During the period April 25th to May 10th, 1984 the 3rd Course of the International School of Advanced Geodesy entitled "Optimization and Design of Geodetic Networks" took place in Erice. The main subject of the course is clear from the title and consisted mainly of that particular branch of network analysis, which results from applying general concepts of mathematical optimization to the design of geodetic networks. As al ways when dealing with optimization problems, there is an a-priori choice of the risk (or gain) function which should be minimized (or maximized) according to the specific interest of the "designer," which might be either of a scientific or of an economic nature or even of both. These aspects have been reviewed in an intro ductory lecture in which the particular needs arising in a geodetic context and their analytical representations are examined. Subsequently the main body of the optimization problem, which has been conven tionally divided into zero, first, second and third order design problems, is presented. The zero order design deals with the estimability problem, in other words with the definition of which parameters are estimable from a given set of observa tions. The problem results from the fact that coordinates of points are not univocally determined from the observations of relative quantities such as angles and distances, whence a problem of the optimal choice of a reference system, the so-called "datum problem" arises."

Globalisation has not led to the 'death of geography'. Intensified relations between communities in different parts of the world have only highlighted the need for understanding and managing phenomena on a variety of geographic scales. From global warming to credit crunch, and from epidemics to terrorism, causes and solutions are sought on local, regional, national as well as inter-continental levels. With the advent of Geospatial Technology, scholars, policymakers and entrepreneurs have valuable tools in hand to proceed.

This book offers the first systematic account of the science behind this mental and technological revolution. Tracing the adoption and dissemination of Geospatial Technology in a range of disciplines, it examines the impact this technology has had, and is likely to have, on the explanation of spatial behaviour, phenomena and processes. At the same time, stressing innovative usage, it explores scientific contributions to technology advancement.

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.

The use of air photographs as an aid to understanding and mapping natural resources has long been an established technique. The advent of satellite imagery was, and indeed by many still is, regarded as a very high altitude air photograph, but with the introduction of digital techniques the full analysis of imagery has become very sophisticated. Radar imagery presents the resource scientist with a new imaging technique that has to be understood and used, a technique which, although in many respects still in its infancy, has considerable applications potential for resources studies. Remote sensing now forms an element in study courses in the earth sciences in many major universities and a number of universities offer specialist post-graduate courses in remote sensing. Nevertheless there are a large number of earth scientists already working with imagery who have progressed from the air photograph base to satellite imagery. Such scientists may find themselves confronted with microwave or radar imagery or wish to use the imagery for surveys and find themselves hindered by a lack of understanding of the differences between radar imagery and optical imagery. Unfortunately reference to much of the literature will not be of very great help, many excellent text books on the theory and interaction of microwaves, on instrument design and construction and on the research carried out on specific target types exist, most of these are however written for specialists who are usually physicists not earth scientists.

The 7th International Conference on Basement Tectonics was held at Queen's University in Kingston, Ontario, Canada, from August 17th to 21st, 1987. Much ofthe conference was devoted to presentations and discussions on "Major Fracture Zones in the Earth's Crust" and "The Tectonic Evolution of North America" . Subsidiary themes at the conference were "Tectonic Controls of Cratonic Basins" and "Basement Structures and Metallogeny" . The conference was characterized by lively discussion amongst a diverse group of participants with a broad spectrum of interests, encouraged by the single-session format of the conference and a generous allotment of time for discussion following each presentation. The following presided over individual sessions and their assistance is greatly acknowledged: D.L. Baars, P.J. Barosh, M.J. Bartholomew, R.e. Bostrom, D.M. Carmichael, E.M. Chown, J.J. Gallagher, M.C. Gilbert, H. Helmstaedt, R.A. Hodgson, Y.O. Isachsen, J. Kutina, P.D. Lowman, S.P. Gay, Jr. and M.J. Rickard.

