for students, faculty, and professionals preparing to research or practice in public health. The second edition illustrates many new developments in the use of geospatial data, including spatial analysis methods now widely available on the Internet. It defines the terminology of GIS and shows how spatial analysis methods are used to understand and improve health. International in scope, the book covers mapping of disease rates, access to health services, environmental hazards and their health effects, diffusion of infectious diseases, community influences on health behavior, and the ecology of vector-borne diseases.–Gerard Rushton, Department of Geography, University of Iowa GIS and Public Health was already one of the most respected texts in the field, and the second edition does not disappoint. The authors have retained the strengths of the original–clear, concise, and practical introductions to GIS, geospatial data, spatial thinking, and spatial analysis in public health science–and have added important new content. I have found this text more rewarding to use in teaching and to consult for my own work than any other single book in the field.–Stephen A. Matthews, Population Research Institute, The Pennsylvania State University -Cromley and McLafferty have made substantial but worthwhile revisions ultimately adding over 150 new pages of material and revising much of the original text….A substantial addition to the volume comes in the form of online support for the more practical aspects of the book. Given the applied nature of topics covered, the addition of exercises providing examples for readers to work through and try out concepts themselves is welcomed….A highly commendable book for students and practitioners alike….It performs a good overview role with plenty of references.--International Planning Studies, 5/16/2013ƒƒ I can think of no better geographers than Ellen Cromley and Sara McLafferty for presenting the methodologies and research findings of GIS for health. --The Geographical Review, 9/22/2011ƒƒ Comprehensive, well-structured, well-illustrated, and well-written....Instructors will find a wealth of illustrative examples of applications. --Economic Geography, 9/22/2011Table of ContentsIntroduction 1. Geographic Information Systems 2. Spatial Data 3. Spatial Databases for Public Health 4. Mapping Health Information 5. Analyzing Spatial Clustering of Health Events 6. Analyzing Environmental Hazards 7. Analyzing the Risk and Spread of Infectious Diseases 8. Exploring the Ecology of Vector-Borne Disease 9. Analyzing Access to Health Services 10. Locating Health Services 11. Health Disparities 12. Public Participation GIS and Community Health

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Book SynopsisThe second edition of this book has been fully updated to include information on optical sensors launched since 2012 and on new developments in technology, particularly on small satellites and on constellations. There is also a new chapter on applications which looks at how products from optical sensors are used by various organisations for the benefit of end users. Information is given on acquiring images and value added products. Examples and case studies from various disciplines and regions are included. The book is a comprehensive guide to the characteristics and use of high resolution optical images from satellite-borne sensors, concentrating on sensors designed for mapping. It considers in detail the SPOT series of satellites and sensors with a ground sample distance (GSD) of less than 15m, operational since SPOT 1 and particularly the sensors launched since 1999 with GSD of less than 1m The book explains to students, anyone working in map production and scientists working in fields other than mapping, the way in which high resolution imagery is obtained and the issues which surround its collection and use. It deals progressively with the fundamentals of mapping from imagery, followed by the key features in the design of sensors and methods of data storage and transmission, including data compression. Subsequent chapters cover the sensors, calibration, sensor models and the methods of determining the orientation elements and extracting coordinates from the images. Rigorous orientation, use of rational polynomial coefficients (RPCs) and approximate methods are covered. Results from tests showing the accuracy which can be obtained, generation of digital elevations models, their accuracy and the production of orthoimages are included, as are image processing and data fusion. Finally, future missions and the issues which face further development are discussed. High Resolution Optical Satellite Imagery is written by a team of acknowledged international experts, is the only comprehensive text on the subject and has been well received by the geospatial community.Table of ContentsIntroduction; History of Optical Sensors in Space; Principles of High Resolution Optical Sensors; Sensors with a GSD of Greater than 1 m up to 16 m; Sensors with a GSD of 1 m or less; Calibration, Sensor Models and Orientation; Processing and Products; Applications; Conclusions and Future Developments; Index

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Book SynopsisThis annual covers excavation reports and analytical studies on archaeology, palaeobotany and archaeozoology. Topics include: island migration of early modern Homo sapiens in Southeast Asia; and Roman Iron Age plant husbandry at Peelo, the Netherlands.

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Book SynopsisFuture plans of the European Commission are presented in this volume. Other themes covered include: land applications; ice; water; ocean and coastal management; methods; models; systems aspects; and a section on data fusion.

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Book SynopsisThis is the Proceedings of the Ofan Inqua Symposium on Genesis and Lithology of Quaternary Deposits, Zurich, held on the 10-20 September 1978.

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Book SynopsisThe study of southern African Mesozoic and Tertiary strata has long had a low priority in both academic and commercial circles, and with the notable exception of diamonds, rocks of this age have not been thought to contain much worth digging up. This reference list contains approximately 750 entries and provides a review and synthesis of data on the Mesozoic and Tertiary rocks of southern Africa, seen in the context of Gondwana fragmentation.Table of Contents1 SOUTHERN AFRICA AND ITS POST-PALAEOZOIC SETTING 2 TRIASSIC TO EARLY JURASSIC ROCKS OF THE INTRACRATONIC BASINS 3 THE CAPE FOLD BELT 4 MIDDLE JURASSIC TO LOWER CRETACEOUS 5 UPPER CRETACEOUS 6 TERTIARY 7 SUMMARY OF MESOZOIC AND TERTIARY IGNEOUS ACTIVITY

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Book SynopsisSatellite designers deal with the special features of satellites for remote sensing, engineers explain spacecraft sensors, and mathematicians and specialist programmers discuss the problems of processing remote sensing dat Experts in agriculture, geology, forestry, oceanography and hydrology highli

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Book SynopsisEquipment & services offered by 80 firms in 10 countries.

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Book SynopsisA study of magmatism, one of the most important factors in the differentiation of matter of the Earth. It covers geological structures volcanic series, genesis of basaltic magma, and petrology of andesites of island arcs, and more.

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Book SynopsisContents: The concept of 'metallogeny of lithospheric plates' specially resorting to geodynamic modelling. Different geodynamic situations of metallogeny on global perspective and specific situations for the formation of copper-molybdenum, tin-wolfram, mercury, lead-zinc and fluorite provinces. Geodynamic models; Metallogenic investigations of geodynamic models; Paramount indicators of the geodynamic regime; Copper-Molybdenum porphyry ore provinces.

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Book SynopsisProceedings of the Sixth International Symposium on [title] held in Malvern, England, August 1989. No subject index. Annotation copyright Book News, Inc. Portland, Or.

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Book SynopsisContents: Historical aspects of Precambrian tectonics and metallogeny; Archaean supracrustal belts; Proterozoic mobile belts; Protoplatforms and ancient platforms; Regions of protoactivisation; Regions of tectonomagnetic activisation and rifting; Marginal and sulture structures; Deep structure of the continental crust and ore formation; Conclusions; Selected references; Index.

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Book SynopsisMark Monmonier looks at the increased use of geographic data, satellite imagery, and location tracking across a wide range of fields. Could these diverse forms of geographic monitoring, he asks, lead to grave consequences for society?Trade Review"With electronic spies in the sky, sensors under the streets, and geographic data banks everywhere, it takes Mark Monmonier's knowledge and insight to make sense of the new landscape of locational privacy. This is fascinating reading, indispensable to watchers and watched alike." - Edward Tenner, author of Why Things Bite Back: Technology and the Revenge of Unintended Consequences

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Book SynopsisCovers the convergent use of GIS for Location Science analysis, written by two of the leading researchers in the field. Introduction to new field at juncture of two mature disciplines. Includes ArcGIS and LINGO application files and data sets which will accompany the end of chapter questions.Table of ContentsDedication. Preface & Acknowledgment. Chapter 1: Introduction. 1.0. Motivation. 1.1. History. 1.2. First Principles. 1.3. Planning context. 1.4. Role of GIS. 1.5. Summary. 1.6. Terms. 1.7. References. 1.8. Exercises. Chapter 2: GIS. 2.0 Introduction. 2.1 Data Acquisition. 2.1.1 Existing sources. 2.1.2 Semi-existing sources. 2.1.3 Surveying and airborne approaches. 2.2 Data Management. 2.2.1 Raster. 2.2.2 Vector. 2.3 Data Manipulation. 2.3.1 Conversion. 2.3.2 Aggregation. 2.3.3 Overlay. 2.3.4 Interpolation. 2.4 Data Analysis. 2.4.1 Query. 2.4.2 Proximity. 2.4.3 Centrality. 2.4.4 Service zone. 2.5 Data Display. 2.6 Summary. 2.7 Terms. 2.8 References. 2.9 Exercises. Chapter 3: Model Building Fundamentals. 3.0 Introduction. 3.1 Review of Mathematical Notation. 3.1.1 Variables. 3.1.2 Mathematical expressions. 3.1.3 Inequalities. 3.2 Formulating an Optimization Model. 3.2.1 Apple shipment. 3.2.2 Manufacturing plant location. 3.2.3 School consolidation. 3.3 Model solution. 3.3.1 Apple shipment application. 3.3.2 Manufacturing plant location application. 3.3.3 School consolidation application. 3.4 Summary. 3.5 Terms. 3.6 References. 3.7 Exercises. Chapter 4: Trade and Service Areas. 4.0 Introduction. 4.1 Problem Definition and Motivation. 4.1.1 Descriptive trade area. 4.1.2 Prescriptive service area. 4.2 Mathematical Representation. 4.2.1 Descriptive trade area. 4.2.2 Prescriptive service area. 4.3 GIScience. 4.4 Modeling Application. 4.4.1 Descriptive trade area. 4.4.2 Prescriptive service area. 4.5 Advanced Topics. 4.5.1 Spatial interaction considerations. 4.5.2 Transportation problem considerations. 4.5.3 Using trade and service area models in site selection. 4.6 Summary. 4.7 Terms and Concepts. 4.8 References. 4.9 Exercises. Chapter 5: Suitability Analysis. 5.0 Introduction. 5.1 Problem Definition and Motivation. 5.2 Suitability Assessment Process. 5.2.1 Absolute suitability. 5.2.2 Relative suitability. 5.3 GIScience. 5.3.1 Map algebra. 5.3.2 Attribute data measurement. 5.4 Model Application. 5.4.1 Absolute suitability. 5.4.2 Relative suitability. 5.5 Advanced Topics . 5.6 Summary. 5.7 Terms and Concepts. 5.8 References. 5.9 Exercises. Chapter 6: Point-Based Location . 6.0 Introduction. 6.1 Problem Definition and Motivation. 6.2 Mathematical Representation. 6.2.1 Formulating the Weber problem. 6.2.2 Iterative solution approach for the Weber problem. 6.3 GIScience. 6.3.1 Projections and coordinate systems. 6.3.2 Spherical distance. 6.3.3 Planar distance. 6.4 Modeling Application. 6.4.1 Solution using commercial software. 6.4.2 Iterative solution. 6.5 Advanced Topics. 6.5.1 Variants of planar single facility location. 6.5.2 Fallacy of the centroid . 6.5.3 Location on a sphere. 6.5.4 Continuously distributed demand. 6.6 Summary . 6.7 Terms and Concepts. 6.8 References. 6.9 Exercises. Chapter 7: Line-Based Location. 7.0 Introduction. 7.1 Motivation and Problem Definition. 7.2 Mathematical Representation. 7.2.1 Shortest path model. 7.2.3 Exact solution approach. 7.3 GIScience. 7.3.1 Defining the network. 7.4 Modeling Application. 7.4.1 Path. 7.4.2 Corridor siting in ArcGIS. 7.5 Advanced Topics. 7.5.1 Expanding the network. 7.5.2 Shortest path variants. 7.6 Summary. 7.7 Terms and Concepts. 7.8 References. 7.9 Exercises. Chapter 8: Area-Based Location. 8.0 Introduction. 8.1 Problem Definition and Motivation. 8.2 Mathematical Representation. 8.2.1 Knapsack model. 8.2.2 Threshold model. 8.2.3 Shape model. 8.3 GIScience. 8.4 Modeling Application. 8.4.1 Knapsack model application. 8.4.2 Threshold model application. 8.4.3 Shape model application. 8.5 Advanced Topics. 8.6 Summary. 8.7 Terms. 8.8 References. 8.9 Exercises. Chapter 9: Coverage. 9.0 Introduction. 9.1 Problem Definition and Motivation. 9.1.1 Complete coverage. 9.1.2 Maximal coverage. 9.2 Mathematical Representation. 9.2.1 Complete coverage. 9.2.2 Maximal coverage. 9.3 GIScience. 9.4 Modeling Application. 9.4.1 LSCP. 9.4.2 MCLP. 9.5 Advanced topics. 9.5.1 Backup coverage. 9.5.2 Service availability. 9.5.3 Spatial representation. 9.6 Summary. 9.7 Terms and concepts. 9.8 References. 9.9 Exercises. Chapter 10: Dispersion. 10.0 Introduction. 10.1 Problem Definition and Motivation. 10.2 Mathematical Representation. 10.2.1 Neighborhood restrictions. 10.2.2 Pairwise restrictions. 10.2.3 Clique restrictions. 10.3 GIScience. 10.4 Modeling Application. 10.4.1 Neighborhood restrictions. 10.4.2 Pairwise restrictions. 10.4.3 Clique restrictions. 10.5 Advanced Topics. 10.5.1 Hybrid restrictions. 10.5.2 Max-min-min dispersion. 10.6 Summary. 10.7 Terms and concepts. 10.8 References. 10.9 Exercises. Chapter 11: Location-Allocation. 11.0 Introduction. 11.1 Problem Definition and Motivation. 11.2 Mathematical Representation. 11.2.1 Heuristic solution. 11.3 GIScience. 11.4 Modeling Application. 11.5 Advanced Topics. 11.5.1 Continuous space siting. 11.5.2 Service capacities and fixed costs. 11.5.3 Accounting for uncertainty and error. 11.6 Summary. 11.7 Terms and Concepts. 11.8 References . 11.9 Exercises. Chapter 12: Conclusion. 12.0 Introduction. 12.1 Classes of Location Models. 12.2 Class Variety and Extensions. 12.3 Solution Approaches. 12.4 Final Thoughts. 12.5 References. Glossary. Index.

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Book SynopsisThis book discusses maps as data with data structure implications; roving windows; spatial data modeling and management; assessing variability, shape, and pattern of map features; overlaying maps; cost-benefit analysis; algorithms involved in slope, distance, and connectivity; and cartographic and spatial modeling. A disk containing four-color graphics, including charts and maps, is also available. Provides a GIS glossary. Includes a list of recommended readings for each topic. Compiles international GIS instructions and presents contact details and information on each.Table of ContentsMaps as Data and Data Structure Implications. Measuring Effective Distance and Connectivity. Roving Windows: Assessment of Neighborhood Characteristics. What GIS Is and Isn't: Spatial Data Mapping, Management, Modeling,and More. Assessing Variability, Shape, and Pattern of Map Features. Overlaying Maps and Characterizing Error Propagation. Overlaying Maps and Summarizing the Results. Scoping GIS: What to Consider. Slope, Distance, and Connectivity: Their Algorithms. Cartographic and Spatial Modeling. Epilog. Appendices. Glossary. Index.

