The ability to extract generic 3D objects from images is a crucial step towards automation of a variety of problems in cartographic database compilation, industrial inspection and assembly, and autonomous navigation. Many of these problem domains do not have strong constraints on object shape or scene content, presenting serious obstacles for the development of robust object detection and delineation techniques. Geometric Constraints for Object Detection and Delineation addresses these problems with a suite of novel methods and techniques for detecting and delineating generic objects in images of complex scenes, and applies them to the specific task of building detection and delineation from monocular aerial imagery. PIVOT, the fully automated system implementing these techniques, is quantitatively evaluated on 83 images covering 18 test scenes, and compared to three existing systems for building extraction. The results highlight the performance improvements possible with rigorous photogrammetric camera modeling, primitive-based object representations, and geometric constraints derived from their combination. PIVOT's performance illustrates the implications of a clearly articulated set of philosophical principles, taking a significant step towards automatic detection and delineation of 3D objects in real-world environments. Geometric Constraints for Object Detection and Delineation is suitable as a textbook or as a secondary text for a graduate-level course, and as a reference for researchers and practitioners in industry.

Climate change has been addressed since last decade based on the influence of human activities like production of industrial effluents, land use changes and other activities due to development of the society. These are very important issues no doubt but the activities due to the influence of extraterrestrial phenomena have not been given its due importance. An attempt is being made here to understand the influence of extraterrestrial activities as one of the important factors of climate change has been attempted here. The influence of Sun and distant stars on the environment of the earth has been studied during the cyclic changes in the Sun as well as episodic changes in the environment due to the effect of other celestial objects in between Sun-Earth environment. The study has been carried out based on the changes within the Sun as well as changes during the solar eclipse. During these extra terrestrial changes it has been observed that the earth changes in its atmosphere as well as geosphere, which may have local effect but the increase of these local effect in large scale may contribute to the climate change. Solar radiation drives atmospheric circulation. Since solar radiation represents almost all the energy available to the Earth, accounting for solar radiation and how it interacts with the atmosphere and the Earth's surface is fundamental to understanding the Earth's energy budget.

This book constitutes the refereed proceedings of the 7th International Conference on Geographic Information Science, GIScience 2012, held in Columbus, OH, USA in September 2012. The 26 full papers presented were carefully reviewed and selected from 57 submissions. While the traditional research topics are well reflected in the papers, emerging topics that involve new research hot-spots such as cyber infrastructure, big data, web-based computing also occupy a significant portion of the volume.

The Siberian environment is a unique region of the world that is both very strongly affected by global climate change and at the same time particularly vulnerable to its consequences. The news about the melting of sea ice in the Arctic Ocean and the prospect of an ice-free shipping passage from Scandinavia to Alaska along the Russian north coast has sparked an international debate about natural resource exploitation, national boundaries and the impacts of the rapid changes on people, animals and plants. Over the last decades Siberia has also witnessed severe forest fires to an extent that is hard to imagine in other parts of the world where the po- lation density is higher, the fire-prone ecosystems cover much smaller areas and the systems of fire control are better resourced. The acceleration of the fire regime poses the question of the future of the boreal forest in the taiga region. Vegetation models have already predicted a shift of vegetation zones to the north under s- narios of global climate change. The implications of a large-scale expansion of the grassland steppe ecosystems in the south of Siberia and a retreat of the taiga forest into the tundra systems that expand towards the Arctic Ocean would be very signi- cant for the local population and the economy. I have studied Russian forests from remote sensing and modelling for about 11 years now and still find it a fascinating subject to investigate.

Major advances in the use of geographic information systems have been made in both anthropology and archaeology. Yet there are few published discussions of these new applications and their use in solving complex problems. This book explores these techniques, showing how they have been successfully deployed to pursue research previously considered too difficult - or impossible - to undertake. Among the projects described here are studies of land degradation in the Peruvian Amazon, settlement patterns in the Pacific northwest, ethnic distribution within the Los Angeles garment industry, and prehistoric sociopolitical development among the Anasazi. Following an introduction that discusses the theory of geographic information systems in relation to anthropological inquiry, the book is divided into sections demonstrating actual applications in cultural anthropology, archaeology, opaleoanthropology, and physical anthropology. The work will be of much interest within all these communities.