Wetlands are, by their very nature, ephemeral and transitional, which makes them challenging to characterize. Yet the need for characterizing wetlands continues to grow, particularly as we develop a better understanding of the wealth of ecosystem services that they provide. Wetland Landscape Characterization: Practical Tools, Methods, and Approaches for Landscape Ecology, Second Edition shows how wetland characterization tools, methods, and approaches can be integrated to more effectively address twenty-first-century wetland issues. A Practical Toolbox for Integrated Wetland Landscape Characterization The book explains how to locate, identify, and map the extent of wetlands to learn more about their importance to society and the larger landscape. It examines jurisdictional, regulatory, and practical applications from the scientific, engineering, and lay perspectives. Fully updated, the second edition reflects an emerging infrastructural, ecosystem goods-and-services perspective to better assist readers who may encounter these concepts and challenges as they assess and characterize wetlands. Examples and case studies illustrate a variety of situations and solutions, highlighting the use of current techniques to assess, inventory, and monitor natural resources under changing conditions. These examples offer lessons and ideas for the issues encountered every day by wetland landscape ecology practitioners. The book also refers readers to additional resources to help them solve specific challenges. New in This Edition Updates of practical geospatial methods More project-driven examples A description of the pitfalls of using ecological data at landscape scales, along with solutions Alternative techniques for a variety of practitioners Linkages between field and landscape ecological practices Online resources for practitioners New illustrations This book helps readers develop the concepts, skills, and understanding of how to best achieve project goals in the rapidly changing disciplines of landscape science and wetland ecology and management. A valuable resource, it provides practical tools, methods, and approaches for conceptualizing, designing, and implementing broad-scale wetland projects that take into account critical societal linkages.

Optical Metrology is a rapidly expanding field i'n both its scientific foundations and technological developments, being of major concern to measurements, quality control, non-destructive tes ting and in fundamental research. In order to define the state-of-the-art, and to evaluate pre sent accomplishments, whilst giving an appraisal of how each of the particular topics will evolve the Optical Metrology-anAdvancedStudy Institute was organized with a concourse of the world's acknowledged experts. Thus, the Institute provided a forum for tutorial reviews blended with topics of current research in the form of a progressive and comprehensive presentation of recent promising developments, lea ding techniques and instrumentation in incoherent and coherent optics for Metrology, Sensing and Control in Science, Industry and Biomedici ne. Optical Metrology is a very broad field which is highly inter disciplinary in its applications, and in its scientific and technolo gical background. It is related to such diverse disciplines as physi cal and chemical sciences, engineering, electronics, computer scien ces, biological sciences and theoretical sciences, such as statistics. Although there was an emphasis on photomechanics and industri al applications, a marked diversity was reflected in the different background and interests of the participants. The vitality and viabi lity of the discipline was enhanced not only by the encouraging number of young scientists and industrialists participating and authoring, but also by the remarkably promising prospects found in x the practical applications supported by advanced electronic hybridi zation."

It is the task of the engineer, as of any other professional person, to do everything that is reasonably possible to analyse the difficulties with which his or her client is confronted, and on this basis to design solutions and implement these in practice. The distributed hydrological model is, correspondingly, the means for doing everything that is reasonably possible - of mobilising as much data and testing it with as much knowledge as is economically feasible - for the purpose of analysing problems and of designing and implementing remedial measures in the case of difficulties arising within the hydrological cycle. Thus the aim of distributed hydrologic modelling is to make the fullest use of cartographic data, of geological data, of satellite data, of stream discharge measurements, of borehole data, of observations of crops and other vegetation, of historical records of floods and droughts, and indeed of everything else that has ever been recorded or remembered, and then to apply to this everything that is known about meteorology, plant physiology, soil physics, hydrogeology, sediment transport and everything else that is relevant within this context. Of course, no matter how much data we have and no matter how much we know, it will never be enough to treat some problems and some situations, but still we can aim in this way to do the best that we possibly can.

This book is a collection of the most recent and significant research on algorithms for the analysis of polar sea-ice SAR data. All algorithms are implemented and tested. One chapter is from the Alaskan SAR Facility, the major NASA archive of polar SAR data and a source of many SAR analysis algorithms, including high-level results of such analyses. One chapter has been written jointly by the US and Canadian Ice Centers, which provide e.g., operational sea-ice products to the shipping and oil-drilling industries and to polar explorations. This book will be useful to all researchers in the polar sciences community.

