1 2 Michel M. VERSTRAETE and Martin BENISTON 1 Space Applications Institute, EC Joint Research Centre, Ispra, Italy 2 Department of Geography, University of Fribourg, Switzerland This volume contains the proceedings ofthe workshop entitled "Satellite Remote Sensing and Climate Simulations: Synergies and Limitations" that took place in Les Diablerets, Switzerland, September 20-24, 1999. This international scientific conference aimed at addressing the current and pot- tial role of satellite remote sensing in climate modeling, with a particular focus on land surface processes and atmospheric aerosol characterization. Global and regional circulation models incorporate our knowledge ofthe dynamics ofthe Earth's atmosphere. They are used to predict the evolution of the weather and climate. Mathematically, this system is represented by a set ofpartial differential equations whose solution requires initial and bo- dary conditions. Limitations in the accuracy and geographical distribution of these constraints, and intrinsic mathematical sensitivity to these conditions do not allow the identification of a unique solution (prediction). Additional observations on the climate system are thus used to constrain the forecasts of the mathematical model to remain close to the observed state ofthe system.

Recent studies indicate that - due to climate change - the Earth is undergoing rapid changes in all cryospheric components, including polar sea ice shrinkage, mountain glacier recession, thawing permafrost, and diminishing snow cover. This book provides a comprehensive summary of all components of the Earth's cryosphere, reviewing their history, physical and chemical characteristics, geographical distributions, and projected future states. This new edition has been completely updated throughout, and provides state-of-the-art data from GlobSnow-2 CRYOSAT, ICESAT, and GRACE. It includes a comprehensive summary of cryospheric changes in land ice, permafrost, freshwater ice, sea ice, and ice sheets. It discusses the models developed to understand cryosphere processes and predict future changes, including those based on remote sensing, field campaigns, and long-term ground observations. Boasting an extensive bibliography, over 120 figures, and end-of-chapter review questions, it is an ideal resource for students and researchers of the cryosphere.

The innovation in space technologies has generated a new method for observing and monitoring tsunamis from space. Most tsunami remote sensing studies focus on using classical image processing tools or conventional edge detection procedures. However, these methods do not use modern physics, applied mathematics, signal communication, remote sensing data and innovative space technologies. This book equips readers to understand how to monitor tsunamis from space with remote sensing technology art to create a better alarm warning system.

Expert perspectives on SDI theory and practice The spatial data infrastructure (SDI) concept continues to evolve and become an increasingly important element of the infrastructure that supports economic development, environmental management, and social stability. Because of its dynamic and complex nature, however, it remains a fuzzy concept to many, and depending on their needs and circumstances, practitioners, researchers, and governments adopt different views of it. Developing Spatial Data Infrastructures: from Concept to Reality makes a timely contribution to the theory and practice of SDIs and breaks new ground in improving understanding of their relevance and value. It provides expert overviews of policies, concepts, standards, and practices associated with the design, implementation, and operation of SDIs. It introduces the concept of an SDI Hierarchy based on Hierarchical Spatial Reasoning, sets out the similarities and differences between SDIs operating within and between different jurisdictions, and identifies factors key to the success of SDI initiatives. Built on key contributions to the International Symposium on Spatial Data Infrastructure held in Melbourne in November 2001, this book is the first of its kind to provide address both the theoretical and practical aspects of developing appropriate SDIs. It offers unique, detailed discussions on the challenges and direction of future SDI development and thus provides an outstanding resource for those involved in building and maintaining SDIs and for GIS professionals and students.