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Book SynopsisCompiling the authors? combined decades of experience, Microwave Noncontact Motion Sensing and Analysis sheds light on microwave noncontact vital sign detection from bench-top module to CMOS integrated microchip, covering a frequency range of over 30 GHz.Table of ContentsPreface xi 1 Introduction 1 1.1 Background, 1 1.2 Recent Progress on Microwave Noncontact Motion Sensors, 2 1.2.1 Microwave/Millimeter-Wave Interferometer and Vibrometer, 2 1.2.2 Noncontact Vital Sign Detection, 3 1.3 About This Book, 4 2 Theory of Microwave Noncontact Motion Sensors 7 2.1 Introduction to Radar, 7 2.1.1 Antennas, 8 2.1.2 Propagation and Antenna Gain, 10 2.1.3 Radio System Link and Friis Equation, 13 2.1.4 Radar Cross Section and Radar Equation, 15 2.1.5 Radar Signal-To-Noise Ratio, 16 2.1.6 Signal-Processing Basics, 17 2.2 Mechanism of Motion Sensing Radar, 18 2.2.1 Doppler Frequency Shift, 18 2.2.2 Doppler Nonlinear Phase Modulation, 19 2.2.3 Pulse Radar, 26 2.2.4 FMCW Radar, 27 2.2.5 Comparison of Different Detection Mechanisms, 29 2.3 Key Theory and Techniques of Motion Sensing Radar, 31 2.3.1 Null and Optimal Detection Point, 31 2.3.2 Complex Signal Demodulation, 33 2.3.3 Arctangent Demodulation, 34 2.3.4 Double-Sideband Transmission, 36 2.3.5 Optimal Carrier Frequency, 43 2.3.6 Sensitivity: Gain and Noise Budget, 49 3 Hardware Development of Microwave Motion Sensors 53 3.1 Radar Transceiver, 53 3.1.1 Bench-Top Radar Systems, 53 3.1.2 Board Level Radar System Integration, 61 3.1.3 Motion Sensing Radar-On-Chip Integration, 63 3.1.4 Pulse-Doppler Radar and Ultra-Wideband Technologies, 85 3.1.5 FMCW Radar, 89 3.2 Radar Transponders, 92 3.2.1 Passive Harmonic Tag, 93 3.2.2 Active Transponder for Displacement Monitoring, 95 3.3 Antenna Systems, 99 3.3.1 Phased Array Systems, 99 3.3.2 Broadband Antenna, 100 3.3.3 Helical Antenna, 103 4 Advances in Detection and Analysis Techniques 107 4.1 System Design and Optimization, 107 4.1.1 Shaking Noise Cancellation Using Sensor Node Technique, 107 4.1.2 DC-Coupled Displacement Radar, 111 4.1.3 Random Body Movement Cancellation Technique, 116 4.1.4 Nonlinear Detection of Complex Vibration Patterns, 124 4.1.5 Motion Sensing Based on Self-Injection-Locked Oscillators, 131 4.2 Numerical Methods: Ray-Tracing Model, 136 4.3 Signal Processing, 141 4.3.1 MIMO, MISO, SIMO Techniques, 141 4.3.2 Spectral Estimation Algorithms, 142 4.3.3 Joint Time–Frequency Signal Analysis, 153 5 Applications and Future Trends 157 5.1 Application Case Studies, 158 5.1.1 Assisted Living and Smart Homes, 158 5.1.2 Sleep Apnea Diagnosis, 164 5.1.3 Wireless Infant Monitor, 169 5.1.4 Measurement of Rotational Movement, 173 5.1.5 Battlefield Triage and Enemy Detection, 178 5.1.6 Earthquake and Fire Emergency Search and Rescue, 179 5.1.7 Tumor Tracking in Radiation Therapy, 180 5.1.8 Structural Health Monitoring, 185 5.2 Development of Standards and State of Acceptance, 194 5.3 Future Development Trends, 196 5.4 Microwave Industry Outlook, 202 References 203 Index 215

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Book SynopsisModeling the occurrence and behaviour of groundwater is a critical aspect to any groundwater studies, whether they're being done to plan a clean-up project or in the preliminary site studies for a planned future development. This book defines what GIS is, how to perform it, and how to use GIS technology in modeling groundwater.Table of ContentsPreface. 1 Flow Modeling. 1.1 Introduction. 1.2 Areal Extent of a Model. 1.3 Hydrological Boundaries to the Model. 1.4 Compilation of Geological Information. 1.4.1 Unconsolidated Environments. 1.4.2 Consolidated Rocks. 1.4.3 Metamorphic Rocks. 1.4.4 Igneous Rocks. 1.4.5 Representation of Geological Units. 1.5 Compilation of Hydrological Information. 1.5.1 Geohydrological Parameters. 1.5.2 Boundary Conditions. 1.5.3 Stresses. 1.6 Water-Table Condition. 1.6.1 Near-Surface Aquifer Zone. 1.6.2 Sharp-Interface Approximation of the Water Table. 1.6.3 Variably Saturated Water-Table Formulation. 1.6.4 Comparison of the Sharp-Interface and Variably Saturated Formulations. 1.7 Physical Dimensions of the Model. 1.7.1 Vertical Integration of the Flow Equation. 1.7.2 Free-Surface Condition. 1.8 Model Size. 1.9 Model Discretization. 1.9.1 Finite-Difference Approximations. 1.9.2 Finite-Element Approximations. 1.9.3 Two-Space Dimensional Approximations. 1.10 Finite-Difference Approximation to the Flow Equation. 1.10.1 Model Boundary Conditions. 1.10.2 Model Initial Conditions. 1.11 Finite-Element Approximation to the Flow Equation. 1.11.1 Boundary Conditions. 1.11.2 Initial Conditions. 1.12 Parameters. 1.13 Fractured and Cavernous Media. 1.14 Model Stresses. 1.14.1 Well Discharge or Recharge. 1.14.2 Rainfall. 1.14.3 Multiple Stress Periods. 1.15 Finite-Element Mesh. 1.16 Simulation. 1.16.1 Solution Algorithm. 1.16.2 Bandwidth. 1.16.3 Running PTC. 1.17 Output. 1.18 Calibration. 1.18.1 Model Building Guidelines. 1.18.2 Model Evaluation Guidelines. 1.18.3 Additional Data-Collection and Model Development Guidelines. 1.18.4 Uncertainty-Evaluation Guidelines. 1.18.5 Some Rules of Thumb. 1.19 Production Runs. 1.20 Summary. References. 2 Transport Modeling. 2.1 Compilation of Water-Quality Information. 2.2 Physical Dimensions. 2.3 Model Size. 2.4 Transport Equation. 2.4.1 Equilibrium or Adsorption Isotherms. 2.4.2 Mass Flux. 2.4.3 Example of Retardation. 2.5 Chemical Reactions. 2.6 Model Boundary Conditions. 2.7 Finite-Element Approximation. 2.8 Boundary Conditions 2.8.1 First-Type Boundary Condition. 2.8.2 Second-Type Boundary Condition. 2.8.3 Third-Type Boundary Condition. 2.9 Initial Conditions. 2.10 Model Parameters. 2.11 Model Stresses. 2.12 Running the Model. 2.13 Output. 2.14 Calibration. 2.15 Production Runs. 2.16 Summary. References. 3 Finite-Element versus Finite-Difference Simulation. 3.1 Elementary Application. 3.1.1 Groundwater Flow. 3.1.2 Groundwater Transport. 3.2 Comparison of Methods. 3.2.1 Graphical User Interfaces. 3.2.2 Model Formulation and Implementation. 3.2.3 Groundwater Flow. 3.2.4 Groundwater Transport. 3.3 Summary. Index.

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Book SynopsisPresents strategies for application development, interface design, and enabling Web-based access. Includes numerous case studies and examples from the private and public sectors. Provides information on integrating legacy MIS systems and planning for future developments in database design. Trade Review"The Design & Implementation of Geographic Information Systems is an effective reality check for those looking to implement a GIS." (GIS Monitor, June 2003)Table of ContentsAcknowledgments. Chapter 1: Introduction. Who Should Read This Book. What Is a Geographic Information System? Corporate or Enterprise Geographic Information Systems. The GIS Strategic Plan. Chapter 2: Before Design: Needs Assessment and Requirements Analysis. Organizational Involvement. Need for Education, Support, and Commitment of Management ? Corporate Implementation Takes Time. Manage Users? Expectations ? No Unrealistic Promises. Needs Assessment/Requirements Analysis. Assessing the Current Users. Categorizing Users. Other Factors with Users. Applications. Evaluating Existing Data. Accuracy. Completeness. Maintenance. Software Selection. Technical Environment. Assessing Costs and Benefits. Pulling the Needs Together. Chapter 3: Designing the GIS Database Schema. Elements of a Schema. Data Dictionary. Tables and Relationships. Metadata. Chapter 4: Designing Spatial Data. C hoosing the Appropriate M ix of Data Models. Choosing a Subset of Reality. The Two Principal Data Models. Layers and Objects. Representing Geographic Features. Topologic Relationships. Types of Spatial Objects. Issues around the Third Dimension. Accuracy, Precision, and Completeness. Accuracy Concerns ? Global Positioning Systems. Differential Processing. Accuracy across Layers. Choosing a Coordinate System and Map Projection. Decimal Longitude and Latitude or Projected Data. Characteristics of Map Projections. Spanning Existing Map Projection Zones. Selection of Projection for Large Areas. Spatial Indexing. Conclusions. Chapter 5: Design Issues for Attribute Data. General Principles: Fields in Both D and G Tables. Specific Principles for G Tables. Principles for Fields in D Tables. Designing Input Elements. Design of Output Elements. Application Design. Chapter 6: Remotely Sensed Data as Background Layers and Data Sources. Aerial Photography as Backdrop Information. Capture Data as Well? Dealing with the Images. Integrating Remotely Sensed Information with GIS. Questions to Ask. Chapter 7: Implementation: Data Development and Conversion. System Configuration and Product Architecture Plan. Data Development and Conversion Plan. Capturing Digital Data. Optical Character Recognition. In-House or Out-Source Data Development of Conversion. Selecting a Vendor. Perform a Pilot Project. Chapter 8: Implementation: Selecting Hardware and Software. Software Considerations. Evaluating Software. How to Select Your Software. Hardware Concerns. Networking Issues. Types of Networks. The Capacity of the Network. Chapter 9: Designing the Organization for GIS. Ownership of Geographic Information. User Roles. Staffing the Design and Implementation Process. Where to Put the GIS. Designing the Data Flow. Chapter 10: Early Management Concerns: Interacting with the System. User Roles. Managing User Roles. Managing Desktop Interfaces. Managing World Wide Web-Based Interfaces. GIS Interaction and the Organization. A New Committee. Evaluation. Access Controls. Controlling Public Access. Managing the System ? The Maintenance Plan. Data Dissemination. GIS Data Distribution through the World Wide Web. Summary. Index.

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Book SynopsisMany types of linear position sensors are used in commercial, industrial, and automotive products and equipment. This book explains the theory behind the various technologies used and shows how they are implemented in practice.Table of ContentsPreface. 1. Sensor Definitions and Conventions. 1.1 Is It a Sensor or a Transducer? 1.2 Position versus Displacement. 1.3 Absolute or Incremental Reading. 1.4 Contact or Contactless Sensing and Actuation. 1.5 Linear and Angular Configurations. 1.6 Application versus Sensor Technology. 2. Specifications. 2.1 About Position Sensor Specifications. 2.2 Measuring Range. 2.3 Zero and Span. 2.4 Repeatability. 2.5 Nonlinearity. 2.6 Hysteresis. 2.7 Calibrated Accuracy. 2.8 Drift. 2.9 What Does All This about Accuracy Mean to Me? 2.10 Temperature Effects. 2.11 Response Time. 2.12 Output Types. 2.13 Shock and Vibration. 2.14 EMI/EMC. 2.15 Power Requirements. 2.16 Intrinsic Safety, Explosion Proofing, and Purging. 2.17 Reliability. 3. Resistive Sensing. 3.1 Resistive Position Transducers. 3.2 Resistance. 3.3 History of Resistive Linear Position Transducers. 3.4 Linear Position Transducer Design. 3.5 Resistive Element. 3.6 Wiper. 3.7 Linear Mechanics. 3.8 Signal Conditioning. 3.9 Advantages and Disadvantages. 3.10 Performance Specifications. 3.11 Typical Performance Specifications and Applications. 4. Capacitive Sensing. 4.1 Capacitive Position Transducers. 4.2 Capacitance. 4.3 Dielectric Constant. 4.4 History of Capacitive Sensors. 4.5 Capacitive Position Transducer Design. 4.6 Electronic Circuits for Capacitive Transducers. 4.7 Guard Electrodes. 4.8 EMI/RFI. 4.9 Typical Performance Specifications and Applications. 5. Inductive Sensing. 5.1 Inductive Position Transducers. 5.2 Inductance. 5.3 Permeability. 5.4 History of Inductive Sensors. 5.5 Inductive Position Transducer Design. 5.6 Coil. 5.7 Core. 5.8 Signal Conditioning. 5.9 Advantages. 5.10 Typical Performance Specifications and Applications. 6. The LVDT. 6.1 LVDT Position Transducers. 6.2 History of the LVDT. 6.3 LVDT Position Transducer Design. 6.4 Coils. 6.5 Core. 6.6 Carrier Frequency. 6.7 Demodulation. 6.8 Signal Conditioning. 6.9 Advantages. 6.10 Typical Performance Specifications and Applications. 7. The Hall Effect. 7.1 Hall Effect Transducers. 7.2 The Hall Effect. 7.3 History of the Hall Effect. 7.4 Hall Effect Position Transducer Design. 7.5 Hall Effect Element. 7.6 Electronics. 7.7 Linear Arrays. 7.8 Advantages. 7.9 Typical Performance Specifications and Applications. 8. Magnetoresistive Sensing. 8.1 Magnetoresistive Transducers. 8.2 Magnetoresistance. 8.3 History of Magnetoresistive Sensors. 8.4 Magnetoresistive Position Transducer Design. 8.5 Magnetoresistive Element. 8.6 Linear Arrays. 8.7 Electronics. 8.8 Advantages. 8.9 Typical Performance Specifications and Applications. 9. Magnetostrictive Sensing. 9.1 Magnetostrictive Transducers. 9.2 Magnetostriction. 9.3 History of Magnetostrictive Sensors. 9.4 Magnetostrictive Position Transducer Design. 9.5 Waveguide. 9.6 Position Magnet. 9.7 Pickup Devices. 9.8 Damp. 9.9 Electronics. 9.10 Advantages. 9.11 Typical Performance Specifications. 9.12 Application. 10. Encoders. 10.1 Linear Encoders. 10.2 History of Encoders. 10.3 Construction. 10.4 Absolute versus Incremental Encoders. 10.5 Optical Encoders. 10.6 Magnetic Encoders. 10.7 Quadrature. 10.8 Binary versus Gray Code. 10.9 Electronics. 10.10 Advantages. 10.11 Typical Performance Specification and Applications. References. Index.

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Book SynopsisGeographical Weighted Regression (GWR) is a new local modellingtechnique for analysing spatial analysis. This technique allowslocal as opposed to global models of relationships to be measuredand mapped. This is the first and only book on this technique,offering comprehensive coverage on this new ''hot'' topic in spatialanalysis. * Provides step-by-step examples of how to use the GWR model usingdata sets and examples on issues such as house price determinants,educational attainment levels and school performance statistics * Contains a broad discussion of and basic concepts on GWR throughto ideas on statistical inference for GWR models * uniquely features accompanying author-written software thatallows users to undertake sophisticated and complex forms of GWRwithin a user-friendly, Windows-based, front-end (see book fordetails).Trade Review"...this excellent volume..." (Geomatics World, July/August 2003)Table of ContentsAcknowledgements.Local Statistics and Local Models for Spatial Data. Geographically Weighted Regression: The Basics. Extensions to the Basic GWR Model. Statistical Inference and Geographically Weighted Regression. GWR and Spatial Autocorrelation. Scale Issues and Geographically Weighted Regression. Geographically Weighted Local Statistics. Extensions of Geographically Weighting. Software for Geographically Weighted Regression. Epilogue. Bibliography.Index.