An up-to-date, detailed set of notes covering all aspects of NOAA AVHRR data collection, pre-processing, analysis and application. Includes many FTP sites, e-mail addresses and URL locations. Some chapters address particular aspects of the NOAA AVHRR system, such as radiometric calibration and geometric correction, while others provide general information of interest to any remote sensing study, such as radiative transfer modelling and atmospheric correction. The publication of a book that covers all important aspects of the treatment and understanding of the data in one volume makes the work a convenient, informative `recipe book' that is sure to become a favourite for all users of NOAA AVHRR data.

General circulation models (GCMs) predict certain changes in the amounts and distribution of precipitation, but the conversion of these predictions of impacts on water resources presents novel problems in hydrologic modeling, particularly with regard to the scale of the processes involved. Therefore improved, distributed GCMs are required. New remote sensing technologies provide the necessary spatially distributed data. However, there are many attendant problems with the translation of remotely sensed signals into hydrologically relevant information. This book elucidates how to improve the representation of land surface hydrologic processes in GCMs and in regional and global scale climate studies. It is divided into five sections: Models and Data; Precipitation; Soil Moisture; Evapotranspiration; Runoff.

In the past half century, we have experienced two major waves of methodological development in the study of human behavior in space and time. The fIrst wave was the well known "quantitative revolution" which propelled geography from a mainly descriptive discipline to a scientifIc discipline using formalism such as probability, statistics, and a large-number of mathematical methods for analyzing spatial structures and processes under certainty and uncertainty. The second wave is the recent advancement of geographical information systems which equips geographers with automation in the storage, retrieval, analysis, and display of data. Both developments have significant impacts on geographical studies in general and solutions to real life spatio-temporal problems in particular. They have found applications in urban and regional planning, automated mapping and facilities management, transportation planning and management, as well as environmental planning and management, to name but a few examples. Both developments have one thing in common. They one way or the other use computer to process and analyze data. However, not until recently, there has been very little interaction between the two. Quantitative models have largely been developed independent of the underlying data models and structures representing the spatial phenomena or processes under study. Display of analysis results has been primitive in terms of the utilization of computer graphic technologies. Formal models, in addition to their technical difficulties, have poor capability in communication with users. Geographical information systems, on the other hand, have originally been developed with a slight intention to entertain powerful analytical models.

This book is the latest volume in the series entitled " Data and Knowledge in a Changing World ", published by the Committee on Data for Science and Technology (CODATA) of the International Council of Scientific Unions (Icsu). This series was established to collect together, from many diverse fields, the wealth of information pertaining t.o the intelligent exploitation of data in the conduct of science and technology. This volume is the first in a two-volume series that will discuss techniques for the analysis of natural dynamic systems, and their applications to a variety of geophysical problems. The present volume lays out the theoretical foun dations for these techniques. The second volume will use these techniques in applications to fields such as seismology, geodynamics, geoelectricity, ge omagnetism, aeromagnetics, topography and bathymetry. The book consists of two parts, which describe two complementary ap proaches to the analysis of natural systems. The first, written by A. Gvishi ani, deals with dynamic pattern recognition. It lays out the mathematical VI Foreword theory and the formalized algorithms that. forms the basis for the classifi cation of vector objects and the use of this classification in the study of dynamical systems, with particular emphasis on the prediction of system behavior in space and time. It discusses the construction of classification schemes, and the evaluation of their stability and reliability.

Renaissance man " ... discovered many a mechanical marvel .... The achievement of the astronauts '" opened up comparable prospects to the men of today, but of infinitely wider scope". C. LUCET, French Ambassador to the United States.* "Any future ... must inevitably pass through the channel of combined disciplines ... (from which) will arise a humanization of state-of-the-art technology, and updating of methods of Earth Science." Author unknown.** "It is difficult to say what is impossible, for the dream of yesterday is the hope of today and reality tomorrow." ROBERT GODDARD, American physicist. This'phrase has become the symbol of NASA . * Is there a crisis of the spirit?, Bu/. Soc. Prof. Fr. en Amer. (1969) p. 9. *. La recherchespatiale [Space Research] (May 1969) p. 15. INTRODUCTION FROM GALILEO TO ALDRIN AND ARMSTRONG In 1610, Galileo observed the surface of the Moon through the lens which bears his name and announced that, contrary to official opinion, its surface was irregular and not smooth. We now know that this observation -and many others ofGalileo-was a correct one, but the opposition that always arises against research too far ahead of its time resulted in his condemnation.