Every map tells a story. Some provide a narrative for travellers, explorers and surveyors or offer a visual account of changes to people's lives, places and spaces, while others tell imaginary tales, transporting us to fictional worlds created by writers and artists. In turn, maps generate more stories, taking users on new journeys in search of knowledge and adventure. Drawing on the Bodleian Library's outstanding map collection and covering almost a thousand years, 'Talking Maps' takes a new approach to map-making by showing how maps and stories have always been intimately entwined. Including such rare treasures as a unique map of the Mediterranean from the eleventh-century Arabic 'Book of Curiosities', al-Sharif al-Idrisi's twelfth-century world map, C.S. Lewis's map of Narnia, J.R.R. Tolkien's cosmology of Middle-earth and Grayson Perry's twenty-first-century tapestry map, this fascinating book analyses maps as objects that enable us to cross sea and land; as windows into alternative and imaginary worlds; as guides to reaching the afterlife; as tools to manage cities, nations, even empires; as images of environmental change; and as digitized visions of the global future. By telling the stories behind the artefacts and those generated by them, 'Talking Maps' reveals how each map is not just a tool for navigation but also a worldly proposal that helps us to understand who we are by describing where we are.

This outstanding new book reveals through a series of case studies how modern digital photogrammetry is capable of providing dense and accurate spatial data to solve a wide range of contemporary measurement problems, and at a diverse range of scales. It outlines key principles and methods associated with modern imaging and puts this into context with other modern spatial measurement techniques, including a full discussion of laser scanning. It will therefore be of major importance to practitioners in a wide range of disciplines who require spatial data and have identified imaging as a tool that could be used. Each chapter focuses on a specific topic including archaeology/architecture, medicine/dentistry/sports science, forensics, landform evolution, industrial, manufacturing, engineering, biology and zoology, and provides specific examples which demonstrate the range in measurement scale achievable by photogrammetry.

Photopolarimetric remote sensing is vital in fields as diverse as medical diagnostics, astrophysics, atmospheric science, environmental monitoring and military intelligence. The areas considered here include: radiative transfer; dynamic systems; backscatter polarization; biological systems; astrophysical phenomena; comets; and instrumentation. Subtopics include observational information including determining morphology and chemistry, light-scattering models, and characterization methodologies. While this introductory text highlights the latest advances in this multi-disciplinary topic, it is also a reference guide for the advanced researcher.

Maps are tools used to understand space, discover territories, communicate information, and explain the results of geographical analysis. This practical handbook is about thematic cartography. With more than 120 colorful amazing illustrations, numerous boxed texts, definitions, and helpful tools, this step-by-step introduction to cartography is both the art of understanding the world and a powerful tool for explaining it. Through many hands-on tests, the reader will learn how to produce an interesting and communicative map applied to any spatial theme. Written by experienced scholars and experts in cartography, this book is an excellent resource for undergraduate students and non-cartographers interested in designing, understanding, and interpreting maps. It includes practical exercises explained in the form of a game and provides a concise, accessible, and current address of cartographic principles, allowing readers to go deeper into cartographic design. It can be read from beginning to end like an essay or just by dipping into it for information as needed.

The demand on local government to do more with less by improving operations, increasing productivity, and making better and more informed decisions increases constantly. On a departmental level Geographic Information Systems are helping meet this demand but the majority of local government organizations do not take the time to understand the GIS needs and opportunities of each and every department. This book: Discusses how towns, cities and counties and their specific departments should actually use GIS Explains the best ways to use GIS tools through many specific case studies and step by step instructions Emphasises local government needs first before offering solutions Gives readers a practical and understandable way of thinking about managing and making GIS successful This book is the guide that details best GIS applications and practices for the 34 departments in local government that can, and should, use GIS technology. It explains in details how, why, and what each department should implement, a clear and understandable explanation of departmental GIS.

Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms for Python, Fourth Edition, is focused on the development and implementation of statistically motivated, data-driven techniques for digital image analysis of remotely sensed imagery and it features a tight interweaving of statistical and machine learning theory of algorithms with computer codes. It develops statistical methods for the analysis of optical/infrared and synthetic aperture radar (SAR) imagery, including wavelet transformations, kernel methods for nonlinear classification, as well as an introduction to deep learning in the context of feed forward neural networks. New in the Fourth Edition: An in-depth treatment of a recent sequential change detection algorithm for polarimetric SAR image time series. The accompanying software consists of Python (open source) versions of all of the main image analysis algorithms. Presents easy, platform-independent software installation methods (Docker containerization). Utilizes freely accessible imagery via the Google Earth Engine and provides many examples of cloud programming (Google Earth Engine API). Examines deep learning examples including TensorFlow and a sound introduction to neural networks, Based on the success and the reputation of the previous editions and compared to other textbooks in the market, Professor Canty's fourth edition differs in the depth and sophistication of the material treated as well as in its consistent use of computer codes to illustrate the methods and algorithms discussed. It is self-contained and illustrated with many programming examples, all of which can be conveniently run in a web browser. Each chapter concludes with exercises complementing or extending the material in the text.

From medieval maps to digital cartograms, this book features highlights from the Bodleian Library's extraordinary map collection together with rare artefacts and some stunning examples from twenty-first-century map-makers. Each map is accompanied by a narrative revealing the story behind how it came to be made and the significance of what it shows. The chronological arrangement highlights how cartography has evolved over the centuries and how it reflects political and social change. Showcasing a twelfth-century Arabic map of the Mediterranean, highly decorated portolan charts, military maps, trade maps, a Siberian sealskin map, maps of heaven and hell, C.S. Lewis's map of Narnia, J.R.R. Tolkien's cosmology of Middle-earth and Grayson Perry's tapestry map, this book is a treasure-trove of cartographical delights spanning over a thousand years.

Terrain analysis has been an active study field for years and attracted research studies from geographers, surveyors, engineers and computer scientists. With the rapid growth of Geographical Information System (GIS) technology, particularly the establishment of high resolution Digital Elevation Models (DEM) at national level, the challenge is now focused on delivering justifiable socio-economical and environmental benefits. The contributions in this book represent the state of the art of terrain analysis methods and techniques in areas of digital representation, morphological and hydrological models, uncertainty and applications of terrain analysis.

Written by leading global experts, including pioneers in the field, the four-volume set on Hyperspectral Remote Sensing of Vegetation, Second Edition, reviews existing state-of- the-art knowledge, highlights advances made in different areas, and provides guidance for the appropriate use of hyperspectral data in the study and management of agricultural crops and natural vegetation. Volume II, Hyperspectral Indices and Image Classifications for Agriculture and Vegetation evaluates the performance of hyperspectral narrowband or imaging spectroscopy data with specific emphasis on the uses and applications of hyperspectral narrowband vegetation indices in characterizing, modeling, mapping, and monitoring agricultural crops and vegetation. This volume presents and discusses topics such as the non-invasive quantification of foliar pigments, leaf nitrogen concentration of cereal crop, the estimation of nitrogen content in crops and pastures, and forest leaf chlorophyll content, among others. The concluding chapter provides readers with useful guidance on the highlights and essence of Volume II through the editors' perspective. Key Features of Volume II: Provides the fundamentals of hyperspectral narrowband vegetation indices and hyperspectral derivative vegetation indices and their applications in agriculture and vegetation studies. Discusses the latest advances in hyperspectral image classification methods and their applications. Explains the massively big hyperspectral sensing data processing on cloud computing architectures. Highlights the state-of-the-art methods in the field of hyperspectral narrowband vegetation indices for monitoring agriculture, vegetation, and their properties such as plant water content, nitrogen, chlorophyll, and others at leaf, canopy, field, and landscape scales. Includes best global expertise on hyperspectral remote sensing of agriculture, crop water use, plant species detection, crop productivity and water productivity mapping, and modeling.