Through the results of a developed case study of information system for low temperature geothermal energy, GIS to Support Cost-effective Decisions on Renewable Sources addresses the issue of the use of Geographic Information Systems (GIS) in evaluating cost-effectiveness of renewable resource exploitation on a regional scale. Focusing on the design of a Decision Support System, a process is presented aimed to transform geographic data into knowledge useful for analysis and decision-making on the economic exploitation of geothermal energy. This detailed description includes a literature review and technical issues related to data collection, data mining, decision analysis for the informative system developed for the case study. A multi-disciplinary approach to GIS design is presented which is also an innovative example of fusion of georeferenced data acquired from multiple sources including remote sensing, networks of sensors and socio-economic censuses. GIS to Support Cost-effective Decisions on Renewable Sources is a useful, practical reference for engineers, managers and researchers involved in the design of GIS, decision support systems, investment planning/strategy in renewable energy and ICT innovation in this field.

Geometric properties and relations play central roles in the description and processing of spatial data. The properties and relations studied by mathematicians usually have precise definitions, but verbal descriptions often involve imprecisely defined concepts such as elongatedness or proximity. The methods used in soft computing provide a framework for formulating and manipulating such concepts. This volume contains eight papers on the soft definition and manipulation of spatial relations and gives a comprehensive summary on the subject.

Currently, spatial analysis is becoming more important than ever because enormous volumes of spatial data are available from different sources, such as GPS, Remote Sensing, and others.

This book deals with spatial analysis and modelling. It provides a comprehensive discussion of spatial analysis, methods, and approaches related to human settlements and associated environment. Key contributions with empirical case studies from Iran, Philippines, Vietnam, Thailand, Nepal, and Japan that apply spatial analysis including autocorrelation, fuzzy, voronoi, cellular automata, analytic hierarchy process, artificial neural network, spatial metrics, spatial statistics, regression, and remote sensing mapping techniques are compiled comprehensively. The core value of this book is a wide variety of results with state of the art discussion including empirical case studies.

It provides a milestone reference to students, researchers, planners, and other practitioners dealing the spatial problems on urban and regional issues.

We arepleased to announce that this book has been presented with the 2011 publishing award from the GIS Association of Japan.
We would like to congratulate the authors

"

This book reports on developments in Proximal Soil Sensing (PSS) and high resolution digital soil mapping. PSS has become a multidisciplinary area of study that aims to develop field-based techniques for collecting information on the soil from close by, or within, the soil. Amongst others, PSS involves the use of optical, geophysical, electrochemical, mathematical and statistical methods. This volume, suitable for undergraduate course material and postgraduate research, brings together ideas and examples from those developing and using proximal sensors and high resolution digital soil maps for applications such as precision agriculture, soil contamination, archaeology, peri-urban design and high land-value applications, where there is a particular need for high spatial resolution information. The book in particular covers soil sensor sampling, proximal soil sensor development and use, sensor calibrations, prediction methods for large data sets, applications of proximal soil sensing, and high-resolution digital soil mapping. Key themes: soil sensor sampling - soil sensor calibrations - spatial prediction methods - reflectance spectroscopy - electromagnetic induction and electrical resistivity - radar and gamma radiometrics - multi-sensor platforms - high resolution digital soil mapping - applications Raphael A. Viscarra Rossel is a scientist at the Commonwealth Scientific and Industrial Research Organisation (CSIRO) of Australia. Alex McBratney is Pro-Dean and Professor of Soil Science in the Faculty of Agriculture Food & Natural Resources at the University of Sydney in Australia. Budiman Minasny is a Senior Research Fellow in the Faculty of Agriculture Food & Natural Resources at the University of Sydney in Australia.