Decision Support Systems for Risk-Based Management of Contaminated Sites addresses decision making in environmental risk management for contaminated sites, focusing on the potential role of decision support systems in informing the management of chemical pollutants and their effects. Considering the environmental relevance and the financial impacts of contaminated sites all over the post-industrialized countries and the complexity of decision making in environmental risk management, decision support systems can be used by decision makers in order to have a more structured analysis of a problem at hand and define possible options of intervention to solve the problem. Accordingly, the book provides an analysis of the main steps and tools for the development of decision support systems, namely: environmental risk assessment, decision analysis, spatial analysis and geographic information system, indicators and endpoints. Sections are dedicated to the review of decision support systems for contaminated land management and for inland and coastal waters management. Both include discussions of management problem formulation and of the application of specific decision support systems. This book is a valuable support for environmental risk managers and for decision makers involved in a sustainable management of contaminated sites, including contaminated lands, river basins and coastal lagoons. Furthermore, it is a basic tool for the environmental scientists who gather data and perform assessments to support decisions, developers of decision support systems, students of environmental science and members of the public who wish to understand the assessment science that supports remedial decisions.

Remote sensing is the study of a region from a distance, particularly from an airplane or a spacecraft. It is a tool that can be used in conjunction with other methods of research and investigation. This tool is especially applicable to the study of the deserts and arid lands of the Earth because of their immense size and their inaccessibility to detailed study by conventional means. In this book examples are given of the utility of aerial photographs and space images in the study of semi-arid, arid, and hyper-arid terrains. Emphasis is placed on the physical features and terrain types using examples from around the world. The authors I have called upon to prepare each chapter are renowned specialists whose contributions have received international recognition. To the general reader, this book is a review of our knowledge of the relatively dry parts of the Earth, their classification and varied features, their evolution in space and time, and their development potentials. To the specialist, it is a detailed account of the deserts and arid lands, not only in North America, but also their relatively unknown counterparts in North Africa, Australia, China, India, and Arabia.

The book provides comprehensive information on possible applications of remote sensing data for hydrological monitoring and modelling as well as for water management decisions. Mathematical theory is provided only as far as it is necessary for understanding the underlying principles.
The book is especially timely because of new programs and sensors that are or will be realised. ESA, NASA, NASDA as well as the Indian and the Brazilian Space Agency have recently launched satellites or developed plans for new sensor systems that will be especially pertinent to hydrology and water management.
New techniques are presented whose structure differ from conventional hydrological models due to the nature of remotely sensed data.

Within the framework of Ispra Courses, a course on "Applications of Remote Sensing to Agrometeorology" was held from April 6th to 10th, 1987 at the Joint Research Centre of the European Communities, Ispra Italy. The purpose of the course was to familiarize scientists, active in Agrometeorology and related fields, with remote sensing techniques and their potential applications in their respective disciplines. Conventional ground investigations in various fields of natural sciences such as hydrology, pedology and agrometeorology can be supple mented by a range of instruments carried by airborne or earth orbiting platforms. The last few years, in particular, have seen many developments in this respect and a growing amount of information can now be derived not only from dedicated earth resources satellites such as the LANDSAT and SPOT, but also from other platforms such as METEOSAT and the series of NOAA-TIROS. Future platforms (ERS-l, Space Station, etc.) with their advanced sensors will further broaden the range of applications open to the investigators. The use of these data sources, together with field investigations, can lead, at a reduced cost, to a better characterization of the spatial and temporal properties of natural systems."

Advancements in digital sensor technology, digital image analysis techniques, as well as computer software and hardware have brought together the fields of computer vision and photogrammetry, which are now converging towards sharing, to a great extent, objectives and algorithms. The potential for mutual benefits by the close collaboration and interaction of these two disciplines is great, as photogrammetric know-how can be aided by the most recent image analysis developments in computer vision, while modern quantitative photogrammetric approaches can support computer vision activities. Devising methodologies for automating the extraction of man-made objects (e.g. buildings, roads) from digital aerial or satellite imagery is an application where this cooperation and mutual support is already reaping benefits. The valuable spatial information collected using these interdisciplinary techniques is of improved qualitative and quantitative accuracy. This book offers a comprehensive selection of high-quality and in-depth contributions from world-wide leading research institutions, treating theoretical as well as implementational issues, and representing the state-of-the-art on this subject among the photogrammetric and computer vision communities.

