Metadata play a fundamental role in both DLs and SDIs. Commonly defined as "structured data about data" or "data which describe attributes of a resource" or, more simply, "information about data," it is an essential requirement for locating and evaluating available data. Therefore, this book focuses on the study of different metadata aspects, which contribute to a more efficient use of DLs and SDIs. The three main issues addressed are: the management of nested collections of resources, the interoperability between metadata schemas, and the integration of information retrieval techniques to the discovery services of geographic data catalogs (contributing in this way to avoid metadata content heterogeneity).

This book constitutes the first single-volume, English-language treatise on electromagnetic wave propagation across the frequency spectrum.

This volume addresses the physical foundation of remote sensing. The basic grounds are presented in close association with the kinds of environmental targets to monitor and with the observing techniques. The book aims at plugging the quite large gap between the thorough and quantitative description of electromagnetic waves interacting with the Earth's environment and the user applications of Earth observation. It is intended for scientifically literate students and professionals who plan to gain a first understanding of remote sensing data and of their information content.

Since first emerging as an issue of concern in the late 1960s, fear of crime has become one of the most researched topics in contemporary criminology and receives considerable attention in a range of other disciplines including social ecology, social psychology and geography. Researchers looking the subject have consistently uncovered alarming characteristics, primarily relating to the behavioural responses that people adopt in relation to their fear of crime. This book reports on research conducted over the past eight years, in which efforts have been made to pioneer the combination of techniques from behavioural geography with Geographic Information Systems (GIS) in order to map the fear of crime.

The first part of the book outlines the history of research into fear of crime, with an emphasis on the many approaches that have been used to investigate the problem and the need for a spatially-explicit approach. The second part provides a technical break down of the GIS-based techniques used to map fear of crime and summarises key findings from two separate study sites. The authors describe collective avoidance behaviour in relation to disorder decline models such as the Broken Windows Thesis, the potential to integrate fear mapping with police-community partnerships and emerging avenues for further research. Issues discussed include fear of crime in relation to housing prices and disorder, the use of fear mapping as a means with which to monitor the impact of Closed Circuit Television (CCTV) and fear mapping in transit environments.

"The PhD thesis written by Mr. Ackermann is an outstanding and in-depth scientific study that closes a research gap and paves the way to new developments. Despite the extremely complex issues, his work is very understandable and excellently elaborated." Prof. Dr. Christiane Schmullius "The PhD thesis written by Mr. Ackermann is an excellent and very comprehensive work performed at the highest scientific level. It examines in detail the potential of SAR data with regards to the derivation of forest stem volume in the temperate latitudes. The work belongs to a technically complex field. Nevertheless, Mr. Ackermann has succeeded in presenting the content in a clear and understandable way." Dr. Christian Thiel "The proposed document is overall of very good quality. Mr. Ackermann has done an exhaustive analysis of the in-situ data available on the Thuringian forest and was able to derive Growing Stocking Volume using L- and X-band spaceborne SAR data. The document is very well structured with a good split of information between the core of the text presented in the 6 chapters and the 4 annexes, which contain detailed results. Mr. Ackermann's English grammar is excellent and his syntax is crystal clear, making his document pleasant to read. The way arguments are presented is logical and Mr. Ackermann gives a lot of attention to ensuring that sound explanations properly support these arguments." Dr. Maurice Borgeaud

"Modeling the Dynamics and Consequences of Land System Change" introduces an innovative three-tier architecture approach for modeling the dynamics and consequences of land system change. It also describes the principle, modules and the applications of the three-tier architecture model in detail. The approach holds strong potential for accurate predictions of the land use structure at the regional level, simulating the land use pattern at pixel level and evaluating the consequences of land system change. The simulation results can be used for the planning of land use, urban development, regional development, environmental protection, and also serve as valuable information for decision making concerning land management and optimal utilization of land resources.

The book is intended for the researchers and professionals in land use or land systems, regional environmental change, ecological conservation, as well as the land resource administrative agencies and environmental protection agencies.

Professor Xiangzheng Deng is a senior research fellow at the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, China.

