Land Surface Remote Sensing: Environment and Risks explores the use of remote sensing in applications concerning the environment, including desertification and monitoring deforestation and forest fires. The first chapter covers the characterization of aerosols and gases by passive remote sensing. The next chapter presents the correlation of optical images for quantifying the deformation of the Earth's surface and geomorphological processes. The third chapter is examines remote sensing applications in the mining environment. The fourth chapter depicts the strong potential of radar imagery for volcanology and urban and mining subsidence studies. The next two chapters deal respectively with the use of remote sensing in locust control and the contribution of remote sensing to the epidemiology of infectious diseases. In the last ten years, spatial observation of the Earth-particularly continental surfaces-has expanded considerably with the launch of increasing numbers of satellites covering various applications (hydrology, biosphere, flow of surface, snow, ice, landslide, floods). This has paved the way for an explosion in the use of remote sensing data. This book offers essential coverage of space-based observation techniques for continental surfaces. The authors explore major applications and provide a corresponding detailed chapter for the physical principles, physics of measurement, and data processing requirements for each technique, bringing you up-to-date descriptions of techniques used by leading scientists in the field of remote sensing and Earth observation.

Technological advancements have changed that way we think of traditional urban and spatial planning. The inclusion of conventional elements with modern technologies is allowing this field to advance at a rapid pace. Geospatial Technologies in Urban System Development: Emerging Research and Opportunities is a pivotal reference source for the latest research findings on the different tools and techniques ranging from mathematical sciences to spatial sciences which can be effective in unveiling the complexity of an urban system. Featuring extensive coverage on relevant areas such as urban traffic, remote sensing, and geographic information systems, this publication is an ideal resource for academics, researchers, graduate-level students, professionals, and policymakers in urban economy, regional planning, and information science disciplines.

Advancements in technology have paved the way for innovative developments in geographic information systems. This has led to the creation of new platforms for spatial analysis applications and strategies. Spatial Analysis Techniques Using MyGeoffice (R) is an information reference source for the latest academic material on emerging software developments for the exploration of spatial data and its various applications. Including a range of topics such as digital image processing, spatial autocorrelation, and system functionality, this book is ideally designed for researchers, engineers, academics, students, and practitioners seeking information on new technological progress in spatial analysis.

While megacities are a reality, so too are the environmental disturbances that they cause, including air and water pollution. These disturbances can be modeled with technology and data obtained by modern methods, such as by drone, to monitor cities in near real-time as well as help to simulate risk situations and propose future solutions. These solutions can be inspired by the theoretical principles of sustainable urbanism. Methods and Applications of Geospatial Technology in Sustainable Urbanism is a collection of innovative research that combines theory and practice on analyzing urban environments and applying sustainability principles to them. Highlighting a wide range of topics including geographic information systems, internet mapping technologies, and green urbanism, this book is ideally designed for urban planners, public administration officials, landscape analysts, geographers, engineers, entrepreneurs, academicians, researchers, and students.

Provide the applications of remote sensing in all fields through varied case studies and spatial data analysis Includes soil and land degradation, micro climates, watershed management and planning Covers remote sensing applications in broad areas of agriculture, hydrology, land use, resource analysis and urban problems Discusses usage of GPS enabled smart phones and digital gadgets used for mapping and spatial analysis Explores applications of remote sensing in disaster management and planning

This book is the definitive guide to the techniques and applications of position location, covering both terrestrial and satellite systems. It gives all the techniques, theoretical models, and algorithms that engineers need to improve their current location schemes and to develop future location algorithms and systems.

Comprehensive coverage is given to system design trade-offs, complexity issues, and the design of efficient positioning algorithms to enable the creation of high-performance location positioning systems. Traditional methods are also reexamined in the context of the challenges posed by reconfigurable and multihop networks. Applications discussed include wireless networks (WiFi, ZigBee, UMTS, and DVB networks), cognitive radio, sensor networks and multihop networks.