This bookisan outgrowthoften yearsof researchatthe Universityof Florida Computational NeuroEngineering Laboratory (CNEL) in the general area of statistical signal processing and machine learning. One of the goals of writing the book is exactly to bridge the two ?elds that share so many common problems and techniques but are not yet e?ectively collaborating. Unlikeotherbooks thatcoverthe state ofthe artinagiven?eld, this book cuts across engineering (signal processing) and statistics (machine learning) withacommontheme: learningseenfromthepointofviewofinformationt- orywithanemphasisonRenyi'sde?nitionofinformation.Thebasicapproach is to utilize the information theory descriptors of entropy and divergence as nonparametric cost functions for the design of adaptive systems in unsup- vised or supervised training modes. Hence the title: Information-Theoretic Learning (ITL). In the course of these studies, we discovered that the main idea enabling a synergistic view as well as algorithmic implementations, does not involve the conventional central moments of the data (mean and covariance). Rather, the core concept is the ?-norm of the PDF, in part- ular its expected value (? = 2), which we call the information potential. This operator and related nonparametric estimators link information theory, optimization of adaptive systems, and reproducing kernel Hilbert spaces in a simple and unconventional way.

This book documents research conducted on the analysis of urban growth and sprawl by using remote sensing data and GIS techniques. The research was conducted between 1980-2010 in the city of Kolkata, India. The aim of the research was to use metrics that were less demanding in terms of data and computation than normal metrics. However, it has been found that most of them were inferior in capturing insights of urban sprawl. For this book, some of these metrics have therefore been modified and new ones are proposed. The research focuses on problems associated with the analysis of urban growth by using remote sensing data from a technological perspective.

This book is intended to provide a text on statistical methods for detecting clus ters and/or clustering of health events that is of interest to ?nal year undergraduate and graduate level statistics, biostatistics, epidemiology, and geography students but will also be of relevance to public health practitioners, statisticians, biostatisticians, epidemiologists, medical geographers, human geographers, environmental scien tists, and ecologists. Prerequisites are introductory biostatistics and epidemiology courses. With increasing public health concerns about environmental risks, the need for sophisticated methods for analyzing spatial health events is immediate. Further more, the research area of statistical tests for disease clustering now attracts a wide audience due to the perceived need to implement wide ranging monitoring systems to detect possible health related bioterrorism activity. With this background and the development of the geographical information system (GIS), the analysis of disease clustering of health events has seen considerable development over the last decade. Therefore, several excellent books on spatial epidemiology and statistics have re cently been published. However, it seems to me that there is no other book solely focusing on statistical methods for disease clustering. I hope that readers will ?nd this book useful and interesting as an introduction to the subject.

This book is devoted to some of the problems encountered in the theory of sophisticated signals used in radar. The term sophisticated signal is under stood to mean a signal for which the product of the signal duration by the spectrum width substantially exceeds unity. Although it is impossible to draw an exact borderline between simple and sophisticated signals, the term "sophisticated signal" is sufficient to define one of the principal characteristics of modern radar. Recently, various sophisticated signals (frequency-modulated pulses, coded groups, phase-modulated signals, etc.) have found use in radar. This makes it possible to improve the resolution, to ensure simultaneous measurements of the range and range rate of a target, to elecrically scan over finite angular dimensions, etc. Although the realization of such potentialities is associated with substantial difficulties, one can say with certainty that "classical" radar technology, which uses simple signals at constant frequency and duty cycle, yields to more complex methods based on the use of wide-band signals of the sophisticated structure. The properties of radar signals, which characterize the measurement of a target's range and range rate, are described by the Woodward ambiguity function. The role of this function is similar to that of the antenna pattern, i.e., the ambiguity function defines the accuracy and resolution of the range and range rate measurements to the same extent as the antenna pattern de fines the accuracy and resolution of the azimuth and elevation measurements."