Since the publication of Jerlov's classic volume on optical oceanography in 1968, the ability to predict or model the submarine light field, given measurements of the inherent optical properties of the ocean, has improved to the point that model fields are very close to measured fields. In the last three decades, remote sensing capabilities have fostered powerful models that can be inverted to estimate the inherent optical properties closely related to substances important for understanding global biological productivity, environmental quality, and most nearshore geophysical processes. This volume presents an eclectic blend of information on the theories, experiments, and instrumentation that now characterize the ways in which optical oceanography is studied. Through the course of this interdisciplinary work, the reader is led from the physical concepts of radiative transfer to the experimental techniques used in the lab and at sea, to process-oriented discussions of the biochemical mechanisms responsible for oceanic optical variability. The text will be of interest to researchers and students in physical and biological oceanography, biology, geophysics, limnology, atmospheric optics, and remote sensing of ocean and global climate change.

The third edition of this well-known textbook, first published in 1980, has been completely revised in order to adequately reflect the drastic changes which occured in the field of geodesy in the last twenty years. Reference systems are now well established by space techniques, which dominate positioning and gravity field determination. Terrestrial techniques still play an important role at local and regional applications, whereby remarkable progress has been made with respect to automatic data aquisition. Evaluation methods are now three-dimensional in principle, and have to take the gravity field into account. Geodetic control networks follow these developments, with far-reaching consequences for geodetic practice. Finally, the increased accuracy of geodetic products and high data rates have significantly increased the contributions of geodesy to geodynamics research, thus strengthening the role of geodesy within the geosciences. The present state of geodesy is illustrated by recent examples of instruments and results. An extensive reference list supports further studies.

This book is based on the premise that research necessary to advance the utility of geographic informatior. systems must extend far beyond concerns with technical issues. The search for formalisms and generalizable principles relative to the behavior and needs of individuals, organizations and institutions is just as important in enabling optimal use of geographic information innovations. This book consists of papers prepared by participants in the NATO Advanced Research Workshop (ARW) on "Modeling the Diffusion and Use of Geographic Information Technologies. " The workshop was held AprilS-II, 1992, in Sounion, Greece. The idea for the workshop and this volume arose from discussions among U. S. and European researchers who had been involved in carrying out studies on the use and diffusion of geographic information innovations and actively involved in critically analyzing each other's work. We felt the time was ripe for reporting studies recently accomplished by the National Center for Geographic Information and Analysis (U. S. A. ), the Economic and Social Research Council (U. K. ), and others relative to these research topics. A workshop would allow contact among and international comparisons with those who were working independently on similar problems with similar or alternative approaches. It would also allow the bringing together of scholars in technology diffusion, management information systems, and sociology with scholars from the GIS community.

One of the key milestones of radar remote sensing for civil applications was the launch of the European Remote Sensing Satellite 1 (ERS 1) in 1991. The platform carried a variety of sensors; the Synthetic Aperture Radar (SAR) is widely cons- ered to be the most important. This active sensing technique provides all-day and all-weather mapping capability of considerably ?ne spatial resolution. ERS 1 and its sister system ERS 2 (launch 1995) were primarily designed for ocean app- cations, but soon the focus of attention turned to onshore mapping. Examples for typical applications are land cover classi?cation also in tropical zones and mo- toring of glaciers or urban growth. In parallel, international Space Shuttle Missions dedicated to radar remote sensing were conducted starting already in the 1980s. The most prominent were the SIR-C/X-SAR mission focussing on the investigation of multi-frequency and multi-polarization SAR data and the famous Shuttle Radar Topography Mission (SRTM). Data acquired during the latter enabled to derive a DEM of almost global coverage by means of SAR Interferometry. It is indispe- ableeventodayandformanyregionsthebestelevationmodelavailable. Differential SAR Interferometry based on time series of imagery of the ERS satellites and their successor Envisat became an important and unique technique for surface defor- tion monitoring. The spatial resolution of those devices is in the order of some tens of meters.

The 15th anniversary of the Chernobyl nuclear power plant disaster offered a timely opportunity for an expert assessment of the current situation and suggestions for approaches to managing the information associated with the site and surrounding contaminated territories.
The great quantity of data coming from the contaminated region was and is very difficult to use without he aid of modern information technologies, especially Geographic Information Systems (GIS) and Remote Sensing (RS). Application of these technologies, and related expertise, became crucial to the region's economic recovery and sustainability planning. Given the real possibility of a similar accident at nuclear facilities elsewhere around the world, the development of recovery strategies based on experience gained at Chernobyl, using modern scientific methods and technologies, will be invaluable in the future. The presentations and discussion reported in the book have led to some key conclusions. Image maps derived from satellite imagery are the most economical, up to date and readily available basis for Chernobyl-related applications, as well as for other future applications. The study of soil-plant transfer of radionuclides afforded comparatively much more reliable data. GIS in association with adequate knowledge is a valuable tool in decision making and modelling of contaminated areas and objects.