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Book SynopsisExploit the advantages of Geographic Information Systems in your business Once the domain of cartographers and other specialists, Geographic Information Systems (GIS) are increasingly being employed by the business community. Location-based services, supply chain management, management of field-distributed equipment, geographical marketing and promotion, and the spatial web are some of the current business applications which make use of GIS principles. Written specifically for the businessperson, Geo-Business: GIS in the Digital Organization is the first book to provide comprehensive coverage of GIS applications in the business and organizational environment. Going beyond a strictly geographical focus, this book sets GIS in the context of business information systems and other business sub-disciplines such as logistics, marketing, finance, and strategic management. It presents from an organizational perspective the advantages of spatially enabling existing enteTrade Review"This book is both an introduction to the field for IS people and a reference work that will be consulted as GIS problems and applications are encountered. The author is one of the few information systems people who have worked on GIS at both the practical and research levels over many years. Particularly useful are the references at the ends of the chapters, which point to places where a deeper understanding of each issue can be obtained. There is a lot here and all of it is useful." (Information Systems Management, June 2008) "Pick's new book, is one of the few business-oriented GIS books to be written in the last several years." (Geoplace.com; 1/18/08)Table of Contents1. GIS in the Digital Economy. 2. Information Systems and GIS. 3. Supporting Business Decisions. 4. Enterprise Applications. 5. Customer Facing GIS: Web, E-Commerce, and Mobile Solutions. 6. Spatial Systems Development. 7. The Value of Investing in GIS. 8. Managing Spatial Data. 9. Organizational and Industry Aspects. 10. Industries and Outsourcing. 11. Ethical, Legal, and Security Issues of Spatial Technologies. 12. GIS and Business Strategy.

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Book SynopsisThis unique work introduces the basic principles of artificial intelligence with applications in geographical teaching and research, GIS, and planning. Written in an accessible, non-technical and witty style, this book marks the beginning of the Al revolution in geography with major implications for teaching and research.Table of ContentsArtificial Intelligence and Geography. A Brief History of Artificial Intelligence. Heuristic Search in Geography. Expert Systems and Intelligent Knowledge-based Systems. Neurocomputing. Applying Artificial Neural Networks. Evolutionary Computation, Genetic Algorithms, Evolution Strategiesand Genetic Programming. Artificial Life. Fuzzy Logic, Fuzzy Systems and Soft Computing. Conclusions and Epilogue. Index.

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Book SynopsisA critical issue which is fundamentally affecting the development of the Earth Observation sector is not so much the technology but the data policy. The conditions which govern access to the data, distribution of the data and the price of the data are now vital to the exploitation of this important environmental data resource.Table of ContentsInfluencing Factors. Existing Policies and Policy Making Processes. Physical Access to Earth Observation Data. Data Protection. Data Pricing Policy. Data Preservation. Conclusions and Recommendations. Appendix. References. Index.

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Book SynopsisOffers a practical state-of-the-field overview of big data as both a means and an object of research, with essays from prominent and emerging scholars. Part 1 explores how the advent of geoweb technologies and big data sets has influenced some of geography's major subdisciplines. Part 2 addresses how the geographic study of big data has implications for other disciplinary fields.Trade Review"In recent years, big data has been frequently touted as the new reality in research, business, and nearly everything else. This work examines the promise and realities of big data specifically as it relates to geographically referenced information."—J. Cummings, Choice“The drumbeat of ‘big data’ is reorganizing everyday life, for some. This important collection takes the pulse of this hype from the perspective of the discipline of geography, pursuing questions that highlight the peculiarities of this location-based, techno-cultural moment.”—Matthew W. Wilson, associate professor of geography at the University of Kentucky “This collection is a key step along the road from hyperbole to engagement with regard to the significance and impacts of big spatial data. It offers key insights into big spatial data as both means and object of researcher, tracing the socio-spatial and epistemological possibilities and limits of this dynamic phenomenon.”—Sarah Elwood, professor of geography at the University of Washington “Thinking Big Data in Geography delivers vital theoretical and empirical perspectives on the problems and possibilities of spatialized data in both extraordinary circumstances and everyday life.”—Craig Dalton, assistant professor of global studies and geography at Hofstra UniversityTable of ContentsList of Illustrations List of Tables Introduction Jim Thatcher, Andrew Shears, and Josef Eckert Part 1. What Is Big Data and What Does It Mean to Study It? 1. Toward Critical Data Studies: Charting and Unpacking Data Assemblages and Their Work Rob Kitchin and Tracey P. Lauriault 2. Big Data: Why (Oh Why?) This Computational Social Science? David O’Sullivan Part 2. Methods and Praxis in Big Data Research 3. Smaller and Slower Data in an Era of Big Data Renee Sieber and Matthew Tenney 4. Reflexivity, Positionality, and Rigor in the Context of Big Data Research Britta Ricker Part 3. Empirical Interventions 5. A Hybrid Approach to Geotweets: Reading and Mapping Tweet Contexts on Marijuana Legalization and Same-Sex Marriage in Seattle, Washington Jin-Kyu Jung and Jungyeop Shin 6. Geosocial Footprints and Geoprivacy Concerns Christopher D. Weidemann, Jennifer N. Swift, and Karen K. Kemp 7. Foursquare in the City of Fountains: Using Kansas City as a Case Study for Combining Demographic and Social Media Data Emily Fekete Part 4. Urban Big Data: Urban-Centric and Uneven 8. Big City, Big Data: Four Vignettes Jessa Lingel 9. Framing Digital Exclusion in Technologically Mediated Urban Spaces Matthew Kelley Part 5. Talking across Borders 10. Bringing the Big Data of Climate Change Down to Human Scale: Citizen Sensors and Personalized Visualizations in Climate Communication David Retchless 11. Synergizing Geoweb and Digital Humanitarian Research Ryan Burns Part 6. Conclusions 12. Rethinking the Geoweb and Big Data: Future Research Directions Mark Graham Bibliography List of Contributors Index

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Book SynopsisNASA is composed of a vast and varied network of scientists across the academic spectrum involved in research and development programs that have wide application on planet Earth. This book, using case studies, reveals how the broad application of remote sensing and geophysical techniques is altering the usual conduct of dirt archaeology.

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Book SynopsisExplains how GIS enhances the development of chemical fate and transport models Over the past decade, researchers have discovered that geographic information systems (GIS) are not only excellent tools for managing and displaying maps, but also useful in the analysis of chemical fate and transport in the environment. Among its many benefits, GIS facilitates the identification of critical factors that drive chemical fate and transport. Moreover, GIS makes it easier to communicate and explain key model assumptions. Based on the author''s firsthand experience in environmental assessment, GIS Based Chemical Fate Modeling explores both GIS and chemical fate and transport modeling fundamentals, creating an interface between the two domains. It then explains how GIS analytical functions enable scientists to develop simple, yet comprehensive spatially explicit chemical fate and transport models that support real-world applications. In addition, the book features:<Table of ContentsPreface xiii Contributors xvii Chapter 1 | Chemicals, Models, and GIS: Introduction 1 1-1 Chemistry, Modeling, and Geography 1 1-2 Mr. Palomar and Models 2 1-3 What Makes a Model Different? 4 1-4 Simple, Complex, or Tiered? 7 Compatibility of Emissions and Concentrations 9 Spatiotemporal Variability 10 Spatial Patterns 12 More Complex Models and the Tale of Horatii and Curiatii 15 1-5 For Whom is this Book Written? 17 References 19 Chapter 2 | Basics of Chemical Compartment Models and Their Implementation with GIS Functions 23 2-1 Introduction 23 2-2 Phase Partitioning 24 Air Compartment 24 Surface Water Compartment 25 Soil Compartment 25 2-3 Diffusion, Dispersion, and Advection 26 2-4 Fluxes at the Interfaces 28 Air–Ground Surface Interface 28 Water–Air and Water–Bottom Sediment Interface 28 Soil–Air and Soil–Water Interface 29 Parameterization of Advection Velocities and Diffusion/Dispersion Rates 29 2-5 Reactions 32 2-6 Transport Within an Environmental Medium: The Advection–Diffusion Equation (ADE) 33 Soils 37 Surface Water 38 Atmosphere 39 2-7 Analytical Solutions 40 Example: The Domenico Model 40 Example: Implementation of a River Plug Flow Model in a Spreadsheet 45 2-8 Box Models, Multimedia and Multispecies Fate and Transport 47 Example: Implementing a Box Model of Soil Contamination and Water Pollution Loading in a Spreadsheet 51 2-9 Spatial Models: Implicit, Explicit, Detailed Explicit, and GIS-Based Schemes 57 References 65 Chapter 3 | Basics of GIS Operations 71 3-1 What is GIS? 71 3-2 GIS Data 72 Coordinate Systems 72 Example: Coordinate Transformation 75 Example: Georeference a Map from a Paper Using ArcGIS 77 GIS Formats 81 3-3 GIS Software 92 3-4 GIS Standards 93 Exercise: Browse and Export Geographic Objects in KML and Combine Them with Layers from a WMS 94 3-5 A Classification of GIS Operations for Chemical Fate Modeling 99 3-6 Spatial Thinking 100 3-7 Beyond GIS 103 3-8 Further Progress on GIS 104 References 104 Chapter 4 | Map Algebra 107 4-1 Map Algebra Operators and Syntaxes 109 4-2 Using Map Algebra to Compute a Gaussian Plume 112 Example: Using Map Algebra to Compute Volatilization Rates from Water Bodies 119 4-3 Using Map Algebra to Implement Isolated Box Models 121 References 124 Chapter 5 | Distance Calculations 127 5-1 Concepts of Distance Calculations 127 Example: Feature Buffering 127 Example: Join Based on Distance 129 5-2 Distance Along a Surface and Vertical Distance 134 5-3 Applications of Euclidean Distance in Pollution Problems 135 5-4 Cost Distance 139 Exercise: Euclidean and Cost distance Calculations 140 References 148 Chapter 6 | Spatial Statistics and Neighborhood Modeling in GIS 149 6-1 Variograms: Analyzing Spatial Patterns 149 Exercise: Computing Variograms of Observed Atmospheric Contaminants 154 6-2 Interpolation 160 6-3 Zonal Statistics 163 6-4 Neighborhood Statistics and Filters 164 Exercise: Creating a Population Map from Point and Polygon Data 169 References 170 Chapter 7 | Digital Elevation Models, Topographic Controls, and Hydrologic Modeling in GIS 171 7-1 Basic Surface Analysis 171 7-2 Drainage 178 Example: Pit Filling, Flow Direction, Flow Accumulation, and Flow Length in ArcGIS 178 Example: Catchment Population in India 183 Example: Travel Time 185 7-3 Using GIS Hydrological Functions in Chemical Fate and Transport Modeling 187 7-4 Non-D8 Methods and the TauDEM Algorithms 190 7-5 ESRI’s ‘‘Darcy Flow’’ and ‘‘Porous Puff’’ Functions 191 References 193 Chapter 8 | Elements of Dynamic Modeling in GIS 195 8-1 Dynamic GIS Models 195 8-2 Studying Time-Dependent Effects With Simple Map Algebra 200 Intermittent Emissions 200 Lagged Release from Historical Stockpiles 201 Stepwise Constant Emission and Removal Processes 202 8-3 Decoupling Spatial and Temporal Aspects of Models: The Mappe Global Approach 203 References 206 Chapter 9 | Metamodeling and Source–Receptor Relationship Modeling in GIS 209 9-1 Introduction 209 9-2 Metamodeling 210 9-3 Source–Receptor Relationships 213 References 215 Chapter 10 | Spatial Data Management in GIS and the Coupling of GIS and Environmental Models 217 10-1 Introduction 217 10-2 Historical Perspective of Emergence of Spatial Databases in Environmental Domain 218 10-3 Spatial Data Management in GIS: Theory and History 221 Spatial Database Definition 221 Relational Data Model Foundations 221 Object Relational Concepts: A Foundation Model for Spatial Databases—Theoretical Background 224 PostgreSQL/PostGIS Object Relational Support 225 Oracle Object Relational Support 225 10-4 Spatial Database Solutions 226 ESRI Geodatabase 226 PostgreSQL and PostGIS 229 Oracle Locator and Spatial 230 10-5 Simple Environmental Spatiotemporal Database Skeleton and GIS: Hands-On Examples 230 Simple PostgreSQL/PostGIS Environmental Spatiotemporal Database Skeleton and QuantumGIS 231 Simple Oracle XE Environmental Spatiotemporal Database Skeleton 237 10-6 Generalized Environmental Spatiotemporal Database Skeleton and Geographic Mashups 244 Spatiotemporal Database Skeleton 244 Geographic Mashup 246 References 249 Chapter 11 | Soft Computing Methods for the Overlaying of Chemical Data with Other Spatially Varying Parameters 253 11-1 Introduction 253 11-2 Fuzzy Logic and Expert Judgment 258 11-3 Spatial Multicriteria Analysis 262 11-4 An Example of Vulnerability Mapping of Water Resources to Pollution 266 References 276 Chapter 12 | Types of Data Required for Chemical Fate Modeling 279 12-1 Climate and Atmospheric Data 280 12-2 Soil Data 286 12-3 Impervious Surface Area 289 12-4 Vegetation 289 12-5 Hydrological Data 291 12-6 Elevation Data 293 12-7 Hydrography 296 12-8 Lakes 298 12-9 Stream Network Hydraulic Data 298 12-10 Ocean Parameters 299 12-11 Human Activity 301 Land Use/Land Cover 303 Population 305 Stable Lights at Night 306 12-12 Using Satellite Images for the Extraction of Environmental Parameters 306 12-13 Compilations of Data for Chemical Fate and Transport Modeling 307 References 307 Chapter 13 | Retrieval and Analysis of Emission Data 311 13-1 Characterization of Emissions 311 13-2 Emissions based on Production Volumes 312 13-3 Estimation from Usage or Release Inventories 313 13-4 Emission Factors 313 13-5 Spatial and Temporal Distribution of Emissions 314 Diffuse Emissions at Local to Regional Scale 317 Example: Estimating Urban Runoff Contaminants from Land Use and Population Data in the Province of Naples, Italy 318 Exercise: Apportionment of Emissions Using a Geographic Pattern 318 13-6 Modeling Traffic Flows 322 References 326 Chapter 14 | Characterization of Environmental Properties and Processes 329 14-1 Physicochemical Properties and Partition Coefficients 329 14-2 Aerosol and Suspended Sediments 330 Exercise: Computing SPM in Rivers Using the Formula of Hakanson and Co-workers 332 14-3 Diffusive Processes 335 14-4 Dispersion 335 14-5 Advective Processes 336 Atmospheric Deposition 336 Soil Water Budget Calculations 338 Soil Erosion 344 14-6 River and Lake Hydraulic Geometry 344 References 350 Chapter 15 | Complex Models, GIS, and Data Assimilation 353 15-1 Atmospheric Transport Models 353 Example: Dispersion Modeling of an Atmospheric Emission in Australia 354 15-2 Transport in Groundwater and the Analytic Element Method 361 15-3 GIS Functions of Modeling Systems and Data Assimilation 361 References 363 Chapter 16 | The Issue of Monitoring Data and the Evaluation of Spatial Models of Chemical Fate 365 16-1 Existing Monitoring Programs 366 16-2 Distributed Sampling 366 16-3 Methods for the Comparison of Measured and Modeled Concentrations 367 Exercise: Comparison of Two PCB Soil Concentration Models 368 References 375 Chapter 17 | From Fate to Exposure and Risk Modeling with GIS 377 17-1 Exposure and Risk for Human Health 377 17-2 Models for the Quantification of Chemical Intake by Humans 382 Exercise: Human Exposure, Intake, and Cancer Risk Related to Ingestion of Aboveground Produce Contaminated by Gas and Dust Deposition of 2,3,7,8-TCDD Emitted from an Industrial Emission Source 386 17-3 Ecological and Environmental Risk Assessment 393 Exercise: Mapping Patch Area and Ecotones in South America 398 17-4 Data for GIS Based Risk Assessment 400 References 401 Chapter 18 | GIS Based Models in Practice: The Multimedia Assessment of Pollutant Pathways in the Environment (MAPPE) Model 405 18-1 Introduction 405 18-2 Environmental Compartments Considered in the Model 407 Atmosphere Compartment 409 Soil Compartment 412 Inland Water Compartment 413 Seawater 415 18-3 Implementation in GIS: Example with Lindane 416 Scalar Input Quantities 416 Maps Describing Landscape and Climate Parameters 418 Air Compartment Calculations 419 Soil Compartment Calculations 422 Inland Water Compartment Calculations 427 Seawater Compartment Calculations 434 18-4 Using the Model For Scenario Assessment 436 References 441 Chapter 19 | Inverse Modeling and Its Application to Water Contaminants 443 19-1 Introduction 443 Exercise: Inverse Modeling of Caffeine in Europe 447 References 451 Chapter 20 | Chemical Fate and Transport Indicators and the Modeling of Contamination Patterns 453 20-1 The Relative Risk Model 453 Example: Relative Risk Assessment for Coastal Ecosystems Due to Wastewater Emission in South Africa 456 20-2 Use of Chemical Fate and Transport Indicators in the Context of Relative Risk Assessment: An Example with Contaminants Applied to Soil 459 Example: Generic Modeling of Sewage Sludge Soil Application in Mexico 464 References 472 Chapter 21 | Perspectives: The Challenge of Cumulative Impacts and Planetary Boundaries 475 References 478 Index 481

