Although much has been written on evidence-based policy making, this is the first volume to address the potential of GIS in this arena. GIS and Evidence-Based Policy Making covers the development of new methodological approaches, emphasizing the identification of spatial patterns in social phenomena. It examines organizational issues, including the development of new tools for policy making. This text brings together the results of researchers working across the entire spectrum of evidence-based policy making, focusing on the exploration for new data sources and examining ways to bring GIS-based methods to the public and to policy-makers.

Ten years ago the author, together with eight co-authors, edited a textbook Remote Sensing for Environmental Sciences within the series on Ecological Studies of Springer-Verlag. At that time there were not yet many books available on remote sensing. The decade that has elapsed was marked by a spectacular development in this field. This development took place in many directions: by widening the areas of application, by improvements of the methods and the sensors, by the introduction of new versatile platforms, but also by deepening the knowledge of the theoretical foundations. This evolution improved the ability to explain the interaction between electromagnetic radia tion and natural objects, which, in its turn, allowed for better modelization and for the creation of refined mathematical tools in the processing of remotely sensed data and in the determination of the physical status of remote objects. The community of research workers engaged in development and use of remote sensing methods changed accordingly from a modest group of scientists in the early 1970's to a considerable branch of specialized and interdisciplinary activity. The training of students had to be adapted to cope with the increasing number of people entering this new field and with the increasing quality of the material to be presented."

This book integrates spatial analysis into the study and management of conflicts, and offers a model in conflict studies that incorporates theoretical explanations of conflict, its causes, and impacts, with a geospatial strategy for intervening in disputes over allocation and use of natural resources (connects theory and practice). Alongside a theoretical analysis of resource conflicts and an account of Participatory Mapping and PGIS development, this book provides a case study of GIS applications in conflict mediation. The book also lays out a practical and straightforward demonstration of PGIS applications in conflict management using a real-world case study, and traces the Participatory Mapping and PGIS movements' evolution, compares PPGIS and PGIS practices, and makes distinctions between traditional GIS applications and PGIS practice. The approach embodies the enhanced use of spatial information and media, sets of tools for analyzing, mapping, and displaying spatial data and a platform for participatory discussions that enhances consensus-building. The book, therefore, contributes to the search for novel approaches for managing current and emerging conflicts. With this book, resource managers, development practitioners, students, and scholars of Participatory Mapping and PGIS applications and conflict studies will be equipped with the principles, skills, and the tools they need to manage non-violent resource conflicts and keep the disputes from slipping into violence. The book will also be a valuable text for basic and advanced studies in Participatory Mapping and PGIS applications, Conflict Resolution and Conflict Management.

Climate adaptation is a timely yet complex topic that does not fit squarely into any one disciplinary realm. Geospatial Applications for Climate Adaptation Planning presents an overview of the range of strategies, tools, and techniques that must be used to assess myriad overlapping vulnerabilities and to formulate appropriate climate-relevant solutions at multiple scales and in varying contexts. Organized into four sections, the book includes 15 chapters. Each chapter is grounded in the literature and presents case studies designed by the authors, as well as many examples from a diverse international group of scholars and entities in the public and private sectors. Areas covered include: Climate Change and Climate Adaptation Planning: Context and Concepts Geospatial Technologies: Fundamentals and Terminology GIS and Climate Vulnerability Assessments Technical Approaches to Formulating Mitigation and Adaptation Strategies Geospatial Applications for Climate Adaptation Planning is aimed at advanced students, researchers, and entities in the public and private sectors. It also provides supplementary reading for courses in planning, public administration, policy studies, and disaster management.

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 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.

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 IV, Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation discusses the use of hyperspectral or imaging spectroscopy data in numerous specific and advanced applications, such as forest management, precision farming, managing invasive species, and local to global land cover change detection. It emphasizes the importance of hyperspectral remote sensing tools for studying vegetation processes and functions as well as the appropriate use of hyperspectral data for vegetation management practices. The concluding chapter provides readers with useful guidance on the highlights and essence of Volume IV through the editors' perspective. Key Features of Volume IV: Guides readers to harness the capabilities of the most recent advances in applying hyperspectral remote sensing technology to the study of terrestrial vegetation. Includes specific applications on agriculture, crop management practices, study of crop stress and diseases, crop characteristics based on inputs (e.g., nitrogen, irrigation), study of vegetation impacted by heavy metals, gross and net primary productivity studies, light use efficiency studies, crop water use and actual evapotranspiration studies, phenology monitoring, land use and land cover studies, global change studies, plant species detection, wetland and forest characterization and mapping, crop productivity and crop water productivity mapping, and modeling. Encompasses hyperspectral or imaging spectroscopy data in narrow wavebands used across visible, red-edge, near-infrared, far-infrared, shortwave infrared, and thermal portions of the spectrum. Explains the implementation of hyperspectral remote sensing data processing mechanisms in a standard, fast, and efficient manner for their applications. Discusses cloud computing to overcome hyperspectral remote sensing massive big data challenges. Provides hyperspectral analysis of rocky surfaces on the earth and other planetary systems.