For those addressing ecological and natural resource management problems this volume presents a set of coherent, cross-referenced perspectives on incorporating the spatial representation and analytical power of GIS with agent-based modeling of evolutionary and non-linear processes and phenomena. Many recent advances in software algorithms for incorporating geographic data in modeling social and ecological behaviors and also the success in applying such algorithms have not been adequately represented in the present literature. This book fills that gap and provides much needed information on applications for the research community as well as those in the management of natural resources.

The IAG International Symposium on Gravity, Geoid and Geodynamics 2000 (GGG2000) took place in Banff, Alberta, Canada, from July 31 to August 4, 2000. This symposium continued the tradition of mid-term meetings ("GraGeoMar96: Gravity, Geoid and Marine Geodesy," Tokyo, Japan, Sept. 30 - Oct. 5,1996) held between the joint symposia of the International Geoid and Gravity Commissions ("1st Joint Meeting of the International Gravity Commission and the International Geoid Commission," Graz, Austria, Sept. 11-17, 1994 and "2nd Joint Meeting of the International Gravity Commission and the International Geoid Commission," Trieste, Italy, Sept. 7-12, 1998). This time, geodynamics was chosen as the third topic to accompany the of gravity and geoid. The symposium thus aimed and succeeded at bringing traditional topics together geodesists and geophysicists working in the general areas of gravity, geoid and geodynamics. Besides covering the traditional research areas, special attention was paid to the use of geodetic methods for geodynamics studies, dedicated satellite missions, airborne surveys, arctic regions geodesy and geodynamics, new mathematical methods and the integration of geodetic and geophysical information. The Scientific Committee members (Jean Dickey, Martine Feissel, Rene Forsberg, Petr Holota, Inginio Marson, Masao Nakada, Richard W. Peltier, Reiner Rummel, Burkhard Schaffrin, Klaus Peter Schwarz, Michael G. Sideris, DetlefWolf and Patrick Wu) are sincerely thanked for selecting the session topics, which resulted in such an exciting scientific event. More specifically, the following ten sessions were organized: 1. Reference Frames and the Datum Problem C.

The book is based on selected contributions presented at the (General) Session on the "Observation, Prediction and Verification of Precipitation" of the 2006 EGU General Assembly held in Vienna, Austria. It focuses on current advances in the field of precipitation measurement (i.e. instrumentation), estimation (i.e. remote sensing) and prediction (i.e. modeling). Following an introduction, which includes definitions and a summary on the history of measurement, estimation and prediction of precipitation, modern methods in the measurement, estimation and predication of precipitation are presented followed by the integration of the three themes for improved precipitation estimates and prediction as well as calibration and fine-tuning of methods. It describes advances in in-situ ground based instruments, in remote sensing methods of precipitation from space, ground and underwater observations and state of the art methods of precipitation nowcasting and forecasting, along with verification.

Earth Observation interacts with space, remote sensing, communication, and information technologies, and plays an increasingly significant role in Earth related scientific studies, resource management, homeland security, topographic mapping, and development of a healthy, sustainable environment and community. Geospatial Technology for Earth Observation provides an in-depth and broad collection of recent progress in Earth observation. Contributed by leading experts in this field, the book covers satellite, airborne and ground remote sensing systems and system integration, sensor orientation, remote sensing physics, image classification and analysis, information extraction, geospatial service, and various application topics, including cadastral mapping, land use change evaluation, water environment monitoring, flood mapping, and decision making support. Geospatial Technology for Earth Observation serves as a valuable training source for researchers, developers, and practitioners in geospatial science and technology industry. It is also suitable as a reference book for upper level college students and graduate students in geospatial technology, geosciences, resource management, and informatics.

China Satellite Navigation Conference (CSNC) 2015 Proceedings presents selected research papers from CSNC2015, held during 13th-15th May in Xian, China. The theme of CSNC2015 is Opening-up, Connectivity and Win-win. These papers discuss the technologies and applications of the Global Navigation Satellite System (GNSS), and the latest progress made in the China BeiDou System (BDS) especially. They are divided into 10 topics to match the corresponding sessions in CSNC2015, which broadly covered key topics in GNSS. Readers can learn about the BDS and keep abreast of the latest advances in GNSS techniques and applications. SUN Jiadong is the Chief Designer of the Compass/ BDS, and the academician of Chinese Academy of Sciences (CAS); LIU Jingnan is a professor at Wuhan University. FAN Shiwei is a researcher at China Satellite Navigation Office; LU Xiaochun is an academician of Chinese Academy of Sciences (CAS).