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Book SynopsisAn authoritative guide to the essential techniques and most recent advances in urban remote sensing Techniques and Methods in Urban Remote Sensing offers a comprehensive guide to the recent theories, methods, techniques, and applications in urban remote sensing. Written by a noted expert on the subject, this book explores the requirements for mapping impervious surfaces and examines the issue of scale. The book covers a range of topics and includes illustrative examples of commonly used methods for estimating and mapping urban impervious surfaces, explains how to determine urban thermal landscape and surface energy balance, and offers information on impacts of urbanization on land surface temperature, water quality, and environmental health. Techniques and Methods in Urban Remote Sensing brings together in one volume the latest opportunities for combining ever-increasing computational power, more plentiful and capable data, and more advanced algorithms. This allows the technologies Table of ContentsPreface ix Synopsis of the Book xiii Acknowledgments xvii About the Author xix 1 Urban Mapping Requirements 1 1.1 Introduction 1 1.2 Spectral Resolution Requirement 3 1.3 Temporal Resolution Requirement 6 1.4 Spatial Resolution Requirement 7 1.5 Linear Spectral Mixture Analysis of Urban Landscape 9 1.6 Summary 25 References 26 2 The Scale Issue 33 2.1 Introduction 33 2.2 Urban Land Mapping and Categorical Scale 34 2.3 Observational Scale and Image Scene Models 36 2.4 Operational Scale 40 2.5 Scale Dependency of Urban Phenomena 41 2.6 Summary 46 References 47 3 Building Extraction and Classification 55 3.1 Introduction 55 3.2 Building Reconstruction 56 3.3 Building Classification 64 References 66 4 Estimation and Mapping of Impervious Surfaces 69 4.1 Introduction 69 4.2 Methods for Impervious Surface Extraction 70 4.3 Case Studies 72 4.4 Summary 85 References 85 5 Land Surface Temperature Data Generation 91 5.1 Introduction 91 5.2 Generating Daily Land Surface Temperature by Data Fusion 95 5.3 Reconstructing Consistent LSTs at Landsat Resolution 111 References 121 6 Urban Heat Islands Modeling and Analysis 129 6.1 Introduction 129 6.2 Characterizing UHIs Using a Convolution Model 130 6.3 Object‐Based Extraction of Hot Spots 138 References 146 7 Estimation of Urban Surface Energy Fluxes 151 7.1 Introduction 151 7.2 Data and Methodology 154 7.3 Heat Fluxes in Four Seasons 160 7.4 Heat Fluxes by LULC Type 162 7.5 Extreme Values of Heat Fluxes 164 7.6 Anthropogenic Heat Discharge 166 7.7 Summary 167 References 169 8 Cities at Night 175 8.1 Introduction 175 8.2 Detecting Urban Extent Changes 177 8.3 Spatiotemporal Pattern of Energy Consumption in United States and China 185 References 197 9 Urban Runoff Modeling and Prediction 201 9.1 Introduction 201 9.2 Estimating Composite CN and Simulating Urban Surface Runoff 205 9.3 Surface Water Quality and Urban Land‐Cover Changes 212 References 227 10 Urban Ecology of West Nile Virus 233 10.1 Introduction 233 10.2 Research Background 235 10.3 Effect of Landscape and Socioeconomic Conditions on WNV Dissemination in Chicago 236 10.4 WNV‐Risk Areas in Southern California, 2007–2009 247 References 260 11 Impacts of Urbanization on Land Surface Temperature and Water Quality 267 11.1 Introduction 267 11.2 Impact of Urbanization‐Induced Land‐Use and Land‐Cover Change on LST 269 11.3 Simulating the Impacts of Future Land‐Use and Climate Changes on Surface Water Quality 283 11.4 Summary 299 References 300 12 Remote Sensing of Socioeconomic Attributes 307 12.1 Introduction 307 12.2 Population Estimation Using Landsat ETM+ Imagery 312 12.3 Assessing Urban Environmental Quality Change 322 References 337 Index 343

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Book SynopsisFollowing 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.Table of ContentsOverview of the book xi Part I Image processing 1 Digital image and display 3 1.1 What is a digital image? 3 1.2 Digital image display 4 1.3 Some key points 8 1.4 Questions 8 2 Point operations (contrast enhancement) 9 2.1 Histogram modification and lookup table 9 2.2 Linear contrast enhancement (LCE) 11 2.2.1 Derivation of a linear function from two points 12 2.3 Logarithmic and exponential contrast enhancement 13 2.4 Histogram equalisation (HE) 14 2.5 Histogram matching (HM) and Gaussian stretch 15 2.6 Balance contrast enhancement technique (BCET) 16 2.7 Clipping in contrast enhancement 18 2.8 Tips for interactive contrast enhancement 18 2.9 Questions 19 3 Algebraic operations (multi‐image point operations) 21 3.1 Image addition 21 3.2 Image subtraction (differencing) 22 3.3 Image multiplication 22 3.4 Image division (ratio) 22 3.5 Index derivation and supervised enhancement 26 3.6 Standardization and logarithmic residual 29 3.7 Simulated reflectance 29 3.8 Summary 33 3.9 Questions 34 4 Filtering and neighbourhood processing 35 4.1 FT: Understanding filtering in image frequency 35 4.2 Concepts of convolution for image filtering 37 4.3 Low pass filters (smoothing) 38 4.4 High pass filters (edge enhancement) 42 4.5 Local contrast enhancement 45 4.6 FFT selective and adaptive filtering 46 4.7 Summary 52 4.8 Questions 52 5 RGB‐IHS transformation 55 5.1 Colour co‐ordinate transformation 55 5.2 IHS de‐correlation stretch 57 5.3 Direct de‐correlation stretch technique 58 5.4 Hue RGB colour composites 60 5.5 Derivation of RGB‐IHS and IHS‐RGB transformation based on 3D geometry of the RGB colour cube 63 5.6 Mathematical proof of DDS and its properties 65 5.7 Summary 67 5.8 Questions 67 6 Image fusion techniques 69 6.1 RGB‐IHS transformation as a tool for data fusion 69 6.2 Brovey transform (intensity modulation) 71 6.3 Smoothing filter‐based intensity modulation 71 6.4 Summary 75 6.5 Questions 75 7 Principal component analysis 77 7.1 Principle of the PCA 77 7.2 PC images and PC colour composition 79 7.3 Selective PCA for PC colour composition 82 7.4 De‐correlation stretch 84 7.5 Physical property orientated coordinate transformation and tasselled cap transformation 85 7.6 Statistical methods for band selection 87 7.7 Remarks 88 7.8 Questions 89 8 Image classification 91 8.1 Approaches of statistical classification 91 8.2 Unsupervised classification (iterative clustering) 92 8.3 Supervised classification 96 8.4 Decision rules: Dissimilarity functions 97 8.5 Post‐classification processing: Smoothing and accuracy assessment 98 8.6 Summary 101 8.7 Questions 101 9 Image geometric operations 103 9.1 Image geometric deformation 103 9.2 Polynomial deformation model and image warping co‐registration 106 9.3 GCP selection and automation of image co‐registration 109 9.3.1 Manual and semi‐automatic GCP 9.4 Summary 110 9.5 Questions 110 10 Introduction to interferometric synthetic aperture radar technique 113 10.1 The principle of a radar interferometer 113 10.2 Radar interferogram and DEM 115 10.3 Differential InSAR and deformation measurement 117 10.4 Multi‐temporal coherence image and random change detection 119 10.5 Spatial de‐correlation and ratio coherence technique 121 10.6 Fringe smoothing filter 123 10.7 Summary 124 10.8 Questions 125 11 Sub‐pixel technology and its applications 127 11.1 Phase correlation algorithm 127 11.2 PC scanning for pixel‐wise disparity estimation 132 11.3 Pixel‐wise image co‐registration 134 11.4 Very narrow‐baseline stereo matching and 3D data generation 139 11.5 Ground motion/deformation detection and estimation 143 11.6 Summary 146 Part II Geographical information systems 12 Geographical information systems 151 12.1 Introduction 151 12.2 Software tools 152 12.3 GIS, cartography and thematic mapping 152 12.4 Standards, inter‐operability and metadata 153 12.5 GIS and the internet 154 13 Data models and structures 155 13.1 Introducing spatial data in representing geographic features 155 13.2 How are spatial data different from other digital data? 155 13.3 Attributes and measurement scales 156 13.4 Fundamental data structures 156 13.5 Raster data 157 13.6 Vector data 161 13.7 Data conversion between models and structures 171 13.8 Summary 174 13.9 Questions 175 14 Defining a coordinate space 177 14.1 Introduction 177 14.2 Datums and projections 177 14.3 How coordinate information is stored and accessed 188 14.4 Selecting appropriate coordinate systems 189 14.5 Questions 189 15 Operations 191 15.1 Introducing operations on spatial data 191 15.2 Map algebra concepts 192 15.3 Local operations 194 15.4 Neighbourhood operations 199 15.5 Vector equivalents to raster map algebra 206 15.6 Automating GIS functions 209 15.7 Summary 209 15.8 Questions 210 16 Extracting information from point data: Geostatistics 211 16.1 Introduction 211 16.2 Understanding the data 211 16.2.1 Histograms 212 16.3 Interpolation 214 16.4 Summary 224 16.5 Questions 225 17 Representing and exploiting surfaces 227 17.1 Introduction 227 17.2 Sources and uses of surface data 227 17.3 Visualising surfaces 230 17.4 Extracting surface parameters 236 17.5 Summary 245 17.6 Questions 246 18 Decision support and uncertainty 247 18.1 Introduction 247 18.2 Decision support 247 18.3 Uncertainty 248 18.4 Risk and hazard 250 18.5 Dealing with uncertainty in GIS‐based spatial analysis 250 18.6 Summary 254 18.7 Questions 255 19 Complex problems and multi‐criterion evaluation 257 19.1 Introduction 257 19.2 Different approaches and models 258 19.3 Evaluation criteria 259 19.4 Deriving weighting coefficients 260 19.5 Multi‐criterion combination methods 263 19.6 Summary 272 19.7 Questions 272 Part III Remote sensing applications 20 Image processing and GIS operation strategy 275 20.1 General image processing strategy 276 20.2 Remote sensing‐based GIS projects: From images to thematic mapping 284 20.3 An example of thematic mapping based on optimal visualisation and interpretation of multi‐spectral satellite imagery 284 20.4 Summary 292 21 Thematic teaching case studies in SE Spain 293 21.1 Thematic information extraction (1): Gypsum natural outcrop mapping and quarry change assessment 293 21.2 Thematic information extraction (2): Spectral enhancement and mineral mapping of epithermal gold alteration and iron‐ore deposits in ferroan dolomite 299 21.3 Remote sensing and GIS: Evaluating vegetation and landuse change in the Nijar Basin, SE Spain 308 21.4 Applied remote sensing and GIS: A combined interpretive tool for regional tectonics, drainage and water resources in the Andarax basin 318 22 Research case studies 335 22.1 Vegetation change in the Three Parallel Rivers region, Yunnan Province, China 335 22.2 GIS modelling of earthquake damage zones using satellite imagery and digital elevation model (DEM) data 345 22.3 Predicting landslides using fuzzy geohazard mapping: An example from Piemonte, north‐west Italy 369 22.4 Land surface change detection in a desert area in Algeria using multi‐temporal ERS SAR coherence images 380 23 Industrial case studies 389 23.1 Multi‐criteria assessment of mineral prospectivity in SE Greenland 389 23.2 Water resource exploration in Somalia 405 Part IV Summary 24 Concluding remarks 419 24.1 Image processing 419 24.2 Geographic Information Systems 422 24.3 Final remarks 425 Appendix A Imaging sensor systems and remote sensing satellites 427 A.1 Multi‐spectral sensing 427 A.2 Broadband multi‐spectral sensors 431 A.2.1 Digital camera 431 A.2.2 Across‐track mechanical scanner 432 A.2.3 Along‐track push‐broom scanner 433 A.3 Thermal sensing and TIR sensors 434 A.4 Hyperspectral sensors (imaging spectrometers) 434 A.5 Passive microwave sensors 436 A.6 Active sensing: SAR imaging systems 437 Appendix B Online resources for information, software and data 441 B.1 Software – proprietary, low cost and free (shareware) 441 B.2 Information and technical information on standards, best practice, formats, techniques and various publications 441 B.3 Data sources including online satellite imagery from major suppliers, DEM data plus GIS maps and data of all kinds 442 References 443 Index 451