Features

Contains a complete guide to models, techniques, and applications of position location

Includes applications to wireless networks, demonstrating the relevance of location positioning to these "hot" areas in research and development

Covers system design trade-offs and the design of efficient positioning algorithms, enabling the creation of future location positioning systems

Provides a theoretical underpinning for understanding current position location algorithms, giving researchers a foundation to develop future algorithms

David Munoz is Director and Cesar Vargas is a member of the Center for Electronics and Telecommunications, Tecnologico de Monterrey, Mexico. Frantz Bouchereau is a senior communications software developer at The MathWorks Inc. in Natick, MA. Rogerio Enriquez-Caldera is at Instituto Nacional de Atrofisica, Optica y Electronica (INAOE), Puebla, Mexico.
Contains a complete guide to models, techniques and applications of position location
Includes applications to wireless networks (WiFi, ZigBee, DVB networks), cognitive radio, sensor networks and reconfigurable and multi-hop networks, demonstrating the relevance of location positioning to these hot areas in research and development
Covers system design trade-offs, and the design of efficient positioning algorithms enables the creation of future location positioning systems
Provides a theoretical underpinning for understanding current position location algorithms, giving researchers a foundation to develop future algorithms"

Narrative generation can be applied to systematic frameworks that cover theoretical and philosophical thoughts of narratives and narrative generation, analytical research of related narrative genres and narrative works, and narrative works writing and creation using narrative generation systems. The design and development of narrative generation systems refers to the themes regarding narrative work creation as arts and literature through narrative generation systems beyond narrative generation systems as a technology. Internal and External Narrative Generation Based on Post-Narratology: Emerging Research and Opportunities is an essential scholarly publication that explores the creation of narrative systems using practical frameworks and advanced narrative analysis. Highlighting a range of topics such as marketing, synthetic narrative, and application systems, this book is ideal for academicians, information technology professionals, designers, developers, researchers, and students.

In the last decade there has been a phenomenal growth in interest in crime pattern analysis. Geographic information systems are now widely used in urban police agencies throughout industrial nations. With this, scholarly interest in understanding crime patterns has grown considerably. ""Artificial Crime Analysis Systems: Using Computer Simulations and Geographic Information Systems"" discusses leading research on the use of computer simulation of crime patterns to reveal hidden processes of urban crimes, taking an interdisciplinary approach by combining criminology, computer simulation, and geographic information systems into one comprehensive resource.

With the emergence of smart technology and automated systems in today's world, big data is being incorporated into many applications. Trends in data can be detected and objects can be tracked based on the real-time data that is utilized in everyday life. These connected sensor devices and objects will provide a large amount of data that is to be analyzed quickly, as it can accelerate the transformation of smart technology. The accuracy of prediction of artificial intelligence (AI) systems is drastically increasing by using machine learning and other probability and statistical approaches. Big data and geospatial data help to solve complex issues and play a vital role in future applications. Emerging Trends, Techniques, and Applications in Geospatial Data Science provides an overview of the basic concepts of data science, related tools and technologies, and algorithms for managing the relevant challenges in real-time application domains. The book covers a detailed description for readers with practical ideas using AI, the internet of things (IoT), and machine learning to deal with the analysis, modeling, and predictions from big data. Covering topics such as field spectra, high-resolution sensing imagery, and spatiotemporal data engineering, this premier reference source is an excellent resource for data scientists, computer and IT professionals, managers, mathematicians and statisticians, health professionals, technology developers, students and educators of higher education, librarians, researchers, and academicians.

This book describes recent advances in radiative transfer, atmospheric remote sensing, polarization optics of random media, and light scattering. It is a valuable resource for anyone involved in light scattering research. Providing numerous step-by-step tutorials, it allows readers to quickly learn about various aspects of theoretical and experimental light scattering media optics. The book features among others a chapter on aerosol remote sensing that helps readers to define and solve various aerosol remote sensing problems.

This book discusses various statistical models and their implications for developing landslide susceptibility and risk zonation maps. It also presents a range of statistical techniques, i.e. bivariate and multivariate statistical models and machine learning models, as well as multi-criteria evaluation, pseudo-quantitative and probabilistic approaches. As such, it provides methods and techniques for RS & GIS-based models in spatial distribution for all those engaged in the preparation and development of projects, research, training courses and postgraduate studies. Further, the book offers a valuable resource for students using RS & GIS techniques in their studies.