For the fourth consecutive year, the Association of Geographic Infor- tion Laboratories for Europe (AGILE) promoted the edition of a book with the collection of the scientific papers that were submitted as full-papers to the AGILE annual international conference. Those papers went through a th competitive review process. The 13 AGILE conference call for fu- papers of original and unpublished fundamental scientific research resulted in 54 submissions, of which 21 were accepted for publication in this - lume (acceptance rate of 39%). Published in the Springer Lecture Notes in Geoinformation and Car- th graphy, this book is associated to the 13 AGILE Conference on G- graphic Information Science, held in 2010 in Guimaraes, Portugal, under the title "Geospatial Thinking." The efficient use of geospatial information and related technologies assumes the knowledge of concepts that are fundamental components of Geospatial Thinking, which is built on reasoning processes, spatial conc- tualizations, and representation methods. Geospatial Thinking is associated with a set of cognitive skills consisting of several forms of knowledge and cognitive operators used to transform, combine or, in any other way, act on that same knowledge. The scientific papers published in this volume cover an important set of topics within Geoinformation Science, including: Representation and Visualisation of Geographic Phenomena; Spatiotemporal Data Analysis; Geo-Collaboration, Participation, and Decision Support; Semantics of Geoinformation and Knowledge Discovery; Spatiotemporal Modelling and Reasoning; and Web Services, Geospatial Systems and Real-time Appli- tions."

Over the past 20 years the costs of natural disasters have escalated significantly. The lives of over 800 million people have been disrupted and the number of catastrophes has nearly quadrupled. At present, the increasing global threat of natural disasters, in spite of our increased knowledge, is ominous. With the growth in world population, the increasing of resources in newly developing areas, and the increasing cost and sophistication of engineering structures and technical installations, there is an urgent need to seek to understand the potential threats posed by natural hazards and to ascertain the best ways of mitigating their damaging effects. To meet this urgent threat, the United Nations (UN) General Assembly in December 22, 1989 passed a Resolution which declared the 1990s to be the International Decade for Natural Disaster Reduction (IDNDR). As a contribution to the decade, the International Symposium Hazards--91 was held in Perugia, Italy, during 4--9 August 1991. The conference was attended by specialists from 34 countries, and a total of 110 papers were presented at 20 sessions, covering a very broad range of topics which proved to be of significant value for future research. The sixteen articles included in this book provide a unique overview of the state-of-the-science in geophysical hazards including climatic, atmospheric, hydrological and geological hazards. Furthermore, the results of a panel on the IDNDR and the recommendations adopted during the meeting are presented at the end of this volume. Recent Studies in Geophysical Hazards is thus an excellent reference source for scientists, engineers, and policy makers.

This book examines how Geographic Information Technologies (GIT) are being implemented to improve our understanding of a variety of hazard and disaster situations. The volume is a compilation of recent research using Geographic Information Systems (GIS), Remote Sensing (RS) and other technologies such as Global Positioning Systems (GPS) to examine urban hazard and disaster issues. The goal is to improve and advance the use of such technologies during four classic phases of hazard and disaster research: response, recovery, preparation and mitigation. The focus is on urban areas, broadly defined in order to encompass rapidly growing and densely populated areas.

The material presented is multidisciplinary, with contributions from scholars in Africa, Asia, Europe, Latin America and North America, and is presented in five key sections:

• sea level rise and flood analysis
• earthquakes and tsunamis and international applications
• hurricane response/recovery
• metropolitan case studies
• evacuation studies

This volume contributes to our understanding of extreme events in urban environments with the use of GIT and expanding its role at the local, regional, state and federal levels. The book is a valuable reference for academic researchers and professionals and practitioners working in hazard management and mitigation.