The completion of this collection took many months, and, for a variety of reason, required the assistance and/or indulgence of a number of individuals. First and foremost, I would like to thank Tim Hudson for his useful input and support at the outset of the project Likewise, I would like to thank Jesse O. McKee for providing a hospitable environment during my affiliation with the University of Southern Mississippi. At Louisiana State University I am grateful to Sam Hilliard and Carville Earle for their invaluable understanding. The book became part of the GeoJoumal Library as a result of Wolf Tietze's confidence in the topic, and because of Henri G. van Dorssen's (and Kluwer Academic Publishers') good nab.lre - despite numerous 'problems'. Curtis C. Roseman, and the remainder of the Geography Department at the University of Southern California (where I completed many last minute details for the volume), are to be thanked for the cordial and warm environ ment I received while a visitor in Los Angeles. Finally, no multi-authored collection reaches completion without the help of many patient contributors. This particular book suffered many set-backs along the way, so I am particularly grateful to the authors herein. They demonstrated their compassion and exceptional professionalism throughout, by never second-guessing my decisions, and by allowing me to remedy the set-backs in my own way. They were a pleasure to work with, and they should take pride in their achievements."

This volume contains reviews on five different aspects of bioclimatology: (1) The establishment, maintenance and use of data from automatic weather station networks for agricultural purposes; (2) Techniques for estimating global and ultraviolet irradiance at the earth's surface, and the net radiation balance from operational satellite observations; (3) Mathematical models of the effects of climate on energy and mass balance in crop production; (4) Paleoecological and experimental studies of the response of stomatal density to changes in the atmospheric CO2 concentrations; and (5) The sensory and behavioral responses of insects and other invertebrates to small CO2 gradients resulting from plant and animal metabolism, considering the global changes in CO2 concentration and air temperature.

During the Conference on Air-Sea Interaction in January 1986, it was suggested to me by David Larner of Reidel Press that it may be timely for an updated compendium of air-sea interaction theory to be organized, developed, and published. Many new results were emerging at the time, i.e., results from the MARSEN, MAS EX, MILDEX, and TOWARD field projects (among others) were in the process of being reported and/or published. Further, a series of new experiments such as FASINEX and HEXOS were soon to be conducted in which new strides in our knowledge of air-sea fluxes would be made. During the year following the discussions with David Larner, it became apparent that many of the advances in air-sea interaction theory during the 1970s and 1980s were associated with sponsor investments in satellite oceanography and, in particular, remote sensing research. Since ocean surface remote sensing, e.g., scatterometry and SAR, requires intimate knowledge of ocean surface dynamics, advances in remote sensing capabilities required coordinated research in air-sea fluxes, wave state, scattering theory, sensor design, and data exploitation using environmental models. Based on this interplay of disciplines, it was decided that this book be devoted to air sea interaction and remote sensing as multi-disciplinary activities."

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.

J.-E DUBOIS and N. GERSHON As with Volume 1 in this series, this book was inspired by the Symposium on "Communications and Computer Aided Systems" held at the 14th International CODATA Conference in September 1994 in Chambery, France. This book was conceived and influenced by the discussions at the Symposium and most of the contributions were written following the Conference. Whereas the first volume dealt with the numerous challenges facing the information revolution, especially its communication aspects, this one provides an insight into the recent tools provided by computer science for handling the complex aspects of scientific and technological data. This volume, "Modeling Complex Data for Creating Information," is concerned with real and virtual objects often involved with data handling processes encountered frequently in modeling physical phenomena and systems behavior. Topics concerning modeling complex data for creating information include: * Object oriented approach for structuring data and knowledge * Imprecision and uncertainty in information systems * Fractal modeling and shape and surface processing * Symmetry applications for molecular data The choice of these topics reflects recent developments in information systems technologies. One example is object oriented technology. Recently, research, development and applications have been using object-oriented modeling for computer handling of data and data management. Object oriented technology offers increasingly easy-to-use software applications and operating systems. As a result, science and technology research and applications can now provide more flexible and effective services.

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.