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Book SynopsisUrban Remote Sensing The second edition of Urban Remote Sensing is a state-of-the-art review of the latest progress in the subject. The text examines how evolving innovations in remote sensing allow to deliver the critical information on cities in a timely and cost-effective way to support various urban management activities and the scientific research on urban morphology, socio-environmental dynamics, and sustainability. Chapters are written by leading scholars from a variety of disciplines including remote sensing, GIS, geography, urban planning, environmental science, and sustainability science, with case studies predominately drawn from North America and Europe. A review of the essential and emerging research areas in urban remote sensing including sensors, techniques, and applications, especially some critical issues that are shifting thedirections in urban remote sensing research. Illustrated in full color throughout, including numerous relevaTable of ContentsList of Contributors ix Authors Biography xv Preface xxvii Part I Introduction 1 Progress in Urban Remote Sensing: An Overview 3 Xiaojun Yang Part II Sensors and Systems for Urban Areas 2 Examining Urban Built-up Volume: Three-Dimensional Analyses with Lidar and Radar Data 17 Adam J. Mathews and Son V. Nghiem 3 Opportunities and Challenges of Unmanned Aircraft Systems for Urban Applications 47 Feilin Lai, Austin Bush, Xiaojun Yang, and David Merrick 4 Methods of Social Sensing for Urban Studies 71 Yu Liu, Song Gao, Yihong Yuan, Fan Zhang, Chaogui Kang, Yuhao Kang, and Keli Wang 5 Urban Remote Sensing Using Ground-Based Street View Images 91 Xiaojiang Li 6 Spatial Distribution of City Tweets and Their Densities 115 Bin Jiang, Ding Ma, Junjun Yin, and Mats Sandberg 7 Integrating Remote Sensing and Social Sensing to Examine Socioeconomic Dynamics: A Case Study of Twitter and Nighttime Light Imagery 131 Guofeng Cao and Naizhuo Zhao Part III Algorithms and Techniques for Urban Attribute Extraction 8 Deep Learning for Urban and Landscape Mapping from Remotely Sensed Imagery 153 Feilin Lai, Atharva Sharma, Xiuwen Liu, and Xiaojun Yang 9 Google Earth Engine Advancing Urban Land Change Science 175 Le Wang, Dameng Yin, Jinyan Tian, and Ying Lu 10 Use of Image Endmember Libraries for Multi-Sensor, Multi-Scale, and Multi-Site Mapping of Urban Areas 189 Frank Canters, Sam Cooper, Jeroen Degerickx, Uta Heiden, Marianne Jilge, Akpona Okujeni, Frederik Priem, Ben Somers, and Sebastian van der Linden 11 Satellite Monitoring of Urbanization and Environmental Impacts in Stockholm, Sweden, Through a Multiscale Approach 217 Dorothy Furberg and Yifang Ban Part IV Urban Socioeconomic Applications 12 Global Monitoring with the Atlas of Urban Expansion 247 Alejandro Blei and Shlomo Angel 13 Effect of Image Classification Accuracy on Dasymetric Population Estimation 283 Jacob McKee and Eric Weber 14 Mapping the Morphology of Urban Deprivation: The Role of Remote Sensing for Developing a Global Slum Repository 305 Monika Kuffer, Taïs Grippa, Claudio Persello, Hannes Taubenböck, Karin Pfeffer, and Richard Sliuzas 15 The City is the Medium and Satellite Imagery Are a Prism: Conceptualizing Urban Conflict Damage Monitoring with Multitemporal Remote Sensing Data 325 Jamon Van Den Hoek Part V Urban Environmental Applications 16 US Cities in the Dark: Mapping Man-Made Carbon Dioxide Emissions Over the Contiguous US Using NASA’s Black Marble Nighttime Lights Product 337 Tomohiro Oda, Miguel O. Román, Zhuosen Wang, Eleanor C. Stokes, Qingsong Sun, Ranjay M. Shrestha, Sha Feng, Thomas Lauvaux, Rostyslav Bun, Shamil Maksyutov, Srija Chakraborty, Ian Paynter, and Virginia L. Kalb 17 Thermal Infrared Imaging of the Urban Landscape to Understand Urban Microclimate 369 Jinxin Yang, Massimo Menenti, Man S. Wong, Zhifeng Wu, Xiaoying Ouyang, Yong Xu, and Sawaid Abbas 18 Monitoring Air Pollution in the Urban Environment by Remote Sensing 391 Alexandra A. Chudnovsky 19 Characterizing After-Rain Standing Waters in Urban Built Environments Through a Multilevel Image Analysis 423 Tzai-Hung Wen, Hao-Yu Liao, Kai-Ling Yang, and Tzu-Hsin Karen Chen 20 Remote Sensing and Urban Green Infrastructure: A Synthesis of Current Applications and New Advances 447 Yanhua Chen, Giovanni Sanesi, Xun Li, Wendy Y. Chen, and Raffaele Lafortezza 21 Remote Sensing for Urban Sustainability Research and Sustainable Development Goals: Green Space, Public Recreation Space, and Urban Climate 469 Arthur Lehner and Thomas Blaschke Index 495

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Book SynopsisSensing Technologies for Real Time Monitoring of Water Quality A comprehensive guide to the development and application of smart sensing technologies for water quality monitoring With contributions from a panel of experts on the topic, Sensing Technologies for Real Time Monitoring of Water Quality offers an authoritative resource that explores a complete set of sensing technologies designed to monitor, in real-time, water quality including agriculture. The contributing authors explore the fundamentals of sensing technologies and review the most recent advances of various materials and sensors for water quality??monitoring. This comprehensive resource includes information on a range of designs of smart electronics, communication systems, packaging, and innovative implementation approaches used for remote monitoring of water quality in various atmospheres. The book explores a variety of techniques for online water quality monitoring including internet of Things (IoT), communication systTable of ContentsAbout the Editors xiii List of Contributors xv Preface xix Section I Materials and Sensors Development Including Case Study 1 1 Smart Sensors for Monitoring pH, Dissolved Oxygen, Electrical Conductivity, and Temperature in Water 3 Kiranmai Uppuluri 1.1 Introduction 3 1.2 Water Quality Parameters and Their Importance 4 1.2.1 Impact of pH on Water Quality 4 1.2.2 Impact of Dissolved Oxygen on Water Quality 5 1.2.3 Impact of Electrical Conductivity on Water Quality 5 1.2.4 Impact of Temperature on Water Quality 5 1.3 Water Quality Sensors 6 1.3.1 pH 7 1.3.1.1 pH Sensors: Principles, Materials, and Designs 7 1.3.1.2 Glass Electrode 7 1.3.1.3 Solid- State Ion- Selective Electrodes 8 1.3.1.4 Metal Oxide pH Sensors 8 1.3.2 Dissolved Oxygen 10 1.3.2.1 DO Sensors: Principles, Materials, and Designs 10 1.3.2.2 Chemical Sensors 10 1.3.2.3 Electrochemical Sensors 11 1.3.2.4 Optical or Photochemical Sensors 12 1.3.3 Electrical Conductivity 13 1.3.3.1 Conductivity Sensors: Principles, Materials, and Designs 13 1.3.4 Temperature 15 1.3.4.1 Temperature Sensors: Principles, Materials, and Designs 16 1.3.4.2 Thermocouples 17 1.3.4.3 Resistance Temperature Detector 17 1.3.4.4 Thermistor 17 1.3.4.5 Integrated Circuit 18 1.4 Smart Sensors 18 1.5 Conclusion 18 Acknowledgment 19 References 19 2 Dissolved Heavy Metal Ions Monitoring Sensors for Water Quality Analysis 25 Tarun Narayan, Pierre Lovera, and Alan O’Riordan 2.1 Introduction 25 2.2 Sources and Effects of Heavy Metals 26 2.3 Detection Techniques 26 2.3.1 Analytical Detection: Conventional Detection Techniques of Heavy Metals 26 2.3.2 Electrochemical Detection Techniques of Heavy Metals 26 2.3.2.1 Nanomaterial- Modified Electrodes 29 2.3.2.2 Metal Nanoparticle- Based Modification 29 2.3.2.3 Metal Oxide Nanoparticle- Based Modification 33 2.3.2.4 Carbon Nanomaterials- Based Modification 34 2.3.3 Biomolecules Modification for Heavy Metal Detection 35 2.3.3.1 Antibody- Based Detection 35 2.3.3.2 Nucleic Acid- Based Detection 37 2.3.3.3 Cell- Based Sensor 38 2.4 Future Direction 40 2.5 Conclusions 40 Acknowledgment 41 References 42 3 Ammonia, Nitrate, and Urea Sensors in Aquatic Environments 51 Fabiane Fantinelli Franco 3.1 Introduction 51 3.2 Detection Techniques for Ammonia, Nitrate, and Urea in Water 53 3.2.1 Spectrophotometry 53 3.2.2 Fluorometry 54 3.2.3 Electrochemical Sensors 54 3.3 Ammonia 59 3.3.1 Ammonia in Aquatic Environments 59 3.3.2 Ammonia Detection Techniques 62 3.4 Nitrate 65 3.4.1 Nitrate in Aquatic Environments 65 3.4.2 Nitrate Detection Techniques 65 3.5 Urea 67 3.5.1 Urea in Aquatic Environment 67 3.5.2 Urea Detection Techniques 69 3.6 Conclusion and Future Perspectives 71 Acknowledgment 71 References 71 4 Monitoring of Pesticides Presence in Aqueous Environment 77 Yuqing Yang, Pierre Lovera, and Alan O’Riordan 4.1 Introduction: Background on Pesticides 77 4.1.1 Types and Properties 77 4.1.2 Risks 78 4.1.3 Regulation and Legislation 79 4.1.4 Occurrence of Pesticide Exceedance 80 4.2 Current Pesticides Detection Methods 80 4.2.1 Detection of Pesticides Based on Electrochemical Methods 82 4.2.1.1 Brief Overview of Electrochemical Methods 82 4.2.1.2 Detection of Pesticides by Electrochemistry 82 4.2.2 Detection of Pesticides Based on Optical Methods 83 4.2.2.1 Detection of Pesticides Based on Fluorescence 87 4.2.3 Detection of Pesticides Based on Raman Spectroscopy 89 4.2.3.1 Introduction to SERS 89 4.2.3.2 Fabrication of SERS Substrates 91 4.2.3.3 Detection of Pesticide by SERS 92 4.2.3.4 Challenges and Future Perspectives 95 4.3 Conclusion 96 Acknowledgment 96 References 96 5 Waterborne Bacteria Detection Based on Electrochemical Transducer 107 Nasrin Razmi, Magnus Willander, and Omer Nur 5.1 Introduction 107 5.2 Typical Waterborne Pathogens 108 5.3 Traditional Diagnostic Tools 108 5.4 Biosensors for Bacteria Detection in Water 110 5.4.1 Common Bioreceptors for Electrochemical Sensing of Foodborne and Waterborne Pathogenic Bacteria 110 5.4.1.1 Antibodies 111 5.4.1.2 Enzymes 111 5.4.1.3 DNA and Aptamers 111 5.4.1.4 Phages 112 5.4.1.5 Cell and Molecularly Imprinted Polymers 112 5.4.2 Nanomaterials for Electrochemical Sensing of Waterborne Pathogenic Bacteria 112 5.4.2.1 Metal and Metal Oxide Nanoparticles 113 5.4.2.2 Conducting Polymeric Nanoparticles 114 5.4.2.3 Carbon Nanomaterials 114 5.4.2.4 Silica Nanoparticles 114 5.5 Various Electrochemical Biosensors Available for Pathogenic Bacteria Detection in Water 115 5.5.1 Amperometric Detection 115 5.5.2 Impedimetric Detection 121 5.5.3 Conductometric Detection 123 5.5.4 Potentiometric Detection 124 5.6 Conclusion and Future Prospective 126 Acknowledgment 127 References 127 6 Zinc Oxide- Based Miniature Sensor Networks for Continuous Monitoring of Aqueous pH in Smart Agriculture 139 Akshaya Kumar Aliyana, Aiswarya Baburaj, Naveen Kumar S. K., and Renny Edwin Fernandez 6.1 Introduction 139 6.2 Metal Oxide- Based Sensors and Detection Methods 140 6.3 pH Sensor Fabrication 141 6.3.1 Detection of pH: Materials and Method 141 6.3.2 Detection of pH: Surface Morphology of the Nanostructured ZnO and IDEs 144 6.3.3 Detection of pH: Electrochemical Sensing Performance 145 6.3.4 Detection of Real- Time pH Level in Smart Agriculture: Wireless Sensor Networks and Embedded System 149 6.4 Conclusion 151 Acknowledgment 152 References 152 Section II Readout Electronic and Packaging 161 7 Integration and Packaging for Water Monitoring Systems 163 Muhammad Hassan Malik and Ali Roshanghias 7.1 Introduction 163 7.2 Advanced Water Quality Monitoring Systems 167 7.2.1 Multi- sensing on a Single Chip 167 7.2.2 Heterogeneous Integration 169 7.2.3 Case Study: MoboSens 169 7.3 Basics of Packaging 171 7.4 Hybrid Flexible Packaging 173 7.4.1 Interconnects 174 7.4.2 Thin Die Embedding 176 7.4.3 Encapsulation and Hermeticity 178 7.4.4 Roll to Roll Assembly 180 7.5 Conclusion 181 References 181 8 A Survey on Transmit and Receive Circuits in Underwater Communication for Sensor Nodes 185 Noushin Ghaderi and Leandro Lorenzelli 8.1 Introduction 185 8.2 Sensor Networks in an Underwater Environment 186 8.2.1 Acoustic Sensor Network 186 8.2.1.1 Energy Sink- Hole Problem 187 8.2.1.2 Acoustic Sensor Design Problems 188 8.2.1.3 The Underwater Transducer 189 8.2.1.4 Amplifier Design 190 8.2.1.5 Analog- to- Digital Converter 194 8.2.2 Electromagnetic (EM) Waves Underwater Sensors 197 8.2.2.1 Antenna Design 198 8.2.2.2 Multipath Propagation 198 8.3 Conclusion 199 Acknowledgment 199 References 200 Section III Sensing Data Assessment and Deployment Including Extreme Environment and Advanced Pollutants 203 9 An Introduction to Microplastics, and Its Sampling Processes and Assessment Techniques 205 Bappa Mitra, Andrea Adami, Ravinder Dahiya, and Leandro Lorenzelli 9.1 Introduction 205 9.1.1 Properties of Microplastics 208 9.1.2 Microplastics in Food Chain 209 9.1.3 Human Consumption of Microplastics and Possible Health Effects 209 9.1.4 Overview 210 9.2 Microplastic Sampling Tools 212 9.2.1 Non- Discrete Sampling Devices 212 9.2.1.1 Nets 212 9.2.1.2 Pump Tools 213 9.2.2 Discrete Sampling Devices 215 9.2.3 Surface Microlayer Sampling Devices 215 9.3 Microplastics Separation 215 9.3.1 Separating Microplastics from Liquid Samples 215 9.3.1.1 Filtration 215 9.3.1.2 Sieving 216 9.3.2 Separating Microplastics from Sediments 218 9.3.2.1 Density Separation 218 9.3.2.2 Elutriation 218 9.3.2.3 Froth Floatation 219 9.4 Microplastic Sample Digestion Process 220 9.4.1 Acidic Digestion 221 9.4.2 Alkaline Digestion 221 9.4.3 Oxidizing Digestion 221 9.4.4 Enzymatic Degradation 222 9.5 Microplastic Identification and Classification 222 9.5.1 Visual Counting 222 9.5.2 Fluorescence 223 9.5.3 Destructive Analysis 223 9.5.3.1 Thermoanalytical Methods 224 9.5.3.2 High- Performance Liquid Chromatography 225 9.5.4 Nondestructive Analysis 225 9.5.4.1 Fourier Transform Infrared Spectroscopy 225 9.5.4.2 Raman Spectroscopy 226 9.6 Conclusions 228 Acknowledgment 229 References 229 10 Advancements in Drone Applications for Water Quality Monitoring and the Need for Multispectral and Multi- Sensor Approaches 235 Joao L. E. Simon, Robert J. W. Brewin, Peter E. Land, and Jamie D. Shutler 10.1 Introduction 235 10.2 Airborne Drones for Environmental Remote Sensing 237 10.3 Drone Multispectral Remote Sensing 239 10.4 Integrating Multiple Complementary Sensor Strategies with a Single Drone 241 10.5 Conclusion 242 Acknowledgment 243 References 243 11 Sensors for Water Quality Assessment in Extreme Environmental Conditions 253 Priyanka Ganguly 11.1 Introduction 253 11.2 Physical Parameters 255 11.2.1 Electrical Conductivity 255 11.2.2 Temperature 258 11.2.3 Pressure 260 11.3 Chemical Parameters 262 11.3.1 pH 262 11.3.2 Dissolved Oxygen and Chemical Oxygen Demand 265 11.3.3 Inorganic Content 268 11.4 Biological Parameters 271 11.5 Sensing in Extreme Water Environments 273 11.6 Discussion and Outlook 276 11.7 Conclusion 278 References 278 Section IV Sensing Data Analysis and Internet of Things with a Case Study 283 12 Toward Real- Time Water Quality Monitoring Using Wireless Sensor Networks 285 Sohail Sarang, Goran M. Stojanović, and Stevan Stankovski 12.1 Introduction 285 12.2 Water Quality Monitoring Systems 286 12.2.1 Laboratory- Based WQM (LB- WQM) 286 12.2.2 Wireless Sensor Networks- Based WQM (WSNs- WQM) 287 12.2.2.1 Solar- Powered Water Quality Monitoring 289 12.2.2.2 Battery- Powered Water Quality Monitoring 291 12.3 The Use of Industry 4.0 Technologies for Real- Time WQM 296 12.4 Conclusion 297 References 298 13 An Internet of Things- Enabled System for Monitoring Multiple Water Quality Parameters 305 Fowzia Akhter, H. R. Siddiquei, Md. E. E. Alahi, and S. C. Mukhopadhyay 13.1 Introduction 305 13.2 Water Quality Parameters and Related Sensors 306 13.3 Design and Fabrication of the Proposed Sensor 310 13.3.1 Sensor’s Working Principle 312 13.4 Experimental Process 312 13.5 Autonomous System Development 313 13.5.1 Algorithm for Data Classification 315 13.6 Experimental Results 318 13.6.1 Sensor Characterization for Temperature, pH, Nitrate, Phosphate, Calcium, and Magnesium Measurement 319 13.6.2 Repeatability 323 13.6.3 Reproducibility 325 13.6.4 Real Sample Measurement and Validation 327 13.6.5 Data Collection 330 13.6.6 Power Consumption 330 13.7 Conclusion 333 Acknowledgment 333 References 333 Index 339

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Book Synopsis* Takes readers step--by--step through the key stages of a GPS fieldwork project. * Explains complex background topics in clear, easy--to--understand language. * Provides simple guidelines for GPS equipment selection. * Provides practical solutions for real GPS data collection issues.Trade Review"An invaluable resource for social, economic or health researchers and practitioners who want to add a geographic component to their work." (Uwe Deichmann, Development Research Group, World Bank) "This information will help users collect data at an appropriate level of accuracy in the most effcient manner. This nuts-and-bolts approach addresses such topics as training field-workers; creating equipment checklists; logistics; and safety in the field." (ArcUser, October - December 2004) "An excellent introduction and field guide on GPS for the social sciences ... The book makes a valuable addition to any reference collection on geographical research." (Singapore Journal of Tropical Geography)Table of ContentsList of Figures. List of Tables. Acknowledgements. 1. Introduction. Part I: Understanding GPS. 2. Why Use GPS?. 3. What Is GPS?. 4. Coordinate Systems And Datums. 5. GPS Considerations: Getting Started. Part II: Utilizing GPS. 6. Developing A GPS Project. 7. Project Fundamentals. 8. Fieldwork Planning And Preparations: Data And Methods. 9. Fieldwork Planning And Preparations: Field Resources. 10. Fieldwork Planning And Preparations: Data Quality And Logistics. 11. Transitioning To Fieldwork. 12. Post-Fieldwork Processing. 13. Utilizing GPS Data Within Geographic Information Systems. 14. Conclusion. References Cited. Appendix A: GPS Manufacturers. Appendix B: Sample Field Instrument. Appendix C: UTM Zones. Index.