Landforms constitute boundary surfaces between different components of the earth system (atmosphere, hydrosphere, biosphere, pedosphere, lithosphere). At these locations most of the human activity on earth takes place. This central position evokes a bi-directional interaction with the other spheres of the earth system. S- tial landform structures strongly affect processes of other earth system components. At the same time, the land-surface is shaped by the in uence of these processes impacting geomorphologic processes and landform morphometry. These interactions are the focus in the Research Training Group 437 "Landform - a structured and variable boundary layer" at the University of Bonn in Germany. Funded by the German Research Foundation (Deutsche Forschungsgemeinschaft, DFG) the Research Training Group is a multidisciplinary research programme for postgraduate studies. Disciplines involved in this programme include: biology, c- matology, computer sciences, geodynamics, geology, geomorphology, geophysics, hydrology, mathematics, meteorology, pedology, and remote sensing. These diff- ent disciplines offer various scienti c approaches, theories, methods and data for the study of landforms within their speci c paradigms. Over a period of ten years (1998-2008) more than 25 PhD projects have been completed. Dedicated to ongoing and completed research activities of the Research Training Group an international symposium titled "Landform - structure, evolution, process control" was held at the Department of Geography, University of Bonn, in 2007.

In 2005 the CoastGIS symposium and exhibition was once again held in Aberdeen, Scotland, in the UK, the second time that we have had the privilege host this international event in the city of Aberdeen. This was the 6th International S- posium Computer Mapping and GIS for Coastal Zone Management, a collabo- tion between the International Cartographic Association's (ICA) Commission on Marine Cartography, and the International Geographical Union's (IGU) Comm- sion on Coastal Systems. The theme for 2005 was: De ning and Building a Marine and Coastal Spatial Data Infrastructure. As a major coastal event, the CoastGIS series of conferences always attracts an international audience of coastal researchers, managers, and pr- titioners who use one or more of the geospatial technologies (e. g. GIS, GPS, digital mapping, remote sensing, databases, and the Internet) in their work. The CoastGIS series is fundamentally an international event which over the years has gained a strong following attracting delegates from around the globe. Hosted by the University of Aberdeen - at the Aberdeen Exhibition and Conference Centre (AECC) - once again CoastGIS 2005 provided an opportunity to communicate the results of a wide range of innovative scienti c research into coastal and marine applications of the geospatial technologies, including remote sensing, Geograp- cal Information Systems (GIS), Global Positioning Systems (GPS), databases, data models, the Internet and online mapping systems.

Realistically representing our three-dimensional world has been the subject of many (philosophical) discussions since ancient times. While the recognition of the globular shape of the Earth goes back to Pythagoras' statements of the sixth century B. C. , the two-dimensional, circular depiction of the Earth's surface has remained prevailing and also dominated the art of painting until the late Middle Ages. Given the immature technological means, objects on the Earth's surface were often represented in academic and technical disciplines by two-dimensional cross-sections oriented along combinations of three mutually perpendicular directions. As soon as computer science evolved, scientists have steadily been improving the three-dimensional representation of the Earth and developed techniques to analyze the many natural processes and phenomena taking part on its surface. Both computer aided design (CAD) and geographical information systems (GIS) have been developed in parallel during the last three decades. While the former concentrates more on the detailed design of geometric models of object shapes, the latter emphasizes the topological relationships between geographical objects and analysis of spatial patterns. Nonetheless, this distinction has become increasingly blurred and both approaches have been integrated into commercial software packages. In recent years, an active line of inquiry has emerged along the junctures of CAD and GIS, viz. 3D geoinformation science. Studies along this line have recently made significant inroads in terms of 3D modeling and data acquisition.