Written by leading global experts, including pioneers in the field, the four-volume set on Hyperspectral Remote Sensing of Vegetation, Second Edition, reviews existing stateof- the-art knowledge, highlights advances made in different areas, and provides guidance for the appropriate use of hyperspectral data in the study and management of agricultural crops and natural vegetation. Hyperspectral remote sensing or imaging spectroscopy data has been increasingly used in studying and assessing the biophysical and biochemical properties of agricultural crops and natural vegetation. Volume III, Biophysical and Biochemical Characterization and Plant Species Studies demonstrates the methods that are developed and used to study terrestrial vegetation using hyperspectral data. This volume includes extensive discussions on hyperspectral data processing and how to implement data processing mechanisms for specific biophysical and biochemical applications such as crop yield modeling, crop biophysical and biochemical property characterization, and crop moisture assessments. The concluding chapter provides readers with useful guidance on the highlights and essence of Volume III through the editors' perspective. Key Features of Volume III: Covers recent abilities to better quantify, model, and map plant biophysical, biochemical water, and structural properties. Demonstrates characteristic hyperspectral properties through plant diagnostics or throughput phenotyping of plant biophysical, biochemical, water, and structural properties. Establishes plant traits through hyperspectral imaging spectroscopy data as well as its integration with other data, such as LiDAR, using data from various platforms (ground-based, UAVs, and earth-observing satellites). Studies photosynthetic efficiency and plant health and stress through hyperspectral narrowband vegetation indices. Uses hyperspectral data to discriminate plant species and\or their types as well as their characteristics, such as growth stages. Compares studies of plant species of agriculture, forests, and other land use\land cover as established by hyperspectral narrowband data versus multispectral broadband data. Discusses complete solutions from methods to applications, inventory, and modeling considering various platform (e.g., earth-observing satellites, UAVs, handheld spectroradiometers) from where the data is gathered. Dwells on specific applications to detect and map invasive species by using hyperspectral data.

Written by leading global experts, including pioneers in the field, the four-volume set on Hyperspectral Remote Sensing of Vegetation, Second Edition, reviews existing state-of-the-art knowledge, highlights advances made in different areas, and provides guidance for the appropriate use of hyperspectral data in the study and management of agricultural crops and natural vegetation. Volume I, Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation introduces the fundamentals of hyperspectral or imaging spectroscopy data, including hyperspectral data processes, sensor systems, spectral libraries, and data mining and analysis, covering both the strengths and limitations of these topics. This book also presents and discusses hyperspectral narrowband data acquired in numerous unique spectral bands in the entire length of the spectrum from various ground-based, airborne, and spaceborne platforms. The concluding chapter provides readers with useful guidance on the highlights and essence of Volume I through the editors' perspective. Key Features of Volume I: Provides the fundamentals of hyperspectral remote sensing used in agricultural crops and vegetation studies. Discusses the latest advances in hyperspectral remote sensing of ecosystems and croplands. Develops online hyperspectral libraries, proximal sensing and phenotyping for understanding, modeling, mapping, and monitoring crop and vegetation traits. Implements reflectance spectroscopy of soils and vegetation. Enumerates hyperspectral data mining and data processing methods, approaches, and machine learning algorithms. Explores methods and approaches for data mining and overcoming data redundancy; Highlights the advanced methods for hyperspectral data processing steps by developing or implementing appropriate algorithms and coding the same for processing on a cloud computing platform like the Google Earth Engine. Integrates hyperspectral with other data, such as the LiDAR data, in the study of vegetation. Includes best global expertise on hyperspectral remote sensing of agriculture, crop water use, plant species detection, crop productivity and water productivity mapping, and modeling.

This book explores the applicability of multiple remote sensors to acquire information relevant to restoration and conservation efforts in wetlands using data collected from airborne and space multispectral/hyperspectral sensors, light detection and ranging (LiDAR), Unmanned Aircraft Systems (UAS), and a hand-held spectroradiometer. This book also examines digital data processing techniques such as object-based image analysis, machine learning, texture analysis, and data fusion. After an introduction to the Everglades and to remote sensing, the book is divided into four parts based on the sensor systems used. There are chapters on vegetation mapping, biomass and water quality modeling, applications of hyperspectral data for plant stress analysis and coral reef mapping, studies of airborne LiDAR data for coastal vulnerability analysis and DEM improvement, as well as chapters that explore a fusion of multiple sensors for different datasets. Features Introduces concepts, theories, and advanced processing techniques A complete introduction of machine learning, object-based image analysis, data fusion, and ensemble analysis techniques in processing data from multiple remote sensors Explains how multiple remote sensing systems are applied in the wetland ecosystems of Florida The author had been teaching and using both systems and her research is widely recognized Multi-sensor System Applications in the Everglades Ecosystems provides a comprehensive application of remote sensing techniques in the Florida Everglades and its coastal ecosystems. It will prove an invaluable resource for the restoration and conservation of the Florida Everglades and beyond, for global wetlands in general. Any professional, scientist, engineer, or student working with remote sensing and wetland ecosystems will reap enormous benefits from this book.