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Book SynopsisThis book provides the reader a broad grounding in the science of Earth Observation (EO) of our changing planet. It contains a comprehensive sequenced discussion covering the significant themes of global change, their cause, and how they can be monitored through time.Trade Review"...the book provides a useful text and reference source for information on remote sensing of the Earth's surface for the study of global environmental change...the book's strengths include the comprehensive material presented in the chapters on remote sensing of the land, oceans and coastal regions, which are areas of expertise for the authors. For this reason alone it is a valuable addition to the bookshelf of any student of remote sensing." (Bulletin of the American Meteorological Society, June 2013) “An exciting and informative book to read and a pleasure to review, this work constitutes a generalist’s dream. . . By that virtue, this book should also appeal to the informed public at large.” (Photogrammetric Engineering & Remote Sensing, 1 October 2012) "A comprehensive and accessible introduction to remote-sensing applications within the area of global environmental monitoring and should represent a welcome addition to the bookshelves of many university libraries, for undergraduate and postgraduate students, and non-specialists with an interest in applying remotely sensed data." (Rachel Gaulton, January 2013, International Journal of Remote Sensing, 34:2, 751-752) "This is an extremely valuable bock for educators and students alike, serving as a quick, high level, and accurate reference source for the basics, while offering current and solid examples of applications and results." (Demetrio Zourarakis, Photogrammatic Engineering & Remote Sensing, October 2012) “I would recommend this book to those unfamiliar with remote-sensing methods and applications and to others who want to see how these techniques can be applied to global environmental change.” (The Leading Edge, 1 May 2012) "I highly recommend the well explained and invaluable reference book Remote Sensing and Global Environmental Change by Samuel J. Purkis and Victor V. Klemas, to any students, professionals, and policy makers who are seeking a comprehensive and well presented approach to the application of remote sensing technology to global environmental change. This book will enhance and enrich your understanding of remote sensing, and of its accompanying technologies and environmental applications." (Blog Business World, 22 October 2011)Table of ContentsPreface. Acknowledgements. 1 Introduction. 1.1 Key concepts. 2 Remote sensing basics. 2.1 Electromagnetic waves. 2.2 The electromagnetic spectrum. 2.3 Reflectance and radiance. 2.4 Atmospheric effects. 2.5 Multispectral feature recognition. 2.6 Resolution requirements. 2.7 Key concepts. 3 Remote sensors and systems. 3.1 Introduction. 3.2 Remote sensors. 3.2.1 Multispectral satellite sensors. 3.2.2 Digital aerial cameras. 3.2.3 Thermal infrared sensors. 3.2.4 Radar and microwave radiometers. 3.2.5 Laser profilers. 3.3 Remote sensing platforms. 3.3.1 Airborne platforms. 3.3.2 Medium-resolution satellites. 3.3.3 High-resolution satellites. 3.3.4 Global observation satellites. 3.4 The NASA Earth observing system. 3.5 Global Earth observation systems. 3.5.1 Global Climate Observing System. 3.5.2 Global Earth Observation System of Systems. 3.5.3 Integrated Ocean Observing System. 3.6 Existing image archives. 3.7 Key concepts. 4 Digital image analysis. 4.1 Image data format. 4.2 Image pre-processing. 4.3 Image enhancement and interpretation. 4.4 Image classification. 4.5 Image band selection. 4.6 Error assessment. 4.7 Time-series analysis and change detection. 4.8 Field sampling using GPS. 4.9 Use of Geographic Information Systems. 4.10 Key concepts. 5 Monitoring changes in global vegetation cover. 5.1 EM spectrum of vegetation. 5.2 Vegetation indices. 5.3 Biophysical properties and processes of vegetation. 5.4 Classification systems. 5.5 Global vegetation and land cover mapping programmes. 5.5.1 NASA Pathfinder global monitoring project. 5.5.2 International geosphere-biosphere program. 5.5.3 Application of new satellites and radar. 5.6 Remote sensing of vegetation as a monitor for global change. CASE STUDY: Desertification in the African Sahel. CASE STUDY: Deforestation of Amazonia. 5.7 Remote sensing of wetlands change. 5.8 Fire detection. 5.9 Key concepts. 6 Remote sensing of urban environments. 6.1 Urbanization. 6.2 Urban remote sensing. 6.2.1 Three-dimensional urban model generation. 6.2.2 Stereo imaging. 6.2.3 LiDAR. 6.2.4 Synthetic Aperture Radar (SAR). 6.3 Microwave sensing of subsidence. 6.4 Textural metrics. 6.5 Monitoring city growth. 6.6 Assessing the ecology of cities. 6.7 Urban climatology. 6.8 Air quality and air pollution. 6.9 Climate change as a threat to urbanization. 6.10 Key concepts. 7 Surface and ground water resources. 7.1 Remote sensing of inland water quality. 7.2 Remote sensing sediment load and pollution of inland waters. 7.3 Remote sensing non-coastal flooding. 7.4 Bathymetry of inland waters. 7.5 Mapping watersheds at the regional scale. 7.6 Remote sensing of land surface moisture. 7.7 Remote sensing of groundwater. 7.8 Key concepts. 8 Coral reefs, carbon and climate. 8.1 Introduction. 8.2 The status of the world's reefs. 8.3 Remote sensing of coral reefs. 8.4 Light, corals and water. 8.4.1 Light and the water surface. 8.4.2 Light and the water body. 8.4.3 Reflectance models for optically shallow waters. 8.4.4 Reflectance signatures of reef substrata. 8.5 Passive optical sensing. 8.6 Sensor-down versus reef-up sensing. 8.7 Spectral unmixing. 8.8 Image-derived bathymetry. 8.9 LiDAR. 8.10 Sonar. 8.11 Sub-bottom acoustic profiling. 8.12 Radar applications. 8.13 Class assemblages and the minimum mapping unit. 8.14 Change detection. 8.15 Key concepts. 9 Coastal impact of storm surges and sea level rise. 9.1 Predicting and monitoring coastal flooding. 9.2 Coastal currents and waves. 9.3 Mapping beach topography. 9.4 LiDAR bathymetry. CASE STUDY: LiDAR application to modelling sea level rise at the Blackwater National Wildlife Refuge. 9.5 Key concepts. 10 Observing the oceans. 10.1 Introduction. 10.2 Ocean colour, chlorophyll and productivity. 10.3 Hazardous algal blooms and other pollutants. 10.4 Sea surface temperature. CASE STUDY: Upwelling and El Niño. 10.5 Ocean salinity. 10.6 Physical ocean features. 10.6.1 Sea surface elevation and ocean currents. 10.6.2 Sea surface winds. 10.6.3 Ocean waves. 10.6.4 Oil slicks and other surface features. 10.7 Ocean observing systems. 10.8 Marine GIS. 10.9 Key concepts. 11 Monitoring Earth's atmosphere. 11.1 The status of Earth's atmosphere. 11.2 Atmospheric remote sensing. 11.3 The 'A- Train' satellite constellation. 11.3.1 Dancing on the A- Train. 11.4 Remote sensing atmospheric temperature. 11.5 Atmospheric remote sensing of ozone. 11.6 Atmospheric remote sensing of carbon dioxide. 11.7 Remote sensing atmospheric dust. CASE STUDY: Spaceborne monitoring of African dust events. 11.8 Clouds. 11.9 Forecasting Earth's atmosphere. 11.10 Atmospheric models and reality. 11.11 Hurricanes. CASE STUDY: Hurricane Katrina. 11.12 Key concepts. 12 Observing the cryosphere. 12.1 Introduction. 12.2 The history and status of the polar ice sheets. 12.3 Ice and sea level. 12.4 Ice and climate. 12.5 Present ice loss in context. 12.6 Remote sensing of the Earth's ice sheets. 12.6.1 Passive optical and thermal remote sensing. 12.6.2 Passive microwave remote sensing. 12.6.3 Active microwave remote sensing. 12.6.4 Active optical remote sensing – ICESat. 12.7 Ice sheet mass balance. CASE STUDY: Disintegration of the Larsen and Wilkins ice shelves. 12.8 Remote sensing permafrost. 12.9 Key concepts. 13 Effective communication of global change information using remote sensing. 13.1 Global environmental change as an interdisciplinary issue. 13.2 Effective communication through accessibility of data. 14 Looking ahead: future developments. 14.1 Emerging technologies. 14.1.1 Fusion in remote sensing. 14.1.2 Hyper-spatial satellites. 14.1.3 Hyperspectral hyper-spatial satellites. 14.2 The near future. 14.3 The more distant future. 14.4 Advanced image analysis techniques. 14.5 Looking ahead at a changing Earth. References. Index.

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Book SynopsisThe iPhone and iPad allow user positioning via multiple methods, including GPS. This book walks you through the basic tools you need to build geo-aware applications before diving into the available third-party geo-SDKs available for the iOS platform.

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Book SynopsisOffers a practical state-of-the-field overview of big data as both a means and an object of research, with essays from prominent and emerging scholars. Part 1 explores how the advent of geoweb technologies and big data sets has influenced some of geography's major subdisciplines. Part 2 addresses how the geographic study of big data has implications for other disciplinary fields.Trade Review"In recent years, big data has been frequently touted as the new reality in research, business, and nearly everything else. This work examines the promise and realities of big data specifically as it relates to geographically referenced information."—J. Cummings, Choice“The drumbeat of ‘big data’ is reorganizing everyday life, for some. This important collection takes the pulse of this hype from the perspective of the discipline of geography, pursuing questions that highlight the peculiarities of this location-based, techno-cultural moment.”—Matthew W. Wilson, associate professor of geography at the University of Kentucky “This collection is a key step along the road from hyperbole to engagement with regard to the significance and impacts of big spatial data. It offers key insights into big spatial data as both means and object of researcher, tracing the socio-spatial and epistemological possibilities and limits of this dynamic phenomenon.”—Sarah Elwood, professor of geography at the University of Washington “Thinking Big Data in Geography delivers vital theoretical and empirical perspectives on the problems and possibilities of spatialized data in both extraordinary circumstances and everyday life.”—Craig Dalton, assistant professor of global studies and geography at Hofstra UniversityTable of ContentsList of Illustrations List of Tables Introduction Jim Thatcher, Andrew Shears, and Josef Eckert Part 1. What Is Big Data and What Does It Mean to Study It? 1. Toward Critical Data Studies: Charting and Unpacking Data Assemblages and Their Work Rob Kitchin and Tracey P. Lauriault 2. Big Data: Why (Oh Why?) This Computational Social Science? David O’Sullivan Part 2. Methods and Praxis in Big Data Research 3. Smaller and Slower Data in an Era of Big Data Renee Sieber and Matthew Tenney 4. Reflexivity, Positionality, and Rigor in the Context of Big Data Research Britta Ricker Part 3. Empirical Interventions 5. A Hybrid Approach to Geotweets: Reading and Mapping Tweet Contexts on Marijuana Legalization and Same-Sex Marriage in Seattle, Washington Jin-Kyu Jung and Jungyeop Shin 6. Geosocial Footprints and Geoprivacy Concerns Christopher D. Weidemann, Jennifer N. Swift, and Karen K. Kemp 7. Foursquare in the City of Fountains: Using Kansas City as a Case Study for Combining Demographic and Social Media Data Emily Fekete Part 4. Urban Big Data: Urban-Centric and Uneven 8. Big City, Big Data: Four Vignettes Jessa Lingel 9. Framing Digital Exclusion in Technologically Mediated Urban Spaces Matthew Kelley Part 5. Talking across Borders 10. Bringing the Big Data of Climate Change Down to Human Scale: Citizen Sensors and Personalized Visualizations in Climate Communication David Retchless 11. Synergizing Geoweb and Digital Humanitarian Research Ryan Burns Part 6. Conclusions 12. Rethinking the Geoweb and Big Data: Future Research Directions Mark Graham Bibliography List of Contributors Index