An Interregional Expert Meeting on the Use of Satellite Imaging RADAR and Thematic Mapping in Natural Resources Development, organized by the Economic and Social Develop ment Center of the German Foundation for International Development - DSE - in co-operation with the United Nations Department of Technical Co-operation for Develop ment - DTCD - was held in Berlin (West) from 21 November to 4 December 1984. As a result of this meeting, the participants made the following recommendations: A. REMOTE SENSING SYSTEMS AND AVAILABILITY OF DATA 1. Acquisition Platforms and their Continuity The participants expressed concern over the insecurity which clouds the future of orbital remote sensing platforms - the U. S. Landsat series should be continued, if at all possible. The planned initial ten-year operational lifetime of SPOT is en couraging and received support. ESA/ERS 1, Japanl J-ERS 1 and Canada's RADARSAT programmes should be given full imple mentation commitment, as soon as possible, and plans should be developed for system continuity. The participants noted that development of national and regional remote sensing programmes in developing nations, and establishment and upgrading of appropriate ground receiving stations for these systems depends critically on the prospect of platform continuity. vii SATELLITE REMOTE SENSING FOR RESOURCES DEVELOPMENT 2. Future Developments (a) Future developments in microwave remote sensing from space should be encouraged so as to circumvent, among others, the problem of cloud cover and to facilitate extension of application areas."

"Remote Sensing"provides information on how remote sensing relates to the natural resources inventory, management, and monitoring, as well as environmental concerns. It explains the role of this new technology in current global challenges. "Remote Sensing" will discuss remotely sensed data application payloads and platforms, along with the methodologies involving image processing techniques as applied to remotely sensed data. This title provides information on image classification techniques and image registration, data integration, and data fusion techniques. How this technology applies to natural resources and environmental concerns will also be discussed.

CEOS was established under the auspices of the Economic Summit of Industrialized Nations in 1984 in response to a recommendation from a panel of experts in remote sensing within the Working Group on Growth, Technology and Employment (CEOS, 2009). The panel recognized the collective value of the world's Earth remote sensing capabilities and the advantages that would be gained by the coordination of civil Earth observing satellite missions. By cooperating in mission planning and the development of compatible data products, applications, services and policies, the national space programs would maximize the bene?ts of their individual inve- ments and be able to better address the environmental challenges of the entire international community. CEOS was to serve as the focal point for this inter- tional coordination and to provide the forum for the change of policy and technical information. The members of CEOS are governmental organizations that are international or national in nature and are responsible for a civil space-borne Earth observation program that is currently in operation or in an advanced stage of system devel- ment. CEOS also has established Associate Members that are similar governmental organizations with a civil space-segment activity in an early stage of system dev- opment or those with a signi?cant ground-segment activity that supports CEOS objectives. Associate Members may also be existing satellite coordination group and scienti?c or governmental bodies that are international in nature and have a signi?cant programmatic activity that likewise is aligned with the goals of CEOS.

Ptolemy was the most important physical scientist of the Roman Empire, and for a millennium and a half his writings on astronomy, astrology, and geography were models for imitation, resources for new work, and targets of criticism. Ptolemy in Perspective traces reactions to Ptolemy from his own times to ours. The nine studies show the complex processes by which an ancient scientist and his work gained and subsequently lost an overreaching reputation and authority.

consequences of broken symmetry -here parity-is studied. In this model, turbulence is dominated by a hierarchy of helical (corkscrew) structures. The authors stress the unique features of such pseudo-scalar cascades as well as the extreme nature of the resulting (intermittent) fluctuations. Intermittent turbulent cascades was also the theme of a paper by us in which we show that universality classes exist for continuous cascades (in which an infinite number of cascade steps occur over a finite range of scales). This result is the multiplicative analogue of the familiar central limit theorem for the addition of random variables. Finally, an interesting paper by Pasmanter investigates the scaling associated with anomolous diffusion in a chaotic tidal basin model involving a small number of degrees of freedom. Although the statistical literature is replete with techniques for dealing with those random processes characterized by both exponentially decaying (non-scaling) autocorrelations and exponentially decaying probability distributions, there is a real paucity of literature appropriate for geophysical fields exhibiting either scaling over wide ranges (e. g. algebraic autocorrelations) or extreme fluctuations (e. g. algebraic probabilities, divergence of high order statistical moments). In fact, about the only relevant technique that is regularly used -fourier analysis (energy spectra) -permits only an estimate of a single (power law) exponent. If the fields were mono-fractal (characterized by a single fractal dimension) this would be sufficient, however their generally multifractal character calls for the development of new techniques.