The fourth edition of this highly regarded and successful text continues to provide a clear and accessible introduction to the world of GIS for students and professionals. With an increased focus on the practical applications of GIS, the new edition features a wealth of new multi-disciplinary case studies and examples of GIS in practice, demonstrating how it is used worldwide and within a variety of different industries.

Furthermore, the new edition has been substantially revised and updated to include coverage of the latest advances in GIS such as web and mobile applications.

"An Introduction to Geographical Information Systems "is suitable for students of Geographical Information studies at all levels, from undergraduate to professionals retraining in GIS.

GIS-T, an increasingly popular field, is the branch of GIS related to transportation. This professional reference/graduate level text presents a comprehensive and rigorous analysis of GIS-T applications in the analysis and planning of transportation systems.

High spatial resolution remote sensing is an area of considerable current interest and builds on developments in object-based image analysis, commercial high-resolution satellite sensors, and UAVs. It captures more details through high and very high resolution images (10 to 100 cm/pixel). This unprecedented level of detail offers the potential extraction of a range of multi-resource management information, such as precision farming, invasive and endangered vegetative species delineation, forest gap sizes and distribution, locations of highly valued habitats, or sub-canopy topographic information. Information extracted in high spatial remote sensing data right after a devastating earthquake can help assess the damage to roads and buildings and aid in emergency planning for contact and evacuation. To effectively utilize information contained in high spatial resolution imagery, High Spatial Resolution Remote Sensing: Data, Analysis, and Applications addresses some key questions: What are the challenges of using new sensors and new platforms? What are the cutting-edge methods for fine-level information extraction from high spatial resolution images? How can high spatial resolution data improve the quantification and characterization of physical-environmental or human patterns and processes? The answers are built in three separate parts: (1) data acquisition and preprocessing, (2) algorithms and techniques, and (3) case studies and applications. They discuss the opportunities and challenges of using new sensors and platforms and high spatial resolution remote sensing data and recent developments with a focus on UAVs. This work addresses the issues related to high spatial image processing and introduces cutting-edge methods, summarizes state-of-the-art high spatial resolution applications, and demonstrates how high spatial resolution remote sensing can support the extraction of detailed information needed in different systems. Using various high spatial resolution data, the third part of this book covers a range of unique applications, from grasslands to wetlands, karst areas, and cherry orchard trees.

In spatial data science, things in closer proximity to one another likely have more in common than things that are farther apart. With this practical book, geospatial professionals, data scientists, business analysts, geographers, geologists, and others familiar with data analysis and visualization will learn the fundamentals of spatial data analysis to gain a deeper understanding of their data questions. Author Bonny P. McClain demonstrates why detecting and quantifying patterns in geospatial data is vital. Both proprietary and open source platforms allow you to process and visualize spatial information. This book is for people familiar with data analysis or visualization who are eager to explore geospatial integration with Python. This book helps you: Understand the importance of applying spatial relationships in data science Select and apply data layering of both raster and vector graphics Apply location data to leverage spatial analytics Design informative and accurate maps Automate geographic data with Python scripts Explore Python packages for additional functionality Work with atypical data types such as polygons, shape files, and projections Understand the graphical syntax of spatial data science to stimulate curiosity

Wireless Sensor Networks overcome the difficulties of other monitoring systems. However, they require further efficiencies for Outdoor Environment Monitoring (OEM) applications due to their harsh operational conditions, huge targeted areas, limited energy budget, and required 3D setups. A fundamental issue in defeating these practical challenges is deployment planning. The deployment plan is a key factor of many intrinsic properties of OEM networks, summarized in connectivity, lifetime, fault-tolerance, and cost-effectiveness. This book investigates the problem of WSNs deployments that address these properties in order to overcome the unique challenges and circumstances in OEM applications.