The Open Access version of this book, available at http://www.tandfebooks.com/doi/view/10.1201/9781315146638, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 3.0 license. GIS is used today to better understand and solve urban problems. GIS in Sustainable Urban Planning and Management: A Global Perspective, explores and illustrates the capacity that geo-information and GIS have to inform practitioners and other participants in the processes of the planning and management of urban regions. The first part of the book addresses the concept of sustainable urban development, its different frameworks, the many ways of measuring sustainability, and its value in the urban policy arena. The second part discusses how urban planning can shape our cities, examines various spatial configurations of cities, the spread of activities, and the demands placed on different functions to achieve strategic objective. It further focuses on the recognition that urban dwellers are increasingly under threat from natural hazards and climate change. Written by authors with expertise on the applications of geo-information in urban management, this book showcases the importance of GIS in better understanding current urban challenges and provides new insights on how to apply GIS in urban planning. It illustrates through real world cases the use of GIS in analyzing and evaluating the position of disadvantaged groups and areas in cities and provides clear examples of applied GIS in urban sustainability and urban resilience. The idea of sustainable development is still very much central in the new development agenda of the United Nations, and in that sense, it is of particular importance for students from both the Global South and Global North. Professionals, researchers, and students alike will find this book to be an invaluable resource for understanding and solving problems relating to sustainable urban planning and management.

This book shows how Geospatial Information Systems (GIS) can be used for operations management in public institutions. It covers theory and practical applications, ranging from tracking public health trends to mapping transportation routes to charting the safest handling of hazardous materials. Along with an expert line-up of contributors and case studies, the editor provides a complete overview of how to use GIS as part of a successful, collaborative data analysis, and how to translate the information into cost-saving decisions, or even life-saving ones.

1. Provides the fundamentals of feature extraction methods and applications along with fundamentals of machine learning. 2. Discusses in detail the advantages of using machine learning in geospatial feature extraction. 3. Explains the methods for estimating object height from optical satellite remote sensing images using Python, R, QGIS, and GRASS GIS implementations. 4. Includes case studies that demonstrate the use of machine learning models for building footprint extraction and photogrammetric methods for height assessment. 5. Highlights the potential of machine learning and geospatial technology for future project developments.

The chapters in this volume were presented at the July-August 2008 NATO Advanced Study Institute on Unexploded Ordnance Detection and Mitigation. The conference was held at the beautiful Il Ciocco resort near Lucca, in the glorious Tuscany region of northern Italy. For the ninth time we gathered at this idyllic spot to explore and extend the reciprocity between mathematics and engineering. The dynamic interaction between world-renowned scientists from the usually disparate communities of pure mathematicians and applied scientists which occurred at our eight previous ASI's continued at this meeting. The detection and neutralization of unexploded ordnance (UXO) has been of major concern for very many decades; at least since the First World war. UXO continues to be the subject of intensive research in many ?elds of science, incl- ing mathematics, signal processing (mainly radar and sonar) and chemistry. While today's headlines emphasize the mayhem resulting from the placement of imp- vised explosive devices (IEDs), humanitarian landmine clearing continues to draw signi?cant global attention as well. In many countries of the world, landmines threaten the population and hinder reconstruction and fast, ef?cient utilization of large areas of the mined land in the aftermath of military con?icts.