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Book SynopsisBy synthesizing scholarly work at the intersection of political ecology, digital geography, and science and technology studies, The Nature of Data analyzes how new digital technologies affect environments and their control.Trade Review"This book is a necessary piece to lay the groundwork for a political ecology of data and urge more research in this direction. . . . A welcome integration of digital social sciences, political ecology, critical GIS, and science and technology studies, and as such which will be of interest to scholars across these fields, but also to conservation practitioners. This collection of essays might also be useful as a methodological text for advanced graduate students."—Anne-Lise Boyer, H-Environment"Thanks to insights from ecomedia studies, environmental humanists are increasingly studying how the environment becomes digital and the digital becomes environmental. The Nature of Data ably contributes to this research."—Heather Houser, ISLE“Data may not grow on trees, but it increasingly shapes how humans know, govern, and struggle over forests—and indeed, much of the nonhuman world. The Nature of Data captures this moment empirically while advancing political ecology conceptually. An altogether stellar volume.”—Susanne Freidberg, author of Fresh: A Perishable History“In accelerating ways, environmental politics are data politics. This powerful book shows what this looks like in different settings and at different scales, persuasively calling for a new subfield focused on the political ecology of data. Extending from prior work on the delimitations and politics of environmental science, the collection draws out what environmental data can help us see, what it cuts out, and how environmental data production itself is both polluting and weighted by commercial interests.”—Kim Fortun, author of Advocacy after Bhopal: Environmentalism, Disaster, New Global Orders“This is an original, diverse, and scintillating collection. Researchers working on political ecology of conservation and conservation social science have not taken challenges of data justice or the political economy of data production seriously enough. We must—and this book shows us how and why.”—Dan Brockington, author of Celebrity Advocacy and International Development“As environments are reverse engineered to match the spreadsheets and management platforms in which they are tallied, the environmental politics of data control, organization, and proliferation will hugely influence ecologies and politics going forward. By putting that insight front and center, Goldstein and Nost assemble a sweeping set of essays that gaze into the sometimes-disturbing future of the planet.”—Paul Robbins, author of Political Ecology: A Critical Introduction“This volume contributes to the growing discourses around political ecological work on data and the infrastructures that sustain, produce, and exchange them. The volume is startling in both its depth and breadth of engagement with timely and important topics; it marks a significant contribution to a growing field.”—Jim Thatcher, author of Thinking Big Data in Geography: New Regimes, New Research“Throughout, the reader is plunged into the complexities of digital systems, the environments they monitor and conserve, and the limits to their governance and oversight across a variety of places and scales and sovereignties. What emerges is resolutely not an endorsement of further digitalization of nature but a recognition that digitalization is perhaps yet another set of processes in which nature is actively produced.”—Matthew W. Wilson, author of New Lines: Critical GIS and the Trouble of the MapTable of ContentsList of Illustrations List of Tables Introduction: Infrastructuring Environmental Data Jenny Goldstein and Eric Nost Part 1. Sensors, Servers, and Structures 1. Data’s Metropolis: The Physical Footprints of Data Circulation and Modern Finance Graham Pickren 2. An Emerging Satellite Ecosystem and the Changing Political Economy of Remote Sensing Luis F. Alvarez León 3. Smart Earth: Environmental Governance in a Wired World Karen Bakker and Max Ritts 4. Data, Colonialism, and the Transformation of Nature in the Pacific Northwest Anthony Levenda and Zbigniew Grabowski Part 2. Civic Science and Community-Driven Data 5. Environmental Sensing Infrastructures and Just Good Enough Data Jennifer Gabrys and Helen Pritchard 6. Collaborative Modeling as Sociotechnical Data Infrastructure in Rural Zimbabwe M. V. Eitzel, Jon Solera, K. B. Wilson, Abraham Mawere Ndlovu, Emmanuel Mhike Hove, Daniel Ndlovu, Abraham Changarara, Alice Ndlovu, Kleber Neves, Adnomore Chirindira, Oluwasola E. Omoju, Aaron C. Fisher, and André Veski 7. Citizen Scientists and Conservation in the Anthropocene: From Monitoring to Making Coral Irus Braverman 8. Data Infrastructures, Indigenous Knowledge, and Environmental Observing in the Arctic Noor Johnson, Colleen Strawhacker, and Peter Pulsifer 9. Digital Infrastructure and the Affective Nature of Value in Belize Patrick Gallagher 10. Infrastructuring Environmental Data Justice Dawn Walker, Eric Nost, Aaron Lemelin, Rebecca Lave, Lindsey Dillon, and Environmental Data and Governance Initiative (EDGI) Part 3. Governing Data, Infrastructuring Land and Resources 11. “A Poverty of Data”? Exporting the Digital Revolution to Farmers in the Global South Madeleine Fairbairn and Zenia Kish 12. Illicit Digital Environments: Monitoring and Surveilling Environmental Crime in Southeast Asia Hilary O. Faxon and Jenny Goldstein 13. Data Gaps: Penguin Science and Petrostate Formation in the Falkland Islands (Malvinas) James J. A. Blair 14. Data Structures, Indigenous Ontologies, and Hydropower in the U.S. Northwest Corrine Armistead 15. How Forest Became Data: The Remaking of Ground-Truth in Indonesia Cindy Lin Conclusion: Toward a Political Ecology of Data Rebecca Lave, Eric Nost, and Jenny Goldstein Source Acknowledgments Contributors Index

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Book SynopsisIn this new edition of an SPIE bestseller, R. C. Olsen examines the definition and uses of remote sensing from a military perspective. The book discusses the instruments and principles that support a wide range of systems, including optical, thermal, radar, and LiDAR. Full-color images, as well as detailed examples and problems sets, make this a valuable textbook for students and engineers alike.

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Book SynopsisOur four volumes propose to present innovative thematic applications implemented using the open source software QGIS. These are applications that use remote sensing over continental surfaces. The four volumes detail applications of remote sensing over continental surfaces, with a first one discussing applications for agriculture. A second one presents applications for forest, a third presents applications for the continental hydrology, and finally the last volume details applications for environment and risk issues.Table of ContentsIntroduction xi Chapter 1. Monitoring Coastal Bathymetry Using Multispectral Satellite Images at High Spatial Resolution 1Bertrand LUBAC 1.1. Definition, context and objective 1 1.2. Description of the methodology 3 1.2.1. Step 1: selection and preprocessing of MSI images 5 1.2.2. Step 2: calibration of the bathymetry inversion model 7 1.2.3. Step 3: preparation and application of the masks 8 1.2.4. Step 4: characterization of the morphological evolution of the main sedimentary structures 9 1.3. Practical application 10 1.3.1. Software and data 10 1.3.2. Step 1: extraction of the region of interest and preprocessing 13 1.3.3. Step 2: calculation of bathymetry 20 1.3.4. Step 3: preparation and application of masks 25 1.3.5. Step 4: characterization of the morphological evolution of the main submarine sedimentary structures 31 1.4. Bibliography 33 Chapter 2. Contribution of the Integrated Topo-bathymetric Model for Coastal Wetland Evolution: Case of Geomorphologic and Biological Evolution of Ichkeul Marshes (North Tunisia) 35Zeineb KASSOUK, Zohra LILI-CHABAANE, Benoit DEFFONTAINES, Mohammad EL HAJJ and Nicolas BAGHDADI 2.1. Coastal wetland dynamic 35 2.2. Ichkeul marshes wetland 36 2.3. Object-oriented classification method integrating the topo-bathymetric terrain model 39 2.3.1. Construction of the topo-bathymetric DTM 40 2.3.2. Image preprocessing 44 2.3.3. Segmentation 48 2.3.4. Classification 49 2.3.5. Limitations of the methodology 51 2.3.6. Case example of topo-bathymetric transect with the associated vegetation communities 51 2.3.7. Conclusion 53 2.4. From a practical point of view in QGIS 53 2.4.1. Software and data 53 2.4.2. Computation of the topo-bathymetric DTM 55 2.4.3. Image preprocessing 58 2.4.4. Segmentation 65 2.4.5. Classification 71 2.5. Bibliography 76 Chapter 3. Reservoir Hydrological Monitoring by Satellite Image Analysis 77Paul PASSY and Adrien SELLES 3.1. Context and scientific issue 77 3.1.1. Scientific issue 77 3.1.2. Physical and human context 77 3.1.3. The importance of water resources in Central India 78 3.2. Methods and data set 78 3.2.1. Methods 78 3.2.2. Data set 79 3.2.3. Data set preparation 80 3.3. Extraction and quantification of the Singur reservoir area 82 3.3.1. Calculation of the AWEI Index. 82 3.3.2. Construction of the water–land binary raster 83 3.3.3. Vectorization of the binary raster 84 3.3.4. Selection of water polygons 85 3.3.5. Calculation of the water area of the reservoir 86 3.4. Characterization of vegetation 88 3.4.1. Choosing an indicator of the state of vegetation 88 3.4.2. Calculation of the SAVI on the study area 88 3.4.3. Creating a land–water mask 89 3.4.4. Statistics of the SAVI land surface index 90 3.5. Automation of the processing chain via the construction of a QGIS model 91 3.5.1. Model setting 91 3.5.2. Construction of the chain of treatments for the extraction of the reservoir 92 3.6. Conclusions 103 3.7. Bibliography 103 Chapter 4. Network Analysis and Routing with QGIS 105Hervé PELLA and Kenji OSE 4.1. Introduction 105 4.2. General notions 105 4.2.1. Definition of a network 105 4.2.2. Network topology 106 4.2.3. Topological relationships 107 4.2.4. Graph traversal – example of the shortest path (Dijkstra) 109 4.3. Examples of development and analysis of hydrographic networks 109 4.4. Thematic analysis 111 4.4.1. Introduction 111 4.4.2. Useful data 112 4.4.3. Step 1: verification of network consistency 113 4.4.4. Step 2: routes organization 119 4.4.5. Step 3: alignment of points on a network 121 4.4.6. Step 4: network classification 123 4.4.7. Step 5: stations characterization 124 4.4.8. Step 6: distance calculation between observation points 129 4.4.9. Step 7: upstream path and drainage basins calculation 133 4.4.10. Step 8: downstream path 135 4.4.11. Step 9: calculation of availability areas 140 4.5. Bibliography 144 Chapter 5. Representation of the Drainage Network in Urban and Peri-urban Areas Using a 2D Polygonal Mesh Composed of Pseudo-convex Elements 145Pedro SANZANA, Sergio VILLAROEL, Isabelle BRAUD, Nancy HITSCHFELD, Jorge GIRONAS, Flora BRANGER, Fabrice RODRIGUEZ, Ximena VARGAS and Tomas GOMEZ 5.1. Definitions and context 145 5.1.1. General context and objectives 145 5.1.2. Derivation of input GIS layers 148 5.1.3. Identification of badly-shaped HRUs and methodology to improve the model mesh quality 149 5.2. Implementation of the TriangleQGIS module and general methodology 153 5.2.1. Used technologies 153 5.2.2. Context and general methodology 153 5.2.3. Structure of the QGIS plugin 155 5.2.4. Basic used library: MeshPy 156 5.2.5. Installation of the plugin in Windows 156 5.2.6. Installation of the virtual box, QGIS plugin and Geo-PUMMA 160 5.3. Illustration of the TriangleQGIS plugin and some Geo-PUMMA scripts 167 5.3.1. Insertion of nodes for long and thin polygons 168 5.3.2. Triangulation using the TriangleQGIS plugin 169 5.3.3. Dissolution of tirangulated elements 178 5.3.4. Effect of the model mesh improvement 181 5.4. Acknowledgments 182 5.5. Bibliography 183 Chapter 6. Mapping of Drought 185Mohammad EL HAJJ, Mehrez ZRIBI, Nicolas BAGHDADI and Michel LE PAGE 6.1. Context 185 6.2. Satellite data 186 6.2.1. MODIS products 186 6.2.2. Land cover map 187 6.3. Drought index based on satellite NDVI data 187 6.4. Methodology 188 6.4.1. Preprocessing of MOD13Q1 images (step 1) 189 6.4.2. Delimitation of drought zones (steps 2–5) 189 6.4.3. Calculate the area of agricultural, urban and forest zones affected by the drought (step 6) 190 6.5. Implementation of the application via QGIS 191 6.5.1. Download MODIS MOD13Q1 data 191 6.5.2. Preprocessing of MODIS MOD13Q1 data (step 1) 193 6.5.3. Calculate VCI index (steps 1 and 2) 195 6.5.4. Delimitation of drought zones (steps 2–5) 199 6.5.5. Calculation of agricultural, forest and urban areas affected by drought (step 6) 204 6.5.6. Visualization of results (step 7) 206 6.6. Drought map 212 6.7. Bibliography 213 Chapter 7. A Spatial Sampling Design Based on Landscape Metrics for Pest Regulation: The Millet Head Miner Case Study in the Bambey Area, Senegal 215Valérie SOTI 7.1. Definition and context 215 7.2. The spatial sampling methodology 217 7.2.1. Step 1: quantification of landscape metrics 218 7.2.2. Step 2: sampling plan production 221 7.2.3. Step 3: exportation of selected sampling sites to a GPS 223 7.3. Practical application 223 7.3.1. Software and data 223 7.3.2. Step 1: landscape variables calculation 224 7.3.3. Step 2: sampling plan production 232 7.3.4. Step 3: integrating sampling points into a GPS device 238 7.3.5. Limits of the method 241 7.4. Bibliography 242 Chapter 8. Modeling Erosion Risk Using the RUSLE Equation 245Rémi ANDREOLI 8.1. Definition and context 245 8.2. RUSLE model 246 8.2.1. Climatic factor: rainfall aggressiveness R 248 8.2.2. Topographic factor: slope length and gradient 249 8.2.3. Soil types and land cover factors 251 8.2.4. Estimation of soil losses A 254 8.2.5. Limits of the method considered 254 8.3. Implementation of the RUSLE model 255 8.3.1. Software and data 255 8.3.2. Step 1: R factor calculation 257 8.3.3. Step 2: LS factor calculation 263 8.3.4. Step 3: preparation of the K factor 274 8.3.5. Step 4: C factor creation 275 8.3.6. Step 5: soil loss A calculation from the RUSLE equation 280 8.4. Bibliography 281 List of Authors 283 Index 285 Scientific Committee 289

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Book SynopsisProviding an authoritative assessment of the current landscape of spatial analysis in the social sciences, this cutting-edge Handbook covers the full range of standard and emerging methods across the social science domain areas in which these methods are typically applied. Accessible and comprehensive, it expertly answers the key questions regarding the dynamic intersection of spatial analysis and the social sciences. The chapters are split into insightful sections dedicated to foundational background material, methods, social science applications and the challenges on the horizon, using state-of-the-art coverage of the traditional and novel spatial methods. Leading scholars in the field use a range of applications to illustrate the diverse ways in which spatial analysis methods can inform research in the field of social sciences. Furthermore, the Handbook discusses the key challenges to that research including uncertainty, reproducibility and replicability. This Handbook of Spatial Analysis in the Social Sciences will be an excellent informative resource for scholars in the fields of geography, social sciences and public health. Established and early career researchers of the social sciences alike will appreciate the detailed overview of the methods and applications as well as the ability to expand their methodological knowledge.Trade Review‘Rey and Franklin introduce this new Handbook with an allusion to a rapidly changing landscape. And perhaps because any landscape, but especially a swiftly evolving one needs solid landmarks, this collection is a welcome addition to the literature that should appeal to any researchers in the social sciences working to learn the ropes of spatial analysis.’ -- Antonio Paez, McMaster University, Canada‘A comprehensive collection of chapters, carefully curated, spanning the current state of the art of spatial analysis in the social sciences written by established experts in the field ably accompanied by those creating the expertise of the future.’ -- Danny Dorling, Oxford University, UKTable of ContentsContents: Introduction: Spatial analysis and the social sciences in a rapidly changing landscape xi Sergio J. Rey and Rachel S. Franklin PART 1 THEORY, FRAMEWORKS AND FOUNDATIONS 1 GIScience through the looking glass 2 Barbara P. Buttenfield 2 Locating spatial data in the social sciences 16 Jonathan Reades 3 Analytical environments 36 Roger Bivand 4 Complexity 64 Li An 5 Linking spatial patterns to processes 85 Colin Robertson and Jed Long PART 2 METHODS 6 Spatial econometrics 101 Luc Anselin 7 Local modeling in a regression framework 123 Mehak Sachdeva, Taylor Oshan and A. Stewart Fotheringham 8 Simulating geographical systems using cellular automata and agent-based models 142 Alison Heppenstall, Andrew Crooks, Ed Manley and Nick Malleson 9 Microsimulation 158 Nik Lomax 10 Multilevel models 173 Richard Harris 11 Context-dependent movement analysis 187 Somayeh Dodge 12 Spatial interaction modeling 208 Taylor Oshan 13 Spatial optimization 223 Alan T. Murray 14 Cluster identification 245 Edward Helderop and Tony H. Grubesic 15 Spatial point patterns 262 Stuart Sweeney and Sophia Arabadjis 16 Spatial dynamics 277 Wei Kang 17 GeoAI in social science 291 Wenwen Li 18 Exploratory spatial data analysis 305 Ran Wei 19 Geovisualization and geovisual analysis 322 Alasdair Rae 20 Immersive virtual reality and spatial analysis 336 Trevor M. Harris 21 Spatiotemporal data mining 352 Arun Sharma, Zhe Jiang and Shashi Shekhar PART 3 APPLICATIONS 22 Neighborhood change 370 Elizabeth Delmelle 23 The spatial analysis of gentrification: Formalizing geography in models of a multidimensional urban process 384 Elijah Knaap 24 Social networks in space 400 Clio Andris and Dipto Sarkar 25 Analysing the dynamics of inter-regional inequality: The case of Canada 416 Sébastien Breau 26 Spatial approaches to energy poverty 434 Caitlin Robinson 27 The shape of bias: Understanding the relationship between compactness and bias in U.S. elections 451 Levi John Wolf 28 Space and New Urbanism 470 Emily Talen 29 Space for wellbeing 481 Victoria Houlden 30 Urban analytics: History, trajectory and critique 503 Geoff Boeing, Michael Batty, Shan Jiang and Lisa Schweitzer PART 4 EMERGING CHALLENGES AND ISSUES 31 Reproducibility and replicability in spatial science 518 Michael F. Goodchild 32 An image library: The potential of imagery in (quantitative) social sciences 528 Daniel Arribas-Bel, Francisco Rowe, Meixu Chen and Sam Comber 33 Uncertainty 544 David C. Folch Index 559