Extreme weather and climate change aggravate the frequency and magnitude of disasters. Facing atypical and more severe events, existing early warning and response systems become inadequate both in scale and scope. Earth Observation (EO) provides today information at global, regional and even basin scales related to agrometeorological hazards. This book focuses on drought, flood, frost, landslides, and storms/cyclones and covers different applications of EO data used from prediction to mapping damages as well as recovery for each category. It explains the added value of EO technology in comparison with conventional techniques applied today through many case studies.

Fascinating and diverse, savanna ecosystems support a combination of pastoral and agropastoral communities alongside wild and domestic herbivores that can be found nowhere else. This diversity has made the study of these areas problematic. Ecosystem Function in Savannas: Measurement and Modeling at Landscape to Global Scales addresses some of the discontinuities in the treatment of savannas by the scientific community and documents a range of measurements, methods, technologies, applications, and modeling approaches. Based on contributions from leading authorities and experts on savanna systems worldwide, the book describes the global savanna biome in terms of its broad ecological properties, temporal dynamics, disturbance levels, and human dimensions. The text examines carbon, water, energy, and trace gas fluxes for major global savanna regions. It looks at quantitative surface properties of savannas that can be retrieved using remote sensing and numerical approaches used to explore savanna dynamics. The authors also discuss how savanna modeling and measurement approaches might be unified. By presenting this confluence of information in a single resource, the book provides a platform for examining synergies, connections, integrative opportunities, and complementarities among approaches and data sources. This information can then be used to harmonize measurement and modeling methods among scales and across disciplinary boundaries. The book builds a bridge across the markedly different perspectives on savannas by which ecologists, biogeochemists, remote sensors, geographers, anthropologists, and modelers approach their science.

Advanced information technology infrastructure is increasingly being employed in the Earth sciences to provide researchers with efficient access to massive central databases and to integrate diversely formatted information from a variety of sources. These geoinformatics initiatives enable manipulation, modeling and visualization of data in a consistent way, and are helping to develop integrated Earth models at various scales, and from the near surface to the deep interior. This book uses a series of case studies to demonstrate computer and database use across the geosciences. Chapters are thematically grouped into sections that cover data collection and management; modeling and community computational codes; visualization and data representation; knowledge management and data integration; and web services and scientific workflows. Geoinformatics is a fascinating and accessible introduction to this emerging field for readers across the solid Earth sciences and an invaluable reference for researchers interested in initiating new cyberinfrastructure projects of their own.

For one-semester courses in Introductory Remote Sensing as well as Introductory Airphoto Interpretation. This widely adopted book introduces the fundamentals of remote sensing from an earth resource (versus engineering) perspective. Emphasis is on turning remote sensing data into useful spatial biophysical or socio-economic information that can be used to make decisions.

You are here. Read on to see how to use GPS to get where you're going!

Got a GPS unit? Planning to buy one? Here's how to get all the benefits from that handy device. Most GPS receivers do much more than their owners realize. This book covers the basics (waypoints, tracks, coordinate systems) but also tells you all about using digital maps and Web-hosted mapping services, so you can venture forth with confidence.

Get the latest -- up-to-date information on the capabilities of popular handheld and automotive Global Positioning Systems

Make sense of maps -- learn more about how to read a map and how to get more from the free maps available online

A little technology -- discover a bit about GPS technology and understand its capabilities and limitations

What to look for -- when choosing the right GPS receiver for you

Compute this -- find out about digital mapping software and how to interface your GPS receiver with your computer

Where am I? -- understand what can affect your GPS reading and how accurate it will be

Get me there -- find your way around with Street Atlas USA(R), TopoFusion, Google Earth, and other tools

On and off-road -- explore topographical maps, aerial imagery, and the sport of geocaching

GPS at sea -- navigate the waters using your GPS with fish finders and nautical charts

Open the book and find:

The difference between smart and static maps

What a Geographic Information System is

How to work with map coordinate systems

How satellites and radio systems make GPS work

What GPS features you need for different activities

Why a cell phone with GPS capability isn't the same as a GPS unit

How to compare mapping software

What you need to start geocaching

Topographic Laser Ranging and Scanning, Second Edition, provides a comprehensive discussion of topographic LiDAR principles, systems, data acquisition, and data processing techniques. This edition presents an introduction and summary of various LiDAR systems and their principles and addresses the operational principles of the different components and ranging methods of LiDAR systems. It discusses the subsequent geometric processing of LiDAR data, with particular attention to quality, accuracy, and meeting standards and addresses the theories and practices of information extraction from LiDAR data, including terrain surface generation, forest inventory, orthoimage generation, building reconstruction, and road extraction. Written by leaders in the field, this comprehensive compilation is a must-have reference book for senior undergraduate and graduate students majoring or working in diverse disciplines, such as geomatics, geodesy, natural resources, urban planning, computer vision, and computer graphics. It is also vital resource for researchers who are interested in developing new methods and need in-depth knowledge of laser scanning and data processing and other professionals may gain the same from the broad topics addressed in this book. New in the Second Edition: A comprehensive array of new laser ranging and scanning technologies. Developments in LiDAR data format and processing techniques. Regrouping of surface modeling, representations and reconstruction. Enhanced discussions on the principles and fundamentals beyond small-footprint pulsed laser systems and new application examples. Many new examples and illustrations.

In terms of statistics, GIS offers many connections. With GIS, data are gathered, displayed, summarized, examined, and interpreted to discover patterns. Spatial Mathematics: Theory and Practice through Mapping uses GIS as a platform to teach mathematical concepts and skills through visualization of numbers. It examines theory and practice from disparate academic disciplines such as geography, mathematics, physics, and general social science. This approach allows students to grapple with biodiversity, crime, natural hazards, climate, energy, water, and other relevant real-world issues of the twenty-first century. Includes QR Codes Linked to Animated Maps, a Mapping Activity Site, or to an Interactive Webpage, Creating an Interactive Resource That Stays Relevant The book integrates competing philosophical views of the world: synthesis and analysis. These two approaches yield different results and employ different tools. This book considers both approaches to looking at real-world issues that have mathematics as a critical, but often unseen, component. This approach shows readers how to use mathematics to consider the broad problem at hand and to explore diverse realms in the worlds of geography and mathematics and in their interface. A truly interdisciplinary text, the book bridges the worlds of mathematics and geography and demonstrates how they are inextricably linked. It takes advantage of the convergence in citizen science, STEM education, and mapping that help readers become critical consumers of data-understanding its content, quality, limitations, and benefits. It provides thorough grounding in the analytical, statistical, and computational skills required for working in any field that uses geospatial technologies-not just surveyors and remote sensing analysts.

Japan's Household Registration System (koseki seido) is an extremely powerful state instrument, and is socially entrenched with a long history of population governance, social control and the maintenance of social order. It provides identity whilst at the same time imposing identity upon everyone registered, and in turn, the state receives validity and legitimacy from the registration of its inhabitants. The study of the procedures and mechanisms for identifying and documenting people provides an important window into understanding statecraft, and by examining the koseki system, this book provides a keen insight into social and political change in Japan. By looking through the lens of the koseki system, the book takes both an historical as well as a contemporary approach to understanding Japanese society. In doing so, it develops our understanding of contemporary Japan within the historical context of population management and social control; reveals the social effects and influence of the koseki system throughout its history; and presents new insights into citizenship, nationality and identity. Furthermore, this book develops our knowledge of state functions and indeed the nation state itself, through engaging critically with important issues relating to the koseki while at the same time providing a platform for further investigation. The contributors to this volume utilise a variety of disciplinary areas including history, gender studies, sociology, law and anthropology, and each chapter provides insights that bring us closer to a comprehensive grasp of the role, effects and historical background of what is a crucial and influential instrument of the Japanese state. This book will be of great interest to students and scholars of Japanese history, Japanese culture and society, Japanese studies, Asian social policy and demography more generally.

Mapping Space, Sense, and Movement in Florence explores the potential of digital mapping or Historical GIS as a research and teaching tool to enable researchers and students to uncover the spatial, kinetic and sensory dimensions of the early modern city. The exploration focuses on new digital research and mapping projects that engage the rich social, cultural, and artistic life of Florence in particular. One is a new GIS tool known as DECIMA, (Digitally-Encoded Census Information and Mapping Archive), and the other is a smartphone app called Hidden Florence. The international collaborators who have helped build these and other projects address three questions: how such projects can be created when there are typically fewer sources than for modern cities; how they facilitate more collaborative models for historical research into social relations, senses, and emotions; and how they help us interrogate older historical interpretations and create new models of analysis and communication. Four authors examine technical issues around the software programs and manuscripts. Five then describe how GIS can be used to advance and develop existing research projects. Finally, four authors look to the future and consider how digital mapping transforms the communication of research results, and makes it possible to envision new directions in research. This exciting new volume is illustrated throughout with maps, screenshots and diagrams to show the projects at work. It will be essential reading for students and scholars of early modern Italy, the Renaissance and digital humanities.