This book is a composition of diverse points of view regarding the application of Computational Intelligence techniques and methods into Remote Sensing data and problems. It is the general consensus that classi?cation, and related data processing, and global optimization methods are the main topics of Compu- tional Intelligence. Global random optimization algorithms appear in this book, such as the Simulated Annealing in chapter 6 and the Genetic Algorithms p- posedinchapters3and9. Muchofthecontentsofthe bookaredevotedto image segmentationandrecognition, using diversetoolsfromregionsofComputational Intelligence, ranging from Arti?cial Neural Networks to Markov Random Field modelling. However, there are some fringe topics, such the parallel implem- tation of some algorithms or the image watermarking that make evident that thefrontiersbetweenComputationalIntelligenceandneighboringcomputational disciplines are blurred and the fences run low and full of holes in many places. The book starts with a review of the current designs of hyperspectral sensors, more appropriately named Imaging Spectrometers. Knowing the shortcomings and advantages of the diverse designs may condition the results on some app- cations of Computational Intelligence algorithms to the processing and und- standing of them Remote Sensing images produced by these sensors. Then the book contentsmovesinto basic signalprocessing techniquessuch ascompression and watermarking applied to remote sensing images. With the huge amount of remotesensinginformationandtheincreasingrateatwhichitisbeingproduced, itseems only naturalthatcompressiontechniques willleapintoa prominentrole in the near future, overcoming the resistances of the users against uncontrolled manipulation of "their" data. Watermarkingis the way to address issues of o- ership authentication in digital contents.

Mapping Geomorphological Environments is a highly descriptive textbook providing an excellent introduction to the latest methodologies for mapping geomorphological formations in a variety of different environments.

Its holistic approach seeks to provide a meaningful linkage between state of the art techniques for geomorphological mapping, including the latest innovations in geospatial applications, and advances in the understanding of the formation of geomorphological phenomena in a variety of settings and environments.

The book includes: - An introduction to the processes which form geomorphological formations and how to map them. - Case studies from a variety of environments with many examples of geomorphological maps. - In-depth descriptions of the latest tools and methodologies such as field sampling, GPS usage, 3-4D mapping, GIS analysis, digital image analysis, etc. - A list of the geomorphological characteristics per environment (e.g. coastal, fluvial, etc.) in the format of a geomorphological encyclopaedia, with pictures, maps and symbols.

It covers the entire workflow ranging from data collection, analysis, interpretation, and mapping.

Acknowledgements

All authors would like to acknowledge the contribution of Dr. John W.M. Peterson, School of Computing Sciences, University of East Anglia, Norwich, UK, for corrections and improvement to the English text..

Universita Telematica Guglielmo Marconi (UTGM) and ENEA acknowledge the collaboration of CUTGANA (Centro Universitario per la Tutela e la Gestione degli Ambienti Naturali e degli Agroecosistemi), Universita di Catania, for the paper on "The Cyclops Islands."

IRMCo acknowledges the use of the Integrated Land and Water Information System (ILWIS), developed by ITC, the Netherlands, for the management and assessment of geographic information in a GIS environment. ILWIS functionality was employed for the paper on "The natural heritage of the Island of Gozo" and the paper on "The geomorphological cave features of Ghar il-Friefet."

IPB (Polytechnic Institute of Braganca) wishes to acknowledges all those colleagues, most of them also members of CIMO (Centre for Mountain Research), that contributed to the recently issued Management Plan of Montesinho Natural Park (PNM). Their hidden contribution to the articles concerning PNM is much acknowledged. A word in recognition of his endless and contagious enthusiasm towards Montesinho and to the Mountain domain, spread among us all in the IPB, is due to Professor Dionisio Goncalves, the first Director, Coordinator and President of PNM, CIMO and IPB, respectively. The authors of the photos inserted in the articles concerning Montesinho are also much acknowledged for their contribution."