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Book SynopsisThis book reviews the contributions of Earth Observation (EO) to public health practices. It examines how EO is being used to understand, track, predict, and manage infectious and chronic diseases, and it provides discussion on the current challenges and the significant development potential of EO to a One Health approach. Its objective is to address a set of questions: How does EO currently assist public health activities? What are the challenges for operational use of EO in public health? What are the opportunities for EO to benefit public health in the near future? This review concentrates on the following priority themes to which EO and geomatics can make important contributions: mosquito-borne and tick-borne diseases; water-borne diseases; air quality and extreme heat effects; and geospatial indicators of vulnerable human populations. EO has also demonstrated potential during the COVID-19 pandemic as an efficient provider of data on rapid environmental and socio-economic changes and impacts. Remotely sensed data are particularly useful for risk modelling and mapping projects to help generate information on occurrence and spatio-temporal trends of disease risk. Similarly, EO can be used to identify risk factors for disease risk or emergence detected in surveillance, and support development of early warning systems. Risk maps enable public health professionals to anticipate and prepare for health threats, and they can support responses to infectious disease epidemics or existing endemic conditions. This book emerged from the collaboration of the Public Health Agency of Canada and the Canadian Space Agency with contributions of international experts. Their findings will be of great value to public health and EO professionals interested in developing and applying geospatial applications in the risk assessment and management of public health issues.Table of ContentsSection 1: Introduction to Public Health and Earth Observation Chapter 1: Public Health and Earth Observation Chapter 2: Work Programme Organization and Management Approaches Section 2: Earth Observation and Public Health Priority Application and Research Areas by Theme Chapter 3: Mosquito-Borne Diseases Chapter 4: Tick-Borne Diseases Chapter 5: Air Quality and Heat-Related Health Issues Chapter 6: Water-Borne Diseases- Earth Observation System for the Coastal Monitoring of Non-Cholera Vibrios Chapter 7: Vulnerable Populations Chapter 8: Earth Observation and Geospatial Data Utilization during the COVID-19 Pandemic: A Preliminary Appraisal Chapter 9: Needs, Challenges, and Opportunities – A Review by Experts Chapter 10: Conclusions and Opportunities

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Book SynopsisThis book addresses the field of geographic information extraction and retrieval from textual documents. Geographic information retrieval is a rapidly emerging subject, a trend fostered by the growing power of the Internet and the emerging possibilities of data dissemination.After positioning his work in this field in Chapter 1, the author makes proposals in the following two chapters. Chapter 2 focuses on spatial and temporal information indexing and retrieval in corpora of textual documents. Propositions for both spatial and temporal information retrieval (IR) are made. Chapter 3 tackles the use of generalized spatial and temporal indexes, which are produced from there in the framework of multi-criteria IR. Geographic IR (GIR) is discussed at length, since this IR combines the criteria of spatial, temporal and thematic research.The author provides a rich bibliographical study of the current approaches focused on the modeling and retrieval of spatial and temporal information in textual documents, and similarity measures developed thus far in the literature.The book concludes with a broad perspective of the remaining scientific challenges. Several areas of research are discussed, such as integration of a domain-based ontology, modeling of spatial footprints from the interpretation of spatial relation, and parsing of relations between features deemed relevant within a document resulting from a GIR process. Contents Foreword, Christophe Claramunt.1. Access by Geographic Content to Textual Corpora: What Orientations ?2. Spatial and Temporal Information Retrieval in Textual Corpora.3. Multicriteria Information Retrieval in Textual Corpora.4. General Conclusion. About the Authors Christian Sallaberry is currently Assistant Professor at the Law, Economics and Management Faculty in Pau, France. His current research interests are in the fields of geographical information retrieval (GIR) in textual corpora: spatial, temporal and thematic information recognition, analyzing, indexing and retrieval. He is interested in spatial, temporal and thematic criteria combinations within a GIR process.Table of ContentsFOREWORD ix Christophe CLARAMUNT ACKNOWLEDGMENTS xi INTRODUCTION xiii CHAPTER 1. ACCESS BY GEOGRAPHIC CONTENT TO TEXTUAL CORPORA: WHAT ORIENTATIONS? 1 1.1. Introduction 1 1.2. Access by geographic content to textual corpora 1 1.2.1. Document retrieval and textual corpora 2 1.2.2. Textual corpora with “territorial” denotations 2 1.2.3. Access to textual content 6 1.3. Reinforcement of GIR by contributions from NLP, reasoning and multicriteria IR 7 1.4. Toward the construction of a multicriteria IR engine 9 1.4.1. Challenges, hypotheses and research objectives 10 1.4.2. Approach 11 1.4.3. Applications 13 CHAPTER 2. SPATIAL AND TEMPORAL INFORMATION RETRIEVAL IN TEXTUAL CORPORA 17 2.1. Introduction 17 2.2. Review of challenges, hypotheses and research objectives 18 2.3. Spatial and temporal information in textual documents: literature review 19 2.3.1. Geographic information in text and IR 19 2.3.2. Named entities 19 2.3.3. Modeling languages 21 2.3.4. Reasoning 24 2.3.5. Linguistic processing 26 2.3.6. GIR: systems and similarity measure models 27 2.3.7. Evaluation campaigns, corpora and resources 31 2.3.8. Summary 34 2.4. Proposition for spatial and temporal information indexing and retrieval in textual corpora 35 2.4.1. Reminder and focus on the notion of space and time in “heritage” corpora 35 2.4.2. Core spatial model and core temporal model 36 2.4.3. Spatial and temporal relations 37 2.4.4. Spatial and temporal indexing process flows: PIV prototype 39 2.4.5. Spatial and temporal IR: PIV prototype 42 2.4.6. Evaluation and discussion 45 2.5. Summary 47 2.5.1. Contributions 47 2.5.2. Perspectives 49 CHAPTER 3. MULTICRITERIA INFORMATION RETRIEVAL IN TEXTUAL CORPORA 53 3.1. Introduction 53 3.2. Review of challenges, hypotheses and research objectives 54 3.3. Standardization and combination of criteria: literature review 56 3.3.1. Criterion standardization 56 3.3.2. Combination of criteria 58 3.3.3. Summary and positioning of a partially compensatory GIR 64 3.4. Proposition for indexing by tiling and multicriteria IR in textual corpora 65 3.4.1. Standardization by tiling 65 3.4.2. Spatial and temporal IR applied to tiling: PIV2 70 3.4.3. Multicriteria IR applied to tiling: PIV3 72 3.5. Evaluation and discussion 77 3.5.1. Evaluation framework of geographic IRSs: proposal for a test collection and an experimental protocol 78 3.5.2. Evaluation of the spatial and temporal IR applied to tiling 79 3.5.3. Evaluation of the multicriteria IR applied to tiling 81 3.6. Summary 84 3.6.1. Contributions 84 3.6.2. Perspectives 86 CHAPTER 4. GENERAL CONCLUSION 87 4.1. Summary 87 4.1.1. Contributions to the access by geographic content to textual corpora 87 4.1.2. Spatial and temporal IR in texts 88 4.1.3. Multicriteria IR in texts 89 4.2. Perspectives 90 4.2.1. Intradimensional axis 92 4.2.2. Interdimensional axis 97 4.2.3. Expansion of the vocabulary for a qualitative representation of the geographic dimensions 103 BIBLIOGRAPHY 105 INDEX 123

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Book SynopsisStudying the Ocean Planet requires measuring and sampling instruments to feed models that take into account its complexity. This book presents the diversity of observation and monitoring techniques at various scales, but also different kinds of model that take into account some conceptual schemes incorporating various scientific knowledge. Sampling is approached via the efficiency of fishing gears; underwater acoustics is used to detect, count, identify and listen to live and mobile living resources. Bio-logging allows us to rely on the behavior of marine animals to help investigate environments that are difficult to sample by conventional means, while listing the physiological changes they undergo. Modeling is presented not only in a functional framework, but also in an exploratory design incorporating various scenarios for ecosystem changes under the pressure of global change. This ninth volume completes the "Seas and Oceans" Set that adopts a transversal approach leading to the governance and sustainable management of the marine environment.Table of ContentsForeword xi Chapter 1. For a Systemic and Transdisciplinary Approach to the Environment 1André MONACO, Patrick PROUZET and Patrick VINCENT 1.1. Introduction 1 1.2. A complex and vulnerable ocean system 4 1.3. Suitable observation tools 9 1.3.1. For a systemic vision of the ocean 10 1.3.2. To assess our vulnerability to global change 11 1.3.3. The contribution of operational oceanography 13 1.3.4. New technologies applied to the living world 15 1.4. Conclusion 16 1.5. Acknowledgments 17 1.6. Bibliography 17 Chapter 2. Vulnerability to Global Change: Observation Strategies for the Marine Environment 19Patrick FARCY, Gilles REVERDIN and Philippe BERTRAND 2.1. Introduction 19 2.2. Marine environment observation strategies 20 2.2.1. Parameters to measure 21 2.2.2. Measurement techniques with wide-ranging applications 25 2.3. Some large observation domains 28 2.3.1. The open sea 28 2.3.2. The coastal and littoral ocean 30 2.3.3. The ocean floor: substratum and population 36 2.4. Satellite contribution to observation strategies 42 2.5. In situ observation 45 2.5.1. Lagrangian measurements at the surface and in the water column 45 2.5.2. Eulerian measurements 56 2.5.3. Other significant parameters 60 2.6. Observation strategies 64 2.6.1. The “observatory” approach 64 2.6.2. Some examples of the complementariness of the measurements taken by networks 66 2.6.3. What’s the point of modeling? 67 2.7. What next? 69 2.8. Bibliography 72 Chapter 3. Fishing Technology for Fisheries Research 75Pascal LARNAUD and Benoit VINCENT 3.1. Introduction 75 3.2. The methods employed to measure selectivity 77 3.2.1. What is selectivity? 77 3.2.2. The tools employed to measure meshes 79 3.2.3. The case of trawls 81 3.2.4. Fishing nets and other gear 89 3.3. The tools and observation methods of fishing gear 94 3.3.1. Hydrodynamic tank test 95 3.3.2. Submarine video recording 99 3.3.3. Measurement tools in the domain of fishing technology 103 3.4. Computer simulation tools 104 3.5. Perspectives 108 3.6. Bibliography 109 Chapter 4. Acoustics to Detect and Measure Underwater Organisms 113Verena TRENKEL, Aude PACINI and Laurent BERGER 4.1. Introduction 113 4.1.1. Physical principles of underwater acoustics 113 4.1.2. Instruments 117 4.2. How animals use acoustics 120 4.2.1. Marine mammals 121 4.2.2. Fish 123 4.2.3. Other marine animals 124 4.3. How researchers use acoustics 124 4.3.1. Widening the observation scope 124 4.3.2. Describing animal behavior 126 4.3.3. Estimating fish abundance 128 4.3.4. Ecosystem indicators 130 4.3.5. Seafloor and benthic habitat characterization 131 4.3.6. Quantifying the impact of human activities on ecosystems 131 4.4. Practical uses of acoustics 132 4.4.1. Equipment 132 4.4.2. Carrying out a research cruise 135 4.4.3. Data processing 137 4.4.4. Advantages and drawbacks of acoustics 139 4.5. Acknowledgments 140 4.6. Bibliography 140 Chapter 5. “Bio-logging” as a Tool to Study and Monitor Marine Ecosystems, or How to Spy on Sea Creatures 143Yann TREMBLAY and Sophie BERTRAND 5.1. Introduction 143 5.2. The variety of sensors and measurements 144 5.2.1. Position measurements 144 5.2.2. Physiological measurements 147 5.2.3. Behavioral measurements 147 5.2.4. Environmental measurements 148 5.2.5. Presence measurements 149 5.3. Attachment methods: limits and ethics 150 5.4. Current challenges 152 5.5. Some examples of discoveries resulting from bio-logging 153 5.5.1. The marine field is huge, and yet… 153 5.5.2. To adjust, yes, but how? 154 5.5.3. Animals as oceanographers 156 5.5.4. The impact of oceanographic structures 156 5.5.5. Interactions with fisheries, their management and conservation 157 5.6. Conclusion 161 5.7. Bibliography 162 Chapter 6. Modeling Strategies for Ecosystems 175Cédric BACHER and Nathalie NIQUIL 6.1. Definition of mathematical modeling 175 6.1.1. Introduction 175 6.1.2. The main currents of ecological modeling 177 6.2. Mathematical formalization 178 6.2.1. State variables, process variables and the equation of state 178 6.2.2. Functional responses 180 6.2.3. Simplified food web 187 6.3. Metabolic foundations of population dynamics 192 6.3.1. Metabolic laws 192 6.3.2. Population and communities 197 6.4. Modeling complexity 199 6.4.1. Introduction 199 6.4.2. From NPZD to trophodynamic models 203 6.4.3. Static holistic models 204 6.5. Conclusion 209 6.5.1. The ideal of end-to-end models 209 6.5.2. To find out more 210 6.6. Acknowledgments 212 6.7. Bibliography 212 Chapter 7. The Ecosystem Approach to Fisheries: Reconciling Conservation and Exploitation 221Philippe CURY, Arnaud BERTRAND, Sophie BERTRAND, Marta COLL, Philippe GROS, Souad KIFANI, François Le LOCH, Olivier MAURY, Frédéric MENARD, Florent RENAUD, Lynn SHANNON and Yunne-Jai SHIN 7.1. The ecosystem approach to fisheries: a shared view on the management of marine resources 221 7.1.1. The challenges of the ecosystem approach 221 7.1.2. Three bodies of the United Nations structure the ecosystem approach to global fisheries 223 7.1.3. The complex matter of scientific issues supporting governance 233 7.2. The way marine ecosystems work 236 7.2.1. Bottom-up, top-down and wasp-wait controls 236 7.2.2. Trophic relationships in marine ecosystems 248 7.3. EAF and research on marine ecosystems 256 7.3.1. Quantifying ecological interactions 256 7.3.2. Understanding spatial dynamics 258 7.3.3. Modeling as a tool to integrate knowledge 262 7.4. Ecological indicators Marine Strategy Framework Directive (MSFD) 271 7.4.1. Three current levels of organization: international, national and regional 273 7.4.2. The ecosystem approach of the MSFD 274 7.4.3. The assessment of food webs 275 7.5. Implementing the EAF: the Benguela and Humboldt examples 278 7.5.1. Benguela 278 7.5.2. The Humboldt 283 7.6. Dynamic approaches to the ecosystem management of fisheries 289 7.7. Bibliography 290 Chapter 8. Modeling in Contemporary Sciences: Efficiency and Limits Examples from Oceanography 313Alain PAVÉ 8.1. Introduction 313 8.2. A language to describe reality 314 8.3. Relationships between models and reality 315 8.4. What about marine ecological systems and their management? 323 8.5. Interdisciplinarity, transdisciplinarity and modeling 329 8.5. Bibliography 332 List of Authors 337 Index 339

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