Advances in Mapping from Remote Sensor Imagery: Techniques and Applications reviews some of the latest developments in remote sensing and information extraction techniques applicable to topographic and thematic mapping. Providing an interdisciplinary perspective, leading experts from around the world have contributed chapters examining state-of-the-art techniques as well as widely used methods.
The book covers a broad range of topics including photogrammetric mapping and LiDAR remote sensing for generating high quality topographic products, global digital elevation models, current methods for shoreline mapping, and the identification and classification of residential buildings. Contributors also showcase cutting-edge developments for environmental and ecological mapping, including assessment of urbanization patterns, mapping vegetation cover, monitoring invasive species, and mapping marine oil spills crucial for monitoring this significant environmental hazard.

The authors exemplify the information presented in this text with case studies from around the world. Examples include:

• Envisat/ERS-2 images used to generate digital elevation models over northern Alaska
• In situ radiometric observations and MERIS images employed to retrieve chlorophyll a concentration in inland waters in Australia
• ERS-1/2 SAR images utilized to map spatiotemporal deformation in the southwestern United States

Aerospace sensors and related information extraction techniques that support various mapping applications have recently garnered more attention due to the advances in remote sensing theories and technologies. This book brings together top researchers in the field, providing a state-of-the-art review of some of the latest advancements in remote sensing and mapping technologies.

The past 20 years can be regarded as the adolescence of geographic information science (GIS), as it grew from a burgeoning area of study into a mature and thriving field. During those two decades, the International Journal of Geographic Information Science (formerly Systems) (IJGIS) was one of the most prominent academic guiding forces in GIScience, and looks to remain so for the foreseeable future. To celebrate this important milestone, Peter Fisher-the second editor of IJGIS-has compiled 19 of the most significant and influential articles ever published in the journal. Classics from IJGIS: Twenty Years of the International Journal of Geographical Information Science and Systems contains articles that shaped the way we approach the science of GIS, provided seeds from which grew key developments that have molded the field, opened new avenues of discovery across the landscape of modern GIScience, and some that may mark how it will change in the future. Accompanying nearly every article is a commentary written by at least one of the original authors. In these commentaries, the authors reflect on various aspects of the original work, including what drove their original research, why the concepts were widely adopted (or in some cases, why not), and what the future may hold for new research embarking on these and similar areas. The 20th article in this collection is an original contribution that examines the social and collaborative networks operating within and shaping the body of research in the field.

Studies in the humanities and the social sciences can be enhanced through the use of geographic information systems (GIS). However, this computer-aided method of analysis is worthless unless researchers can devote the time necessary to learn what it is, what it can do, and how to use it. Resulting from a six-year project entitled Spatial Information Science for the Humanities and Social Sciences (SIS for HSS), GIS-Based Studies in the Humanities and Social Sciences details the tools and processes for deploying GIS in economic and social analyses. Through the use of this book, readers can understand how GIS technology can be utilized in advancing studies. This volume will also encourage professionals in humanities and the social sciences to employ new GIS-based methods in their own research.

Using a systems analysis approach and extensive case studies, Environmental Remote Sensing and Systems Analysis shows how remote sensing can be used to support environmental decision making. It presents a multidisciplinary framework and the latest remote sensing tools to understand environmental impacts, management complexity, and policy implications. Organized into three parts, this full-color book provides systematic coverage of water quality monitoring, air quality monitoring, and monitoring of land use patterns and degradation. Chapters elaborate on the interactions between human and natural systems, addressing questions such as "what are the regional impacts of an oil spill in coastal environments?" and "how does urbanization affect the rate of infiltration of water at urban-rural interfaces?" Throughout, contributors discuss new techniques and methods for measurements, mathematical modeling, and image processing. Key features: Compares data mining, machine learning, and image processing methods to help you select the best one for your needs Incorporates ground-based monitoring networks as part of air and water quality management Emphasizes environmental information management, with proper integration of GPS, GIS, and existing environmental databases Shows how modeling can be used for decision making Examines how remote sensing can be used to understand environmental health implications and to shape environmental management policies Demonstrates how systems analysis can be used to aid in environmental policy analysis Discusses opportunities for integrated field and laboratory studies in remote sensing education A useful reference for students, professionals, scientists, and policy makers in environmental management and informatics as well as environmental, agricultural, forest, and sustainability sciences, this book shows readers how to m