The focus of this volume is comprised of the fundamentals, models, and information technologies (IT) methods and tools for disaster prediction and mitigation. A more detailed list of topics includes mathematical and computational modeling of processes leading to or producing disasters, modeling of disaster effects, IT means for disaster mitigation, including data mining tools, knowledge-based and expert systems for use in disaster circumstances, GIS-based systems for disaster prevention and mitigation and equipment for disaster-prone areas. A specific type or class of disasters (natural or human-made), however will not be part of the main focus of this work. Instead, this book was conceived to offer a comprehensive, integrative view on disasters, seeking to determine what various disasters have in common. Because disaster resilience and mitigation involve humans, societies and cultures, not only technologies and economic models, special attention was paid in this volume to gain a comprehensive view on these issues, as a foundation of the IT tool design.

Geocomputation may be viewed as the application of a computational science paradigm to study a wide range of problems in geographical systems contexts.This volume presents a clear, comprehensive and thoroughly state-of-the-art overview of current research, written by leading figures in the field.It provides important insights into this new and rapidly developing field and attempts to establish the principles, and to develop techniques for solving real world problems in a wide array of application domains with a catalyst to greater understanding of what geocomputation is and what it entails.The broad coverage makes it invaluable reading for resarchers and professionals in geography, environmental and economic sciences as well as for graduate students of spatial science and computer science.

This Lab Manual is a companion to the textbook Remote Sensing and Digital Image Processing with R. It covers examples of natural resource data analysis applications including numerous practical, problem-solving exercises, and case studies that use the free and open-source platform R. The intuitive, structural workflow helps students better understand a scientific approach to each case study in the book and learn how to replicate, transplant, and expand the workflow for further exploration with new data, models, and areas of interest. Features 1. Aims to expand theoretical approaches of remote sensing and digital image processing through multidisciplinary applications using R and R packages. 2. Engages students in learning theory through hands-on real-life projects. 3. All chapters are structured with solved exercises and homework and encourages readers to understand the potential and the limitations of the environments. 4. Covers data analysis in free and open-source (FOSS) R platform, which makes remote sensing accessible to anyone with a computer. 5. Explores current trends and developments in remote sensing in homework assignments with data to further explore the use of free multispectral remote sensing data, including very high spatial resolution information. Undergraduate and graduate level students will benefit from the exercises in this lab manual, as they are applicable to a variety of subjects including environmental science, agriculture engineering, as well as natural and social sciences. Students will gain a deeper understanding, and first-hand experience, with remote sensing and digital processing with a learn-by-doing methodology using applicable examples in natural resources.

This book provides an overview of positioning technologies, applications and services in a format accessible to a wide variety of readers. Readers who have always wanted to understand how satellite-based positioning, wireless network positioning, inertial navigation, and their combinations work will find great value in this book. Readers will also learn about the advantages and disadvantages of different positioning methods, their limitations and challenges. Cognitive positioning, adding the brain to determine which technologies to use at device runtime, is introduced as well. Coverage also includes the use of position information for Location Based Services (LBS), as well as context-aware positioning services, designed for better user experience.

This book thoroughly covers the remote sensing visualization and analysis techniques based on computational imaging and vision in Earth science. Remote sensing is considered a significant information source for monitoring and mapping natural and man-made land through the development of sensor resolutions that committed different Earth observation platforms. The book includes related topics for the different systems, models, and approaches used in the visualization of remote sensing images. It offers flexible and sophisticated solutions for removing uncertainty from the satellite data. It introduces real time big data analytics to derive intelligence systems in enterprise earth science applications. Furthermore, the book integrates statistical concepts with computer-based geographic information systems (GIS). It focuses on image processing techniques for observing data together with uncertainty information raised by spectral, spatial, and positional accuracy of GPS data. The book addresses several advanced improvement models to guide the engineers in developing different remote sensing visualization and analysis schemes. Highlights on the advanced improvement models of the supervised/unsupervised classification algorithms, support vector machines, artificial neural networks, fuzzy logic, decision-making algorithms, and Time Series Model and Forecasting are addressed. This book guides engineers, designers, and researchers to exploit the intrinsic design remote sensing systems. The book gathers remarkable material from an international experts' panel to guide the readers during the development of earth big data analytics and their challenges.

This book is comprised of a selection of the best papers presented during the 25th International Cartography Conference which was held in Paris between 3rd and 8th July 2011. The scope of the conference covers all fields of relevant GIS and Mapping research subjects, such as geovisualization, semiotics, SDI, standards, data quality, data integration, generalization, use and user issues, spatio-temporal modelling and analysis, open source technologies and web services, digital representation of historical maps, history of GIS and cartography as well as cartography for school children and education.