Although GIS provides powerful functionality for spatial analysis, data overlay and storage, these spatially oriented systems lack the ability to represent temporal dynamics, which is a major impediment to its use in surface modeling. However, rapid development of computing technology in recent years has made real-time spatial analysis and real-time data visualization become realizable. Based on newly developed methods, Surface Modeling: High Accuracy and High Speed Methods explores solutions to big-error and slow-efficiency problems, two critical challenges that have long plagued those working in with geographical information system (GIS) and computer-aided design (CAD). By developing high accuracy and high speed methods for surface modeling, the book builds a bridge between the mathematical-oriented theory of surface modeling and the user-oriented application where the user is actually able to retrieve information on the method itself. The author examines a novel method of high accuracy surface modeling (HASM) in terms of the fundamental theorem of surfaces. He then analyzes the coefficient matrix and develops an adaptive method of HASM (HASM-AM), a multi-grade method of HASM (HASM-MG), and an adjustment method of HASM (HASM-AD). He uses numerical tests and real world studies to demonstrate that HASM-AM, HASM-MG, and HASM-AD have highly accelerated computational speed, especially for simulations with huge computational work. Building on this, the book discusses a HASM-based method for dynamic simulation (HASM-FDS), and then applies HASM methods to simulate terrains, climate change, ecosystem change, land cover, and soil properties. It demonstrates HASM's potential for simulating population distribution, human carrying capacity, ecosystem services, ecological diversity, change detection, and wind velocity. The book concludes with a discussion of the problems that exist in surface modeling on a global level and evaluates possible solutions to these problems.

Geographical works, as socially constructed texts, provide a rich source for historians and historians of science investigating patronage, the governmental initiatives and support for science, and the governmental involvement in early modern commerce. Over the course of nearly two centuries (1594-1789), in adopting and adapting maps as tools of statecraft, the Bourbon Dynasty both developed patron-client relations with mapmakers and corporations and created scientific institutions with fundamental geographical goals. Concurrently, France-particularly, Paris-emerged as the dominant center of map production. Individual producers tapped the traditional avenues of patronage, touted the authority of science in their works, and sought both protection and legitimation for their commercial endeavors within the printing industry. Under the reign of the Sun King, these producers of geographical works enjoyed preeminence in the sphere of cartography and employed the familiar rhetoric of image to glorify the reign of Louis XIV. Later, as scientists and scholars embraced Enlightenment empiricism, geographical works adopted the rhetoric of scientific authority and championed the concept that rational thought would lead to progress. When France Was King of Cartography investigates over a thousand maps and nearly two dozen map producers, analyzes the map as a cultural artifact, map producers as a group, and the array of map viewers over the course of two centuries in France. The book focuses on situated knowledge or 'localized' interests reflected in these geographical productions. Through the lens of mapmaking, When France Was King of Cartography examines the relationship between power and the practice of patronage, geography, and commerce in early modern France.

Due to the rapid increase in the number of mobile device users worldwide, location-based services (LBSs) have become pervasive, and the demand for them will continue to grow. Exploring recent changes in the technology and its uses, Advanced Location-Based Technologies and Services takes an in-depth look at new and existing technologies, techniques, applications, and opportunities. Under the editorial guidance of Hassan Karimi, with contributions from experts in the field, the book examines the breadth and depth of advanced LBS technologies and techniques. The book provides up-to-date information on LBSs, including WiFi fingerprinting, geo-crowdsouring, and location privacy as well as application areas such as LBSs for public health, indoor navigation, pedestrian navigation, and advertising. Highlights include discussions of Location-Based Social Networking (LBSN) and the latest developments in geospatial clouds and how they can be used. It takes a look into the future with coverage of emerging technologies that will shape the future generation of LBSs. Carefully designed to cover a range of topics for readers at different levels and with different backgrounds, the book provides a balance of knowledge between LBS theories, technologies, and applications. The caliber of the contributions coupled with the depth of coverage make the book an essential resource for anyone exploring the potential of the latest developments in LBSs.